Update docker-compose.yml

.agents/PROJECT_CONTEXT.md

@@ -352,8 +352,8 @@ auto_augment=randaugment
 
 Вероятности и доли валидируются в диапазоне `0…1`; `degrees`, `shear` и
 `close_mosaic` не могут быть отрицательными. Режимы copy-paste: `flip`, `mixup`.
-Политики AutoAugment: `randaugment`, `autoaugment`, `augmix`. Если augmentation
+Политики AutoAugment: `none` (отключено), `randaugment`, `autoaugment`, `augmix`. Если augmentation
-выключена, эти kwargs вообще не передаются в Ultralytics.
+выключена, эти kwargs вообще не передаются в Ultralytics. При `auto_augment="none"` параметр транслируется в `None` для Ultralytics.
 
 ## 10. Работа с датасетами
 

Dockerfile

@@ -1,37 +1,22 @@
-FROM python:3.11-slim
+FROM ultralytics/ultralytics:latest
 
-# Install system dependencies needed for OpenCV, PyTorch, and Ultralytics
+# The ultralytics image already has python, system dependencies, PyTorch, TensorRT, and ultralytics installed.
-RUN apt-get update && apt-get install -y --no-install-recommends \
+# We just need to install uv and our project dependencies.
-    build-essential \
-    libgl1 \
-    libglib2.0-0 \
-    libgomp1 \
-    git \
-    && rm -rf /var/lib/apt/lists/*
 
-# Pin the installer as well as application dependencies.
+# Pin the installer
 RUN pip install --no-cache-dir uv==0.10.6
 
 # Set working directory
 WORKDIR /workspace
 
-ENV UV_COMPILE_BYTECODE=1 \
+# Install our dependencies into the system python without resolving/syncing
-    UV_LINK_MODE=copy \
+# which would remove packages installed by ultralytics base image (like tensorrt).
-    UV_PROJECT_ENVIRONMENT=/opt/venv \
+COPY pyproject.toml README.md ./
-    ULTRALYTICS_SAFE_LOAD=1
+RUN uv pip install --system fastapi mlflow uvicorn websockets
 
-# Install the exact dependency set recorded in uv.lock. Keeping the project out of
+# Copy source code and install the project
-# this layer allows dependency caching while source files change.
-COPY pyproject.toml uv.lock README.md ./
-RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --locked --no-dev --no-install-project
-
-# Copy source code and install the project without re-resolving dependencies.
 COPY src ./src
-RUN --mount=type=cache,target=/root/.cache/uv \
+RUN uv pip install --system -e .
-    uv sync --locked --no-dev
-
-ENV PATH="/opt/venv/bin:$PATH"
 
 # Expose Web UI port and MLflow port
 EXPOSE 8000

docker-compose.yml

@@ -5,18 +5,19 @@ services:
     image: yolo-train-webui:latest
     ports:
       # The training API has no built-in user accounts, so expose it locally only.
-      - "127.0.0.1:8000:8000"
+      - "0.0.0.0:8000:8000"
     volumes:
       - ./datasets:/workspace/datasets
       - ./runs:/workspace/runs
       - ./models:/workspace/models
       - ./models/.config:/root/.config/Ultralytics
     # Uncomment the block below on Linux with NVIDIA GPU to pass the graphics card into the container:
-    # deploy:
+    deploy:
-    #   resources:
+      resources:
-    #     reservations:
+        reservations:
-    #       devices:
+          devices:
-    #         - driver: nvidia
+            - driver: nvidia
-    #           count: all
+              count: all
-    #           capabilities: [gpu]
+              capabilities: [gpu]
+    ipc: host
     restart: unless-stopped

pyproject.toml

@@ -3,7 +3,7 @@ name = "yolo-train-webui"
 version = "0.1.0"
 description = "Web UI for training Ultralytics YOLO models with MLflow tracking"
 readme = "README.md"
-requires-python = ">=3.11"
+requires-python = ">=3.10"
 dependencies = [
     "fastapi>=0.110.0",
     "mlflow>=3.0",

src/yolo_webui/app.py

@@ -410,20 +410,40 @@ async def list_datasets():
 
 @app.get("/api/models")
 async def list_models():
-    models_dir = Path("models")
-    if not models_dir.exists():
-        return []
-    
     items = []
+    
+    # Check models directory
+    models_dir = Path("models")
+    if models_dir.exists():
         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()),
+                        "source": "models"
                     })
         except Exception as e:
-        logger.error(f"Failed to list models: {e}")
+            logger.error(f"Failed to list models in models/: {e}")
+
+    # Check runs directory for .pt and .pth files
+    runs_dir = Path("runs")
+    if runs_dir.exists():
+        try:
+            for path in runs_dir.rglob("*.pt"):
+                items.append({
+                    "name": f"{path.parent.parent.parent.name}/{path.parent.parent.name}/{path.name}",
+                    "path": str(path.absolute()),
+                    "source": "runs"
+                })
+            for path in runs_dir.rglob("*.pth"):
+                items.append({
+                    "name": f"{path.parent.parent.parent.name}/{path.parent.parent.name}/{path.name}",
+                    "path": str(path.absolute()),
+                    "source": "runs"
+                })
+        except Exception as e:
+            logger.error(f"Failed to list models in runs/: {e}")
             
     return sorted(items, key=lambda x: x["name"])
 
@@ -508,6 +528,259 @@ async def stop_training():
     return {"message": "Запрос на остановку отправлен."}
 
 
+class ExportManager:
+    def __init__(self) -> None:
+        self.state = LiveState()
+        self.active_websockets: set[WebSocket] = set()
+        self._lock = threading.Lock()
+        self._thread: threading.Thread | None = None
+        self._event_loop: asyncio.AbstractEventLoop | None = None
+        self._broadcast_lock: asyncio.Lock | None = None
+        self._process: subprocess.Popen | None = None
+
+    def add_websocket(self, websocket: WebSocket) -> None:
+        loop = asyncio.get_running_loop()
+        with self._lock:
+            self.active_websockets.add(websocket)
+            if self._event_loop is not loop:
+                self._event_loop = loop
+                self._broadcast_lock = asyncio.Lock()
+
+    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)
+        with self._lock:
+            loop = self._event_loop
+            has_sockets = bool(self.active_websockets)
+
+        if not has_sockets:
+            return
+        if loop is None or loop.is_closed():
+            return
+
+        coroutine = self._send_payload(payload)
+        try:
+            try:
+                running_loop = asyncio.get_running_loop()
+            except RuntimeError:
+                running_loop = None
+
+            if running_loop is loop:
+                future = loop.create_task(coroutine)
+            else:
+                future = asyncio.run_coroutine_threadsafe(coroutine, loop)
+        except Exception:
+            coroutine.close()
+
+    async def _send_payload(self, payload: str) -> None:
+        broadcast_lock = self._broadcast_lock
+        if broadcast_lock is None:
+            return
+
+        async with broadcast_lock:
+            with self._lock:
+                sockets = list(self.active_websockets)
+
+            failed: list[WebSocket] = []
+            for websocket in sockets:
+                try:
+                    await websocket.send_text(payload)
+                except Exception:
+                    failed.append(websocket)
+
+            if failed:
+                with self._lock:
+                    for websocket in failed:
+                        self.active_websockets.discard(websocket)
+
+    def add_log(self, text: str, level: str = "info") -> None:
+        log_entry = f"__LOG_LEVEL_{level.upper()}__:{text}"
+        with self._lock:
+            self.state.logs.append(log_entry)
+        self.broadcast({"type": "log", "message": text, "level": level})
+
+    def start_export(self, config_data: dict[str, Any]) -> None:
+        with self._lock:
+            if self.state.status in ("preparing", "exporting", "stopping") or (
+                self._thread is not None and self._thread.is_alive()
+            ):
+                raise ValueError("Экспорт уже выполняется.")
+            
+            self.state.reset()
+            self.state.status = "preparing"
+            self._thread = threading.Thread(target=self._run_subprocess, args=(config_data,), daemon=True)
+            self._thread.start()
+
+        self.broadcast({"type": "status", "status": self.state.status})
+        self.add_log(f"Запуск экспорта: {config_data.get('model')} -> {config_data.get('format')}", "started")
+
+    def stop_export(self) -> None:
+        with self._lock:
+            if self.state.status not in ("preparing", "exporting"):
+                return
+            self.state.status = "stopping"
+            self.state.stop_requested = True
+            if self._process is not None:
+                try:
+                    self._process.terminate()
+                except Exception:
+                    pass
+        
+        self.broadcast({"type": "status", "status": self.state.status})
+        self.add_log("Запрошена остановка экспорта...", "warning")
+
+    def _run_subprocess(self, config_data: dict[str, Any]) -> None:
+        temp_config_path = None
+        try:
+            with tempfile.NamedTemporaryFile("w", suffix=".json", delete=False, encoding="utf-8") as f:
+                json.dump(config_data, f)
+                temp_config_path = f.name
+
+            cmd = [sys.executable, "-u", "-m", "yolo_webui.export_runner", temp_config_path]
+            with self._lock:
+                self._process = subprocess.Popen(
+                    cmd,
+                    stdout=subprocess.PIPE,
+                    stderr=subprocess.STDOUT,
+                    text=True,
+                    bufsize=1,
+                )
+
+            buffer = ""
+            while True:
+                char = self._process.stdout.read(1)
+                if not char:
+                    if buffer:
+                        self._handle_subprocess_line(buffer)
+                    break
+                
+                if char in ("\r", "\n"):
+                    if buffer:
+                        self._handle_subprocess_line(buffer)
+                    buffer = ""
+                else:
+                    buffer += char
+
+            self._process.wait()
+            rc = self._process.returncode
+            
+            with self._lock:
+                self._process = None
+                
+            self._finalize_process_result(rc)
+
+        except Exception as exc:
+            logger.exception("Error in export process thread:")
+            if self._process is not None:
+                try:
+                    if self._process.poll() is None:
+                        self._process.kill()
+                    self._process.wait(timeout=5)
+                except Exception:
+                    pass
+            
+            with self._lock:
+                self._process = None
+                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
+            with self._lock:
+                final_status = self.state.status
+                output_dir = self.state.output_dir
+            self.broadcast({"type": "status", "status": final_status, "output_dir": output_dir})
+
+    def _handle_subprocess_line(self, line_str: str) -> None:
+        line_str = line_str.strip()
+        if not line_str:
+            return
+
+        if line_str == "__YOLO_WEBUI_READY__":
+            with self._lock:
+                self.state.status = "exporting"
+            self.broadcast({"type": "status", "status": "exporting"})
+        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 _finalize_process_result(self, return_code: int) -> None:
+        with self._lock:
+            stopped = self.state.stop_requested
+
+        if stopped:
+            status = "cancelled"
+            message = "Экспорт остановлен пользователем."
+            level = "warning"
+        elif return_code == 0:
+            status = "succeeded"
+            message = "Экспорт успешно завершен."
+            level = "success"
+        else:
+            status = "failed"
+            message = "Процесс экспорта завершился с ошибкой."
+            level = "error"
+
+        with self._lock:
+            self.state.status = status
+        self.add_log(message, level)
+
+export_manager = ExportManager()
+
+@app.get("/api/export/status")
+async def get_export_status():
+    with export_manager._lock:
+        return {
+            "status": export_manager.state.status,
+            "output_dir": export_manager.state.output_dir,
+            "logs": export_manager.state.logs,
+        }
+
+@app.post("/api/export/start")
+async def start_export(config_data: dict[str, Any]):
+    try:
+        export_manager.start_export(config_data)
+        return {"message": "Экспорт запущен."}
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc))
+
+@app.post("/api/export/stop")
+async def stop_export():
+    export_manager.stop_export()
+    return {"message": "Запрос на остановку экспорта отправлен."}
+
+@app.websocket("/api/export/ws")
+async def export_websocket_endpoint(websocket: WebSocket):
+    await websocket.accept()
+    export_manager.add_websocket(websocket)
+    
+    with export_manager._lock:
+        state_dict = {
+            "type": "init",
+            "status": export_manager.state.status,
+            "output_dir": export_manager.state.output_dir,
+            "logs": [log.split(":", 1) for log in export_manager.state.logs if ":" in log],
+        }
+    try:
+        await websocket.send_text(json.dumps(state_dict))
+        while True:
+            await websocket.receive_text()
+    except WebSocketDisconnect:
+        pass
+    except Exception:
+        pass
+    finally:
+        export_manager.remove_websocket(websocket)
+
+
 @app.websocket("/api/ws")
 async def websocket_endpoint(websocket: WebSocket):
     await websocket.accept()

src/yolo_webui/config.py

@@ -8,7 +8,7 @@ from typing import Any, Literal
 
 
 YoloTask = Literal["detect", "segment", "classify", "pose", "obb"]
-AutoAugmentPolicy = Literal["randaugment", "autoaugment", "augmix"]
+AutoAugmentPolicy = Literal["none", "randaugment", "autoaugment", "augmix"]
 CopyPasteMode = Literal["flip", "mixup"]
 SUPPORTED_TASKS: tuple[YoloTask, ...] = (
     "detect",
@@ -18,6 +18,7 @@ SUPPORTED_TASKS: tuple[YoloTask, ...] = (
     "obb",
 )
 SUPPORTED_AUTO_AUGMENT_POLICIES: tuple[AutoAugmentPolicy, ...] = (
+    "none",
     "randaugment",
     "autoaugment",
     "augmix",
@@ -161,7 +162,7 @@ class AugmentationConfig:
             "cutmix": self.cutmix,
             "copy_paste": self.copy_paste,
             "copy_paste_mode": self.copy_paste_mode,
-            "auto_augment": self.auto_augment,
+            "auto_augment": None if self.auto_augment == "none" else self.auto_augment,
             "erasing": self.erasing,
             "close_mosaic": self.close_mosaic,
         }

src/yolo_webui/export_runner.py

@@ -0,0 +1,78 @@
+import json
+import os
+import sys
+import traceback
+from pathlib import Path
+
+# Force headless Matplotlib to avoid any thread/process GUI issues
+os.environ["MPLBACKEND"] = "Agg"
+
+def main() -> int:
+    args = sys.argv[1:]
+    if not args:
+        print(
+            "Usage: python -m yolo_webui.export_runner <config_json_path>",
+            file=sys.stderr,
+        )
+        return 1
+
+    config_path = Path(args[0])
+    
+    # The parent waits for this marker
+    print("__YOLO_WEBUI_READY__", flush=True)
+    
+    try:
+        with config_path.open("r", encoding="utf-8") as config_file:
+            config_dict = json.load(config_file)
+    except Exception as exc:
+        print(f"Error loading config: {exc}", file=sys.stderr)
+        return 1
+
+    model_path = config_dict.get("model")
+    export_format = config_dict.get("format", "onnx")
+    imgsz = config_dict.get("imgsz", 640)
+    half = config_dict.get("half", False)
+    int8 = config_dict.get("int8", False)
+    dynamic = config_dict.get("dynamic", False)
+    simplify = config_dict.get("simplify", False)
+    batch = config_dict.get("batch", 1)
+    workspace = config_dict.get("workspace", 4)
+
+    if not model_path or not Path(model_path).exists():
+        print(f"Model file not found: {model_path}")
+        return 1
+
+    try:
+        from ultralytics import YOLO
+        
+        print(f"Загрузка модели {model_path}...", flush=True)
+        model = YOLO(model_path)
+        
+        print(f"Запуск экспорта в формат {export_format}...", flush=True)
+        print(f"Параметры: imgsz={imgsz}, half={half}, int8={int8}, dynamic={dynamic}, simplify={simplify}, batch={batch}, workspace={workspace}", flush=True)
+        
+        exported_path = model.export(
+            format=export_format,
+            imgsz=imgsz,
+            half=half,
+            int8=int8,
+            dynamic=dynamic,
+            simplify=simplify,
+            batch=batch,
+            workspace=workspace
+        )
+        
+        print(f"Экспорт завершен успешно.", flush=True)
+        if exported_path:
+            # ultralytics returns either a single path (string) or list of paths depending on the format.
+            if isinstance(exported_path, list):
+                exported_path = exported_path[0]
+            print(f"__YOLO_WEBUI_RESULT__:{exported_path}", flush=True)
+        return 0
+    except Exception as e:
+        print(f"Ошибка при экспорте модели: {e}", flush=True)
+        traceback.print_exc()
+        return 1
+
+if __name__ == "__main__":
+    raise SystemExit(main())

src/yolo_webui/static/app.js

@@ -131,6 +131,32 @@ document.addEventListener('DOMContentLoaded', () => {
     let socket = null;
     let isTrainingActive = false;
 
+    // --- View Tab Switching ---
+    const viewBtns = document.querySelectorAll('.view-btn');
+    const views = document.querySelectorAll('.workspace-view');
+
+    viewBtns.forEach(btn => {
+        btn.addEventListener('click', () => {
+            viewBtns.forEach(b => b.classList.remove('active'));
+            views.forEach(v => {
+                v.classList.remove('active');
+            });
+
+            btn.classList.add('active');
+            const viewId = btn.dataset.view;
+            const view = document.getElementById(viewId);
+            view.classList.add('active');
+            
+            localStorage.setItem('active_workspace_view', viewId);
+        });
+    });
+
+    const savedView = localStorage.getItem('active_workspace_view');
+    if (savedView) {
+        const viewBtn = Array.from(viewBtns).find(b => b.dataset.view === savedView);
+        if (viewBtn) viewBtn.click();
+    }
+
     // --- Tab Switching ---
     tabs.forEach(tab => {
         tab.addEventListener('click', () => {
@@ -138,10 +164,13 @@ document.addEventListener('DOMContentLoaded', () => {
             tabContents.forEach(c => c.classList.remove('active'));
             
             tab.classList.add('active');
+            // Check if it's a sub-tab (has data-tab)
+            if (tab.dataset.tab) {
                 const contentId = `tab-${tab.dataset.tab}`;
-            document.getElementById(contentId).classList.add('active');
+                const content = document.getElementById(contentId);
-
+                if (content) content.classList.add('active');
                 localStorage.setItem('active_tab', tab.dataset.tab);
+            }
         });
     });
 
@@ -730,6 +759,7 @@ document.addEventListener('DOMContentLoaded', () => {
             const res = await fetch('/api/models');
             if (!res.ok) throw new Error();
             discoveredModels = await res.json();
+            updateExportModelOptions();
         } catch (e) {
             console.error("Failed to load models list:", e);
         }
@@ -737,6 +767,46 @@ document.addEventListener('DOMContentLoaded', () => {
 
     modelSelect.addEventListener('change', updateModelFieldsState);
 
+    // --- Export Model Selection ---
+    const exportModelSelect = document.getElementById('export-model-select');
+    const exportModelCustomWrapper = document.getElementById('export-model-custom-wrapper');
+    const exportModelInput = document.getElementById('export-model');
+
+    function updateExportModelOptions() {
+        exportModelSelect.innerHTML = '';
+        
+        if (discoveredModels.length > 0) {
+            const localGroup = document.createElement('optgroup');
+            localGroup.label = 'Локальные/обученные модели';
+            discoveredModels.forEach(m => {
+                const opt = document.createElement('option');
+                opt.value = m.path;
+                opt.textContent = m.source === 'runs' ? `[RUNS] ${m.name}` : m.name;
+                localGroup.appendChild(opt);
+            });
+            exportModelSelect.appendChild(localGroup);
+        }
+        
+        const customOpt = document.createElement('option');
+        customOpt.value = '__custom__';
+        customOpt.textContent = 'Указать путь вручную...';
+        exportModelSelect.appendChild(customOpt);
+        
+        updateExportModelFieldsState();
+    }
+
+    function updateExportModelFieldsState() {
+        const val = exportModelSelect.value;
+        if (val === '__custom__') {
+            exportModelCustomWrapper.style.display = 'block';
+        } else {
+            exportModelCustomWrapper.style.display = 'none';
+            exportModelInput.value = val;
+        }
+    }
+
+    exportModelSelect.addEventListener('change', updateExportModelFieldsState);
+
     sessionSelect.addEventListener('change', async () => {
         const name = sessionSelect.value;
         localStorage.setItem('selected_profile', name);
@@ -921,6 +991,181 @@ document.addEventListener('DOMContentLoaded', () => {
     `;
     document.head.appendChild(styleSheet);
 
+    // --- Export Logic ---
+    const exportStartBtn = document.getElementById('export-start-btn');
+    const exportStopBtn = document.getElementById('export-stop-btn');
+    const exportStatusCard = document.getElementById('export-status-card');
+    const exportStatusTitle = document.getElementById('export-status-title');
+    const exportStatusText = document.getElementById('export-status-text');
+    const exportLogContainer = document.getElementById('export-log-container');
+    const exportClearLogBtn = document.getElementById('export-clear-log-btn');
+    const exportAutoscrollCheck = document.getElementById('export-autoscroll');
+    
+    let isExportActive = false;
+    let exportSocket = null;
+
+    function addExportLogLine(message, level = 'info') {
+        const line = document.createElement('div');
+        line.className = `log-line log-level-${level.toLowerCase()}`;
+        line.textContent = message;
+        exportLogContainer.appendChild(line);
+        
+        if (exportAutoscrollCheck.checked) {
+            exportLogContainer.scrollTop = exportLogContainer.scrollHeight;
+        }
+    }
+
+    exportClearLogBtn.addEventListener('click', () => {
+        exportLogContainer.innerHTML = '';
+    });
+
+    function connectExportWebSocket() {
+        const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';
+        const wsUrl = `${protocol}//${window.location.host}/api/export/ws`;
+        
+        exportSocket = new WebSocket(wsUrl);
+        
+        exportSocket.onopen = () => {
+            addExportLogLine('Соединение с сервером установлено.', 'info');
+        };
+        
+        exportSocket.onclose = () => {
+            addExportLogLine('Соединение потеряно. Повторная попытка через 5 секунд...', 'warning');
+            setTimeout(connectExportWebSocket, 5000);
+        };
+        
+        exportSocket.onerror = (err) => {
+            console.error('Export WS Error:', err);
+        };
+        
+        exportSocket.onmessage = (event) => {
+            const data = JSON.parse(event.data);
+            
+            if (data.type === 'init') {
+                updateExportUIStatus(data.status);
+                exportLogContainer.innerHTML = '';
+                data.logs.forEach(([levelCode, msg]) => {
+                    const level = levelCode.replace('__LOG_LEVEL_', '').replace('__', '').toLowerCase();
+                    addExportLogLine(msg, level);
+                });
+            } else if (data.type === 'status') {
+                updateExportUIStatus(data.status);
+                if (data.output_dir) {
+                    addExportLogLine(`Результаты сохранены: ${data.output_dir}`, 'success');
+                }
+            } else if (data.type === 'log') {
+                addExportLogLine(data.message, data.level);
+            }
+        };
+    }
+
+    function updateExportUIStatus(status) {
+        exportStatusCard.className = `status-${status}`;
+        
+        switch (status) {
+            case 'idle':
+                exportStatusTitle.textContent = 'ГОТОВО К ЭКСПОРТУ';
+                exportStatusText.textContent = 'Выберите модель и формат для начала.';
+                isExportActive = false;
+                exportStartBtn.disabled = false;
+                exportStopBtn.disabled = true;
+                break;
+            case 'preparing':
+            case 'exporting':
+                exportStatusTitle.textContent = 'ЭКСПОРТ';
+                exportStatusText.textContent = 'Выполняется экспорт модели...';
+                isExportActive = true;
+                exportStartBtn.disabled = true;
+                exportStopBtn.disabled = false;
+                break;
+            case 'stopping':
+                exportStatusTitle.textContent = 'ОСТАНОВКА';
+                exportStatusText.textContent = 'Остановка процесса экспорта...';
+                isExportActive = true;
+                exportStartBtn.disabled = true;
+                exportStopBtn.disabled = true;
+                break;
+            case 'succeeded':
+                exportStatusTitle.textContent = 'ГОТОВО';
+                exportStatusText.textContent = 'Экспорт успешно завершен.';
+                isExportActive = false;
+                exportStartBtn.disabled = false;
+                exportStopBtn.disabled = true;
+                break;
+            case 'cancelled':
+                exportStatusTitle.textContent = 'ОСТАНОВЛЕНО';
+                exportStatusText.textContent = 'Экспорт остановлен пользователем.';
+                isExportActive = false;
+                exportStartBtn.disabled = false;
+                exportStopBtn.disabled = true;
+                break;
+            case 'failed':
+                exportStatusTitle.textContent = 'ОШИБКА';
+                exportStatusText.textContent = 'Экспорт завершился с ошибкой.';
+                isExportActive = false;
+                exportStartBtn.disabled = false;
+                exportStopBtn.disabled = true;
+                break;
+        }
+    }
+
+    async function startExport() {
+        if (isExportActive) return;
+        
+        const modelVal = document.getElementById('export-model').value.trim();
+        if (!modelVal) {
+            showNotification('Пожалуйста, выберите или укажите модель для экспорта.', 'warning');
+            return;
+        }
+
+        const config = {
+            model: modelVal,
+            format: document.getElementById('export-format').value,
+            imgsz: readNumber('export-imgsz', 640, true),
+            half: document.getElementById('export-half').checked,
+            int8: document.getElementById('export-int8').checked,
+            dynamic: document.getElementById('export-dynamic').checked,
+            simplify: document.getElementById('export-simplify').checked,
+            batch: readNumber('export-batch', 1, true),
+            workspace: readNumber('export-workspace', 4, true)
+        };
+
+        try {
+            const res = await fetch('/api/export/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 export');
+            }
+            showNotification('Экспорт успешно запущен!', 'success');
+        } catch (err) {
+            console.error('Export start error:', err);
+            showNotification(err.message, 'error');
+        }
+    }
+
+    async function stopExport() {
+        if (!isExportActive) return;
+        try {
+            const res = await fetch('/api/export/stop', { method: 'POST' });
+            if (!res.ok) {
+                const data = await res.json();
+                throw new Error(data.detail || 'Failed to stop export');
+            }
+            showNotification('Запрос на остановку отправлен.', 'info');
+        } catch (err) {
+            console.error('Export stop error:', err);
+            showNotification(err.message, 'error');
+        }
+    }
+
+    exportStartBtn.addEventListener('click', startExport);
+    exportStopBtn.addEventListener('click', stopExport);
+
     // Initial load sequence
     loadDatasetsList().then(() => {
         return loadModelsList();
@@ -929,6 +1174,7 @@ document.addEventListener('DOMContentLoaded', () => {
     }).then(() => {
         loadSessionsList();
         connectWebSocket();
+        connectExportWebSocket();
         initChart();
     });
 });

src/yolo_webui/static/index.html

@@ -20,9 +20,13 @@
                 <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">
+            <div class="logo-text" style="margin-right: 2rem;">
                 <h1>YOLO Train Studio</h1>
-                <span>Интерфейс обучения моделей</span>
+                <span>Интерфейс обучения модели</span>
+            </div>
+            <div class="view-tabs" style="display: flex; gap: 10px;">
+                <button class="view-btn active" data-view="train-view">Обучение</button>
+                <button class="view-btn" data-view="export-view">Экспорт</button>
             </div>
         </div>
         <div class="header-actions">
@@ -38,6 +42,7 @@
     </header>
 
     <main class="app-workspace">
+        <div id="train-view" class="workspace-view active">
         <!-- Configuration Card -->
         <section class="pane" id="config-pane">
             <!-- Session Controls -->
@@ -291,6 +296,7 @@
                         <div class="field">
                             <label for="auto-augment">AutoAugment политика (classify)</label>
                             <select id="auto-augment" name="auto-augment">
+                                <option value="none">Отключено</option>
                                 <option value="randaugment">RandAugment</option>
                                 <option value="autoaugment">AutoAugment</option>
                                 <option value="augmix">AugMix</option>
@@ -400,6 +406,148 @@
             </div>
 
         </section>
+        </div> <!-- End train-view -->
+
+        <div id="export-view" class="workspace-view">
+            <!-- Export Configuration Card -->
+            <section class="pane" id="export-config-pane">
+                <div class="tabs">
+                    <button type="button" class="export-tab-btn active" style="flex: 1; background: var(--accent-gradient); border: none; border-radius: 6px; color: #fff; font-family: var(--font-sans); font-size: 0.9rem; font-weight: 600; padding: 0.6rem; cursor: default; box-shadow: 0 4px 10px rgba(0, 0, 0, 0.25);">Настройки экспорта</button>
+                </div>
+                <form id="export-form" class="form-container">
+                    <div style="display: block;">
+                        <div class="form-section-title">Параметры модели</div>
+                        <div class="field">
+                            <label for="export-model-select">Модель для экспорта</label>
+                            <select id="export-model-select">
+                                <option value="">Поиск моделей...</option>
+                            </select>
+                        </div>
+                        <div class="field" id="export-model-custom-wrapper" style="display: none;">
+                            <label for="export-model">Имя весов или путь к модели вручную</label>
+                            <input type="text" id="export-model" name="export-model" placeholder="например, /workspace/runs/.../best.pt">
+                        </div>
+                        <div class="field">
+                            <label for="export-format">Формат экспорта</label>
+                            <select id="export-format" name="export-format">
+                                <option value="onnx">ONNX (.onnx)</option>
+                                <option value="engine">TensorRT (.engine)</option>
+                                <option value="openvino">OpenVINO (_openvino_model/)</option>
+                                <option value="triton">Triton Inference Server (triton/)</option>
+                                <option value="torchscript">TorchScript (.torchscript)</option>
+                                <option value="coreml">CoreML (.mlpackage)</option>
+                                <option value="tflite">TFLite (.tflite)</option>
+                                <option value="pb">TensorFlow SavedModel (_saved_model/)</option>
+                            </select>
+                        </div>
+                        
+                        <div class="form-section-title">Опции</div>
+                        <div class="row">
+                            <div class="field">
+                                <label for="export-imgsz">Размер изображения (imgsz)</label>
+                                <input type="number" id="export-imgsz" name="export-imgsz" value="640">
+                            </div>
+                            <div class="field">
+                                <label for="export-batch" title="Максимальный размер батча. Важен при Dynamic=True для TensorRT и Triton.">Макс. батч (batch)</label>
+                                <input type="number" id="export-batch" name="export-batch" value="1" min="1">
+                            </div>
+                            <div class="field">
+                                <label for="export-workspace" title="Размер памяти для сборки TensorRT (ГБ).">Workspace (ГБ)</label>
+                                <input type="number" id="export-workspace" name="export-workspace" value="4" min="1" max="64">
+                            </div>
+                        </div>
+                        <div class="row">
+                            <div class="toggle-row" style="padding: 10px 0;">
+                                <div class="toggle-label">
+                                    <h3>FP16 (Half)</h3>
+                                    <p>Использовать полуточность</p>
+                                </div>
+                                <label class="switch-container">
+                                    <input type="checkbox" id="export-half">
+                                    <span class="switch-slider"></span>
+                                </label>
+                            </div>
+                            <div class="toggle-row" style="padding: 10px 0;">
+                                <div class="toggle-label">
+                                    <h3>INT8</h3>
+                                    <p>Квантование до INT8</p>
+                                </div>
+                                <label class="switch-container">
+                                    <input type="checkbox" id="export-int8">
+                                    <span class="switch-slider"></span>
+                                </label>
+                            </div>
+                            <div class="toggle-row" style="padding: 10px 0;">
+                                <div class="toggle-label">
+                                    <h3>Dynamic</h3>
+                                    <p>Динамические оси</p>
+                                </div>
+                                <label class="switch-container">
+                                    <input type="checkbox" id="export-dynamic">
+                                    <span class="switch-slider"></span>
+                                </label>
+                            </div>
+                            <div class="toggle-row" style="padding: 10px 0;">
+                                <div class="toggle-label" title="Только для ONNX. Оптимизирует и упрощает граф модели.">
+                                    <h3>Simplify</h3>
+                                    <p>Упростить граф (ONNX)</p>
+                                </div>
+                                <label class="switch-container">
+                                    <input type="checkbox" id="export-simplify">
+                                    <span class="switch-slider"></span>
+                                </label>
+                            </div>
+                        </div>
+                    </div>
+                </form>
+            </section>
+
+            <!-- Export Monitoring Card -->
+            <section class="pane" id="export-run-pane">
+                <div id="export-status-card" class="status-idle">
+                    <div class="status-header">
+                        <div class="status-indicator">
+                            <span class="status-dot"></span>
+                            <h2 id="export-status-title">ГОТОВО К ЭКСПОРТУ</h2>
+                        </div>
+                    </div>
+                    <p id="export-status-text">Выберите модель и формат для начала.</p>
+                </div>
+
+                <!-- Action Buttons -->
+                <div class="action-buttons">
+                    <button type="button" id="export-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 экспорт
+                    </button>
+                    <button type="button" id="export-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>
+
+                <!-- Logs Box -->
+                <div class="log-card" style="flex: 1;">
+                    <div class="log-header">
+                        <h3>Журнал экспорта</h3>
+                        <div class="log-actions">
+                            <label class="checkbox-inline">
+                                <input type="checkbox" id="export-autoscroll" checked>
+                                Автопрокрутка
+                            </label>
+                            <button type="button" id="export-clear-log-btn" class="btn-text">Очистить</button>
+                        </div>
+                    </div>
+                    <div class="log-body" id="export-log-container">
+                        <div class="log-line log-level-info">Ожидание запуска экспорта...</div>
+                    </div>
+                </div>
+            </section>
+        </div> <!-- End export-view -->
     </main>
     <script src="/static/app.js"></script>
 </body>

src/yolo_webui/static/style.css

@@ -129,9 +129,8 @@ body {
 /* App Layout Workspace */
 .app-workspace {
     flex: 1;
-    display: grid;
+    display: flex;
-    grid-template-columns: 46% 1fr;
+    flex-direction: column;
-    gap: 1.5rem;
     padding: 1.5rem 2rem;
     max-width: 1800px;
     width: 100%;
@@ -139,8 +138,21 @@ body {
     height: calc(100vh - 57px);
 }
 
+.workspace-view {
+    display: none;
+    grid-template-columns: 46% 1fr;
+    gap: 1.5rem;
+    flex: 1;
+    height: 100%;
+}
+
+.workspace-view.active {
+    display: grid;
+    animation: fadeIn var(--transition-normal);
+}
+
 @media (max-width: 1100px) {
-    .app-workspace {
+    .workspace-view {
         grid-template-columns: 1fr;
         height: auto;
         overflow-y: auto;
@@ -349,6 +361,33 @@ body {
     box-shadow: 0 4px 10px rgba(0, 0, 0, 0.25);
 }
 
+/* View Button */
+.view-btn {
+    flex: 0 1 auto;
+    background: var(--bg-card);
+    border: 1px solid var(--border-color);
+    border-radius: 6px;
+    color: var(--text-muted);
+    font-family: var(--font-sans);
+    font-size: 1rem;
+    font-weight: 600;
+    padding: 0.6rem 1.2rem;
+    cursor: pointer;
+    transition: var(--transition-fast);
+}
+
+.view-btn:hover {
+    color: var(--text-main);
+    border-color: var(--accent);
+}
+
+.view-btn.active {
+    color: #fff;
+    background: var(--bg-tertiary);
+    border-color: var(--accent);
+    box-shadow: 0 4px 10px rgba(0, 0, 0, 0.25);
+}
+
 /* Configuration Form Layout */
 .form-container {
     flex: 1;

tests/frontend_smoke.js

@@ -141,13 +141,15 @@ async function flushPromises() {
     element('workers').value = '0';
     element('patience').value = '0';
     element('close-mosaic').value = '0';
+    element('auto-augment').value = 'none';
     element('config-form').listeners.input();
     const savedConfig = JSON.parse(storage.get('draft_config'));
     assert.equal(savedConfig.workers, 0);
     assert.equal(savedConfig.patience, 0);
     assert.equal(savedConfig.augmentation.close_mosaic, 0);
+    assert.equal(savedConfig.augmentation.auto_augment, 'none');
 
-    assert.equal(FakeWebSocket.instances.length, 1);
+    assert.equal(FakeWebSocket.instances.length, 2);
     const socket = FakeWebSocket.instances[0];
     socket.onmessage({
         data: JSON.stringify({

tests/test_config.py

@@ -42,6 +42,28 @@ def test_augmentation_kwargs_are_passed_to_ultralytics() -> None:
     assert kwargs["auto_augment"] == "randaugment"
 
 
+def test_auto_augment_none_policy() -> None:
+    config = TrainingConfig(
+        dataset="dataset.yaml",
+        model="model.pt",
+        augmentation=AugmentationConfig(auto_augment="none"),
+    )
+
+    kwargs = config.train_kwargs()
+    assert kwargs["auto_augment"] is None
+
+
+def test_invalid_auto_augment_policy() -> None:
+    config = TrainingConfig(
+        dataset="dataset.yaml",
+        model="model.pt",
+        augmentation=AugmentationConfig(auto_augment="invalid_policy"),  # type: ignore[arg-type]
+    )
+
+    with pytest.raises(ValueError, match="Неизвестная политика AutoAugment"):
+        config.validate()
+
+
 @pytest.mark.parametrize("field", ["mosaic", "fliplr", "erasing", "perspective"])
 def test_augmentation_probabilities_are_validated(field: str) -> None:
     augmentation = AugmentationConfig(**{field: 1.1})