@echo off
chcp 65001 >nul
cls

:: 设置 Python 3.11 路径
set "PATH=C:\Users\Tellme\AppData\Local\Programs\Python\Python311\Scripts;C:\Users\Tellme\AppData\Local\Programs\Python\Python311;%PATH%"

echo ============================================================
echo           训练鞋子检测模型 (YOLOv8 + 640x640)
echo ============================================================
echo.

:: 设置数据集路径
set DATASET=datasets/openimages-shoes-yolo/data.yaml

:: 检查数据集是否存在
if not exist %DATASET% (
    echo [错误] 找不到数据集配置文件: %DATASET%
    echo.
    echo 请先下载数据集:
    echo   python 01_download_dataset.py --source openimages --max-samples 5000
    pause
    exit /b 1
)

echo [信息] 数据集: %DATASET%
echo.

:: 选择模型
echo 选择模型:
echo   1. YOLOv8n (轻量级, 速度快)
echo   2. YOLOv8s (推荐, 速度和精度平衡)
echo   3. YOLOv8m (高精度, 较慢)
echo.
set /p MODEL_CHOICE="输入选择 (1-3, 默认 2): "

if "%MODEL_CHOICE%"=="" set MODEL_CHOICE=2
if "%MODEL_CHOICE%"=="1" (
    set MODEL=yolov8n.pt
    set DESC=YOLOv8n
)
if "%MODEL_CHOICE%"=="2" (
    set MODEL=yolov8s.pt
    set DESC=YOLOv8s (推荐)
)
if "%MODEL_CHOICE%"=="3" (
    set MODEL=yolov8m.pt
    set DESC=YOLOv8m
)

echo.
echo [信息] 使用模型: %DESC%
echo.

:: 训练参数
set EPOCHS=150
set IMGSZ=640
set BATCH=16

echo 训练参数:
echo   - Epochs: %EPOCHS%
echo   - Image Size: %IMGSZ%x%IMGSZ%
echo   - Batch Size: %BATCH%
echo   - Device: GPU (cuda:0)
echo.

echo ============================================================
echo                     开始训练
echo ============================================================
echo.

yolo detect train data=%DATASET% model=%MODEL% epochs=%EPOCHS% imgsz=%IMGSZ% batch=%BATCH% device=0

if %ERRORLEVEL% neq 0 (
    echo.
    echo [错误] 训练失败！
    pause
    exit /b 1
)

echo.
echo ============================================================
echo                     训练完成！
echo ============================================================
echo.
echo 模型保存在: runs/detect/train/weights/best.pt
echo.
echo 下一步: 运行 03_export_onnx.bat 导出 ONNX
echo.
pause