Миграция с tui на web ui.
This commit is contained in:
parent
3a5f502735
commit
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22 changed files with 3010 additions and 907 deletions
8
.gitignore
vendored
8
.gitignore
vendored
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@ -7,8 +7,14 @@ dist/
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build/
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build/
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runs/
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runs/
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mlruns/
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mlruns/
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mlflow/
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mlflow.db
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mlflow.db
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mlflow.db-shm
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mlflow.db-shm
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mlflow.db-wal
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mlflow.db-wal
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passport_obb_up/
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passport_obb_up/
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yolo11n.pt
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*.pt
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models/
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datasets/
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.yolo-webui/
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.yolo-tui/
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.DS_Store
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48
Dockerfile
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48
Dockerfile
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@ -0,0 +1,48 @@
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FROM python:3.11-slim
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# Build argument: 'cpu' for Mac/CPU-only environments, 'gpu' for CUDA/NVIDIA GPU support
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ARG DEVICE=gpu
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# Install system dependencies needed for OpenCV, PyTorch, and Ultralytics
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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libgl1 \
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libglib2.0-0 \
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libgomp1 \
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git \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv for fast dependency resolution using pip (avoids ghcr.io network issues)
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RUN pip install --no-cache-dir uv
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# Set working directory
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WORKDIR /workspace
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# Copy dependency definition
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COPY pyproject.toml ./
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# Install dependencies using uv pip in system python to bypass uv.lock file hashes
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# and fetch the correct PyTorch package based on the target DEVICE (CPU or GPU)
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RUN --mount=type=cache,target=/root/.cache/uv \
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if [ "$DEVICE" = "cpu" ]; then \
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echo "Installing CPU-only PyTorch..." && \
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uv pip install --system --extra-index-url https://download.pytorch.org/whl/cpu -r pyproject.toml; \
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else \
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echo "Installing GPU (CUDA) PyTorch..." && \
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uv pip install --system -r pyproject.toml; \
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fi
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# Copy source code and files
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COPY src ./src
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COPY README.md ./
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# Install the project itself without re-installing dependencies
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system --no-deps -e .
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# Expose Web UI port and MLflow port
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EXPOSE 8000
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EXPOSE 5000
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# Start Web UI using the system entry point
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CMD ["yolo-train-webui", "--host", "0.0.0.0", "--port", "8000"]
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23
docker-compose.yml
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23
docker-compose.yml
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@ -0,0 +1,23 @@
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services:
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webui:
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build:
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context: .
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args:
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- DEVICE=cpu # 'cpu' for Mac, change to 'gpu' on a Linux server with NVIDIA GPU
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image: yolo-train-webui:latest
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ports:
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- "8000:8000"
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volumes:
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- ./datasets:/workspace/datasets
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- ./runs:/workspace/runs
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- ./models:/workspace/models
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- ./models/.config:/root/.config/Ultralytics
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# Uncomment the block below on Linux with NVIDIA GPU to pass the graphics card into the container:
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# deploy:
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# resources:
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# reservations:
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# devices:
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# - driver: nvidia
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# count: all
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# capabilities: [gpu]
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restart: unless-stopped
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@ -1,21 +1,24 @@
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[project]
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[project]
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name = "yolo-train-tui"
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name = "yolo-train-webui"
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version = "0.1.0"
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version = "0.1.0"
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description = "Terminal UI for training Ultralytics YOLO models with MLflow tracking"
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description = "Web UI for training Ultralytics YOLO models with MLflow tracking"
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readme = "README.md"
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readme = "README.md"
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requires-python = ">=3.11"
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requires-python = ">=3.11"
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dependencies = [
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dependencies = [
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"fastapi>=0.110.0",
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"mlflow>=3.0",
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"mlflow>=3.0",
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"textual>=1.0",
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"ultralytics>=8.3",
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"ultralytics>=8.3",
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"uvicorn>=0.28.0",
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"websockets>=12.0",
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]
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]
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[project.scripts]
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[project.scripts]
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yolo-train-tui = "yolo_tui.app:main"
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yolo-train-webui = "yolo_webui.app:main"
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[dependency-groups]
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[dependency-groups]
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dev = [
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dev = [
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"pytest>=8.3",
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"pytest>=8.3",
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"httpx",
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]
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]
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[build-system]
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[build-system]
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@ -23,7 +26,7 @@ requires = ["hatchling"]
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build-backend = "hatchling.build"
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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[tool.hatch.build.targets.wheel]
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packages = ["src/yolo_tui"]
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packages = ["src/yolo_webui"]
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[tool.pytest.ini_options]
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[tool.pytest.ini_options]
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addopts = "-q"
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addopts = "-q"
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"""YOLO Train TUI package."""
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from .config import MlflowConfig, TrainingConfig
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__all__ = ["MlflowConfig", "TrainingConfig"]
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__version__ = "0.1.0"
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@ -1,662 +0,0 @@
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from __future__ import annotations
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from typing import Any
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from textual import on, work
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from textual.app import App, ComposeResult
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from textual.containers import Container, Horizontal, Vertical, VerticalScroll
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from textual.widgets import (
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Button,
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Footer,
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Header,
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Input,
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Label,
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ProgressBar,
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RichLog,
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Select,
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Static,
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Switch,
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)
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from .config import (
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AugmentationConfig,
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DatasetSplitConfig,
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MlflowConfig,
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SUPPORTED_AUTO_AUGMENT_POLICIES,
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SUPPORTED_COPY_PASTE_MODES,
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SUPPORTED_TASKS,
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TrainingConfig,
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)
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from .trainer import TrainingEvent, TrainingRunner
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class Field(Vertical):
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def __init__(self, label: str, control: Any, *, classes: str = "") -> None:
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super().__init__(classes=f"field {classes}".strip())
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self.label_text = label
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self.control = control
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def compose(self) -> ComposeResult:
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yield Label(self.label_text)
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yield self.control
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class YoloTrainApp(App[None]):
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TITLE = "YOLO Train Studio"
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SUB_TITLE = "Ultralytics + MLflow"
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CSS = """
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Screen {
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background: #0b1020;
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color: #dbe7ff;
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}
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Header {
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background: #111a33;
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color: #f5f8ff;
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}
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#workspace {
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height: 1fr;
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layout: horizontal;
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padding: 1 2;
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}
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#config-pane {
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width: 46%;
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min-width: 48;
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height: 100%;
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margin-right: 2;
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padding: 0 1 2 1;
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border: round #314268;
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background: #0e162b;
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}
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#run-pane {
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width: 1fr;
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height: 100%;
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padding: 1 2;
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border: round #314268;
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background: #0e162b;
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}
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.section-title {
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height: 2;
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margin-top: 1;
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color: #78a9ff;
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text-style: bold;
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}
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.field {
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height: auto;
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margin-bottom: 1;
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}
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.field Label {
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height: 1;
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margin-left: 1;
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color: #9fb1d1;
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}
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.field Input, .field Select {
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width: 100%;
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}
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.row {
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height: auto;
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}
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.row .field {
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width: 1fr;
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margin-right: 1;
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}
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.row .field:last-child {
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margin-right: 0;
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}
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.toggle-row {
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height: 3;
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align-vertical: middle;
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}
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.toggle-row Label {
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width: 1fr;
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color: #dbe7ff;
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}
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.toggle-row Switch {
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width: auto;
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}
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#status-card {
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height: auto;
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min-height: 5;
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padding: 1 2;
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margin-bottom: 1;
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border-left: thick #5b8def;
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background: #131f3b;
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}
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#status-title {
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color: #78a9ff;
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text-style: bold;
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}
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#progress {
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margin: 1 0;
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}
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#actions {
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height: 3;
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margin-bottom: 1;
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}
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#actions Button {
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width: 1fr;
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margin-right: 1;
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}
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#actions Button:last-child {
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margin-right: 0;
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}
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#log-title {
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height: 2;
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margin-top: 1;
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color: #9fb1d1;
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text-style: bold;
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}
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#log {
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height: 1fr;
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border: round #253455;
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background: #090f1e;
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padding: 0 1;
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}
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#hint {
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height: auto;
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margin-top: 1;
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color: #7384a3;
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}
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Footer {
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background: #111a33;
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}
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"""
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BINDINGS = [
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("ctrl+s", "start_training", "Запустить"),
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("ctrl+x", "stop_training", "Остановить"),
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("q", "quit", "Выход"),
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]
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def __init__(self) -> None:
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super().__init__()
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self.runner = TrainingRunner()
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self._training_running = False
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def compose(self) -> ComposeResult:
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yield Header(show_clock=True)
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with Container(id="workspace"):
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with VerticalScroll(id="config-pane"):
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yield Static("Модель и данные", classes="section-title")
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yield Field(
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"Тип задачи",
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Select(
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[(task.capitalize(), task) for task in SUPPORTED_TASKS],
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value="detect",
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id="task",
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allow_blank=False,
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),
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)
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yield Field(
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"Модель — путь, .pt/.yaml или официальное имя",
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Input(value="yolo11n.pt", placeholder="/models/best.pt", id="model"),
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)
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yield Field(
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"Датасет — путь к папке датасета",
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Input(value="coco8.yaml", placeholder="/path/to/dataset", id="dataset"),
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)
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yield Static("Разделение датасета (Train/Val)", classes="section-title")
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with Horizontal(classes="toggle-row"):
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yield Label("Разделить автоматически на train/val")
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yield Switch(value=False, id="split-enabled")
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with Horizontal(classes="row split-field"):
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yield Field("Доля train (0.1…0.95)", Input(value="0.8", id="split-ratio"))
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yield Field("Путь к classes.txt / YAML (необязательно)", Input(placeholder="Автопоиск", id="split-classes"))
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yield Static("Параметры обучения", classes="section-title")
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with Horizontal(classes="row"):
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yield Field("Эпохи", Input(value="100", type="integer", id="epochs"))
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yield Field("Размер", Input(value="640", type="integer", id="image-size"))
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yield Field("Batch", Input(value="16", type="integer", id="batch-size"))
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with Horizontal(classes="row"):
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yield Field("Device", Input(placeholder="cpu, 0, 0,1", id="device"))
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yield Field("Workers", Input(value="8", type="integer", id="workers"))
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yield Field("Patience", Input(value="100", type="integer", id="patience"))
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with Horizontal(classes="row"):
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yield Field("Каталог результатов", Input(value="runs/train", id="project"))
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yield Field("Имя запуска", Input(placeholder="experiment-01", id="run-name"))
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yield Static("Аугментация", classes="section-title")
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with Horizontal(classes="toggle-row"):
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yield Label("Передавать свои параметры аугментации в Ultralytics")
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yield Switch(value=True, id="augmentation-enabled")
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with Horizontal(classes="row augmentation-field"):
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yield Field("HSV hue · 0…1", Input(value="0.015", id="hsv-h"))
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yield Field("HSV saturation · 0…1", Input(value="0.7", id="hsv-s"))
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yield Field("HSV brightness · 0…1", Input(value="0.4", id="hsv-v"))
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with Horizontal(classes="row augmentation-field"):
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yield Field("Поворот · градусы", Input(value="0.0", id="degrees"))
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yield Field("Смещение · 0…1", Input(value="0.1", id="translate"))
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yield Field("Масштаб · 0…1", Input(value="0.5", id="scale"))
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with Horizontal(classes="row augmentation-field"):
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yield Field("Сдвиг · градусы", Input(value="0.0", id="shear"))
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yield Field("Перспектива · 0…1", Input(value="0.0", id="perspective"))
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yield Field("Закрыть mosaic · эпох", Input(value="10", type="integer", id="close-mosaic"))
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|
||||||
with Horizontal(classes="row augmentation-field"):
|
|
||||||
yield Field("Flip вверх/вниз · 0…1", Input(value="0.0", id="flipud"))
|
|
||||||
yield Field("Flip влево/вправо · 0…1", Input(value="0.5", id="fliplr"))
|
|
||||||
yield Field("RGB ↔ BGR · 0…1", Input(value="0.0", id="bgr"))
|
|
||||||
with Horizontal(classes="row augmentation-field"):
|
|
||||||
yield Field("Mosaic · 0…1", Input(value="1.0", id="mosaic"))
|
|
||||||
yield Field("MixUp · 0…1", Input(value="0.0", id="mixup"))
|
|
||||||
yield Field("CutMix · 0…1", Input(value="0.0", id="cutmix"))
|
|
||||||
with Horizontal(classes="row augmentation-field"):
|
|
||||||
yield Field("Copy-paste · 0…1", Input(value="0.0", id="copy-paste"))
|
|
||||||
yield Field("Erasing · 0…1", Input(value="0.4", id="erasing"))
|
|
||||||
yield Field(
|
|
||||||
"Режим copy-paste · segment",
|
|
||||||
Select(
|
|
||||||
[(mode.capitalize(), mode) for mode in SUPPORTED_COPY_PASTE_MODES],
|
|
||||||
value="flip",
|
|
||||||
id="copy-paste-mode",
|
|
||||||
allow_blank=False,
|
|
||||||
),
|
|
||||||
)
|
|
||||||
yield Field(
|
|
||||||
"AutoAugment · classify",
|
|
||||||
Select(
|
|
||||||
[(policy.capitalize(), policy) for policy in SUPPORTED_AUTO_AUGMENT_POLICIES],
|
|
||||||
value="randaugment",
|
|
||||||
id="auto-augment",
|
|
||||||
allow_blank=False,
|
|
||||||
),
|
|
||||||
classes="augmentation-field",
|
|
||||||
)
|
|
||||||
|
|
||||||
yield Static("MLflow", classes="section-title")
|
|
||||||
with Horizontal(classes="toggle-row"):
|
|
||||||
yield Label("Записывать метрики, параметры и артефакты")
|
|
||||||
yield Switch(value=True, id="mlflow-enabled")
|
|
||||||
yield Field(
|
|
||||||
"Tracking URI",
|
|
||||||
Input(value="sqlite:///mlflow.db", placeholder="http://127.0.0.1:5000", id="tracking-uri"),
|
|
||||||
classes="mlflow-field",
|
|
||||||
)
|
|
||||||
with Horizontal(classes="row mlflow-field"):
|
|
||||||
yield Field("Эксперимент", Input(value="yolo-tui", id="experiment-name"))
|
|
||||||
yield Field("MLflow run", Input(placeholder="необязательно", id="mlflow-run-name"))
|
|
||||||
|
|
||||||
with Vertical(id="run-pane"):
|
|
||||||
with Vertical(id="status-card"):
|
|
||||||
yield Static("ГОТОВО К ЗАПУСКУ", id="status-title")
|
|
||||||
yield Static("Проверьте параметры и начните обучение.", id="status-text")
|
|
||||||
yield ProgressBar(total=100, show_eta=True, id="progress")
|
|
||||||
with Horizontal(id="actions"):
|
|
||||||
yield Button("▶ Начать обучение", variant="primary", id="start-button")
|
|
||||||
yield Button("■ Остановить", variant="error", id="stop-button", disabled=True)
|
|
||||||
yield Static("Журнал", id="log-title")
|
|
||||||
yield RichLog(id="log", markup=True, wrap=True, highlight=False)
|
|
||||||
yield Static(
|
|
||||||
"MLflow работает локально без сервера. Просмотр: uv run mlflow ui --backend-store-uri sqlite:///mlflow.db",
|
|
||||||
id="hint",
|
|
||||||
)
|
|
||||||
yield Footer()
|
|
||||||
|
|
||||||
def on_mount(self) -> None:
|
|
||||||
import os
|
|
||||||
os.environ["MPLBACKEND"] = "Agg"
|
|
||||||
import ultralytics
|
|
||||||
|
|
||||||
self.query_one("#progress", ProgressBar).update(progress=0)
|
|
||||||
self._write_log("[dim]Интерфейс готов. Обучение еще не запускалось.[/dim]")
|
|
||||||
for control in self.query(".split-field Input"):
|
|
||||||
control.disabled = True
|
|
||||||
|
|
||||||
@on(Switch.Changed, "#split-enabled")
|
|
||||||
def toggle_split(self, event: Switch.Changed) -> None:
|
|
||||||
if self.query_one("#task", Select).value == "classify" and event.value:
|
|
||||||
self.query_one("#split-enabled", Switch).value = False
|
|
||||||
self.notify(
|
|
||||||
"Для classify укажите готовый каталог с train/val по классам.",
|
|
||||||
severity="warning",
|
|
||||||
)
|
|
||||||
return
|
|
||||||
for control in self.query(".split-field Input"):
|
|
||||||
control.disabled = not event.value
|
|
||||||
|
|
||||||
@on(Select.Changed, "#task")
|
|
||||||
def task_changed(self, event: Select.Changed) -> None:
|
|
||||||
split_switch = self.query_one("#split-enabled", Switch)
|
|
||||||
is_classify = event.value == "classify"
|
|
||||||
if is_classify and split_switch.value:
|
|
||||||
split_switch.value = False
|
|
||||||
split_switch.disabled = is_classify
|
|
||||||
for control in self.query(".split-field Input"):
|
|
||||||
control.disabled = is_classify or not split_switch.value
|
|
||||||
|
|
||||||
@on(Switch.Changed, "#mlflow-enabled")
|
|
||||||
def toggle_mlflow(self, event: Switch.Changed) -> None:
|
|
||||||
for widget_id in ("tracking-uri", "experiment-name", "mlflow-run-name"):
|
|
||||||
self.query_one(f"#{widget_id}", Input).disabled = not event.value
|
|
||||||
|
|
||||||
@on(Switch.Changed, "#augmentation-enabled")
|
|
||||||
def toggle_augmentation(self, event: Switch.Changed) -> None:
|
|
||||||
for control in self.query(".augmentation-field Input"):
|
|
||||||
control.disabled = not event.value
|
|
||||||
for control in self.query(".augmentation-field Select"):
|
|
||||||
control.disabled = not event.value
|
|
||||||
|
|
||||||
@on(Button.Pressed, "#start-button")
|
|
||||||
def start_pressed(self) -> None:
|
|
||||||
self.action_start_training()
|
|
||||||
|
|
||||||
@on(Button.Pressed, "#stop-button")
|
|
||||||
def stop_pressed(self) -> None:
|
|
||||||
self.action_stop_training()
|
|
||||||
|
|
||||||
def action_start_training(self) -> None:
|
|
||||||
if self._training_running:
|
|
||||||
self.notify("Обучение уже выполняется.", severity="warning")
|
|
||||||
return
|
|
||||||
try:
|
|
||||||
config = self._read_config()
|
|
||||||
config.validate()
|
|
||||||
except ValueError as exc:
|
|
||||||
self.notify(str(exc), title="Проверьте параметры", severity="error")
|
|
||||||
return
|
|
||||||
|
|
||||||
self.runner.prepare_run()
|
|
||||||
self._set_running(True)
|
|
||||||
progress = self.query_one("#progress", ProgressBar)
|
|
||||||
progress.update(total=config.epochs, progress=0)
|
|
||||||
self.query_one("#status-title", Static).update("ПОДГОТОВКА")
|
|
||||||
self.query_one("#status-text", Static).update("Загружаю модель и датасет…")
|
|
||||||
self._write_log(
|
|
||||||
f"[bold #78a9ff]Запуск:[/] задача={config.task}, модель={config.model}, датасет={config.dataset}"
|
|
||||||
)
|
|
||||||
if config.mlflow.enabled:
|
|
||||||
self._write_log(
|
|
||||||
f"[dim]MLflow: {config.mlflow.tracking_uri} · эксперимент {config.mlflow.experiment_name}[/dim]"
|
|
||||||
)
|
|
||||||
if config.augmentation.enabled:
|
|
||||||
self._write_log(
|
|
||||||
f"[dim]Аугментация: mosaic={config.augmentation.mosaic}, "
|
|
||||||
f"mixup={config.augmentation.mixup}, fliplr={config.augmentation.fliplr}[/dim]"
|
|
||||||
)
|
|
||||||
self._train_in_background(config)
|
|
||||||
|
|
||||||
def action_stop_training(self) -> None:
|
|
||||||
if not self._training_running:
|
|
||||||
return
|
|
||||||
self.runner.request_stop()
|
|
||||||
self.query_one("#status-title", Static).update("ОСТАНОВКА")
|
|
||||||
self.query_one("#status-text", Static).update("Корректно останавливаю обучение…")
|
|
||||||
self.query_one("#stop-button", Button).disabled = True
|
|
||||||
self._write_log("[yellow]Запрошена остановка обучения.[/yellow]")
|
|
||||||
|
|
||||||
@work(thread=True, exclusive=True, group="yolo-training")
|
|
||||||
def _train_in_background(self, config: TrainingConfig) -> None:
|
|
||||||
import json
|
|
||||||
import os
|
|
||||||
import subprocess
|
|
||||||
import sys
|
|
||||||
import tempfile
|
|
||||||
from rich.markup import escape
|
|
||||||
|
|
||||||
temp_config_path = None
|
|
||||||
process = None
|
|
||||||
try:
|
|
||||||
with tempfile.NamedTemporaryFile("w", suffix=".json", delete=False, encoding="utf-8") as f:
|
|
||||||
json.dump(config.to_dict(), f)
|
|
||||||
temp_config_path = f.name
|
|
||||||
|
|
||||||
cmd = [sys.executable, "-m", "yolo_tui.subprocess_runner", temp_config_path]
|
|
||||||
process = subprocess.Popen(
|
|
||||||
cmd,
|
|
||||||
stdout=subprocess.PIPE,
|
|
||||||
stderr=subprocess.STDOUT,
|
|
||||||
text=True,
|
|
||||||
bufsize=1,
|
|
||||||
)
|
|
||||||
self.runner.set_subprocess(process, ready=False)
|
|
||||||
|
|
||||||
output_dir = None
|
|
||||||
|
|
||||||
while True:
|
|
||||||
line = process.stdout.readline()
|
|
||||||
if not line:
|
|
||||||
break
|
|
||||||
line_str = line.strip()
|
|
||||||
if not line_str:
|
|
||||||
continue
|
|
||||||
|
|
||||||
if line_str == "__YOLO_TUI_READY__":
|
|
||||||
self.runner.mark_subprocess_ready()
|
|
||||||
elif line_str.startswith("__YOLO_TUI_EVENT__:"):
|
|
||||||
try:
|
|
||||||
event_data = json.loads(line_str[len("__YOLO_TUI_EVENT__:"):])
|
|
||||||
event = TrainingEvent(
|
|
||||||
kind=event_data["kind"],
|
|
||||||
message=event_data["message"],
|
|
||||||
epoch=event_data["epoch"],
|
|
||||||
total_epochs=event_data["total_epochs"],
|
|
||||||
)
|
|
||||||
self.app.call_from_thread(self._handle_training_event, event)
|
|
||||||
except Exception:
|
|
||||||
pass
|
|
||||||
elif line_str.startswith("__YOLO_TUI_RESULT__:"):
|
|
||||||
output_dir = line_str[len("__YOLO_TUI_RESULT__:"):]
|
|
||||||
else:
|
|
||||||
self.app.call_from_thread(self._write_log, escape(line_str))
|
|
||||||
|
|
||||||
process.wait()
|
|
||||||
rc = process.returncode
|
|
||||||
self.runner.clear_subprocess()
|
|
||||||
|
|
||||||
if rc == 0:
|
|
||||||
self.app.call_from_thread(self._training_finished, output_dir)
|
|
||||||
else:
|
|
||||||
if self.runner.stop_requested:
|
|
||||||
self.app.call_from_thread(self._training_finished, None)
|
|
||||||
else:
|
|
||||||
self.app.call_from_thread(
|
|
||||||
self._training_failed,
|
|
||||||
Exception("Процесс обучения завершился с ошибкой. Проверьте логи выше."),
|
|
||||||
)
|
|
||||||
|
|
||||||
except Exception as exc:
|
|
||||||
import traceback
|
|
||||||
if process is not None:
|
|
||||||
try:
|
|
||||||
if process.poll() is None:
|
|
||||||
process.kill()
|
|
||||||
process.wait(timeout=5)
|
|
||||||
except Exception:
|
|
||||||
pass
|
|
||||||
self.runner.clear_subprocess()
|
|
||||||
details = escape(traceback.format_exc())
|
|
||||||
self.app.call_from_thread(
|
|
||||||
self._write_log,
|
|
||||||
f"[red]{details}[/red]",
|
|
||||||
)
|
|
||||||
self.app.call_from_thread(self._training_failed, exc)
|
|
||||||
finally:
|
|
||||||
if temp_config_path and os.path.exists(temp_config_path):
|
|
||||||
try:
|
|
||||||
os.unlink(temp_config_path)
|
|
||||||
except Exception:
|
|
||||||
pass
|
|
||||||
self.runner.clear_subprocess()
|
|
||||||
|
|
||||||
def _handle_training_event(self, event: TrainingEvent) -> None:
|
|
||||||
styles = {
|
|
||||||
"info": "#9fb1d1",
|
|
||||||
"started": "#78a9ff",
|
|
||||||
"epoch": "#b7c9e8",
|
|
||||||
"warning": "yellow",
|
|
||||||
"success": "green",
|
|
||||||
}
|
|
||||||
self._write_log(f"[{styles.get(event.kind, 'white')}]{event.message}[/]")
|
|
||||||
if event.kind == "started":
|
|
||||||
self.query_one("#status-title", Static).update("ОБУЧЕНИЕ")
|
|
||||||
self.query_one("#status-text", Static).update(f"Выполняется 0 из {event.total_epochs} эпох.")
|
|
||||||
elif event.kind == "epoch":
|
|
||||||
self.query_one("#progress", ProgressBar).update(
|
|
||||||
total=event.total_epochs or None,
|
|
||||||
progress=event.epoch,
|
|
||||||
)
|
|
||||||
self.query_one("#status-text", Static).update(event.message)
|
|
||||||
|
|
||||||
def _training_finished(self, output_dir: Any | None) -> None:
|
|
||||||
stopped = self.runner.stop_requested
|
|
||||||
self._set_running(False)
|
|
||||||
if stopped:
|
|
||||||
title = "ОСТАНОВЛЕНО"
|
|
||||||
message = "Обучение остановлено. Уже сохраненные checkpoints не удалены."
|
|
||||||
style = "yellow"
|
|
||||||
else:
|
|
||||||
title = "ГОТОВО"
|
|
||||||
message = "Обучение успешно завершено."
|
|
||||||
style = "green"
|
|
||||||
progress = self.query_one("#progress", ProgressBar)
|
|
||||||
progress.update(progress=progress.total)
|
|
||||||
self.query_one("#status-title", Static).update(title)
|
|
||||||
self.query_one("#status-text", Static).update(message)
|
|
||||||
if output_dir:
|
|
||||||
self._write_log(f"[{style}]Результаты: {output_dir}[/]")
|
|
||||||
self.notify(message, severity="warning" if stopped else "information")
|
|
||||||
|
|
||||||
def _training_failed(self, error: Exception) -> None:
|
|
||||||
self._set_running(False)
|
|
||||||
self.query_one("#status-title", Static).update("ОШИБКА")
|
|
||||||
self.query_one("#status-text", Static).update(str(error))
|
|
||||||
self._write_log(f"[bold red]Ошибка: {error}[/bold red]")
|
|
||||||
self.notify(str(error), title="Обучение не запущено", severity="error", timeout=10)
|
|
||||||
|
|
||||||
def _set_running(self, running: bool) -> None:
|
|
||||||
self._training_running = running
|
|
||||||
self.query_one("#start-button", Button).disabled = running
|
|
||||||
self.query_one("#stop-button", Button).disabled = not running
|
|
||||||
|
|
||||||
def _read_config(self) -> TrainingConfig:
|
|
||||||
task = self.query_one("#task", Select).value
|
|
||||||
if task not in SUPPORTED_TASKS:
|
|
||||||
raise ValueError("Выберите тип задачи YOLO.")
|
|
||||||
|
|
||||||
augmentation_enabled = self.query_one("#augmentation-enabled", Switch).value
|
|
||||||
if augmentation_enabled:
|
|
||||||
augmentation = AugmentationConfig(
|
|
||||||
enabled=True,
|
|
||||||
hsv_h=self._float("hsv-h", "HSV hue"),
|
|
||||||
hsv_s=self._float("hsv-s", "HSV saturation"),
|
|
||||||
hsv_v=self._float("hsv-v", "HSV brightness"),
|
|
||||||
degrees=self._float("degrees", "Поворот"),
|
|
||||||
translate=self._float("translate", "Смещение"),
|
|
||||||
scale=self._float("scale", "Масштаб"),
|
|
||||||
shear=self._float("shear", "Сдвиг"),
|
|
||||||
perspective=self._float("perspective", "Перспектива"),
|
|
||||||
flipud=self._float("flipud", "Flip вверх/вниз"),
|
|
||||||
fliplr=self._float("fliplr", "Flip влево/вправо"),
|
|
||||||
bgr=self._float("bgr", "RGB ↔ BGR"),
|
|
||||||
mosaic=self._float("mosaic", "Mosaic"),
|
|
||||||
mixup=self._float("mixup", "MixUp"),
|
|
||||||
cutmix=self._float("cutmix", "CutMix"),
|
|
||||||
copy_paste=self._float("copy-paste", "Copy-paste"),
|
|
||||||
copy_paste_mode=self._select(
|
|
||||||
"copy-paste-mode",
|
|
||||||
"режим copy-paste",
|
|
||||||
SUPPORTED_COPY_PASTE_MODES,
|
|
||||||
),
|
|
||||||
auto_augment=self._select(
|
|
||||||
"auto-augment",
|
|
||||||
"политику AutoAugment",
|
|
||||||
SUPPORTED_AUTO_AUGMENT_POLICIES,
|
|
||||||
),
|
|
||||||
erasing=self._float("erasing", "Erasing"),
|
|
||||||
close_mosaic=self._integer("close-mosaic", "Close mosaic"),
|
|
||||||
)
|
|
||||||
else:
|
|
||||||
augmentation = AugmentationConfig(enabled=False)
|
|
||||||
|
|
||||||
mlflow_enabled = self.query_one("#mlflow-enabled", Switch).value
|
|
||||||
if mlflow_enabled:
|
|
||||||
mlflow = MlflowConfig(
|
|
||||||
enabled=True,
|
|
||||||
tracking_uri=self._input("tracking-uri"),
|
|
||||||
experiment_name=self._input("experiment-name"),
|
|
||||||
run_name=self._input("mlflow-run-name"),
|
|
||||||
)
|
|
||||||
else:
|
|
||||||
mlflow = MlflowConfig(enabled=False)
|
|
||||||
|
|
||||||
split_enabled = self.query_one("#split-enabled", Switch).value
|
|
||||||
if split_enabled:
|
|
||||||
split_config = DatasetSplitConfig(
|
|
||||||
enabled=True,
|
|
||||||
train_ratio=self._float("split-ratio", "Доля train"),
|
|
||||||
classes_path=self._input("split-classes"),
|
|
||||||
)
|
|
||||||
else:
|
|
||||||
split_config = DatasetSplitConfig(enabled=False)
|
|
||||||
|
|
||||||
return TrainingConfig(
|
|
||||||
dataset=self._input("dataset"),
|
|
||||||
model=self._input("model"),
|
|
||||||
task=task,
|
|
||||||
epochs=self._integer("epochs", "Эпохи"),
|
|
||||||
image_size=self._integer("image-size", "Размер изображения"),
|
|
||||||
batch_size=self._integer("batch-size", "Batch"),
|
|
||||||
device=self._input("device"),
|
|
||||||
workers=self._integer("workers", "Workers"),
|
|
||||||
patience=self._integer("patience", "Patience"),
|
|
||||||
project=self._input("project"),
|
|
||||||
run_name=self._input("run-name"),
|
|
||||||
augmentation=augmentation,
|
|
||||||
mlflow=mlflow,
|
|
||||||
split=split_config,
|
|
||||||
)
|
|
||||||
|
|
||||||
def _input(self, widget_id: str) -> str:
|
|
||||||
return self.query_one(f"#{widget_id}", Input).value.strip()
|
|
||||||
|
|
||||||
def _integer(self, widget_id: str, label: str) -> int:
|
|
||||||
value = self._input(widget_id)
|
|
||||||
try:
|
|
||||||
return int(value)
|
|
||||||
except ValueError as exc:
|
|
||||||
raise ValueError(f"Поле «{label}» должно быть целым числом.") from exc
|
|
||||||
|
|
||||||
def _float(self, widget_id: str, label: str) -> float:
|
|
||||||
value = self._input(widget_id).replace(",", ".")
|
|
||||||
try:
|
|
||||||
return float(value)
|
|
||||||
except ValueError as exc:
|
|
||||||
raise ValueError(f"Поле «{label}» должно быть числом.") from exc
|
|
||||||
|
|
||||||
def _select(self, widget_id: str, label: str, choices: tuple[str, ...]) -> Any:
|
|
||||||
value = self.query_one(f"#{widget_id}", Select).value
|
|
||||||
if value not in choices:
|
|
||||||
raise ValueError(f"Выберите {label}.")
|
|
||||||
return value
|
|
||||||
|
|
||||||
def _write_log(self, message: str) -> None:
|
|
||||||
self.query_one("#log", RichLog).write(message)
|
|
||||||
|
|
||||||
|
|
||||||
def main() -> None:
|
|
||||||
YoloTrainApp().run()
|
|
||||||
6
src/yolo_webui/__init__.py
Normal file
6
src/yolo_webui/__init__.py
Normal file
|
|
@ -0,0 +1,6 @@
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from .config import TrainingConfig
|
||||||
|
from .trainer import TrainingEvent, TrainingRunner
|
||||||
|
|
||||||
|
__all__ = ["TrainingConfig", "TrainingEvent", "TrainingRunner"]
|
||||||
|
|
@ -1,6 +1,4 @@
|
||||||
from .app import main
|
from yolo_webui.app import main
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
main()
|
main()
|
||||||
|
|
||||||
477
src/yolo_webui/app.py
Normal file
477
src/yolo_webui/app.py
Normal file
|
|
@ -0,0 +1,477 @@
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import argparse
|
||||||
|
import json
|
||||||
|
import logging
|
||||||
|
import os
|
||||||
|
import subprocess
|
||||||
|
import sys
|
||||||
|
import tempfile
|
||||||
|
import threading
|
||||||
|
from dataclasses import asdict, dataclass, field
|
||||||
|
from pathlib import Path
|
||||||
|
from typing import Any
|
||||||
|
|
||||||
|
from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect
|
||||||
|
from fastapi.responses import HTMLResponse
|
||||||
|
from fastapi.staticfiles import StaticFiles
|
||||||
|
import uvicorn
|
||||||
|
|
||||||
|
from yolo_webui.config import TrainingConfig
|
||||||
|
from yolo_webui.trainer import TrainingRunner
|
||||||
|
|
||||||
|
# Set up logging
|
||||||
|
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
|
||||||
|
logger = logging.getLogger("yolo_webui")
|
||||||
|
|
||||||
|
|
||||||
|
@dataclass
|
||||||
|
class LiveState:
|
||||||
|
status: str = "idle" # idle, preparing, training, stopping, finished, failed
|
||||||
|
epoch: int = 0
|
||||||
|
total_epochs: int = 0
|
||||||
|
logs: list[str] = field(default_factory=list)
|
||||||
|
metrics: list[dict[str, Any]] = field(default_factory=list)
|
||||||
|
output_dir: str | None = None
|
||||||
|
stop_requested: bool = False
|
||||||
|
|
||||||
|
def reset(self) -> None:
|
||||||
|
self.status = "idle"
|
||||||
|
self.epoch = 0
|
||||||
|
self.total_epochs = 0
|
||||||
|
self.logs = []
|
||||||
|
self.metrics = []
|
||||||
|
self.output_dir = None
|
||||||
|
self.stop_requested = False
|
||||||
|
|
||||||
|
|
||||||
|
class TrainingManager:
|
||||||
|
"""Manages the background training subprocess and WebSocket clients."""
|
||||||
|
|
||||||
|
def __init__(self) -> None:
|
||||||
|
self.state = LiveState()
|
||||||
|
self.runner = TrainingRunner()
|
||||||
|
self.active_websockets: set[WebSocket] = set()
|
||||||
|
self._lock = threading.Lock()
|
||||||
|
self._thread: threading.Thread | None = None
|
||||||
|
|
||||||
|
def add_websocket(self, websocket: WebSocket) -> None:
|
||||||
|
with self._lock:
|
||||||
|
self.active_websockets.add(websocket)
|
||||||
|
|
||||||
|
def remove_websocket(self, websocket: WebSocket) -> None:
|
||||||
|
with self._lock:
|
||||||
|
self.active_websockets.discard(websocket)
|
||||||
|
|
||||||
|
def broadcast(self, data: dict[str, Any]) -> None:
|
||||||
|
payload = json.dumps(data)
|
||||||
|
# Create a copy under lock to avoid modification during traversal
|
||||||
|
with self._lock:
|
||||||
|
sockets = list(self.active_websockets)
|
||||||
|
|
||||||
|
# Send outside lock to prevent blocking
|
||||||
|
for ws in sockets:
|
||||||
|
try:
|
||||||
|
import asyncio
|
||||||
|
# Check if we are in an event loop
|
||||||
|
try:
|
||||||
|
loop = asyncio.get_event_loop()
|
||||||
|
except RuntimeError:
|
||||||
|
loop = asyncio.new_event_loop()
|
||||||
|
asyncio.set_event_loop(loop)
|
||||||
|
|
||||||
|
if loop.is_running():
|
||||||
|
loop.create_task(ws.send_text(payload))
|
||||||
|
else:
|
||||||
|
loop.run_until_complete(ws.send_text(payload))
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
|
||||||
|
def add_log(self, text: str, level: str = "info") -> None:
|
||||||
|
log_entry = f"__LOG_LEVEL_{level.upper()}__:{text}"
|
||||||
|
with self._lock:
|
||||||
|
if level == "progress" and self.state.logs and self.state.logs[-1].startswith("__LOG_LEVEL_PROGRESS__"):
|
||||||
|
self.state.logs[-1] = log_entry
|
||||||
|
else:
|
||||||
|
self.state.logs.append(log_entry)
|
||||||
|
self.broadcast({"type": "log", "message": text, "level": level})
|
||||||
|
|
||||||
|
def start_training(self, config: TrainingConfig) -> None:
|
||||||
|
with self._lock:
|
||||||
|
if self.state.status in ("preparing", "training", "stopping"):
|
||||||
|
raise ValueError("Обучение уже выполняется.")
|
||||||
|
|
||||||
|
self.state.reset()
|
||||||
|
self.state.status = "preparing"
|
||||||
|
self.runner.prepare_run()
|
||||||
|
self._thread = threading.Thread(target=self._run_subprocess, args=(config,), daemon=True)
|
||||||
|
self._thread.start()
|
||||||
|
|
||||||
|
self.broadcast({"type": "status", "status": self.state.status})
|
||||||
|
self.add_log(f"Запуск: задача={config.task}, модель={config.model}, датасет={config.dataset}", "started")
|
||||||
|
if config.mlflow.enabled:
|
||||||
|
self.add_log(f"MLflow: {config.mlflow.tracking_uri} · эксперимент {config.mlflow.experiment_name}", "info")
|
||||||
|
if config.augmentation.enabled:
|
||||||
|
self.add_log(f"Аугментация: enabled=True, mosaic={config.augmentation.mosaic}, mixup={config.augmentation.mixup}", "info")
|
||||||
|
|
||||||
|
def stop_training(self) -> None:
|
||||||
|
with self._lock:
|
||||||
|
if self.state.status not in ("preparing", "training"):
|
||||||
|
return
|
||||||
|
self.state.status = "stopping"
|
||||||
|
self.state.stop_requested = True
|
||||||
|
self.runner.request_stop()
|
||||||
|
|
||||||
|
self.broadcast({"type": "status", "status": self.state.status})
|
||||||
|
self.add_log("Запрошена остановка обучения...", "warning")
|
||||||
|
|
||||||
|
def _handle_subprocess_line(self, line_str: str, is_progress: bool = False) -> None:
|
||||||
|
line_str = line_str.strip()
|
||||||
|
if not line_str:
|
||||||
|
return
|
||||||
|
|
||||||
|
if line_str == "__YOLO_WEBUI_READY__":
|
||||||
|
self.runner.mark_subprocess_ready()
|
||||||
|
elif line_str.startswith("__YOLO_WEBUI_EVENT__:"):
|
||||||
|
try:
|
||||||
|
event_data = json.loads(line_str[len("__YOLO_WEBUI_EVENT__:") :])
|
||||||
|
kind = event_data["kind"]
|
||||||
|
message = event_data["message"]
|
||||||
|
epoch = event_data["epoch"]
|
||||||
|
total = event_data["total_epochs"]
|
||||||
|
|
||||||
|
metrics_dict = {}
|
||||||
|
if kind == "epoch":
|
||||||
|
with self._lock:
|
||||||
|
self.state.epoch = epoch
|
||||||
|
self.state.total_epochs = total
|
||||||
|
if " · " in message:
|
||||||
|
parts = message.split(" · ")[1:]
|
||||||
|
for p in parts:
|
||||||
|
if "=" in p:
|
||||||
|
k, v = p.split("=")
|
||||||
|
try:
|
||||||
|
metrics_dict[k.strip()] = float(v.strip())
|
||||||
|
except ValueError:
|
||||||
|
pass
|
||||||
|
if metrics_dict:
|
||||||
|
metrics_dict["epoch"] = epoch
|
||||||
|
with self._lock:
|
||||||
|
self.state.metrics.append(metrics_dict)
|
||||||
|
|
||||||
|
with self._lock:
|
||||||
|
if kind == "started" and self.state.status == "preparing":
|
||||||
|
self.state.status = "training"
|
||||||
|
self.broadcast({"type": "status", "status": self.state.status})
|
||||||
|
|
||||||
|
self.add_log(message, "progress" if is_progress else kind)
|
||||||
|
self.broadcast({
|
||||||
|
"type": "progress",
|
||||||
|
"epoch": epoch,
|
||||||
|
"total_epochs": total,
|
||||||
|
"metrics": metrics_dict,
|
||||||
|
"message": message
|
||||||
|
})
|
||||||
|
except Exception as e:
|
||||||
|
logger.error(f"Error parsing event: {e}")
|
||||||
|
elif line_str.startswith("__YOLO_WEBUI_RESULT__:"):
|
||||||
|
with self._lock:
|
||||||
|
self.state.output_dir = line_str[len("__YOLO_WEBUI_RESULT__:") :]
|
||||||
|
else:
|
||||||
|
self.add_log(line_str, "info")
|
||||||
|
|
||||||
|
def _run_subprocess(self, config: TrainingConfig) -> None:
|
||||||
|
temp_config_path = None
|
||||||
|
process = None
|
||||||
|
try:
|
||||||
|
with tempfile.NamedTemporaryFile("w", suffix=".json", delete=False, encoding="utf-8") as f:
|
||||||
|
json.dump(config.to_dict(), f)
|
||||||
|
temp_config_path = f.name
|
||||||
|
|
||||||
|
# Run python with -u to disable block buffering for real-time progress output
|
||||||
|
cmd = [sys.executable, "-u", "-m", "yolo_webui.subprocess_runner", temp_config_path]
|
||||||
|
process = subprocess.Popen(
|
||||||
|
cmd,
|
||||||
|
stdout=subprocess.PIPE,
|
||||||
|
stderr=subprocess.STDOUT,
|
||||||
|
text=True,
|
||||||
|
bufsize=1,
|
||||||
|
)
|
||||||
|
self.runner.set_subprocess(process, ready=False)
|
||||||
|
|
||||||
|
buffer = ""
|
||||||
|
while True:
|
||||||
|
char = process.stdout.read(1)
|
||||||
|
if not char:
|
||||||
|
if buffer:
|
||||||
|
self._handle_subprocess_line(buffer, is_progress=False)
|
||||||
|
break
|
||||||
|
|
||||||
|
if char in ("\r", "\n"):
|
||||||
|
if buffer:
|
||||||
|
self._handle_subprocess_line(buffer, is_progress=(char == "\r"))
|
||||||
|
buffer = ""
|
||||||
|
else:
|
||||||
|
buffer += char
|
||||||
|
|
||||||
|
process.wait()
|
||||||
|
rc = process.returncode
|
||||||
|
self.runner.clear_subprocess()
|
||||||
|
|
||||||
|
stopped = False
|
||||||
|
with self._lock:
|
||||||
|
stopped = self.state.stop_requested
|
||||||
|
|
||||||
|
if rc == 0:
|
||||||
|
with self._lock:
|
||||||
|
self.state.status = "finished"
|
||||||
|
self.add_log("Обучение успешно завершено.", "success")
|
||||||
|
else:
|
||||||
|
if stopped:
|
||||||
|
with self._lock:
|
||||||
|
self.state.status = "finished"
|
||||||
|
self.add_log("Обучение остановлено пользователем.", "warning")
|
||||||
|
else:
|
||||||
|
with self._lock:
|
||||||
|
self.state.status = "failed"
|
||||||
|
self.add_log("Процесс обучения завершился с ошибкой. Проверьте логи выше.", "error")
|
||||||
|
|
||||||
|
except Exception as exc:
|
||||||
|
logger.exception("Error in training process thread:")
|
||||||
|
if process is not None:
|
||||||
|
try:
|
||||||
|
if process.poll() is None:
|
||||||
|
process.kill()
|
||||||
|
process.wait(timeout=5)
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
self.runner.clear_subprocess()
|
||||||
|
|
||||||
|
with self._lock:
|
||||||
|
self.state.status = "failed"
|
||||||
|
self.add_log(f"Внутренняя ошибка менеджера: {exc}", "error")
|
||||||
|
finally:
|
||||||
|
if temp_config_path and os.path.exists(temp_config_path):
|
||||||
|
try:
|
||||||
|
os.unlink(temp_config_path)
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
self.runner.clear_subprocess()
|
||||||
|
self.broadcast({"type": "status", "status": self.state.status, "output_dir": self.state.output_dir})
|
||||||
|
|
||||||
|
|
||||||
|
manager = TrainingManager()
|
||||||
|
app = FastAPI(title="YOLO Train Studio Web")
|
||||||
|
|
||||||
|
# Serve UI static folder
|
||||||
|
static_dir = Path(__file__).parent / "static"
|
||||||
|
if static_dir.exists():
|
||||||
|
app.mount("/static", StaticFiles(directory=static_dir), name="static")
|
||||||
|
|
||||||
|
|
||||||
|
@app.get("/", response_class=HTMLResponse)
|
||||||
|
async def get_index():
|
||||||
|
index_file = static_dir / "index.html"
|
||||||
|
if not index_file.exists():
|
||||||
|
return HTMLResponse(
|
||||||
|
content="<h1>YOLO Train Studio Web</h1><p>Static assets are missing. Place index.html under static/.</p>",
|
||||||
|
status_code=404,
|
||||||
|
)
|
||||||
|
return HTMLResponse(content=index_file.read_text(encoding="utf-8"))
|
||||||
|
|
||||||
|
|
||||||
|
def get_sessions_dir() -> Path:
|
||||||
|
path = Path("runs") / "sessions"
|
||||||
|
path.mkdir(parents=True, exist_ok=True)
|
||||||
|
return path
|
||||||
|
|
||||||
|
|
||||||
|
@app.get("/api/config/defaults")
|
||||||
|
async def get_defaults():
|
||||||
|
# Return defaults by instantiating with dummy paths and serializing
|
||||||
|
defaults = TrainingConfig(dataset="coco8.yaml", model="yolo11n.pt")
|
||||||
|
return defaults.to_dict()
|
||||||
|
|
||||||
|
|
||||||
|
@app.get("/api/sessions")
|
||||||
|
async def list_sessions():
|
||||||
|
sessions_dir = get_sessions_dir()
|
||||||
|
files = sessions_dir.glob("*.json")
|
||||||
|
names = [f.stem for f in files if f.name != "last_run.json"]
|
||||||
|
return sorted(names)
|
||||||
|
|
||||||
|
|
||||||
|
@app.get("/api/datasets")
|
||||||
|
async def list_datasets():
|
||||||
|
datasets_dir = Path("datasets")
|
||||||
|
if not datasets_dir.exists():
|
||||||
|
return []
|
||||||
|
|
||||||
|
items = []
|
||||||
|
try:
|
||||||
|
for path in datasets_dir.iterdir():
|
||||||
|
if path.is_dir() and not path.name.startswith("."):
|
||||||
|
items.append({
|
||||||
|
"name": path.name,
|
||||||
|
"path": str(path.absolute()),
|
||||||
|
"type": "directory"
|
||||||
|
})
|
||||||
|
elif path.is_file() and path.suffix.lower() in (".yaml", ".yml"):
|
||||||
|
items.append({
|
||||||
|
"name": path.name,
|
||||||
|
"path": str(path.absolute()),
|
||||||
|
"type": "yaml"
|
||||||
|
})
|
||||||
|
except Exception as e:
|
||||||
|
logger.error(f"Failed to list datasets: {e}")
|
||||||
|
|
||||||
|
return sorted(items, key=lambda x: x["name"])
|
||||||
|
|
||||||
|
|
||||||
|
@app.get("/api/models")
|
||||||
|
async def list_models():
|
||||||
|
models_dir = Path("models")
|
||||||
|
if not models_dir.exists():
|
||||||
|
return []
|
||||||
|
|
||||||
|
items = []
|
||||||
|
try:
|
||||||
|
for path in models_dir.iterdir():
|
||||||
|
if path.is_file() and path.suffix.lower() in (".pt", ".pth", ".yaml", ".yml"):
|
||||||
|
items.append({
|
||||||
|
"name": path.name,
|
||||||
|
"path": str(path.absolute()),
|
||||||
|
})
|
||||||
|
except Exception as e:
|
||||||
|
logger.error(f"Failed to list models: {e}")
|
||||||
|
|
||||||
|
return sorted(items, key=lambda x: x["name"])
|
||||||
|
|
||||||
|
|
||||||
|
@app.get("/api/sessions/{name}")
|
||||||
|
async def load_session(name: str):
|
||||||
|
sessions_dir = get_sessions_dir()
|
||||||
|
file_path = sessions_dir / f"{name}.json"
|
||||||
|
if not file_path.exists():
|
||||||
|
raise HTTPException(status_code=404, detail="Сессия не найдена.")
|
||||||
|
try:
|
||||||
|
with file_path.open("r", encoding="utf-8") as f:
|
||||||
|
return json.load(f)
|
||||||
|
except Exception as exc:
|
||||||
|
raise HTTPException(status_code=500, detail=f"Не удалось загрузить сессию: {exc}")
|
||||||
|
|
||||||
|
|
||||||
|
@app.post("/api/sessions/{name}")
|
||||||
|
async def save_session(name: str, config_data: dict[str, Any]):
|
||||||
|
sessions_dir = get_sessions_dir()
|
||||||
|
file_path = sessions_dir / f"{name}.json"
|
||||||
|
try:
|
||||||
|
with file_path.open("w", encoding="utf-8") as f:
|
||||||
|
json.dump(config_data, f, ensure_ascii=False, indent=2)
|
||||||
|
return {"message": "Сессия успешно сохранена."}
|
||||||
|
except Exception as exc:
|
||||||
|
raise HTTPException(status_code=500, detail=f"Не удалось сохранить сессию: {exc}")
|
||||||
|
|
||||||
|
|
||||||
|
@app.delete("/api/sessions/{name}")
|
||||||
|
async def delete_session(name: str):
|
||||||
|
sessions_dir = get_sessions_dir()
|
||||||
|
file_path = sessions_dir / f"{name}.json"
|
||||||
|
if not file_path.exists():
|
||||||
|
raise HTTPException(status_code=404, detail="Сессия не найдена.")
|
||||||
|
try:
|
||||||
|
file_path.unlink()
|
||||||
|
return {"message": "Сессия удалена."}
|
||||||
|
except Exception as exc:
|
||||||
|
raise HTTPException(status_code=500, detail=f"Не удалось удалить сессию: {exc}")
|
||||||
|
|
||||||
|
|
||||||
|
@app.get("/api/train/status")
|
||||||
|
async def get_status():
|
||||||
|
with manager._lock:
|
||||||
|
return {
|
||||||
|
"status": manager.state.status,
|
||||||
|
"epoch": manager.state.epoch,
|
||||||
|
"total_epochs": manager.state.total_epochs,
|
||||||
|
"output_dir": manager.state.output_dir,
|
||||||
|
"metrics": manager.state.metrics,
|
||||||
|
"logs": manager.state.logs,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
@app.post("/api/train/start")
|
||||||
|
async def start_training(config_data: dict[str, Any]):
|
||||||
|
try:
|
||||||
|
config = TrainingConfig.from_dict(config_data)
|
||||||
|
config.validate()
|
||||||
|
except ValueError as exc:
|
||||||
|
raise HTTPException(status_code=400, detail=str(exc))
|
||||||
|
except Exception as exc:
|
||||||
|
raise HTTPException(status_code=400, detail=f"Некорректная конфигурация: {exc}")
|
||||||
|
|
||||||
|
# Auto-save last configuration on start
|
||||||
|
try:
|
||||||
|
sessions_dir = get_sessions_dir()
|
||||||
|
last_run_path = sessions_dir / "last_run.json"
|
||||||
|
with last_run_path.open("w", encoding="utf-8") as f:
|
||||||
|
json.dump(config_data, f, ensure_ascii=False, indent=2)
|
||||||
|
except Exception as exc:
|
||||||
|
logger.error(f"Failed to auto-save last run: {exc}")
|
||||||
|
|
||||||
|
try:
|
||||||
|
manager.start_training(config)
|
||||||
|
return {"message": "Обучение запущено."}
|
||||||
|
except ValueError as exc:
|
||||||
|
raise HTTPException(status_code=400, detail=str(exc))
|
||||||
|
|
||||||
|
|
||||||
|
@app.post("/api/train/stop")
|
||||||
|
async def stop_training():
|
||||||
|
manager.stop_training()
|
||||||
|
return {"message": "Запрос на остановку отправлен."}
|
||||||
|
|
||||||
|
|
||||||
|
@app.websocket("/api/ws")
|
||||||
|
async def websocket_endpoint(websocket: WebSocket):
|
||||||
|
await websocket.accept()
|
||||||
|
manager.add_websocket(websocket)
|
||||||
|
|
||||||
|
# Send current state upon connection
|
||||||
|
with manager._lock:
|
||||||
|
state_dict = {
|
||||||
|
"type": "init",
|
||||||
|
"status": manager.state.status,
|
||||||
|
"epoch": manager.state.epoch,
|
||||||
|
"total_epochs": manager.state.total_epochs,
|
||||||
|
"output_dir": manager.state.output_dir,
|
||||||
|
"metrics": manager.state.metrics,
|
||||||
|
# We format log items for the UI
|
||||||
|
"logs": [log.split(":", 1) for log in manager.state.logs if ":" in log],
|
||||||
|
}
|
||||||
|
await websocket.send_text(json.dumps(state_dict))
|
||||||
|
|
||||||
|
try:
|
||||||
|
while True:
|
||||||
|
# Keep connection alive; discard incoming messages
|
||||||
|
await websocket.receive_text()
|
||||||
|
except WebSocketDisconnect:
|
||||||
|
manager.remove_websocket(websocket)
|
||||||
|
except Exception:
|
||||||
|
manager.remove_websocket(websocket)
|
||||||
|
|
||||||
|
|
||||||
|
def main() -> None:
|
||||||
|
parser = argparse.ArgumentParser(description="YOLO Train Studio Web UI")
|
||||||
|
parser.add_argument("--host", default="127.0.0.1", help="Host address to bind to")
|
||||||
|
parser.add_argument("--port", type=int, default=8000, help="Port to bind to")
|
||||||
|
args = parser.parse_args()
|
||||||
|
|
||||||
|
# Headless matplotlib
|
||||||
|
os.environ["MPLBACKEND"] = "Agg"
|
||||||
|
|
||||||
|
logger.info(f"Starting server on http://{args.host}:{args.port}")
|
||||||
|
uvicorn.run(app, host=args.host, port=args.port)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
|
|
@ -111,7 +111,7 @@ class AugmentationConfig:
|
||||||
class MlflowConfig:
|
class MlflowConfig:
|
||||||
enabled: bool = True
|
enabled: bool = True
|
||||||
tracking_uri: str = "sqlite:///mlflow.db"
|
tracking_uri: str = "sqlite:///mlflow.db"
|
||||||
experiment_name: str = "yolo-tui"
|
experiment_name: str = "yolo-webui"
|
||||||
run_name: str = ""
|
run_name: str = ""
|
||||||
|
|
||||||
def validate(self) -> None:
|
def validate(self) -> None:
|
||||||
|
|
@ -186,9 +186,8 @@ class TrainingConfig:
|
||||||
"workers": self.workers,
|
"workers": self.workers,
|
||||||
"patience": self.patience,
|
"patience": self.patience,
|
||||||
"project": self.project.strip() or "runs/train",
|
"project": self.project.strip() or "runs/train",
|
||||||
# Ultralytics' tqdm output would otherwise paint over Textual's screen.
|
# Enable verbose output so users see active progress and losses in the log console.
|
||||||
# Epoch metrics are sent to the in-app log by callbacks instead.
|
"verbose": True,
|
||||||
"verbose": False,
|
|
||||||
}
|
}
|
||||||
if self.device.strip():
|
if self.device.strip():
|
||||||
values["device"] = self.device.strip()
|
values["device"] = self.device.strip()
|
||||||
|
|
@ -197,6 +196,16 @@ class TrainingConfig:
|
||||||
values.update(self.augmentation.train_kwargs())
|
values.update(self.augmentation.train_kwargs())
|
||||||
return values
|
return values
|
||||||
|
|
||||||
|
@property
|
||||||
|
def resolved_model(self) -> str:
|
||||||
|
from pathlib import Path
|
||||||
|
model_path = self.model.strip()
|
||||||
|
if "/" not in model_path and "\\" not in model_path:
|
||||||
|
# Ensure models directory exists inside workspace
|
||||||
|
Path("models").mkdir(parents=True, exist_ok=True)
|
||||||
|
return f"models/{model_path}"
|
||||||
|
return model_path
|
||||||
|
|
||||||
def to_dict(self) -> dict[str, Any]:
|
def to_dict(self) -> dict[str, Any]:
|
||||||
import dataclasses
|
import dataclasses
|
||||||
return dataclasses.asdict(self)
|
return dataclasses.asdict(self)
|
||||||
|
|
@ -193,7 +193,7 @@ def split_dataset(
|
||||||
# Resolve classes before creating output so invalid input leaves no partial split.
|
# Resolve classes before creating output so invalid input leaves no partial split.
|
||||||
classes = read_classes(base_dir, classes_path)
|
classes = read_classes(base_dir, classes_path)
|
||||||
|
|
||||||
relative_split_dir = Path(".yolo-tui") / "splits" / uuid4().hex
|
relative_split_dir = Path(".yolo-webui") / "splits" / uuid4().hex
|
||||||
split_dir = base_dir / relative_split_dir
|
split_dir = base_dir / relative_split_dir
|
||||||
split_dir.mkdir(parents=True, exist_ok=False)
|
split_dir.mkdir(parents=True, exist_ok=False)
|
||||||
|
|
||||||
|
|
@ -204,12 +204,44 @@ def split_dataset(
|
||||||
_write_new(train_txt_path, "".join(f"{image}\n" for image in train_images))
|
_write_new(train_txt_path, "".join(f"{image}\n" for image in train_images))
|
||||||
_write_new(val_txt_path, "".join(f"{image}\n" for image in val_images))
|
_write_new(val_txt_path, "".join(f"{image}\n" for image in val_images))
|
||||||
|
|
||||||
dataset_data = {
|
# Read existing dataset YAML if available to preserve custom tags (e.g., kpt_shape)
|
||||||
|
existing_data = {}
|
||||||
|
if classes_path.strip():
|
||||||
|
cp = Path(classes_path.strip()).expanduser()
|
||||||
|
if cp.is_file() and cp.suffix.lower() in (".yaml", ".yml"):
|
||||||
|
try:
|
||||||
|
existing_data = _load_yaml(cp) or {}
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
|
||||||
|
if not existing_data:
|
||||||
|
yaml_files = sorted(
|
||||||
|
(*base_dir.glob("*.yaml"), *base_dir.glob("*.yml")),
|
||||||
|
key=lambda item: item.name,
|
||||||
|
)
|
||||||
|
for yf in yaml_files:
|
||||||
|
try:
|
||||||
|
data = _load_yaml(yf)
|
||||||
|
if isinstance(data, dict):
|
||||||
|
existing_data = data
|
||||||
|
break
|
||||||
|
except Exception:
|
||||||
|
continue
|
||||||
|
|
||||||
|
# Build dataset metadata, merging existing keys
|
||||||
|
dataset_data = {}
|
||||||
|
if isinstance(existing_data, dict):
|
||||||
|
dataset_data.update(existing_data)
|
||||||
|
|
||||||
|
dataset_data.update({
|
||||||
"path": str(base_dir),
|
"path": str(base_dir),
|
||||||
"train": (relative_split_dir / train_txt_path.name).as_posix(),
|
"train": (relative_split_dir / train_txt_path.name).as_posix(),
|
||||||
"val": (relative_split_dir / val_txt_path.name).as_posix(),
|
"val": (relative_split_dir / val_txt_path.name).as_posix(),
|
||||||
"names": classes,
|
})
|
||||||
}
|
|
||||||
|
if "names" not in dataset_data:
|
||||||
|
dataset_data["names"] = classes
|
||||||
|
|
||||||
_write_new(
|
_write_new(
|
||||||
dataset_yaml_path,
|
dataset_yaml_path,
|
||||||
yaml.safe_dump(dataset_data, allow_unicode=True, sort_keys=False),
|
yaml.safe_dump(dataset_data, allow_unicode=True, sort_keys=False),
|
||||||
918
src/yolo_webui/static/app.js
Normal file
918
src/yolo_webui/static/app.js
Normal file
|
|
@ -0,0 +1,918 @@
|
||||||
|
document.addEventListener('DOMContentLoaded', () => {
|
||||||
|
// DOM Elements
|
||||||
|
const tabs = document.querySelectorAll('.tab-btn');
|
||||||
|
const tabContents = document.querySelectorAll('.tab-content');
|
||||||
|
const configForm = document.getElementById('config-form');
|
||||||
|
|
||||||
|
// Toggles and fields
|
||||||
|
const splitEnabled = document.getElementById('split-enabled');
|
||||||
|
const splitRatio = document.getElementById('split-ratio');
|
||||||
|
const splitClasses = document.getElementById('split-classes');
|
||||||
|
|
||||||
|
// Dataset selectors
|
||||||
|
const datasetSelect = document.getElementById('dataset-select');
|
||||||
|
const datasetCustomWrapper = document.getElementById('dataset-custom-wrapper');
|
||||||
|
|
||||||
|
// Model selectors
|
||||||
|
const modelSelect = document.getElementById('model-select');
|
||||||
|
const modelCustomWrapper = document.getElementById('model-custom-wrapper');
|
||||||
|
|
||||||
|
const augmentationEnabled = document.getElementById('augmentation-enabled');
|
||||||
|
const augmentationInputs = document.querySelectorAll('.augmentation-fields input, .augmentation-fields select');
|
||||||
|
|
||||||
|
const mlflowEnabled = document.getElementById('mlflow-enabled');
|
||||||
|
const mlflowInputs = document.querySelectorAll('.mlflow-fields input');
|
||||||
|
const trackingUriInput = document.getElementById('tracking-uri');
|
||||||
|
const mlflowHeaderLink = document.getElementById('mlflow-header-link');
|
||||||
|
|
||||||
|
// --- Dynamic Model Selection ---
|
||||||
|
const standardModels = {
|
||||||
|
detect: ['yolo11n.pt', 'yolo11s.pt', 'yolo11m.pt', 'yolo11l.pt', 'yolo11x.pt'],
|
||||||
|
segment: ['yolo11n-seg.pt', 'yolo11s-seg.pt', 'yolo11m-seg.pt', 'yolo11l-seg.pt', 'yolo11x-seg.pt'],
|
||||||
|
classify: ['yolo11n-cls.pt', 'yolo11s-cls.pt', 'yolo11m-cls.pt', 'yolo11l-cls.pt', 'yolo11x-cls.pt'],
|
||||||
|
pose: ['yolo11n-pose.pt', 'yolo11s-pose.pt', 'yolo11m-pose.pt', 'yolo11l-pose.pt', 'yolo11x-pose.pt'],
|
||||||
|
obb: ['yolo11n-obb.pt', 'yolo11s-obb.pt', 'yolo11m-obb.pt', 'yolo11l-obb.pt', 'yolo11x-obb.pt']
|
||||||
|
};
|
||||||
|
let discoveredModels = [];
|
||||||
|
|
||||||
|
function updateModelOptions() {
|
||||||
|
const task = taskSelect.value;
|
||||||
|
const stdModels = standardModels[task] || [];
|
||||||
|
const currentSelectVal = modelSelect.value;
|
||||||
|
|
||||||
|
modelSelect.innerHTML = '';
|
||||||
|
|
||||||
|
// Group 1: Standard Models
|
||||||
|
const stdGroup = document.createElement('optgroup');
|
||||||
|
stdGroup.label = 'Стандартные модели';
|
||||||
|
stdModels.forEach(model => {
|
||||||
|
const opt = document.createElement('option');
|
||||||
|
opt.value = model;
|
||||||
|
opt.textContent = model;
|
||||||
|
stdGroup.appendChild(opt);
|
||||||
|
});
|
||||||
|
modelSelect.appendChild(stdGroup);
|
||||||
|
|
||||||
|
// Group 2: Discovered Models
|
||||||
|
const localModels = discoveredModels.filter(m => !stdModels.includes(m.name));
|
||||||
|
if (localModels.length > 0) {
|
||||||
|
const localGroup = document.createElement('optgroup');
|
||||||
|
localGroup.label = 'Локальные/скачанные модели';
|
||||||
|
localModels.forEach(m => {
|
||||||
|
const opt = document.createElement('option');
|
||||||
|
opt.value = m.name;
|
||||||
|
opt.textContent = m.name;
|
||||||
|
localGroup.appendChild(opt);
|
||||||
|
});
|
||||||
|
modelSelect.appendChild(localGroup);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Custom Option
|
||||||
|
const customOpt = document.createElement('option');
|
||||||
|
customOpt.value = '__custom__';
|
||||||
|
customOpt.textContent = 'Указать модель вручную...';
|
||||||
|
modelSelect.appendChild(customOpt);
|
||||||
|
|
||||||
|
// Match selection if valid
|
||||||
|
const allAvailable = [...stdModels, ...localModels.map(m => m.name)];
|
||||||
|
if (allAvailable.includes(currentSelectVal)) {
|
||||||
|
modelSelect.value = currentSelectVal;
|
||||||
|
} else {
|
||||||
|
modelSelect.value = stdModels[0] || '__custom__';
|
||||||
|
}
|
||||||
|
|
||||||
|
updateModelFieldsState();
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateModelFieldsState() {
|
||||||
|
const val = modelSelect.value;
|
||||||
|
const modelInput = document.getElementById('model');
|
||||||
|
if (val === '__custom__') {
|
||||||
|
modelCustomWrapper.style.display = 'block';
|
||||||
|
} else {
|
||||||
|
modelCustomWrapper.style.display = 'none';
|
||||||
|
modelInput.value = val;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
const taskSelect = document.getElementById('task');
|
||||||
|
|
||||||
|
// Session Controls
|
||||||
|
const sessionSelect = document.getElementById('session-select');
|
||||||
|
const sessionNameInput = document.getElementById('session-name');
|
||||||
|
const sessionSaveBtn = document.getElementById('session-save-btn');
|
||||||
|
const sessionDeleteBtn = document.getElementById('session-delete-btn');
|
||||||
|
|
||||||
|
// Control elements
|
||||||
|
const startBtn = document.getElementById('start-btn');
|
||||||
|
const stopBtn = document.getElementById('stop-btn');
|
||||||
|
|
||||||
|
// Status elements
|
||||||
|
const statusCard = document.getElementById('status-card');
|
||||||
|
const statusTitle = document.getElementById('status-title');
|
||||||
|
const statusText = document.getElementById('status-text');
|
||||||
|
const statusTimer = document.getElementById('status-timer');
|
||||||
|
const progressBarFill = document.getElementById('progress-bar-fill');
|
||||||
|
const progressText = document.getElementById('progress-text');
|
||||||
|
const progressEta = document.getElementById('progress-eta');
|
||||||
|
|
||||||
|
// Logs
|
||||||
|
const logContainer = document.getElementById('log-container');
|
||||||
|
const autoscrollCheck = document.getElementById('autoscroll');
|
||||||
|
const clearLogBtn = document.getElementById('clear-log-btn');
|
||||||
|
|
||||||
|
// Chart
|
||||||
|
const ctx = document.getElementById('metricsChart').getContext('2d');
|
||||||
|
let metricsChart = null;
|
||||||
|
|
||||||
|
// State variables
|
||||||
|
let trainingTimer = null;
|
||||||
|
let secondsElapsed = 0;
|
||||||
|
let socket = null;
|
||||||
|
let isTrainingActive = false;
|
||||||
|
|
||||||
|
// --- Tab Switching ---
|
||||||
|
tabs.forEach(tab => {
|
||||||
|
tab.addEventListener('click', () => {
|
||||||
|
tabs.forEach(t => t.classList.remove('active'));
|
||||||
|
tabContents.forEach(c => c.classList.remove('active'));
|
||||||
|
|
||||||
|
tab.classList.add('active');
|
||||||
|
const contentId = `tab-${tab.dataset.tab}`;
|
||||||
|
document.getElementById(contentId).classList.add('active');
|
||||||
|
|
||||||
|
localStorage.setItem('active_tab', tab.dataset.tab);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
// Restore active tab on load
|
||||||
|
const savedTab = localStorage.getItem('active_tab');
|
||||||
|
if (savedTab) {
|
||||||
|
const tabBtn = Array.from(tabs).find(t => t.dataset.tab === savedTab);
|
||||||
|
if (tabBtn) {
|
||||||
|
tabBtn.click();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// --- Toggles & Constraints ---
|
||||||
|
function updateSplitFields() {
|
||||||
|
const isClassify = taskSelect.value === 'classify';
|
||||||
|
if (isClassify && splitEnabled.checked) {
|
||||||
|
splitEnabled.checked = false;
|
||||||
|
showNotification('Для classify укажите готовый каталог с train/val по классам.', 'warning');
|
||||||
|
}
|
||||||
|
splitEnabled.disabled = isClassify;
|
||||||
|
|
||||||
|
const disabled = !splitEnabled.checked || isClassify;
|
||||||
|
splitRatio.disabled = disabled;
|
||||||
|
splitClasses.disabled = disabled;
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateAugmentationFields() {
|
||||||
|
const disabled = !augmentationEnabled.checked;
|
||||||
|
augmentationInputs.forEach(input => {
|
||||||
|
input.disabled = disabled;
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateMlflowFields() {
|
||||||
|
const disabled = !mlflowEnabled.checked;
|
||||||
|
mlflowInputs.forEach(input => {
|
||||||
|
input.disabled = disabled;
|
||||||
|
});
|
||||||
|
updateMlflowHeaderLink();
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateMlflowHeaderLink() {
|
||||||
|
const uri = trackingUriInput.value.trim();
|
||||||
|
if (uri.startsWith('http://') || uri.startsWith('https://')) {
|
||||||
|
mlflowHeaderLink.href = uri;
|
||||||
|
mlflowHeaderLink.style.opacity = '1';
|
||||||
|
mlflowHeaderLink.style.pointerEvents = 'auto';
|
||||||
|
} else {
|
||||||
|
mlflowHeaderLink.href = 'http://localhost:5000';
|
||||||
|
mlflowHeaderLink.style.opacity = '0.5';
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
trackingUriInput.addEventListener('input', updateMlflowHeaderLink);
|
||||||
|
|
||||||
|
splitEnabled.addEventListener('change', updateSplitFields);
|
||||||
|
taskSelect.addEventListener('change', () => {
|
||||||
|
updateSplitFields();
|
||||||
|
updateModelOptions();
|
||||||
|
});
|
||||||
|
augmentationEnabled.addEventListener('change', updateAugmentationFields);
|
||||||
|
mlflowEnabled.addEventListener('change', updateMlflowFields);
|
||||||
|
|
||||||
|
// --- Logger ---
|
||||||
|
function addLogLine(message, level = 'info') {
|
||||||
|
const line = document.createElement('div');
|
||||||
|
line.className = `log-line log-level-${level.toLowerCase()}`;
|
||||||
|
line.textContent = message;
|
||||||
|
logContainer.appendChild(line);
|
||||||
|
|
||||||
|
if (autoscrollCheck.checked) {
|
||||||
|
logContainer.scrollTop = logContainer.scrollHeight;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
clearLogBtn.addEventListener('click', () => {
|
||||||
|
logContainer.innerHTML = '';
|
||||||
|
});
|
||||||
|
|
||||||
|
// --- Chart.js Integration ---
|
||||||
|
function initChart(datasets = []) {
|
||||||
|
if (metricsChart) {
|
||||||
|
metricsChart.destroy();
|
||||||
|
}
|
||||||
|
|
||||||
|
metricsChart = new Chart(ctx, {
|
||||||
|
type: 'line',
|
||||||
|
data: {
|
||||||
|
labels: [],
|
||||||
|
datasets: datasets
|
||||||
|
},
|
||||||
|
options: {
|
||||||
|
responsive: true,
|
||||||
|
maintainAspectRatio: false,
|
||||||
|
scales: {
|
||||||
|
x: {
|
||||||
|
title: { display: true, text: 'Эпоха', color: '#a1a1aa' },
|
||||||
|
grid: { color: '#27272a' },
|
||||||
|
ticks: { color: '#a1a1aa' }
|
||||||
|
},
|
||||||
|
y: {
|
||||||
|
title: { display: true, text: 'Значение', color: '#a1a1aa' },
|
||||||
|
grid: { color: '#27272a' },
|
||||||
|
ticks: { color: '#a1a1aa' }
|
||||||
|
}
|
||||||
|
},
|
||||||
|
plugins: {
|
||||||
|
legend: {
|
||||||
|
labels: { color: '#f4f4f5', font: { family: 'Outfit' } }
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateChart(epoch, metrics) {
|
||||||
|
if (!metricsChart) {
|
||||||
|
// Generate datasets based on keys in metrics (excluding epoch)
|
||||||
|
const datasets = [];
|
||||||
|
const colors = ['#f97316', '#10b981', '#3b82f6', '#eab308', '#a855f7'];
|
||||||
|
let colorIdx = 0;
|
||||||
|
|
||||||
|
for (const key in metrics) {
|
||||||
|
if (key !== 'epoch') {
|
||||||
|
datasets.push({
|
||||||
|
label: key,
|
||||||
|
data: [],
|
||||||
|
borderColor: colors[colorIdx % colors.length],
|
||||||
|
backgroundColor: colors[colorIdx % colors.length] + '22',
|
||||||
|
tension: 0.15,
|
||||||
|
fill: false
|
||||||
|
});
|
||||||
|
colorIdx++;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
initChart(datasets);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Add label if not present
|
||||||
|
if (!metricsChart.data.labels.includes(epoch)) {
|
||||||
|
metricsChart.data.labels.push(epoch);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Push data to correct dataset
|
||||||
|
metricsChart.data.datasets.forEach(dataset => {
|
||||||
|
const val = metrics[dataset.label];
|
||||||
|
if (val !== undefined) {
|
||||||
|
dataset.data.push(val);
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
metricsChart.update();
|
||||||
|
}
|
||||||
|
|
||||||
|
// --- Timer UI ---
|
||||||
|
function startTimer() {
|
||||||
|
stopTimer();
|
||||||
|
secondsElapsed = 0;
|
||||||
|
trainingTimer = setInterval(() => {
|
||||||
|
secondsElapsed++;
|
||||||
|
const h = String(Math.floor(secondsElapsed / 3600)).padStart(2, '0');
|
||||||
|
const m = String(Math.floor((secondsElapsed % 3600) / 60)).padStart(2, '0');
|
||||||
|
const s = String(secondsElapsed % 60).padStart(2, '0');
|
||||||
|
statusTimer.textContent = `${h}:${m}:${s}`;
|
||||||
|
}, 1000);
|
||||||
|
}
|
||||||
|
|
||||||
|
function stopTimer() {
|
||||||
|
if (trainingTimer) {
|
||||||
|
clearInterval(trainingTimer);
|
||||||
|
trainingTimer = null;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// --- WebSocket Sync ---
|
||||||
|
function connectWebSocket() {
|
||||||
|
const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';
|
||||||
|
const wsUrl = `${protocol}//${window.location.host}/api/ws`;
|
||||||
|
|
||||||
|
socket = new WebSocket(wsUrl);
|
||||||
|
|
||||||
|
socket.onopen = () => {
|
||||||
|
addLogLine('Соединение с сервером установлено.', 'info');
|
||||||
|
};
|
||||||
|
|
||||||
|
socket.onclose = () => {
|
||||||
|
addLogLine('Соединение потеряно. Повторная попытка через 5 секунд...', 'warning');
|
||||||
|
setTimeout(connectWebSocket, 5000);
|
||||||
|
};
|
||||||
|
|
||||||
|
socket.onerror = (err) => {
|
||||||
|
console.error('WS Error:', err);
|
||||||
|
};
|
||||||
|
|
||||||
|
socket.onmessage = (event) => {
|
||||||
|
const data = JSON.parse(event.data);
|
||||||
|
|
||||||
|
if (data.type === 'init') {
|
||||||
|
updateUIStatus(data.status);
|
||||||
|
|
||||||
|
// Load logs
|
||||||
|
logContainer.innerHTML = '';
|
||||||
|
data.logs.forEach(([levelCode, msg]) => {
|
||||||
|
const level = levelCode.replace('__LOG_LEVEL_', '').replace('__', '').toLowerCase();
|
||||||
|
addLogLine(msg, level);
|
||||||
|
});
|
||||||
|
|
||||||
|
// Draw initial chart points
|
||||||
|
initChart();
|
||||||
|
if (data.metrics && data.metrics.length > 0) {
|
||||||
|
data.metrics.forEach(m => {
|
||||||
|
updateChart(m.epoch, m);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
// Sync progress
|
||||||
|
if (data.status === 'training' || data.status === 'stopping') {
|
||||||
|
updateProgress(data.epoch, data.total_epochs);
|
||||||
|
}
|
||||||
|
} else if (data.type === 'status') {
|
||||||
|
updateUIStatus(data.status);
|
||||||
|
if (data.output_dir) {
|
||||||
|
addLogLine(`Результаты сохранены: ${data.output_dir}`, 'success');
|
||||||
|
}
|
||||||
|
} else if (data.type === 'log') {
|
||||||
|
const autoscrollCheck = document.getElementById('autoscroll');
|
||||||
|
if (data.level === 'progress') {
|
||||||
|
let lastLine = logContainer.lastElementChild;
|
||||||
|
if (lastLine && lastLine.classList.contains('log-line-progress')) {
|
||||||
|
lastLine.textContent = data.message;
|
||||||
|
} else {
|
||||||
|
const line = document.createElement('div');
|
||||||
|
line.className = 'log-line log-line-progress log-level-info';
|
||||||
|
line.textContent = data.message;
|
||||||
|
logContainer.appendChild(line);
|
||||||
|
}
|
||||||
|
} else {
|
||||||
|
let lastLine = logContainer.lastElementChild;
|
||||||
|
if (lastLine && lastLine.classList.contains('log-line-progress')) {
|
||||||
|
lastLine.classList.remove('log-line-progress');
|
||||||
|
}
|
||||||
|
addLogLine(data.message, data.level);
|
||||||
|
}
|
||||||
|
if (autoscrollCheck && autoscrollCheck.checked) {
|
||||||
|
logContainer.scrollTop = logContainer.scrollHeight;
|
||||||
|
}
|
||||||
|
} else if (data.type === 'progress') {
|
||||||
|
updateProgress(data.epoch, data.total_epochs, data.message);
|
||||||
|
if (data.metrics) {
|
||||||
|
updateChart(data.epoch, data.metrics);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateUIStatus(status) {
|
||||||
|
statusCard.className = `status-${status}`;
|
||||||
|
|
||||||
|
switch (status) {
|
||||||
|
case 'idle':
|
||||||
|
statusTitle.textContent = 'ГОТОВО К ЗАПУСКУ';
|
||||||
|
statusText.textContent = 'Проверьте параметры и начните обучение.';
|
||||||
|
isTrainingActive = false;
|
||||||
|
startBtn.disabled = false;
|
||||||
|
stopBtn.disabled = true;
|
||||||
|
stopTimer();
|
||||||
|
break;
|
||||||
|
case 'preparing':
|
||||||
|
statusTitle.textContent = 'ПОДГОТОВКА';
|
||||||
|
statusText.textContent = 'Загрузка модели, разметки и настройка окружения...';
|
||||||
|
isTrainingActive = true;
|
||||||
|
startBtn.disabled = true;
|
||||||
|
stopBtn.disabled = false;
|
||||||
|
startTimer();
|
||||||
|
initChart();
|
||||||
|
break;
|
||||||
|
case 'training':
|
||||||
|
statusTitle.textContent = 'ОБУЧЕНИЕ';
|
||||||
|
isTrainingActive = true;
|
||||||
|
startBtn.disabled = true;
|
||||||
|
stopBtn.disabled = false;
|
||||||
|
if (!trainingTimer) startTimer();
|
||||||
|
break;
|
||||||
|
case 'stopping':
|
||||||
|
statusTitle.textContent = 'ОСТАНОВКА';
|
||||||
|
statusText.textContent = 'Остановка процессов обучения. Дождитесь закрытия...';
|
||||||
|
isTrainingActive = true;
|
||||||
|
startBtn.disabled = true;
|
||||||
|
stopBtn.disabled = true;
|
||||||
|
break;
|
||||||
|
case 'finished':
|
||||||
|
statusTitle.textContent = 'ГОТОВО';
|
||||||
|
statusText.textContent = 'Обучение успешно завершено.';
|
||||||
|
isTrainingActive = false;
|
||||||
|
startBtn.disabled = false;
|
||||||
|
stopBtn.disabled = true;
|
||||||
|
stopTimer();
|
||||||
|
break;
|
||||||
|
case 'failed':
|
||||||
|
statusTitle.textContent = 'ОШИБКА';
|
||||||
|
statusText.textContent = 'Процесс завершился с ошибкой. Проверьте логи.';
|
||||||
|
isTrainingActive = false;
|
||||||
|
startBtn.disabled = false;
|
||||||
|
stopBtn.disabled = true;
|
||||||
|
stopTimer();
|
||||||
|
break;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateProgress(epoch, total, message = '') {
|
||||||
|
const percent = total > 0 ? (epoch / total) * 100 : 0;
|
||||||
|
progressBarFill.style.width = `${percent}%`;
|
||||||
|
progressText.textContent = `Эпохи: ${epoch} / ${total}`;
|
||||||
|
|
||||||
|
if (message) {
|
||||||
|
statusText.textContent = message;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// --- Read/Write Configurations ---
|
||||||
|
function getFormConfig() {
|
||||||
|
return {
|
||||||
|
dataset: document.getElementById('dataset').value.trim(),
|
||||||
|
model: document.getElementById('model').value.trim(),
|
||||||
|
task: taskSelect.value,
|
||||||
|
epochs: parseInt(document.getElementById('epochs').value) || 100,
|
||||||
|
image_size: parseInt(document.getElementById('image-size').value) || 640,
|
||||||
|
batch_size: parseInt(document.getElementById('batch-size').value) || 16,
|
||||||
|
device: document.getElementById('device').value.trim(),
|
||||||
|
workers: parseInt(document.getElementById('workers').value) || 8,
|
||||||
|
patience: parseInt(document.getElementById('patience').value) || 100,
|
||||||
|
project: document.getElementById('project').value.trim() || 'runs/train',
|
||||||
|
run_name: document.getElementById('run-name').value.trim(),
|
||||||
|
split: {
|
||||||
|
enabled: splitEnabled.checked,
|
||||||
|
train_ratio: parseFloat(splitRatio.value) || 0.8,
|
||||||
|
classes_path: splitClasses.value.trim()
|
||||||
|
},
|
||||||
|
augmentation: {
|
||||||
|
enabled: augmentationEnabled.checked,
|
||||||
|
hsv_h: parseFloat(document.getElementById('hsv-h').value) || 0,
|
||||||
|
hsv_s: parseFloat(document.getElementById('hsv-s').value) || 0,
|
||||||
|
hsv_v: parseFloat(document.getElementById('hsv-v').value) || 0,
|
||||||
|
degrees: parseFloat(document.getElementById('degrees').value) || 0,
|
||||||
|
translate: parseFloat(document.getElementById('translate').value) || 0,
|
||||||
|
scale: parseFloat(document.getElementById('scale').value) || 0,
|
||||||
|
shear: parseFloat(document.getElementById('shear').value) || 0,
|
||||||
|
perspective: parseFloat(document.getElementById('perspective').value) || 0,
|
||||||
|
close_mosaic: parseInt(document.getElementById('close-mosaic').value) || 10,
|
||||||
|
flipud: parseFloat(document.getElementById('flipud').value) || 0,
|
||||||
|
fliplr: parseFloat(document.getElementById('fliplr').value) || 0,
|
||||||
|
bgr: parseFloat(document.getElementById('bgr').value) || 0,
|
||||||
|
mosaic: parseFloat(document.getElementById('mosaic').value) || 0,
|
||||||
|
mixup: parseFloat(document.getElementById('mixup').value) || 0,
|
||||||
|
cutmix: parseFloat(document.getElementById('cutmix').value) || 0,
|
||||||
|
copy_paste: parseFloat(document.getElementById('copy-paste').value) || 0,
|
||||||
|
erasing: parseFloat(document.getElementById('erasing').value) || 0,
|
||||||
|
copy_paste_mode: document.getElementById('copy-paste-mode').value,
|
||||||
|
auto_augment: document.getElementById('auto-augment').value
|
||||||
|
},
|
||||||
|
mlflow: {
|
||||||
|
enabled: mlflowEnabled.checked,
|
||||||
|
tracking_uri: document.getElementById('tracking-uri').value.trim(),
|
||||||
|
experiment_name: document.getElementById('experiment-name').value.trim(),
|
||||||
|
run_name: document.getElementById('mlflow-run-name').value.trim()
|
||||||
|
}
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
function applyConfig(data) {
|
||||||
|
taskSelect.value = data.task || 'detect';
|
||||||
|
updateModelOptions();
|
||||||
|
|
||||||
|
const modelVal = data.model || 'yolo11n.pt';
|
||||||
|
const task = data.task || 'detect';
|
||||||
|
const stdModels = standardModels[task] || [];
|
||||||
|
const allAvailable = [...stdModels, ...discoveredModels.map(m => m.name)];
|
||||||
|
if (allAvailable.includes(modelVal)) {
|
||||||
|
modelSelect.value = modelVal;
|
||||||
|
modelCustomWrapper.style.display = 'none';
|
||||||
|
document.getElementById('model').value = modelVal;
|
||||||
|
} else {
|
||||||
|
modelSelect.value = '__custom__';
|
||||||
|
modelCustomWrapper.style.display = 'block';
|
||||||
|
document.getElementById('model').value = modelVal;
|
||||||
|
}
|
||||||
|
|
||||||
|
const matchedDataset = discoveredDatasets.find(d => d.path === data.dataset);
|
||||||
|
if (matchedDataset) {
|
||||||
|
datasetSelect.value = data.dataset;
|
||||||
|
datasetCustomWrapper.style.display = 'none';
|
||||||
|
document.getElementById('dataset').value = data.dataset;
|
||||||
|
} else {
|
||||||
|
datasetSelect.value = '__custom__';
|
||||||
|
datasetCustomWrapper.style.display = 'block';
|
||||||
|
document.getElementById('dataset').value = data.dataset || '';
|
||||||
|
}
|
||||||
|
|
||||||
|
// Split
|
||||||
|
splitEnabled.checked = data.split?.enabled || false;
|
||||||
|
splitRatio.value = data.split?.train_ratio || 0.8;
|
||||||
|
splitClasses.value = data.split?.classes_path || '';
|
||||||
|
|
||||||
|
// Training params
|
||||||
|
document.getElementById('epochs').value = data.epochs || 100;
|
||||||
|
document.getElementById('image-size').value = data.image_size || 640;
|
||||||
|
document.getElementById('batch-size').value = data.batch_size || 16;
|
||||||
|
document.getElementById('device').value = data.device || '';
|
||||||
|
document.getElementById('workers').value = data.workers || 8;
|
||||||
|
document.getElementById('patience').value = data.patience || 100;
|
||||||
|
document.getElementById('project').value = data.project || 'runs/train';
|
||||||
|
document.getElementById('run-name').value = data.run_name || '';
|
||||||
|
|
||||||
|
// Augmentation
|
||||||
|
augmentationEnabled.checked = data.augmentation?.enabled !== false;
|
||||||
|
if (data.augmentation) {
|
||||||
|
document.getElementById('hsv-h').value = data.augmentation.hsv_h ?? 0.015;
|
||||||
|
document.getElementById('hsv-s').value = data.augmentation.hsv_s ?? 0.7;
|
||||||
|
document.getElementById('hsv-v').value = data.augmentation.hsv_v ?? 0.4;
|
||||||
|
document.getElementById('degrees').value = data.augmentation.degrees ?? 0.0;
|
||||||
|
document.getElementById('translate').value = data.augmentation.translate ?? 0.1;
|
||||||
|
document.getElementById('scale').value = data.augmentation.scale ?? 0.5;
|
||||||
|
document.getElementById('shear').value = data.augmentation.shear ?? 0.0;
|
||||||
|
document.getElementById('perspective').value = data.augmentation.perspective ?? 0.0;
|
||||||
|
document.getElementById('close-mosaic').value = data.augmentation.close_mosaic ?? 10;
|
||||||
|
document.getElementById('flipud').value = data.augmentation.flipud ?? 0.0;
|
||||||
|
document.getElementById('fliplr').value = data.augmentation.fliplr ?? 0.5;
|
||||||
|
document.getElementById('bgr').value = data.augmentation.bgr ?? 0.0;
|
||||||
|
document.getElementById('mosaic').value = data.augmentation.mosaic ?? 1.0;
|
||||||
|
document.getElementById('mixup').value = data.augmentation.mixup ?? 0.0;
|
||||||
|
document.getElementById('cutmix').value = data.augmentation.cutmix ?? 0.0;
|
||||||
|
document.getElementById('copy-paste').value = data.augmentation.copy_paste ?? 0.0;
|
||||||
|
document.getElementById('erasing').value = data.augmentation.erasing ?? 0.4;
|
||||||
|
document.getElementById('copy-paste-mode').value = data.augmentation.copy_paste_mode || 'flip';
|
||||||
|
document.getElementById('auto-augment').value = data.augmentation.auto_augment || 'randaugment';
|
||||||
|
}
|
||||||
|
|
||||||
|
// MLflow
|
||||||
|
mlflowEnabled.checked = data.mlflow?.enabled !== false;
|
||||||
|
if (data.mlflow) {
|
||||||
|
document.getElementById('tracking-uri').value = data.mlflow.tracking_uri || 'sqlite:///mlflow.db';
|
||||||
|
document.getElementById('experiment-name').value = data.mlflow.experiment_name || 'yolo-webui';
|
||||||
|
document.getElementById('mlflow-run-name').value = data.mlflow.run_name || '';
|
||||||
|
}
|
||||||
|
|
||||||
|
// Sync disables
|
||||||
|
updateSplitFields();
|
||||||
|
updateAugmentationFields();
|
||||||
|
updateMlflowFields();
|
||||||
|
}
|
||||||
|
|
||||||
|
// --- Load Configuration (Last Run or Defaults) ---
|
||||||
|
async function loadInitialConfig() {
|
||||||
|
// 1. Try loading draft configuration from localStorage
|
||||||
|
const draft = localStorage.getItem('draft_config');
|
||||||
|
if (draft) {
|
||||||
|
try {
|
||||||
|
const data = JSON.parse(draft);
|
||||||
|
applyConfig(data);
|
||||||
|
addLogLine('Восстановлены последние измененные параметры.', 'info');
|
||||||
|
return;
|
||||||
|
} catch (e) {
|
||||||
|
// Ignore and fall back
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// 2. First check if last_run exists
|
||||||
|
try {
|
||||||
|
const lastRes = await fetch('/api/sessions/last_run');
|
||||||
|
if (lastRes.ok) {
|
||||||
|
const data = await lastRes.json();
|
||||||
|
applyConfig(data);
|
||||||
|
addLogLine('Загружена конфигурация последнего запуска.', 'info');
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
} catch (e) {
|
||||||
|
// Silence fail to fall back to defaults
|
||||||
|
}
|
||||||
|
|
||||||
|
// 3. Fall back to defaults
|
||||||
|
try {
|
||||||
|
const res = await fetch('/api/config/defaults');
|
||||||
|
if (!res.ok) throw new Error('Failed to fetch defaults');
|
||||||
|
const data = await res.json();
|
||||||
|
applyConfig(data);
|
||||||
|
} catch (err) {
|
||||||
|
console.error('Error loading defaults:', err);
|
||||||
|
showNotification('Ошибка загрузки настроек по умолчанию', 'error');
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// --- Sessions Management ---
|
||||||
|
async function loadSessionsList() {
|
||||||
|
try {
|
||||||
|
const res = await fetch('/api/sessions');
|
||||||
|
if (!res.ok) throw new Error();
|
||||||
|
const names = await res.json();
|
||||||
|
|
||||||
|
// Re-populate select
|
||||||
|
const currentValue = sessionSelect.value;
|
||||||
|
sessionSelect.innerHTML = '<option value="">По умолчанию (Последний запуск)</option>';
|
||||||
|
names.forEach(name => {
|
||||||
|
const opt = document.createElement('option');
|
||||||
|
opt.value = name;
|
||||||
|
opt.textContent = name;
|
||||||
|
sessionSelect.appendChild(opt);
|
||||||
|
});
|
||||||
|
|
||||||
|
// Restore selection if still exists
|
||||||
|
const savedProfile = localStorage.getItem('selected_profile') || "";
|
||||||
|
const finalValue = currentValue || savedProfile;
|
||||||
|
if (names.includes(finalValue)) {
|
||||||
|
sessionSelect.value = finalValue;
|
||||||
|
sessionDeleteBtn.disabled = false;
|
||||||
|
} else {
|
||||||
|
sessionSelect.value = "";
|
||||||
|
sessionDeleteBtn.disabled = true;
|
||||||
|
}
|
||||||
|
} catch (e) {
|
||||||
|
console.error("Failed to load sessions list:", e);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// --- Datasets Auto-Discovery ---
|
||||||
|
let discoveredDatasets = [];
|
||||||
|
|
||||||
|
async function loadDatasetsList() {
|
||||||
|
try {
|
||||||
|
const res = await fetch('/api/datasets');
|
||||||
|
if (!res.ok) throw new Error();
|
||||||
|
discoveredDatasets = await res.json();
|
||||||
|
|
||||||
|
// Re-populate select
|
||||||
|
datasetSelect.innerHTML = '';
|
||||||
|
discoveredDatasets.forEach(item => {
|
||||||
|
const opt = document.createElement('option');
|
||||||
|
opt.value = item.path;
|
||||||
|
opt.textContent = `${item.name} (${item.type === 'directory' ? 'Папка' : 'Конфиг'})`;
|
||||||
|
datasetSelect.appendChild(opt);
|
||||||
|
});
|
||||||
|
|
||||||
|
// Add custom path option
|
||||||
|
const customOpt = document.createElement('option');
|
||||||
|
customOpt.value = '__custom__';
|
||||||
|
customOpt.textContent = 'Указать путь вручную...';
|
||||||
|
datasetSelect.appendChild(customOpt);
|
||||||
|
|
||||||
|
updateDatasetFieldsState();
|
||||||
|
} catch (e) {
|
||||||
|
console.error("Failed to load datasets list:", e);
|
||||||
|
datasetSelect.innerHTML = '<option value="__custom__">Указать путь вручную...</option>';
|
||||||
|
updateDatasetFieldsState();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateDatasetFieldsState() {
|
||||||
|
const val = datasetSelect.value;
|
||||||
|
const datasetInput = document.getElementById('dataset');
|
||||||
|
|
||||||
|
if (val === '__custom__') {
|
||||||
|
datasetCustomWrapper.style.display = 'block';
|
||||||
|
} else {
|
||||||
|
datasetCustomWrapper.style.display = 'none';
|
||||||
|
datasetInput.value = val;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
datasetSelect.addEventListener('change', updateDatasetFieldsState);
|
||||||
|
|
||||||
|
async function loadModelsList() {
|
||||||
|
try {
|
||||||
|
const res = await fetch('/api/models');
|
||||||
|
if (!res.ok) throw new Error();
|
||||||
|
discoveredModels = await res.json();
|
||||||
|
} catch (e) {
|
||||||
|
console.error("Failed to load models list:", e);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
modelSelect.addEventListener('change', updateModelFieldsState);
|
||||||
|
|
||||||
|
sessionSelect.addEventListener('change', async () => {
|
||||||
|
const name = sessionSelect.value;
|
||||||
|
localStorage.setItem('selected_profile', name);
|
||||||
|
if (!name) {
|
||||||
|
sessionDeleteBtn.disabled = true;
|
||||||
|
localStorage.removeItem('draft_config'); // Reset draft
|
||||||
|
await loadInitialConfig();
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
sessionDeleteBtn.disabled = false;
|
||||||
|
try {
|
||||||
|
const res = await fetch(`/api/sessions/${name}`);
|
||||||
|
if (!res.ok) throw new Error();
|
||||||
|
const data = await res.json();
|
||||||
|
applyConfig(data);
|
||||||
|
localStorage.setItem('draft_config', JSON.stringify(data));
|
||||||
|
showNotification(`Профиль "${name}" успешно загружен.`, 'success');
|
||||||
|
} catch (e) {
|
||||||
|
showNotification('Не удалось загрузить выбранный профиль.', 'error');
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
sessionSaveBtn.addEventListener('click', async () => {
|
||||||
|
const name = sessionNameInput.value.trim().replace(/[^a-zA-Z0-9_\-]/g, "");
|
||||||
|
if (!name) {
|
||||||
|
showNotification('Введите корректное имя профиля (латиница, цифры, дефисы).', 'warning');
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
if (name === "last_run") {
|
||||||
|
showNotification('Имя "last_run" зарезервировано бэкендом.', 'warning');
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
|
||||||
|
const config = getFormConfig();
|
||||||
|
try {
|
||||||
|
const res = await fetch(`/api/sessions/${name}`, {
|
||||||
|
method: 'POST',
|
||||||
|
headers: { 'Content-Type': 'application/json' },
|
||||||
|
body: JSON.stringify(config)
|
||||||
|
});
|
||||||
|
if (!res.ok) throw new Error();
|
||||||
|
|
||||||
|
showNotification(`Профиль "${name}" сохранен.`, 'success');
|
||||||
|
sessionNameInput.value = "";
|
||||||
|
|
||||||
|
localStorage.setItem('selected_profile', name);
|
||||||
|
localStorage.setItem('draft_config', JSON.stringify(config));
|
||||||
|
await loadSessionsList();
|
||||||
|
sessionSelect.value = name;
|
||||||
|
sessionDeleteBtn.disabled = false;
|
||||||
|
} catch (e) {
|
||||||
|
showNotification('Не удалось сохранить профиль.', 'error');
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
sessionDeleteBtn.addEventListener('click', async () => {
|
||||||
|
const name = sessionSelect.value;
|
||||||
|
if (!name) return;
|
||||||
|
|
||||||
|
if (!confirm(`Вы действительно хотите удалить профиль "${name}"?`)) return;
|
||||||
|
|
||||||
|
try {
|
||||||
|
const res = await fetch(`/api/sessions/${name}`, { method: 'DELETE' });
|
||||||
|
if (!res.ok) throw new Error();
|
||||||
|
|
||||||
|
showNotification(`Профиль "${name}" удален.`, 'success');
|
||||||
|
sessionSelect.value = "";
|
||||||
|
sessionDeleteBtn.disabled = true;
|
||||||
|
localStorage.removeItem('selected_profile');
|
||||||
|
localStorage.removeItem('draft_config');
|
||||||
|
await loadSessionsList();
|
||||||
|
await loadInitialConfig();
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
// --- Form submit ---
|
||||||
|
async function startTraining() {
|
||||||
|
if (isTrainingActive) return;
|
||||||
|
const config = getFormConfig();
|
||||||
|
|
||||||
|
try {
|
||||||
|
const res = await fetch('/api/train/start', {
|
||||||
|
method: 'POST',
|
||||||
|
headers: { 'Content-Type': 'application/json' },
|
||||||
|
body: JSON.stringify(config)
|
||||||
|
});
|
||||||
|
|
||||||
|
const data = await res.json();
|
||||||
|
if (!res.ok) {
|
||||||
|
throw new Error(data.detail || 'Failed to start training');
|
||||||
|
}
|
||||||
|
showNotification('Обучение успешно запущено!', 'success');
|
||||||
|
} catch (err) {
|
||||||
|
console.error('Start error:', err);
|
||||||
|
showNotification(err.message, 'error');
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
async function stopTraining() {
|
||||||
|
if (!isTrainingActive) return;
|
||||||
|
try {
|
||||||
|
const res = await fetch('/api/train/stop', { method: 'POST' });
|
||||||
|
if (!res.ok) {
|
||||||
|
const data = await res.json();
|
||||||
|
throw new Error(data.detail || 'Failed to stop training');
|
||||||
|
}
|
||||||
|
showNotification('Запрос на остановку отправлен.', 'info');
|
||||||
|
} catch (err) {
|
||||||
|
console.error('Stop error:', err);
|
||||||
|
showNotification(err.message, 'error');
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
const configForm = document.getElementById('config-form');
|
||||||
|
if (configForm) {
|
||||||
|
configForm.addEventListener('input', () => {
|
||||||
|
const config = getFormConfig();
|
||||||
|
localStorage.setItem('draft_config', JSON.stringify(config));
|
||||||
|
});
|
||||||
|
configForm.addEventListener('change', () => {
|
||||||
|
const config = getFormConfig();
|
||||||
|
localStorage.setItem('draft_config', JSON.stringify(config));
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
startBtn.addEventListener('click', startTraining);
|
||||||
|
stopBtn.addEventListener('click', stopTraining);
|
||||||
|
|
||||||
|
// --- Helper Notification System ---
|
||||||
|
function showNotification(message, type = 'info') {
|
||||||
|
const toast = document.createElement('div');
|
||||||
|
toast.style.position = 'fixed';
|
||||||
|
toast.style.bottom = '20px';
|
||||||
|
toast.style.right = '20px';
|
||||||
|
toast.style.padding = '12px 20px';
|
||||||
|
toast.style.borderRadius = '8px';
|
||||||
|
toast.style.fontFamily = 'Outfit';
|
||||||
|
toast.style.fontSize = '0.9rem';
|
||||||
|
toast.style.fontWeight = '500';
|
||||||
|
toast.style.zIndex = '9999';
|
||||||
|
toast.style.boxShadow = '0 10px 25px rgba(0,0,0,0.5)';
|
||||||
|
toast.style.animation = 'slideIn 0.3s cubic-bezier(0.4, 0, 0.2, 1)';
|
||||||
|
toast.style.maxWidth = '350px';
|
||||||
|
|
||||||
|
if (type === 'success') {
|
||||||
|
toast.style.backgroundColor = 'var(--success)';
|
||||||
|
toast.style.color = '#000';
|
||||||
|
} else if (type === 'error') {
|
||||||
|
toast.style.backgroundColor = 'var(--error)';
|
||||||
|
toast.style.color = '#fff';
|
||||||
|
} else if (type === 'warning') {
|
||||||
|
toast.style.backgroundColor = 'var(--warning)';
|
||||||
|
toast.style.color = '#000';
|
||||||
|
} else {
|
||||||
|
toast.style.backgroundColor = 'var(--accent)';
|
||||||
|
toast.style.color = '#fff';
|
||||||
|
}
|
||||||
|
|
||||||
|
toast.textContent = message;
|
||||||
|
document.body.appendChild(toast);
|
||||||
|
|
||||||
|
setTimeout(() => {
|
||||||
|
toast.style.animation = 'fadeOut 0.5s ease forwards';
|
||||||
|
setTimeout(() => toast.remove(), 500);
|
||||||
|
}, 4000);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Add keyframes dynamically if not in stylesheet
|
||||||
|
const styleSheet = document.createElement("style");
|
||||||
|
styleSheet.innerText = `
|
||||||
|
@keyframes slideIn {
|
||||||
|
from { transform: translateY(100%) scale(0.9); opacity: 0; }
|
||||||
|
to { transform: translateY(0) scale(1); opacity: 1; }
|
||||||
|
}
|
||||||
|
@keyframes fadeOut {
|
||||||
|
from { opacity: 1; }
|
||||||
|
to { opacity: 0; }
|
||||||
|
}
|
||||||
|
`;
|
||||||
|
document.head.appendChild(styleSheet);
|
||||||
|
|
||||||
|
// Initial load sequence
|
||||||
|
loadDatasetsList().then(() => {
|
||||||
|
return loadModelsList();
|
||||||
|
}).then(() => {
|
||||||
|
return loadInitialConfig();
|
||||||
|
}).then(() => {
|
||||||
|
loadSessionsList();
|
||||||
|
connectWebSocket();
|
||||||
|
initChart();
|
||||||
|
});
|
||||||
|
});
|
||||||
406
src/yolo_webui/static/index.html
Normal file
406
src/yolo_webui/static/index.html
Normal file
|
|
@ -0,0 +1,406 @@
|
||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="ru">
|
||||||
|
<head>
|
||||||
|
<meta charset="UTF-8">
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||||
|
<title>YOLO Train Studio</title>
|
||||||
|
<!-- Google Fonts -->
|
||||||
|
<link rel="preconnect" href="https://fonts.googleapis.com">
|
||||||
|
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||||||
|
<link href="https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">
|
||||||
|
<!-- Chart.js -->
|
||||||
|
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
|
||||||
|
<link rel="stylesheet" href="/static/style.css">
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<header class="app-header">
|
||||||
|
<div class="header-logo">
|
||||||
|
<svg class="logo-icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
|
||||||
|
<path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"></path>
|
||||||
|
<polyline points="3.27 6.96 12 12.01 20.73 6.96"></polyline>
|
||||||
|
<line x1="12" y1="22.08" x2="12" y2="12"></line>
|
||||||
|
</svg>
|
||||||
|
<div class="logo-text">
|
||||||
|
<h1>YOLO Train Studio</h1>
|
||||||
|
<span>Интерфейс обучения моделей</span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="header-actions">
|
||||||
|
<a href="http://localhost:5000" target="_blank" class="mlflow-link" id="mlflow-header-link">
|
||||||
|
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" class="link-icon">
|
||||||
|
<path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path>
|
||||||
|
<polyline points="15 3 21 3 21 9"></polyline>
|
||||||
|
<line x1="10" y1="14" x2="21" y2="3"></line>
|
||||||
|
</svg>
|
||||||
|
Открыть MLflow UI
|
||||||
|
</a>
|
||||||
|
</div>
|
||||||
|
</header>
|
||||||
|
|
||||||
|
<main class="app-workspace">
|
||||||
|
<!-- Configuration Card -->
|
||||||
|
<section class="pane" id="config-pane">
|
||||||
|
<!-- Session Controls -->
|
||||||
|
<div class="session-controls">
|
||||||
|
<div class="session-header">
|
||||||
|
<svg class="session-icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
|
||||||
|
<path d="M19 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11l5 5v11a2 2 0 0 1-2 2z"></path>
|
||||||
|
<polyline points="17 21 17 13 7 13 7 21"></polyline>
|
||||||
|
<polyline points="7 3 7 8 15 8"></polyline>
|
||||||
|
</svg>
|
||||||
|
<h3>Профили конфигурации</h3>
|
||||||
|
</div>
|
||||||
|
<div class="session-body">
|
||||||
|
<div class="session-row">
|
||||||
|
<div class="session-field">
|
||||||
|
<label for="session-select">Активный профиль</label>
|
||||||
|
<select id="session-select">
|
||||||
|
<option value="">По умолчанию (Последний запуск)</option>
|
||||||
|
</select>
|
||||||
|
</div>
|
||||||
|
<button type="button" id="session-delete-btn" class="btn-action btn-delete" disabled title="Удалить выбранный профиль">
|
||||||
|
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" class="btn-icon-small"><polyline points="3 6 5 6 21 6"></polyline><path d="M19 6v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6m3 0V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v2"></path></svg>
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
<div class="session-row">
|
||||||
|
<div class="session-field">
|
||||||
|
<label for="session-name">Сохранить текущие настройки как профиль</label>
|
||||||
|
<input type="text" id="session-name" placeholder="Введите имя профиля...">
|
||||||
|
</div>
|
||||||
|
<button type="button" id="session-save-btn" class="btn-action btn-save" title="Сохранить настройки">
|
||||||
|
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" class="btn-icon-small"><path d="M19 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11l5 5v11a2 2 0 0 1-2 2z"></path><polyline points="17 21 17 13 7 13 7 21"></polyline></svg>
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div class="tabs">
|
||||||
|
<button class="tab-btn active" data-tab="general">Основное</button>
|
||||||
|
<button class="tab-btn" data-tab="training">Обучение</button>
|
||||||
|
<button class="tab-btn" data-tab="augmentation">Аугментация</button>
|
||||||
|
<button class="tab-btn" data-tab="mlflow">MLflow</button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<form id="config-form" class="form-container">
|
||||||
|
<!-- GENERAL TAB -->
|
||||||
|
<div class="tab-content active" id="tab-general">
|
||||||
|
<div class="form-section-title">Модель и Данные</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="task">Тип задачи</label>
|
||||||
|
<select id="task" name="task">
|
||||||
|
<option value="detect">Detect (Детекция)</option>
|
||||||
|
<option value="segment">Segment (Сегментация)</option>
|
||||||
|
<option value="classify">Classify (Классификация)</option>
|
||||||
|
<option value="pose">Pose (Позы)</option>
|
||||||
|
<option value="obb">OBB (Ориентированные боксы)</option>
|
||||||
|
</select>
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="model-select">Выбор модели</label>
|
||||||
|
<select id="model-select">
|
||||||
|
<!-- Populated dynamically via JS based on task -->
|
||||||
|
</select>
|
||||||
|
</div>
|
||||||
|
<div class="field" id="model-custom-wrapper" style="display: none;">
|
||||||
|
<label for="model">Имя весов или путь к модели вручную</label>
|
||||||
|
<input type="text" id="model" name="model" placeholder="например, yolo11n.pt или /workspace/runs/.../best.pt">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="dataset-select">Выбор датасета</label>
|
||||||
|
<select id="dataset-select">
|
||||||
|
<option value="">Поиск локальных датасетов...</option>
|
||||||
|
</select>
|
||||||
|
</div>
|
||||||
|
<div class="field" id="dataset-custom-wrapper" style="display: none;">
|
||||||
|
<label for="dataset">Путь к датасету вручную</label>
|
||||||
|
<input type="text" id="dataset" name="dataset" placeholder="например, coco8.yaml или /workspace/datasets/custom">
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div class="form-section-title">Разделение данных (Train/Val)</div>
|
||||||
|
<div class="toggle-row">
|
||||||
|
<div class="toggle-label">
|
||||||
|
<h3>Автоматическое разделение</h3>
|
||||||
|
<p>Разделить датасет на train/val перед запуском</p>
|
||||||
|
</div>
|
||||||
|
<label class="switch-container">
|
||||||
|
<input type="checkbox" id="split-enabled">
|
||||||
|
<span class="switch-slider"></span>
|
||||||
|
</label>
|
||||||
|
</div>
|
||||||
|
<div class="row split-fields">
|
||||||
|
<div class="field">
|
||||||
|
<label for="split-ratio">Доля train (0.1…0.95)</label>
|
||||||
|
<input type="number" id="split-ratio" name="split-ratio" step="0.05" min="0.1" max="0.95" value="0.8">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="split-classes">Файл классов (classes.txt / YAML)</label>
|
||||||
|
<input type="text" id="split-classes" name="split-classes" placeholder="Автопоиск">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- TRAINING TAB -->
|
||||||
|
<div class="tab-content" id="tab-training">
|
||||||
|
<div class="form-section-title">Гиперпараметры</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="epochs">Количество эпох</label>
|
||||||
|
<input type="number" id="epochs" name="epochs" min="1" value="100">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="image-size">Размер изображения</label>
|
||||||
|
<input type="number" id="image-size" name="image-size" min="32" value="640">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="batch-size">Размер батча (Batch)</label>
|
||||||
|
<input type="number" id="batch-size" name="batch-size" min="-1" value="16">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="device">Устройство (Device)</label>
|
||||||
|
<input type="text" id="device" name="device" placeholder="cpu, 0, 0,1">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="workers">Потоки загрузки (Workers)</label>
|
||||||
|
<input type="number" id="workers" name="workers" min="0" value="8">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="patience">Ожидание (Patience)</label>
|
||||||
|
<input type="number" id="patience" name="patience" min="0" value="100">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="project">Каталог результатов</label>
|
||||||
|
<input type="text" id="project" name="project" value="runs/train">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="run-name">Имя запуска</label>
|
||||||
|
<input type="text" id="run-name" name="run-name" placeholder="experiment-01">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- AUGMENTATION TAB -->
|
||||||
|
<div class="tab-content" id="tab-augmentation">
|
||||||
|
<div class="toggle-row">
|
||||||
|
<div class="toggle-label">
|
||||||
|
<h3>Пользовательские аугментации</h3>
|
||||||
|
<p>Передавать параметры аугментации в Ultralytics</p>
|
||||||
|
</div>
|
||||||
|
<label class="switch-container">
|
||||||
|
<input type="checkbox" id="augmentation-enabled" checked>
|
||||||
|
<span class="switch-slider"></span>
|
||||||
|
</label>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div class="augmentation-fields">
|
||||||
|
<div class="form-section-title">Цветовые (HSV)</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="hsv-h">HSV Hue (0…1)</label>
|
||||||
|
<input type="number" id="hsv-h" name="hsv-h" step="0.005" min="0" max="1" value="0.015">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="hsv-s">HSV Saturation (0…1)</label>
|
||||||
|
<input type="number" id="hsv-s" name="hsv-s" step="0.05" min="0" max="1" value="0.7">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="hsv-v">HSV Value/Brightness (0…1)</label>
|
||||||
|
<input type="number" id="hsv-v" name="hsv-v" step="0.05" min="0" max="1" value="0.4">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div class="form-section-title">Геометрические</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="degrees">Поворот (град.)</label>
|
||||||
|
<input type="number" id="degrees" name="degrees" step="0.5" min="0" value="0.0">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="translate">Смещение (0…1)</label>
|
||||||
|
<input type="number" id="translate" name="translate" step="0.05" min="0" max="1" value="0.1">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="scale">Масштаб (0…1)</label>
|
||||||
|
<input type="number" id="scale" name="scale" step="0.05" min="0" max="1" value="0.5">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="shear">Сдвиг (град.)</label>
|
||||||
|
<input type="number" id="shear" name="shear" step="0.5" min="0" value="0.0">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="perspective">Перспектива (0…1)</label>
|
||||||
|
<input type="number" id="perspective" name="perspective" step="0.001" min="0" max="1" value="0.0">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="close-mosaic">Закрыть mosaic (эпох)</label>
|
||||||
|
<input type="number" id="close-mosaic" name="close-mosaic" min="0" value="10">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="flipud">Flip вверх/вниз</label>
|
||||||
|
<input type="number" id="flipud" name="flipud" step="0.1" min="0" max="1" value="0.0">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="fliplr">Flip влево/вправо</label>
|
||||||
|
<input type="number" id="fliplr" name="fliplr" step="0.1" min="0" max="1" value="0.5">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="bgr">RGB ↔ BGR (0…1)</label>
|
||||||
|
<input type="number" id="bgr" name="bgr" step="0.1" min="0" max="1" value="0.0">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div class="form-section-title">Составные</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="mosaic">Mosaic (0…1)</label>
|
||||||
|
<input type="number" id="mosaic" name="mosaic" step="0.1" min="0" max="1" value="1.0">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="mixup">MixUp (0…1)</label>
|
||||||
|
<input type="number" id="mixup" name="mixup" step="0.1" min="0" max="1" value="0.0">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="cutmix">CutMix (0…1)</label>
|
||||||
|
<input type="number" id="cutmix" name="cutmix" step="0.1" min="0" max="1" value="0.0">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="copy-paste">Copy-paste (0…1)</label>
|
||||||
|
<input type="number" id="copy-paste" name="copy-paste" step="0.1" min="0" max="1" value="0.0">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="erasing">Erasing (0…1)</label>
|
||||||
|
<input type="number" id="erasing" name="erasing" step="0.05" min="0" max="1" value="0.4">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="copy-paste-mode">Режим Copy-paste</label>
|
||||||
|
<select id="copy-paste-mode" name="copy-paste-mode">
|
||||||
|
<option value="flip">Flip</option>
|
||||||
|
<option value="mixup">Mixup</option>
|
||||||
|
</select>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="auto-augment">AutoAugment политика (classify)</label>
|
||||||
|
<select id="auto-augment" name="auto-augment">
|
||||||
|
<option value="randaugment">RandAugment</option>
|
||||||
|
<option value="autoaugment">AutoAugment</option>
|
||||||
|
<option value="augmix">AugMix</option>
|
||||||
|
</select>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- MLFLOW TAB -->
|
||||||
|
<div class="tab-content" id="tab-mlflow">
|
||||||
|
<div class="toggle-row">
|
||||||
|
<div class="toggle-label">
|
||||||
|
<h3>Интеграция MLflow</h3>
|
||||||
|
<p>Записывать параметры, метрики и checkpoints</p>
|
||||||
|
</div>
|
||||||
|
<label class="switch-container">
|
||||||
|
<input type="checkbox" id="mlflow-enabled" checked>
|
||||||
|
<span class="switch-slider"></span>
|
||||||
|
</label>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div class="mlflow-fields">
|
||||||
|
<div class="field">
|
||||||
|
<label for="tracking-uri">Tracking URI</label>
|
||||||
|
<input type="text" id="tracking-uri" name="tracking-uri" value="sqlite:///mlflow.db" placeholder="http://127.0.0.1:5000">
|
||||||
|
</div>
|
||||||
|
<div class="row">
|
||||||
|
<div class="field">
|
||||||
|
<label for="experiment-name">Название эксперимента</label>
|
||||||
|
<input type="text" id="experiment-name" name="experiment-name" value="yolo-webui">
|
||||||
|
</div>
|
||||||
|
<div class="field">
|
||||||
|
<label for="mlflow-run-name">Имя запуска (Run Name)</label>
|
||||||
|
<input type="text" id="mlflow-run-name" name="mlflow-run-name" placeholder="Автоматически">
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</form>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<!-- Monitoring Card -->
|
||||||
|
<section class="pane" id="run-pane">
|
||||||
|
<!-- Status Card -->
|
||||||
|
<div id="status-card" class="status-idle">
|
||||||
|
<div class="status-header">
|
||||||
|
<div class="status-indicator">
|
||||||
|
<span class="status-dot"></span>
|
||||||
|
<h2 id="status-title">ГОТОВО К ЗАПУСКУ</h2>
|
||||||
|
</div>
|
||||||
|
<div class="status-timer" id="status-timer">00:00:00</div>
|
||||||
|
</div>
|
||||||
|
<p id="status-text">Проверьте параметры и начните обучение.</p>
|
||||||
|
<div class="progress-container">
|
||||||
|
<div class="progress-bar-wrapper">
|
||||||
|
<div class="progress-bar-fill" id="progress-bar-fill" style="width: 0%"></div>
|
||||||
|
</div>
|
||||||
|
<div class="progress-meta">
|
||||||
|
<span id="progress-text">Эпохи: 0 / 100</span>
|
||||||
|
<span id="progress-eta">ETA: --:--:--</span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Action Buttons -->
|
||||||
|
<div class="action-buttons">
|
||||||
|
<button type="button" id="start-btn" class="btn btn-primary">
|
||||||
|
<svg viewBox="0 0 24 24" fill="currentColor" class="btn-icon">
|
||||||
|
<path d="M8 5v14l11-7z"></path>
|
||||||
|
</svg>
|
||||||
|
Начать обучение
|
||||||
|
</button>
|
||||||
|
<button type="button" id="stop-btn" class="btn btn-danger" disabled>
|
||||||
|
<svg viewBox="0 0 24 24" fill="currentColor" class="btn-icon">
|
||||||
|
<path d="M6 19h4V5H6v14zm8-14v14h4V5h-4z"></path>
|
||||||
|
</svg>
|
||||||
|
Остановить
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Live Chart -->
|
||||||
|
<div class="chart-container-card">
|
||||||
|
<div class="chart-header">
|
||||||
|
<h3>График обучения (Live)</h3>
|
||||||
|
<div class="chart-legend" id="chart-legend"></div>
|
||||||
|
</div>
|
||||||
|
<div class="chart-canvas-wrapper">
|
||||||
|
<canvas id="metricsChart"></canvas>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Logs Box -->
|
||||||
|
<div class="log-card">
|
||||||
|
<div class="log-header">
|
||||||
|
<h3>Журнал</h3>
|
||||||
|
<div class="log-actions">
|
||||||
|
<label class="checkbox-inline">
|
||||||
|
<input type="checkbox" id="autoscroll" checked>
|
||||||
|
Автопрокрутка
|
||||||
|
</label>
|
||||||
|
<button type="button" id="clear-log-btn" class="btn-text">Очистить</button>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="log-body" id="log-container">
|
||||||
|
<div class="log-line log-level-info">Интерфейс готов. Ожидание запуска...</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
</section>
|
||||||
|
</main>
|
||||||
|
<script src="/static/app.js"></script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
805
src/yolo_webui/static/style.css
Normal file
805
src/yolo_webui/static/style.css
Normal file
|
|
@ -0,0 +1,805 @@
|
||||||
|
/* Nordic Charcoal & Cyber Orange Palette */
|
||||||
|
:root {
|
||||||
|
--bg-primary: #0d0d0f;
|
||||||
|
--bg-secondary: #141416;
|
||||||
|
--bg-tertiary: #1b1b1f;
|
||||||
|
--bg-card: #141416;
|
||||||
|
|
||||||
|
--border-color: #27272a;
|
||||||
|
--border-hover: #3f3f46;
|
||||||
|
|
||||||
|
--text-main: #f4f4f5;
|
||||||
|
--text-muted: #a1a1aa;
|
||||||
|
--text-dim: #71717a;
|
||||||
|
|
||||||
|
--accent: #f97316;
|
||||||
|
--accent-hover: #fb923c;
|
||||||
|
--accent-glow: rgba(249, 115, 22, 0.15);
|
||||||
|
--accent-gradient: linear-gradient(135deg, #ea580c 0%, #f97316 100%);
|
||||||
|
--accent-gradient-hover: linear-gradient(135deg, #f97316 0%, #fdba74 100%);
|
||||||
|
|
||||||
|
--success: #10b981;
|
||||||
|
--success-glow: rgba(16, 185, 129, 0.15);
|
||||||
|
--warning: #f59e0b;
|
||||||
|
--warning-glow: rgba(245, 158, 11, 0.15);
|
||||||
|
--error: #ef4444;
|
||||||
|
--error-glow: rgba(239, 68, 68, 0.15);
|
||||||
|
|
||||||
|
--font-sans: 'Outfit', -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
|
||||||
|
--font-mono: 'JetBrains Mono', SFMono-Regular, Consolas, monospace;
|
||||||
|
|
||||||
|
--shadow-main: 0 10px 30px rgba(0, 0, 0, 0.5);
|
||||||
|
--transition-fast: 0.12s ease;
|
||||||
|
--transition-normal: 0.2s cubic-bezier(0.4, 0, 0.2, 1);
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Reset and Globals */
|
||||||
|
* {
|
||||||
|
box-sizing: border-box;
|
||||||
|
margin: 0;
|
||||||
|
padding: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
body {
|
||||||
|
background-color: var(--bg-primary);
|
||||||
|
color: var(--text-main);
|
||||||
|
font-family: var(--font-sans);
|
||||||
|
min-height: 100vh;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
overflow-x: hidden;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Header Styles */
|
||||||
|
.app-header {
|
||||||
|
background-color: var(--bg-secondary);
|
||||||
|
border-bottom: 1px solid var(--border-color);
|
||||||
|
padding: 0.75rem 2rem;
|
||||||
|
display: flex;
|
||||||
|
justify-content: space-between;
|
||||||
|
align-items: center;
|
||||||
|
box-shadow: var(--shadow-main);
|
||||||
|
z-index: 10;
|
||||||
|
}
|
||||||
|
|
||||||
|
.header-logo {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 0.75rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.logo-icon {
|
||||||
|
width: 2.25rem;
|
||||||
|
height: 2.25rem;
|
||||||
|
color: var(--accent);
|
||||||
|
filter: drop-shadow(0 0 6px var(--accent-glow));
|
||||||
|
animation: rotateLogo 30s linear infinite;
|
||||||
|
}
|
||||||
|
|
||||||
|
@keyframes rotateLogo {
|
||||||
|
from { transform: rotate(0deg); }
|
||||||
|
to { transform: rotate(360deg); }
|
||||||
|
}
|
||||||
|
|
||||||
|
.logo-text h1 {
|
||||||
|
font-size: 1.35rem;
|
||||||
|
font-weight: 700;
|
||||||
|
letter-spacing: -0.02em;
|
||||||
|
color: var(--text-main);
|
||||||
|
line-height: 1.1;
|
||||||
|
}
|
||||||
|
|
||||||
|
.logo-text span {
|
||||||
|
font-size: 0.75rem;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
.header-actions {
|
||||||
|
display: flex;
|
||||||
|
gap: 1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.mlflow-link {
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 0.5rem;
|
||||||
|
color: var(--accent);
|
||||||
|
text-decoration: none;
|
||||||
|
font-size: 0.875rem;
|
||||||
|
font-weight: 600;
|
||||||
|
padding: 0.5rem 1rem;
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 6px;
|
||||||
|
background-color: rgba(249, 115, 22, 0.04);
|
||||||
|
transition: var(--transition-fast);
|
||||||
|
}
|
||||||
|
|
||||||
|
.mlflow-link:hover {
|
||||||
|
background-color: rgba(249, 115, 22, 0.12);
|
||||||
|
border-color: var(--accent);
|
||||||
|
color: var(--accent-hover);
|
||||||
|
transform: translateY(-1px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.link-icon {
|
||||||
|
width: 1rem;
|
||||||
|
height: 1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* App Layout Workspace */
|
||||||
|
.app-workspace {
|
||||||
|
flex: 1;
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: 46% 1fr;
|
||||||
|
gap: 1.5rem;
|
||||||
|
padding: 1.5rem 2rem;
|
||||||
|
max-width: 1800px;
|
||||||
|
width: 100%;
|
||||||
|
margin: 0 auto;
|
||||||
|
height: calc(100vh - 57px);
|
||||||
|
}
|
||||||
|
|
||||||
|
@media (max-width: 1100px) {
|
||||||
|
.app-workspace {
|
||||||
|
grid-template-columns: 1fr;
|
||||||
|
height: auto;
|
||||||
|
overflow-y: auto;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Glass Panels */
|
||||||
|
.pane {
|
||||||
|
background-color: var(--bg-card);
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 12px;
|
||||||
|
box-shadow: var(--shadow-main);
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
overflow: hidden;
|
||||||
|
height: 100%;
|
||||||
|
}
|
||||||
|
|
||||||
|
#config-pane {
|
||||||
|
padding: 1.25rem;
|
||||||
|
max-height: 100%;
|
||||||
|
}
|
||||||
|
|
||||||
|
#run-pane {
|
||||||
|
padding: 1.25rem;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 1.25rem;
|
||||||
|
max-height: 100%;
|
||||||
|
overflow-y: auto;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Custom Scrollbars */
|
||||||
|
#run-pane::-webkit-scrollbar,
|
||||||
|
.form-container::-webkit-scrollbar,
|
||||||
|
#log-container::-webkit-scrollbar {
|
||||||
|
width: 6px;
|
||||||
|
height: 6px;
|
||||||
|
}
|
||||||
|
|
||||||
|
#run-pane::-webkit-scrollbar-track,
|
||||||
|
.form-container::-webkit-scrollbar-track,
|
||||||
|
#log-container::-webkit-scrollbar-track {
|
||||||
|
background: transparent;
|
||||||
|
}
|
||||||
|
|
||||||
|
#run-pane::-webkit-scrollbar-thumb,
|
||||||
|
.form-container::-webkit-scrollbar-thumb,
|
||||||
|
#log-container::-webkit-scrollbar-thumb {
|
||||||
|
background: var(--border-color);
|
||||||
|
border-radius: 3px;
|
||||||
|
}
|
||||||
|
|
||||||
|
#run-pane::-webkit-scrollbar-thumb:hover,
|
||||||
|
.form-container::-webkit-scrollbar-thumb:hover,
|
||||||
|
#log-container::-webkit-scrollbar-thumb:hover {
|
||||||
|
background: var(--border-hover);
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Styled Session Controls Panel */
|
||||||
|
.session-controls {
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 0.75rem;
|
||||||
|
padding: 0.9rem 1.1rem;
|
||||||
|
background: var(--bg-tertiary);
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-left: 4px solid var(--accent);
|
||||||
|
border-radius: 8px;
|
||||||
|
margin-bottom: 1.25rem;
|
||||||
|
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.2);
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-header {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 0.5rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-icon {
|
||||||
|
width: 1.15rem;
|
||||||
|
height: 1.15rem;
|
||||||
|
color: var(--accent);
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-header h3 {
|
||||||
|
font-size: 0.875rem;
|
||||||
|
font-weight: 700;
|
||||||
|
text-transform: uppercase;
|
||||||
|
letter-spacing: 0.05em;
|
||||||
|
color: var(--text-main);
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-body {
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 0.6rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-row {
|
||||||
|
display: flex;
|
||||||
|
align-items: flex-end;
|
||||||
|
gap: 0.6rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-field {
|
||||||
|
flex: 1;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 0.3rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-field label {
|
||||||
|
font-size: 0.75rem;
|
||||||
|
font-weight: 600;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-field select,
|
||||||
|
.session-field input {
|
||||||
|
background-color: var(--bg-primary);
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 6px;
|
||||||
|
color: var(--text-main);
|
||||||
|
padding: 0.5rem 0.65rem;
|
||||||
|
font-family: var(--font-sans);
|
||||||
|
font-size: 0.85rem;
|
||||||
|
outline: none;
|
||||||
|
transition: var(--transition-fast);
|
||||||
|
}
|
||||||
|
|
||||||
|
.session-field select:focus,
|
||||||
|
.session-field input:focus {
|
||||||
|
border-color: var(--accent);
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-action {
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: center;
|
||||||
|
width: 2.15rem;
|
||||||
|
height: 2.15rem;
|
||||||
|
background-color: var(--bg-primary);
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 6px;
|
||||||
|
color: var(--text-muted);
|
||||||
|
cursor: pointer;
|
||||||
|
transition: var(--transition-fast);
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-icon-small {
|
||||||
|
width: 1.1rem;
|
||||||
|
height: 1.1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-save:hover:not(:disabled) {
|
||||||
|
background-color: rgba(249, 115, 22, 0.1);
|
||||||
|
border-color: var(--accent);
|
||||||
|
color: var(--accent);
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-delete:hover:not(:disabled) {
|
||||||
|
background-color: rgba(239, 68, 68, 0.1);
|
||||||
|
border-color: var(--error);
|
||||||
|
color: var(--error);
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-action:disabled {
|
||||||
|
opacity: 0.25;
|
||||||
|
cursor: not-allowed;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Tab Component */
|
||||||
|
.tabs {
|
||||||
|
display: flex;
|
||||||
|
background-color: var(--bg-tertiary);
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 8px;
|
||||||
|
padding: 0.25rem;
|
||||||
|
margin-bottom: 1.25rem;
|
||||||
|
gap: 0.25rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.tab-btn {
|
||||||
|
flex: 1;
|
||||||
|
background: none;
|
||||||
|
border: none;
|
||||||
|
border-radius: 6px;
|
||||||
|
color: var(--text-muted);
|
||||||
|
font-family: var(--font-sans);
|
||||||
|
font-size: 0.9rem;
|
||||||
|
font-weight: 600;
|
||||||
|
padding: 0.6rem;
|
||||||
|
cursor: pointer;
|
||||||
|
transition: var(--transition-fast);
|
||||||
|
}
|
||||||
|
|
||||||
|
.tab-btn:hover {
|
||||||
|
color: var(--text-main);
|
||||||
|
background-color: rgba(255, 255, 255, 0.02);
|
||||||
|
}
|
||||||
|
|
||||||
|
.tab-btn.active {
|
||||||
|
color: #fff;
|
||||||
|
background: var(--accent-gradient);
|
||||||
|
box-shadow: 0 4px 10px rgba(0, 0, 0, 0.25);
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Configuration Form Layout */
|
||||||
|
.form-container {
|
||||||
|
flex: 1;
|
||||||
|
overflow-y: auto;
|
||||||
|
padding-right: 0.5rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.tab-content {
|
||||||
|
display: none;
|
||||||
|
}
|
||||||
|
|
||||||
|
.tab-content.active {
|
||||||
|
display: block;
|
||||||
|
animation: fadeIn var(--transition-normal);
|
||||||
|
}
|
||||||
|
|
||||||
|
@keyframes fadeIn {
|
||||||
|
from { opacity: 0; transform: translateY(4px); }
|
||||||
|
to { opacity: 1; transform: translateY(0); }
|
||||||
|
}
|
||||||
|
|
||||||
|
.form-section-title {
|
||||||
|
font-size: 0.85rem;
|
||||||
|
font-weight: 700;
|
||||||
|
text-transform: uppercase;
|
||||||
|
letter-spacing: 0.05em;
|
||||||
|
color: var(--accent);
|
||||||
|
margin: 1.5rem 0 0.75rem 0;
|
||||||
|
border-bottom: 1px solid rgba(249, 115, 22, 0.15);
|
||||||
|
padding-bottom: 0.35rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.form-section-title:first-of-type {
|
||||||
|
margin-top: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Inputs, Selects, Labels */
|
||||||
|
.field {
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 0.35rem;
|
||||||
|
margin-bottom: 1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.field label {
|
||||||
|
font-size: 0.85rem;
|
||||||
|
font-weight: 600;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
.field input[type="text"],
|
||||||
|
.field input[type="number"],
|
||||||
|
.field select {
|
||||||
|
background-color: var(--bg-primary);
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 6px;
|
||||||
|
color: var(--text-main);
|
||||||
|
font-family: var(--font-sans);
|
||||||
|
font-size: 0.925rem;
|
||||||
|
padding: 0.6rem 0.75rem;
|
||||||
|
width: 100%;
|
||||||
|
outline: none;
|
||||||
|
transition: var(--transition-fast);
|
||||||
|
}
|
||||||
|
|
||||||
|
.field input:focus,
|
||||||
|
.field select:focus {
|
||||||
|
border-color: var(--accent);
|
||||||
|
box-shadow: 0 0 8px var(--accent-glow);
|
||||||
|
}
|
||||||
|
|
||||||
|
.field input:disabled,
|
||||||
|
.field select:disabled {
|
||||||
|
background-color: rgba(20, 20, 22, 0.4);
|
||||||
|
border-color: rgba(39, 39, 42, 0.3);
|
||||||
|
color: var(--text-dim);
|
||||||
|
cursor: not-allowed;
|
||||||
|
}
|
||||||
|
|
||||||
|
.row {
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: repeat(auto-fit, minmax(100px, 1fr));
|
||||||
|
gap: 0.75rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Toggles & Custom Switches */
|
||||||
|
.toggle-row {
|
||||||
|
display: flex;
|
||||||
|
justify-content: space-between;
|
||||||
|
align-items: center;
|
||||||
|
background-color: rgba(27, 27, 31, 0.4);
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 8px;
|
||||||
|
padding: 0.75rem 1rem;
|
||||||
|
margin-bottom: 1.25rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.toggle-label h3 {
|
||||||
|
font-size: 0.925rem;
|
||||||
|
font-weight: 600;
|
||||||
|
color: var(--text-main);
|
||||||
|
}
|
||||||
|
|
||||||
|
.toggle-label p {
|
||||||
|
font-size: 0.75rem;
|
||||||
|
color: var(--text-muted);
|
||||||
|
margin-top: 0.1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.switch-container {
|
||||||
|
position: relative;
|
||||||
|
display: inline-block;
|
||||||
|
width: 44px;
|
||||||
|
height: 22px;
|
||||||
|
}
|
||||||
|
|
||||||
|
.switch-container input {
|
||||||
|
opacity: 0;
|
||||||
|
width: 0;
|
||||||
|
height: 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
.switch-slider {
|
||||||
|
position: absolute;
|
||||||
|
cursor: pointer;
|
||||||
|
top: 0;
|
||||||
|
left: 0;
|
||||||
|
right: 0;
|
||||||
|
bottom: 0;
|
||||||
|
background-color: var(--border-color);
|
||||||
|
border-radius: 34px;
|
||||||
|
transition: var(--transition-fast);
|
||||||
|
}
|
||||||
|
|
||||||
|
.switch-slider:before {
|
||||||
|
position: absolute;
|
||||||
|
content: "";
|
||||||
|
height: 16px;
|
||||||
|
width: 16px;
|
||||||
|
left: 3px;
|
||||||
|
bottom: 3px;
|
||||||
|
background-color: #fff;
|
||||||
|
border-radius: 50%;
|
||||||
|
transition: var(--transition-fast);
|
||||||
|
}
|
||||||
|
|
||||||
|
.switch-container input:checked + .switch-slider {
|
||||||
|
background: var(--accent-gradient);
|
||||||
|
}
|
||||||
|
|
||||||
|
.switch-container input:checked + .switch-slider:before {
|
||||||
|
transform: translateX(22px);
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Status Cards & Themes */
|
||||||
|
#status-card {
|
||||||
|
border-radius: 8px;
|
||||||
|
padding: 1.25rem;
|
||||||
|
border-left: 5px solid var(--text-dim);
|
||||||
|
background-color: var(--bg-tertiary);
|
||||||
|
box-shadow: 0 4px 15px rgba(0,0,0,0.15);
|
||||||
|
transition: all var(--transition-normal);
|
||||||
|
}
|
||||||
|
|
||||||
|
#status-card.status-idle { border-left-color: var(--text-dim); }
|
||||||
|
#status-card.status-preparing { border-left-color: var(--warning); animation: pulsingBorder 2s infinite; }
|
||||||
|
#status-card.status-training { border-left-color: var(--success); }
|
||||||
|
#status-card.status-stopping { border-left-color: var(--warning); }
|
||||||
|
#status-card.status-finished { border-left-color: var(--success); }
|
||||||
|
#status-card.status-failed { border-left-color: var(--error); }
|
||||||
|
|
||||||
|
@keyframes pulsingBorder {
|
||||||
|
0% { opacity: 0.8; }
|
||||||
|
50% { opacity: 0.4; }
|
||||||
|
100% { opacity: 0.8; }
|
||||||
|
}
|
||||||
|
|
||||||
|
.status-header {
|
||||||
|
display: flex;
|
||||||
|
justify-content: space-between;
|
||||||
|
align-items: center;
|
||||||
|
margin-bottom: 0.5rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.status-indicator {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 0.5rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.status-dot {
|
||||||
|
width: 10px;
|
||||||
|
height: 10px;
|
||||||
|
border-radius: 50%;
|
||||||
|
background-color: var(--text-dim);
|
||||||
|
box-shadow: 0 0 6px var(--text-dim);
|
||||||
|
}
|
||||||
|
|
||||||
|
#status-card.status-preparing .status-dot { background-color: var(--warning); box-shadow: 0 0 8px var(--warning); animation: pulseDot 1s infinite; }
|
||||||
|
#status-card.status-training .status-dot { background-color: var(--success); box-shadow: 0 0 8px var(--success); animation: pulseDot 1.5s infinite; }
|
||||||
|
#status-card.status-stopping .status-dot { background-color: var(--warning); box-shadow: 0 0 8px var(--warning); }
|
||||||
|
#status-card.status-finished .status-dot { background-color: var(--success); box-shadow: 0 0 8px var(--success); }
|
||||||
|
#status-card.status-failed .status-dot { background-color: var(--error); box-shadow: 0 0 8px var(--error); }
|
||||||
|
|
||||||
|
@keyframes pulseDot {
|
||||||
|
0% { transform: scale(0.9); opacity: 0.6; }
|
||||||
|
50% { transform: scale(1.2); opacity: 1; }
|
||||||
|
100% { transform: scale(0.9); opacity: 0.6; }
|
||||||
|
}
|
||||||
|
|
||||||
|
#status-title {
|
||||||
|
font-size: 1rem;
|
||||||
|
font-weight: 700;
|
||||||
|
letter-spacing: 0.05em;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
#status-card.status-preparing #status-title { color: var(--warning); }
|
||||||
|
#status-card.status-training #status-title { color: var(--success); }
|
||||||
|
#status-card.status-stopping #status-title { color: var(--warning); }
|
||||||
|
#status-card.status-finished #status-title { color: var(--success); }
|
||||||
|
#status-card.status-failed #status-title { color: var(--error); }
|
||||||
|
|
||||||
|
.status-timer {
|
||||||
|
font-family: var(--font-mono);
|
||||||
|
font-size: 0.9rem;
|
||||||
|
font-weight: 500;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
#status-text {
|
||||||
|
font-size: 0.9rem;
|
||||||
|
color: var(--text-main);
|
||||||
|
margin-bottom: 1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Progress bar inside status card */
|
||||||
|
.progress-container {
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 0.4rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.progress-bar-wrapper {
|
||||||
|
height: 8px;
|
||||||
|
background-color: var(--bg-primary);
|
||||||
|
border-radius: 4px;
|
||||||
|
overflow: hidden;
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
}
|
||||||
|
|
||||||
|
.progress-bar-fill {
|
||||||
|
height: 100%;
|
||||||
|
background: var(--accent-gradient);
|
||||||
|
border-radius: 4px;
|
||||||
|
width: 0%;
|
||||||
|
transition: width var(--transition-normal);
|
||||||
|
}
|
||||||
|
|
||||||
|
#status-card.status-training .progress-bar-fill {
|
||||||
|
background: linear-gradient(90deg, var(--success), #34d399);
|
||||||
|
}
|
||||||
|
|
||||||
|
.progress-meta {
|
||||||
|
display: flex;
|
||||||
|
justify-content: space-between;
|
||||||
|
font-size: 0.8rem;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Form Action Buttons */
|
||||||
|
.action-buttons {
|
||||||
|
display: grid;
|
||||||
|
grid-template-columns: 1fr 1fr;
|
||||||
|
gap: 1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn {
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
justify-content: center;
|
||||||
|
gap: 0.5rem;
|
||||||
|
font-family: var(--font-sans);
|
||||||
|
font-size: 0.95rem;
|
||||||
|
font-weight: 600;
|
||||||
|
padding: 0.75rem 1rem;
|
||||||
|
border: none;
|
||||||
|
border-radius: 8px;
|
||||||
|
cursor: pointer;
|
||||||
|
transition: var(--transition-fast);
|
||||||
|
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.3);
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-icon {
|
||||||
|
width: 1.1rem;
|
||||||
|
height: 1.1rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-primary {
|
||||||
|
background: var(--accent-gradient);
|
||||||
|
color: #fff;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-primary:hover:not(:disabled) {
|
||||||
|
background: var(--accent-gradient-hover);
|
||||||
|
box-shadow: 0 0 12px var(--accent-glow);
|
||||||
|
transform: translateY(-1px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-danger {
|
||||||
|
background-color: var(--error);
|
||||||
|
color: #fff;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-danger:hover:not(:disabled) {
|
||||||
|
background-color: #f87171;
|
||||||
|
box-shadow: 0 0 12px var(--error-glow);
|
||||||
|
transform: translateY(-1px);
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn:disabled {
|
||||||
|
opacity: 0.35;
|
||||||
|
cursor: not-allowed;
|
||||||
|
transform: none !important;
|
||||||
|
box-shadow: none !important;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Charts Card */
|
||||||
|
.chart-container-card {
|
||||||
|
background-color: var(--bg-secondary);
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 8px;
|
||||||
|
padding: 1rem;
|
||||||
|
height: 320px;
|
||||||
|
min-height: 320px;
|
||||||
|
flex: none;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
}
|
||||||
|
|
||||||
|
.chart-header {
|
||||||
|
display: flex;
|
||||||
|
justify-content: space-between;
|
||||||
|
align-items: center;
|
||||||
|
margin-bottom: 0.75rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.chart-header h3 {
|
||||||
|
font-size: 0.9rem;
|
||||||
|
font-weight: 700;
|
||||||
|
text-transform: uppercase;
|
||||||
|
letter-spacing: 0.05em;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
.chart-canvas-wrapper {
|
||||||
|
position: relative;
|
||||||
|
width: 100%;
|
||||||
|
height: 240px;
|
||||||
|
}
|
||||||
|
|
||||||
|
/* Console Logs Box */
|
||||||
|
.log-card {
|
||||||
|
background-color: #0d0d0f;
|
||||||
|
border: 1px solid var(--border-color);
|
||||||
|
border-radius: 8px;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
height: 280px;
|
||||||
|
min-height: 280px;
|
||||||
|
flex: none;
|
||||||
|
overflow: hidden;
|
||||||
|
}
|
||||||
|
|
||||||
|
.log-header {
|
||||||
|
background-color: rgba(20, 20, 22, 0.7);
|
||||||
|
padding: 0.5rem 1rem;
|
||||||
|
border-bottom: 1px solid var(--border-color);
|
||||||
|
display: flex;
|
||||||
|
justify-content: space-between;
|
||||||
|
align-items: center;
|
||||||
|
}
|
||||||
|
|
||||||
|
.log-header h3 {
|
||||||
|
font-size: 0.85rem;
|
||||||
|
font-weight: 600;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
.log-actions {
|
||||||
|
display: flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 1rem;
|
||||||
|
font-size: 0.8rem;
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
||||||
|
.log-actions label {
|
||||||
|
cursor: pointer;
|
||||||
|
display: inline-flex;
|
||||||
|
align-items: center;
|
||||||
|
gap: 0.25rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-text {
|
||||||
|
background: none;
|
||||||
|
border: none;
|
||||||
|
color: var(--accent);
|
||||||
|
cursor: pointer;
|
||||||
|
font-size: 0.8rem;
|
||||||
|
}
|
||||||
|
|
||||||
|
.btn-text:hover {
|
||||||
|
color: var(--accent-hover);
|
||||||
|
}
|
||||||
|
|
||||||
|
.log-body {
|
||||||
|
flex: 1;
|
||||||
|
overflow-y: auto;
|
||||||
|
padding: 0.75rem 1rem;
|
||||||
|
font-family: var(--font-mono);
|
||||||
|
font-size: 0.85rem;
|
||||||
|
line-height: 1.5;
|
||||||
|
display: flex;
|
||||||
|
flex-direction: column;
|
||||||
|
gap: 0.25rem;
|
||||||
|
color: #e4e4e7;
|
||||||
|
}
|
||||||
|
|
||||||
|
.log-line {
|
||||||
|
white-space: pre-wrap;
|
||||||
|
word-break: break-all;
|
||||||
|
}
|
||||||
|
|
||||||
|
.log-level-info { color: var(--text-muted); }
|
||||||
|
.log-level-started { color: var(--accent); font-weight: 500; }
|
||||||
|
.log-level-epoch { color: #f3f4f6; }
|
||||||
|
.log-level-warning { color: var(--warning); }
|
||||||
|
.log-level-success { color: var(--success); font-weight: 600; }
|
||||||
|
.log-level-error { color: var(--error); font-weight: 600; }
|
||||||
|
|
||||||
|
.runs-hint {
|
||||||
|
font-size: 0.75rem;
|
||||||
|
color: var(--text-dim);
|
||||||
|
text-align: center;
|
||||||
|
}
|
||||||
|
|
||||||
|
.runs-hint code {
|
||||||
|
background-color: var(--bg-tertiary);
|
||||||
|
padding: 0.1rem 0.3rem;
|
||||||
|
border-radius: 4px;
|
||||||
|
font-family: var(--font-mono);
|
||||||
|
color: var(--text-muted);
|
||||||
|
}
|
||||||
|
|
@ -10,8 +10,8 @@ from pathlib import Path
|
||||||
# Force headless Matplotlib to avoid any thread/process GUI issues
|
# Force headless Matplotlib to avoid any thread/process GUI issues
|
||||||
os.environ["MPLBACKEND"] = "Agg"
|
os.environ["MPLBACKEND"] = "Agg"
|
||||||
|
|
||||||
from yolo_tui.config import TrainingConfig
|
from yolo_webui.config import TrainingConfig
|
||||||
from yolo_tui.trainer import TrainingEvent, TrainingRunner
|
from yolo_webui.trainer import TrainingEvent, TrainingRunner
|
||||||
|
|
||||||
|
|
||||||
@contextmanager
|
@contextmanager
|
||||||
|
|
@ -35,7 +35,7 @@ def main(argv: Sequence[str] | None = None) -> int:
|
||||||
args = list(sys.argv[1:] if argv is None else argv)
|
args = list(sys.argv[1:] if argv is None else argv)
|
||||||
if not args:
|
if not args:
|
||||||
print(
|
print(
|
||||||
"Usage: python -m yolo_tui.subprocess_runner <config_json_path>",
|
"Usage: python -m yolo_webui.subprocess_runner <config_json_path>",
|
||||||
file=sys.stderr,
|
file=sys.stderr,
|
||||||
)
|
)
|
||||||
return 1
|
return 1
|
||||||
|
|
@ -46,7 +46,7 @@ def main(argv: Sequence[str] | None = None) -> int:
|
||||||
|
|
||||||
with _stop_signal_handlers(runner):
|
with _stop_signal_handlers(runner):
|
||||||
# The parent waits for this marker before sending a cooperative signal.
|
# The parent waits for this marker before sending a cooperative signal.
|
||||||
print("__YOLO_TUI_READY__", flush=True)
|
print("__YOLO_WEBUI_READY__", flush=True)
|
||||||
try:
|
try:
|
||||||
with config_path.open("r", encoding="utf-8") as config_file:
|
with config_path.open("r", encoding="utf-8") as config_file:
|
||||||
config_dict = json.load(config_file)
|
config_dict = json.load(config_file)
|
||||||
|
|
@ -63,12 +63,12 @@ def main(argv: Sequence[str] | None = None) -> int:
|
||||||
"total_epochs": event.total_epochs,
|
"total_epochs": event.total_epochs,
|
||||||
}
|
}
|
||||||
# Print structured JSON event so the parent process can parse it
|
# Print structured JSON event so the parent process can parse it
|
||||||
print(f"__YOLO_TUI_EVENT__:{json.dumps(event_dict)}", flush=True)
|
print(f"__YOLO_WEBUI_EVENT__:{json.dumps(event_dict)}", flush=True)
|
||||||
|
|
||||||
try:
|
try:
|
||||||
output_dir = runner.train(config, handle_event)
|
output_dir = runner.train(config, handle_event)
|
||||||
if output_dir:
|
if output_dir:
|
||||||
print(f"__YOLO_TUI_RESULT__:{output_dir}", flush=True)
|
print(f"__YOLO_WEBUI_RESULT__:{output_dir}", flush=True)
|
||||||
return 0
|
return 0
|
||||||
except Exception:
|
except Exception:
|
||||||
traceback.print_exc()
|
traceback.print_exc()
|
||||||
|
|
@ -183,7 +183,7 @@ class TrainingRunner:
|
||||||
settings.update({"mlflow": config.mlflow.enabled})
|
settings.update({"mlflow": config.mlflow.enabled})
|
||||||
|
|
||||||
with mlflow_environment(config.mlflow):
|
with mlflow_environment(config.mlflow):
|
||||||
model = YOLO(config.model.strip(), task=config.task)
|
model = YOLO(config.resolved_model, task=config.task)
|
||||||
with self._state_lock:
|
with self._state_lock:
|
||||||
self._model = model
|
self._model = model
|
||||||
|
|
||||||
|
|
@ -1,118 +1,90 @@
|
||||||
from __future__ import annotations
|
from __future__ import annotations
|
||||||
|
|
||||||
import asyncio
|
from fastapi.testclient import TestClient
|
||||||
|
|
||||||
from textual.widgets import Button, Input, Select, Switch
|
from yolo_webui.app import app
|
||||||
|
|
||||||
from yolo_tui.app import YoloTrainApp
|
|
||||||
from yolo_tui.config import AugmentationConfig, DatasetSplitConfig
|
|
||||||
|
|
||||||
|
|
||||||
def test_app_mounts_with_expected_defaults() -> None:
|
def test_get_config_defaults() -> None:
|
||||||
async def exercise() -> None:
|
client = TestClient(app)
|
||||||
app = YoloTrainApp()
|
response = client.get("/api/config/defaults")
|
||||||
async with app.run_test(size=(140, 45)):
|
assert response.status_code == 200
|
||||||
assert app.query_one("#task", Select).value == "detect"
|
data = response.json()
|
||||||
assert app.query_one("#model", Input).value == "yolo11n.pt"
|
assert data["dataset"] == "coco8.yaml"
|
||||||
assert app.query_one("#dataset", Input).value == "coco8.yaml"
|
assert data["model"] == "yolo11n.pt"
|
||||||
assert app.query_one("#augmentation-enabled", Switch).value is True
|
assert data["augmentation"]["enabled"] is True
|
||||||
assert app.query_one("#mosaic", Input).value == "1.0"
|
assert data["mlflow"]["enabled"] is True
|
||||||
assert app.query_one("#auto-augment", Select).value == "randaugment"
|
|
||||||
assert app.query_one("#mlflow-enabled", Switch).value is True
|
|
||||||
assert app.query_one("#start-button", Button).disabled is False
|
|
||||||
assert app.query_one("#stop-button", Button).disabled is True
|
|
||||||
|
|
||||||
asyncio.run(exercise())
|
|
||||||
|
|
||||||
|
|
||||||
def test_augmentation_fields_follow_switch() -> None:
|
def test_get_status_idle() -> None:
|
||||||
async def exercise() -> None:
|
client = TestClient(app)
|
||||||
app = YoloTrainApp()
|
response = client.get("/api/train/status")
|
||||||
async with app.run_test(size=(140, 45)) as pilot:
|
assert response.status_code == 200
|
||||||
switch = app.query_one("#augmentation-enabled", Switch)
|
data = response.json()
|
||||||
switch.value = False
|
assert data["status"] == "idle"
|
||||||
await pilot.pause()
|
assert data["epoch"] == 0
|
||||||
|
assert data["total_epochs"] == 0
|
||||||
assert app.query_one("#mosaic", Input).disabled is True
|
assert isinstance(data["logs"], list)
|
||||||
assert app.query_one("#auto-augment", Select).disabled is True
|
|
||||||
|
|
||||||
asyncio.run(exercise())
|
|
||||||
|
|
||||||
|
|
||||||
def test_mlflow_fields_follow_switch() -> None:
|
def test_start_training_validation_error() -> None:
|
||||||
async def exercise() -> None:
|
client = TestClient(app)
|
||||||
app = YoloTrainApp()
|
# Empty dataset is invalid
|
||||||
async with app.run_test(size=(140, 45)) as pilot:
|
bad_config = {
|
||||||
switch = app.query_one("#mlflow-enabled", Switch)
|
"dataset": " ",
|
||||||
switch.value = False
|
"model": "yolo11n.pt",
|
||||||
await pilot.pause()
|
"task": "detect"
|
||||||
|
}
|
||||||
assert app.query_one("#tracking-uri", Input).disabled is True
|
response = client.post("/api/train/start", json=bad_config)
|
||||||
assert app.query_one("#experiment-name", Input).disabled is True
|
assert response.status_code == 400
|
||||||
|
assert "Укажите путь или имя датасета" in response.json()["detail"]
|
||||||
asyncio.run(exercise())
|
|
||||||
|
|
||||||
|
|
||||||
def test_read_config_ignores_disabled_augmentation() -> None:
|
def test_stop_training_when_idle() -> None:
|
||||||
async def exercise() -> None:
|
client = TestClient(app)
|
||||||
app = YoloTrainApp()
|
response = client.post("/api/train/stop")
|
||||||
async with app.run_test(size=(140, 45)) as pilot:
|
assert response.status_code == 200
|
||||||
app.query_one("#augmentation-enabled", Switch).value = False
|
assert "Запрос на остановку отправлен" in response.json()["message"]
|
||||||
app.query_one("#hsv-h", Input).value = "not a number"
|
|
||||||
await pilot.pause()
|
|
||||||
|
|
||||||
config = app._read_config()
|
|
||||||
assert config.augmentation.enabled is False
|
|
||||||
# When disabled, config.augmentation uses defaults, doesn't parse from UI input
|
|
||||||
assert config.augmentation.hsv_h == AugmentationConfig(enabled=False).hsv_h
|
|
||||||
|
|
||||||
asyncio.run(exercise())
|
|
||||||
|
|
||||||
|
|
||||||
def test_split_fields_follow_switch() -> None:
|
def test_sessions_flow(monkeypatch, tmp_path) -> None:
|
||||||
async def exercise() -> None:
|
client = TestClient(app)
|
||||||
app = YoloTrainApp()
|
# Patch sessions directory to use tmp_path
|
||||||
async with app.run_test(size=(140, 45)) as pilot:
|
monkeypatch.setattr("yolo_webui.app.get_sessions_dir", lambda: tmp_path)
|
||||||
assert app.query_one("#split-ratio", Input).disabled is True
|
|
||||||
assert app.query_one("#split-classes", Input).disabled is True
|
|
||||||
|
|
||||||
app.query_one("#split-enabled", Switch).value = True
|
# 1. Get empty sessions list
|
||||||
await pilot.pause()
|
response = client.get("/api/sessions")
|
||||||
|
assert response.status_code == 200
|
||||||
|
assert response.json() == []
|
||||||
|
|
||||||
assert app.query_one("#split-ratio", Input).disabled is False
|
# 2. Save a session
|
||||||
assert app.query_one("#split-classes", Input).disabled is False
|
config = {
|
||||||
|
"dataset": "coco8.yaml",
|
||||||
|
"model": "yolo11n.pt",
|
||||||
|
"task": "detect"
|
||||||
|
}
|
||||||
|
response = client.post("/api/sessions/my_session", json=config)
|
||||||
|
assert response.status_code == 200
|
||||||
|
assert "успешно сохранена" in response.json()["message"]
|
||||||
|
|
||||||
asyncio.run(exercise())
|
# 3. List sessions should contain 'my_session'
|
||||||
|
response = client.get("/api/sessions")
|
||||||
|
assert response.json() == ["my_session"]
|
||||||
|
|
||||||
|
# 4. Load session
|
||||||
|
response = client.get("/api/sessions/my_session")
|
||||||
|
assert response.status_code == 200
|
||||||
|
assert response.json()["dataset"] == "coco8.yaml"
|
||||||
|
|
||||||
def test_read_config_ignores_disabled_split() -> None:
|
# 5. Delete session
|
||||||
async def exercise() -> None:
|
response = client.delete("/api/sessions/my_session")
|
||||||
app = YoloTrainApp()
|
assert response.status_code == 200
|
||||||
async with app.run_test(size=(140, 45)) as pilot:
|
assert "удалена" in response.json()["message"]
|
||||||
app.query_one("#split-enabled", Switch).value = False
|
|
||||||
app.query_one("#split-ratio", Input).value = "not a float"
|
|
||||||
await pilot.pause()
|
|
||||||
|
|
||||||
config = app._read_config()
|
# 6. List sessions should be empty again
|
||||||
assert config.split.enabled is False
|
response = client.get("/api/sessions")
|
||||||
assert config.split.train_ratio == DatasetSplitConfig(enabled=False).train_ratio
|
assert response.json() == []
|
||||||
|
|
||||||
asyncio.run(exercise())
|
# 7. Loading nonexistent session should return 404
|
||||||
|
response = client.get("/api/sessions/nonexistent")
|
||||||
|
assert response.status_code == 404
|
||||||
def test_classify_disables_detection_style_split() -> None:
|
|
||||||
async def exercise() -> None:
|
|
||||||
app = YoloTrainApp()
|
|
||||||
async with app.run_test(size=(140, 45)) as pilot:
|
|
||||||
app.query_one("#split-enabled", Switch).value = True
|
|
||||||
await pilot.pause()
|
|
||||||
|
|
||||||
app.query_one("#task", Select).value = "classify"
|
|
||||||
await pilot.pause()
|
|
||||||
|
|
||||||
assert app.query_one("#split-enabled", Switch).value is False
|
|
||||||
assert app.query_one("#split-enabled", Switch).disabled is True
|
|
||||||
assert app.query_one("#split-ratio", Input).disabled is True
|
|
||||||
assert app.query_one("#split-classes", Input).disabled is True
|
|
||||||
|
|
||||||
asyncio.run(exercise())
|
|
||||||
|
|
|
||||||
|
|
@ -4,8 +4,8 @@ import os
|
||||||
|
|
||||||
import pytest
|
import pytest
|
||||||
|
|
||||||
from yolo_tui.config import AugmentationConfig, DatasetSplitConfig, MlflowConfig, TrainingConfig
|
from yolo_webui.config import AugmentationConfig, DatasetSplitConfig, MlflowConfig, TrainingConfig
|
||||||
from yolo_tui.trainer import TrainingRunner, mlflow_environment
|
from yolo_webui.trainer import TrainingRunner, mlflow_environment
|
||||||
|
|
||||||
|
|
||||||
def test_train_kwargs_omit_optional_empty_values() -> None:
|
def test_train_kwargs_omit_optional_empty_values() -> None:
|
||||||
|
|
@ -23,7 +23,7 @@ def test_train_kwargs_omit_optional_empty_values() -> None:
|
||||||
"workers": 8,
|
"workers": 8,
|
||||||
"patience": 100,
|
"patience": 100,
|
||||||
"project": "runs/train",
|
"project": "runs/train",
|
||||||
"verbose": False,
|
"verbose": True,
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -5,7 +5,7 @@ from pathlib import Path
|
||||||
import pytest
|
import pytest
|
||||||
import yaml
|
import yaml
|
||||||
|
|
||||||
from yolo_tui.dataset_splitter import read_classes, split_dataset
|
from yolo_webui.dataset_splitter import read_classes, split_dataset
|
||||||
|
|
||||||
|
|
||||||
def test_read_classes_custom_path(tmp_path: Path) -> None:
|
def test_read_classes_custom_path(tmp_path: Path) -> None:
|
||||||
|
|
@ -142,7 +142,7 @@ def test_split_dataset_rejects_single_image_without_writing_output(
|
||||||
with pytest.raises(ValueError, match="минимум 2"):
|
with pytest.raises(ValueError, match="минимум 2"):
|
||||||
split_dataset(str(tmp_path), 0.8, "")
|
split_dataset(str(tmp_path), 0.8, "")
|
||||||
|
|
||||||
assert not (tmp_path / ".yolo-tui").exists()
|
assert not (tmp_path / ".yolo-webui").exists()
|
||||||
|
|
||||||
|
|
||||||
def test_split_dataset_finds_nested_images_and_labels(tmp_path: Path) -> None:
|
def test_split_dataset_finds_nested_images_and_labels(tmp_path: Path) -> None:
|
||||||
|
|
@ -192,3 +192,36 @@ def test_split_dataset_preserves_existing_split_files(tmp_path: Path) -> None:
|
||||||
assert (user_split / "train.txt").read_text(encoding="utf-8") == "user data\n"
|
assert (user_split / "train.txt").read_text(encoding="utf-8") == "user data\n"
|
||||||
assert first_yaml.parent != second_yaml.parent
|
assert first_yaml.parent != second_yaml.parent
|
||||||
assert user_split not in first_yaml.parents
|
assert user_split not in first_yaml.parents
|
||||||
|
|
||||||
|
|
||||||
|
def test_split_dataset_preserves_custom_yaml_keys(tmp_path: Path) -> None:
|
||||||
|
images_dir = tmp_path / "images"
|
||||||
|
labels_dir = tmp_path / "labels"
|
||||||
|
images_dir.mkdir()
|
||||||
|
labels_dir.mkdir()
|
||||||
|
for index in range(2):
|
||||||
|
(images_dir / f"image-{index}.jpg").write_bytes(b"")
|
||||||
|
(labels_dir / f"image-{index}.txt").write_text(
|
||||||
|
"0 0.5 0.5 0.2 0.2\n",
|
||||||
|
encoding="utf-8",
|
||||||
|
)
|
||||||
|
|
||||||
|
# Write a dataset YAML containing custom keys like kpt_shape
|
||||||
|
dataset_yaml = tmp_path / "my_config.yaml"
|
||||||
|
dataset_yaml.write_text(
|
||||||
|
yaml.dump({
|
||||||
|
"names": {0: "person"},
|
||||||
|
"kpt_shape": [5, 3],
|
||||||
|
"flip_idx": [0, 2, 1, 4, 3],
|
||||||
|
}),
|
||||||
|
encoding="utf-8",
|
||||||
|
)
|
||||||
|
|
||||||
|
# Run split specifying our YAML as the classes path
|
||||||
|
_, _, out_yaml_path = split_dataset(str(tmp_path), 0.5, str(dataset_yaml))
|
||||||
|
|
||||||
|
with open(out_yaml_path, "r", encoding="utf-8") as f:
|
||||||
|
data = yaml.safe_load(f)
|
||||||
|
assert data["kpt_shape"] == [5, 3]
|
||||||
|
assert data["flip_idx"] == [0, 2, 1, 4, 3]
|
||||||
|
assert data["names"] == {0: "person"}
|
||||||
|
|
|
||||||
|
|
@ -4,7 +4,7 @@ import json
|
||||||
from pathlib import Path
|
from pathlib import Path
|
||||||
from typing import Any
|
from typing import Any
|
||||||
|
|
||||||
from yolo_tui import subprocess_runner
|
from yolo_webui import subprocess_runner
|
||||||
|
|
||||||
|
|
||||||
class FakeRunner:
|
class FakeRunner:
|
||||||
|
|
@ -45,8 +45,8 @@ def test_main_returns_zero_after_successful_training(
|
||||||
output = capsys.readouterr()
|
output = capsys.readouterr()
|
||||||
assert return_code == 0
|
assert return_code == 0
|
||||||
assert runner.prepared is True
|
assert runner.prepared is True
|
||||||
assert "__YOLO_TUI_READY__" in output.out
|
assert "__YOLO_WEBUI_READY__" in output.out
|
||||||
assert "__YOLO_TUI_RESULT__:/tmp/successful-run" in output.out
|
assert "__YOLO_WEBUI_RESULT__:/tmp/successful-run" in output.out
|
||||||
assert "Traceback" not in output.err
|
assert "Traceback" not in output.err
|
||||||
|
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -6,8 +6,8 @@ from pathlib import Path
|
||||||
from types import ModuleType, SimpleNamespace
|
from types import ModuleType, SimpleNamespace
|
||||||
from typing import Any
|
from typing import Any
|
||||||
|
|
||||||
from yolo_tui.config import MlflowConfig, TrainingConfig
|
from yolo_webui.config import MlflowConfig, TrainingConfig
|
||||||
from yolo_tui.trainer import TrainingEvent, TrainingRunner
|
from yolo_webui.trainer import TrainingEvent, TrainingRunner
|
||||||
|
|
||||||
|
|
||||||
class FakeProcess:
|
class FakeProcess:
|
||||||
|
|
@ -81,10 +81,10 @@ def test_runner_wires_yolo_callbacks_and_returns_output(
|
||||||
output = TrainingRunner().train(config, events.append)
|
output = TrainingRunner().train(config, events.append)
|
||||||
|
|
||||||
assert output == tmp_path / "run"
|
assert output == tmp_path / "run"
|
||||||
assert constructed == [("model.pt", "pose")]
|
assert constructed == [("models/model.pt", "pose")]
|
||||||
assert settings_updates == [{"mlflow": False}]
|
assert settings_updates == [{"mlflow": False}]
|
||||||
assert train_arguments[0]["data"] == "dataset.yaml"
|
assert train_arguments[0]["data"] == "dataset.yaml"
|
||||||
assert train_arguments[0]["verbose"] is False
|
assert train_arguments[0]["verbose"] is True
|
||||||
assert [event.kind for event in events] == ["info", "started", "epoch", "epoch", "success"]
|
assert [event.kind for event in events] == ["info", "started", "epoch", "epoch", "success"]
|
||||||
|
|
||||||
|
|
||||||
|
|
|
||||||
243
uv.lock
generated
243
uv.lock
generated
|
|
@ -1049,7 +1049,7 @@ name = "gunicorn"
|
||||||
version = "26.0.0"
|
version = "26.0.0"
|
||||||
source = { registry = "https://pypi.org/simple" }
|
source = { registry = "https://pypi.org/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "packaging" },
|
{ name = "packaging", marker = "sys_platform != 'win32'" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://files.pythonhosted.org/packages/6d/b7/a4a3f632f823e432ce6bc65f62961b7980c898c77f075a2f7118cb3846fe/gunicorn-26.0.0.tar.gz", hash = "sha256:ca9346f85e3a4aeeb64d491045c16b9a35647abd37ea15efe53080eb8b090baf", size = 727286, upload-time = "2026-05-05T06:38:25.529Z" }
|
sdist = { url = "https://files.pythonhosted.org/packages/6d/b7/a4a3f632f823e432ce6bc65f62961b7980c898c77f075a2f7118cb3846fe/gunicorn-26.0.0.tar.gz", hash = "sha256:ca9346f85e3a4aeeb64d491045c16b9a35647abd37ea15efe53080eb8b090baf", size = 727286, upload-time = "2026-05-05T06:38:25.529Z" }
|
||||||
wheels = [
|
wheels = [
|
||||||
|
|
@ -1065,6 +1065,34 @@ wheels = [
|
||||||
{ url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
|
{ url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
|
||||||
]
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "httpcore"
|
||||||
|
version = "1.0.9"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "certifi" },
|
||||||
|
{ name = "h11" },
|
||||||
|
]
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "httpx"
|
||||||
|
version = "0.28.1"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "anyio" },
|
||||||
|
{ name = "certifi" },
|
||||||
|
{ name = "httpcore" },
|
||||||
|
{ name = "idna" },
|
||||||
|
]
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" },
|
||||||
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "huey"
|
name = "huey"
|
||||||
version = "3.2.1"
|
version = "3.2.1"
|
||||||
|
|
@ -1240,18 +1268,6 @@ wheels = [
|
||||||
{ url = "https://files.pythonhosted.org/packages/0a/dd/8050c947d435c8d4bc94e3252f4d8bb8a76cfb424f043a8680be637a57f1/kiwisolver-1.5.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:59cd8683f575d96df5bb48f6add94afc055012c29e28124fcae2b63661b9efb1", size = 73558, upload-time = "2026-03-09T13:15:52.112Z" },
|
{ url = "https://files.pythonhosted.org/packages/0a/dd/8050c947d435c8d4bc94e3252f4d8bb8a76cfb424f043a8680be637a57f1/kiwisolver-1.5.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:59cd8683f575d96df5bb48f6add94afc055012c29e28124fcae2b63661b9efb1", size = 73558, upload-time = "2026-03-09T13:15:52.112Z" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "linkify-it-py"
|
|
||||||
version = "2.1.0"
|
|
||||||
source = { registry = "https://pypi.org/simple" }
|
|
||||||
dependencies = [
|
|
||||||
{ name = "uc-micro-py" },
|
|
||||||
]
|
|
||||||
sdist = { url = "https://files.pythonhosted.org/packages/2e/c9/06ea13676ef354f0af6169587ae292d3e2406e212876a413bf9eece4eb23/linkify_it_py-2.1.0.tar.gz", hash = "sha256:43360231720999c10e9328dc3691160e27a718e280673d444c38d7d3aaa3b98b", size = 29158, upload-time = "2026-03-01T07:48:47.683Z" }
|
|
||||||
wheels = [
|
|
||||||
{ url = "https://files.pythonhosted.org/packages/b4/de/88b3be5c31b22333b3ca2f6ff1de4e863d8fe45aaea7485f591970ec1d3e/linkify_it_py-2.1.0-py3-none-any.whl", hash = "sha256:0d252c1594ecba2ecedc444053db5d3a9b7ec1b0dd929c8f1d74dce89f86c05e", size = 19878, upload-time = "2026-03-01T07:48:46.098Z" },
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "mako"
|
name = "mako"
|
||||||
version = "1.3.12"
|
version = "1.3.12"
|
||||||
|
|
@ -1264,23 +1280,6 @@ wheels = [
|
||||||
{ url = "https://files.pythonhosted.org/packages/bc/b1/a0ec7a5a9db730a08daef1fdfb8090435b82465abbf758a596f0ea88727e/mako-1.3.12-py3-none-any.whl", hash = "sha256:8f61569480282dbf557145ce441e4ba888be453c30989f879f0d652e39f53ea9", size = 78521, upload-time = "2026-04-28T19:01:10.393Z" },
|
{ url = "https://files.pythonhosted.org/packages/bc/b1/a0ec7a5a9db730a08daef1fdfb8090435b82465abbf758a596f0ea88727e/mako-1.3.12-py3-none-any.whl", hash = "sha256:8f61569480282dbf557145ce441e4ba888be453c30989f879f0d652e39f53ea9", size = 78521, upload-time = "2026-04-28T19:01:10.393Z" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "markdown-it-py"
|
|
||||||
version = "4.2.0"
|
|
||||||
source = { registry = "https://pypi.org/simple" }
|
|
||||||
dependencies = [
|
|
||||||
{ name = "mdurl" },
|
|
||||||
]
|
|
||||||
sdist = { url = "https://files.pythonhosted.org/packages/06/ff/7841249c247aa650a76b9ee4bbaeae59370dc8bfd2f6c01f3630c35eb134/markdown_it_py-4.2.0.tar.gz", hash = "sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49", size = 82454, upload-time = "2026-05-07T12:08:28.36Z" }
|
|
||||||
wheels = [
|
|
||||||
{ url = "https://files.pythonhosted.org/packages/b3/81/4da04ced5a082363ecfa159c010d200ecbd959ae410c10c0264a38cac0f5/markdown_it_py-4.2.0-py3-none-any.whl", hash = "sha256:9f7ebbcd14fe59494226453aed97c1070d83f8d24b6fc3a3bcf9a38092641c4a", size = 91687, upload-time = "2026-05-07T12:08:27.182Z" },
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.optional-dependencies]
|
|
||||||
linkify = [
|
|
||||||
{ name = "linkify-it-py" },
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "markupsafe"
|
name = "markupsafe"
|
||||||
version = "3.0.3"
|
version = "3.0.3"
|
||||||
|
|
@ -1420,27 +1419,6 @@ wheels = [
|
||||||
{ url = "https://files.pythonhosted.org/packages/0c/d8/c4ecab06b7ea36a570c4f3bd2d48d1799fd5d9174470e45c2194199431e7/matplotlib-3.11.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cf662e5ac5707658cb931e19972c4bd99f7b4f8b7bf79d3c821d239fa6b71e64", size = 10015653, upload-time = "2026-06-12T02:29:13.251Z" },
|
{ url = "https://files.pythonhosted.org/packages/0c/d8/c4ecab06b7ea36a570c4f3bd2d48d1799fd5d9174470e45c2194199431e7/matplotlib-3.11.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cf662e5ac5707658cb931e19972c4bd99f7b4f8b7bf79d3c821d239fa6b71e64", size = 10015653, upload-time = "2026-06-12T02:29:13.251Z" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "mdit-py-plugins"
|
|
||||||
version = "0.6.1"
|
|
||||||
source = { registry = "https://pypi.org/simple" }
|
|
||||||
dependencies = [
|
|
||||||
{ name = "markdown-it-py" },
|
|
||||||
]
|
|
||||||
sdist = { url = "https://files.pythonhosted.org/packages/59/fc/f8d0863f8862f25602c0404d75568e89fb6b4109804645e5cdfb1be5cf56/mdit_py_plugins-0.6.1.tar.gz", hash = "sha256:a2bca0f039f39dbd35fb74ae1b5f998608c437463371f0ff7f49a19a17a114d0", size = 56114, upload-time = "2026-05-13T09:03:38.91Z" }
|
|
||||||
wheels = [
|
|
||||||
{ url = "https://files.pythonhosted.org/packages/a5/69/6da5581c6a7fede7dc261bf4e67d6adca4196f176b43288b55b3db395b6e/mdit_py_plugins-0.6.1-py3-none-any.whl", hash = "sha256:214c82fb2ac524472ab6a5bcab1de80f73b50443e187f401bfd77efbc7c6481d", size = 66663, upload-time = "2026-05-13T09:03:37.76Z" },
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "mdurl"
|
|
||||||
version = "0.1.2"
|
|
||||||
source = { registry = "https://pypi.org/simple" }
|
|
||||||
sdist = { url = "https://files.pythonhosted.org/packages/d6/54/cfe61301667036ec958cb99bd3efefba235e65cdeb9c84d24a8293ba1d90/mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba", size = 8729, upload-time = "2022-08-14T12:40:10.846Z" }
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|
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{ url = "https://files.pythonhosted.org/packages/07/5a/262ad5fcaef4198997b165060f09a63f861e76939b1786ab546ccc3f8120/websockets-16.1-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:d0f38f4c3e9b359e257c339c2cc1967ccaeedb102e57c1c986bdce4bf4f32268", size = 180166, upload-time = "2026-07-10T06:32:23.278Z" },
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{ url = "https://files.pythonhosted.org/packages/1a/c7/36377db690f4292826e4501a6dec2801dc55fd1cf0405923b04937e478df/websockets-16.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:3c3d2cbd1602593bad49bd86fa3fbb25407d87a3b4bf8857c0ac5ac4914e1901", size = 177697, upload-time = "2026-07-10T06:32:25.164Z" },
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{ url = "https://files.pythonhosted.org/packages/fa/c7/07171abce1e39799a76f473608580fe98bd43a1230f5146159622c02bccf/websockets-16.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:36069b74671e7e667f48a7484249f84c45a825a134c8b1bdc01875d0daa10d79", size = 177902, upload-time = "2026-07-10T06:32:26.564Z" },
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{ url = "https://files.pythonhosted.org/packages/14/17/c831f48e250bc4749f57c00dcce73337c41cd32f6d59a64567b84e782601/websockets-16.1-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:587f83c2ce8a5d628e166384d77fa7f0ac69b9007d515ab442123e6615aa8da3", size = 187766, upload-time = "2026-07-10T06:32:27.981Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/2c/2e/4dfe63e245b0ecfaf470cf082d25c6ce35808159135fd88c82653a6b11ab/websockets-16.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a6db7972d52bc1b66cefe2246902e256cbaebc9ba8a45eac09343d7eb6671b2", size = 188939, upload-time = "2026-07-10T06:32:29.365Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/ba/e5/5faf65aebd9562f6b4bc473d24ce38cc56f84eb5f5bee66ed9b86733f93c/websockets-16.1-cp314-cp314t-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:e7d6014888a0632e1ed7a4095248bb3095232999447f2d83bfb1900987dd9ed9", size = 191081, upload-time = "2026-07-10T06:32:30.868Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/49/cd/2634f2f2c0556c1aae6501ed6840019cc569dd6fdbcac6494378daea4dc0/websockets-16.1-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9cb074d150e4ad2a77aa8a332c2be85f3f64f2681519d2570c1225c12c9821ff", size = 189513, upload-time = "2026-07-10T06:32:32.399Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/59/bb/2c700b51196104f09715b326b1f092ed25326bdf79a03e00a4842e503743/websockets-16.1-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d19c9067e1fe9490f974bffbc0e443b80a7674c5efb4980c429cc00771f07c5a", size = 188240, upload-time = "2026-07-10T06:32:33.897Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/f1/20/86283636e499a1a357fa9441f690ba34f255e731f2fea174132b3b762b57/websockets-16.1-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:d440ff0c6c7469ad59c0a412c383c235935b43635e89425e3f6a0c36de90c31b", size = 185955, upload-time = "2026-07-10T06:32:35.279Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/91/23/d7fb734b0095d43bc7f1c9f68afd50adb4176e7e513403e8c70ad7daa4fa/websockets-16.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:8613129a2533f08de24505e69a3e403cedaadae49abdb043c4d170ca71b7e4bd", size = 188491, upload-time = "2026-07-10T06:32:36.673Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/6a/5e/168a192689db468405ecf3b8e4a2c18811936b0724d017ad7e6d252734f0/websockets-16.1-cp314-cp314t-musllinux_1_2_armv7l.whl", hash = "sha256:a5bf9c23f197b4ec88290fd5463f33db67362a1bb10f85fc2e8e7627f0ddab97", size = 186983, upload-time = "2026-07-10T06:32:38.207Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/7e/9b/66795fa91ebe49019ebe4fa910282172252e37046b80e08fc52e0c365150/websockets-16.1-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:520b0fd0395f075febb283c76755af724ab9fd19dffa4f3bfd18cb4e622790a3", size = 188890, upload-time = "2026-07-10T06:32:39.545Z" },
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|
{ url = "https://files.pythonhosted.org/packages/5a/32/126bbc844be5afb3613fd43211dac10a9645f4cf39741d04acaa2ec7030c/websockets-16.1-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:7143aa09a67e1c013be44e81a88dfe90fc6244198ab86c7edd064152cf619805", size = 186583, upload-time = "2026-07-10T06:32:41.038Z" },
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|
{ url = "https://files.pythonhosted.org/packages/22/b9/0b5db9cbcf6e4970db4496893244a8d92e07f71a8ef27cf34b08aa02fef1/websockets-16.1-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:7acb811fad08e611755800d1560e395c67e11a6bd563598ea6abb319afb86938", size = 187353, upload-time = "2026-07-10T06:32:42.501Z" },
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|
{ url = "https://files.pythonhosted.org/packages/99/2e/254b2131a10d831b76e2c18dfe7add9729c6292c674a8085bf8de01ad151/websockets-16.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:c5cf88e3faa2f7931bc6baeee7599c97656a3f6ac7f831f4fccba233e141783a", size = 187784, upload-time = "2026-07-10T06:32:43.929Z" },
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|
{ url = "https://files.pythonhosted.org/packages/21/dc/e7288aa8e3ac5a88a0924619984d663c1abf2a87d0ea98290c66fdaee0ec/websockets-16.1-cp314-cp314t-win32.whl", hash = "sha256:589f8842521c8307684ce0b40ce4ad70c5e0aa46484c6f1225a94ef4b8970341", size = 179947, upload-time = "2026-07-10T06:32:45.495Z" },
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|
{ url = "https://files.pythonhosted.org/packages/d3/de/37edf1260ff0fbbd2f82433489c4cfbe799ac2ff21355331609879329fe6/websockets-16.1-cp314-cp314t-win_amd64.whl", hash = "sha256:2c0e0857c30bbbc2bb5c30687508f0b7ec19aa026cd9f2ff8424d0fee42dcc07", size = 180291, upload-time = "2026-07-10T06:32:47.119Z" },
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{ url = "https://files.pythonhosted.org/packages/4d/f4/84ef884775bbe77c46cce79bc7d705ea3bc6574cc00acf81af89754c077d/websockets-16.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7289d899c79e763e6221c8dcb8959361cb43274418538d7c7ad16a43b01d12f9", size = 177387, upload-time = "2026-07-10T06:32:48.574Z" },
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|
{ url = "https://files.pythonhosted.org/packages/d3/d9/6831ec6f65e1eeac770375f4f4b604f23df9bafaa1b47004bc5f9488d513/websockets-16.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:e22e9e3719f5131bd62da4db63c8da63eb8c91cc99e16c1cbd122f130e1ae07a", size = 177663, upload-time = "2026-07-10T06:32:50.043Z" },
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|
{ url = "https://files.pythonhosted.org/packages/9d/d4/21d4922fa7fe855813a8b38f181a0ecf02a586e16c1f095fd05471f78cc2/websockets-16.1-pp311-pypy311_pp73-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:83bdabafef431247e6b11a9aab8a0893fd8e82e1ed95b32e0373625b03ffce4a", size = 178501, upload-time = "2026-07-10T06:32:51.439Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/91/87/7a0320df854dacd09507ca972cb04a4dc5aae279583cc5b80ad5f5819533/websockets-16.1-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b8d13ceabc5c60995f201b5211d76876e17e68706ebf5d3bc666b32eefff1a6", size = 179397, upload-time = "2026-07-10T06:32:52.892Z" },
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||||||
|
{ url = "https://files.pythonhosted.org/packages/31/6a/0da1eb8c8da2ace7b578c8523d32618af85e62a9ebad56051d4a14a38a1c/websockets-16.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:81495f9c0085361c582efbc3207fb877174cfe03370f17d9cd70624404aa526f", size = 180546, upload-time = "2026-07-10T06:32:54.619Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/66/58/bd83247f39ddc26ffc2c24eb05087a3b749e00cb4509fc6d19daa23c8495/websockets-16.1-py3-none-any.whl", hash = "sha256:c5149dfe490ec7e5ee5dbf624c642fb725f93a5575c7f00ab594ca9eddb8dd81", size = 174031, upload-time = "2026-07-10T06:32:56.079Z" },
|
||||||
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "werkzeug"
|
name = "werkzeug"
|
||||||
version = "3.1.8"
|
version = "3.1.8"
|
||||||
|
|
@ -3421,29 +3450,37 @@ wheels = [
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "yolo-train-tui"
|
name = "yolo-train-webui"
|
||||||
version = "0.1.0"
|
version = "0.1.0"
|
||||||
source = { editable = "." }
|
source = { editable = "." }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
|
{ name = "fastapi" },
|
||||||
{ name = "mlflow" },
|
{ name = "mlflow" },
|
||||||
{ name = "textual" },
|
|
||||||
{ name = "ultralytics" },
|
{ name = "ultralytics" },
|
||||||
|
{ name = "uvicorn" },
|
||||||
|
{ name = "websockets" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dev-dependencies]
|
[package.dev-dependencies]
|
||||||
dev = [
|
dev = [
|
||||||
|
{ name = "httpx" },
|
||||||
{ name = "pytest" },
|
{ name = "pytest" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.metadata]
|
[package.metadata]
|
||||||
requires-dist = [
|
requires-dist = [
|
||||||
|
{ name = "fastapi", specifier = ">=0.110.0" },
|
||||||
{ name = "mlflow", specifier = ">=3.0" },
|
{ name = "mlflow", specifier = ">=3.0" },
|
||||||
{ name = "textual", specifier = ">=1.0" },
|
|
||||||
{ name = "ultralytics", specifier = ">=8.3" },
|
{ name = "ultralytics", specifier = ">=8.3" },
|
||||||
|
{ name = "uvicorn", specifier = ">=0.28.0" },
|
||||||
|
{ name = "websockets", specifier = ">=12.0" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.metadata.requires-dev]
|
[package.metadata.requires-dev]
|
||||||
dev = [{ name = "pytest", specifier = ">=8.3" }]
|
dev = [
|
||||||
|
{ name = "httpx" },
|
||||||
|
{ name = "pytest", specifier = ">=8.3" },
|
||||||
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "zipp"
|
name = "zipp"
|
||||||
|
|
|
||||||
Loading…
Add table
Reference in a new issue