108 lines
3.0 KiB
Markdown
Executable File
108 lines
3.0 KiB
Markdown
Executable File
# Python Backend for COCO Tool
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This is the converted Python backend using Flask and SQLAlchemy.
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## Setup
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1. Create a virtual environment (recommended):
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```bash
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python -m venv venv
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```
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2. Activate the virtual environment:
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- Windows: `venv\Scripts\activate`
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- Linux/Mac: `source venv/bin/activate`
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3. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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## Running the Server
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### Option 1: Using start.py
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```bash
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python start.py
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```
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### Option 2: Using Flask directly
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```bash
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python app.py
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```
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### Option 3: Using Flask CLI
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```bash
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flask --app app run --host=0.0.0.0 --port=3000
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```
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The server will start on `http://0.0.0.0:3000`
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## Database Configuration
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The database configuration is in `database/database.py`. Default settings:
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- Host: localhost
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- Database: myapp
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- User: root
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- Password: root
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Modify `app.py` to change these settings.
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## Project Structure
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```
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backend/
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├── app.py # Main Flask application
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├── start.py # Startup script
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├── requirements.txt # Python dependencies
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├── database/
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│ └── database.py # Database configuration
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├── models/ # SQLAlchemy models
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│ ├── __init__.py
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│ ├── Annotation.py
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│ ├── Images.py
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│ ├── LabelStudioProject.py
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│ ├── training.py
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│ ├── TrainingProject.py
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│ └── TrainingProjectDetails.py
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├── routes/
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│ └── api.py # API endpoints
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└── services/ # Business logic
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├── fetch_labelstudio.py
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├── generate_json_yolox.py
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├── generate_yolox_exp.py
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├── push_yolox_exp.py
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└── seed_label_studio.py
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```
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## API Endpoints
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All endpoints are prefixed with `/api`:
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- `GET /api/seed` - Seed database from Label Studio
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- `POST /api/generate-yolox-json` - Generate YOLOX training files
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- `POST /api/start-yolox-training` - Start YOLOX training
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- `GET /api/training-log` - Get training logs
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- `GET/POST /api/training-projects` - Manage training projects
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- `GET /api/label-studio-projects` - Get Label Studio projects
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- `GET/POST/PUT /api/training-project-details` - Manage project details
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- `POST /api/yolox-settings` - Save YOLOX settings
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- `GET/DELETE /api/trainings` - Manage trainings
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- `DELETE /api/training-projects/:id` - Delete training project
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## Migration Notes
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This is a direct conversion from Node.js/Express to Python/Flask:
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- Express → Flask
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- Sequelize ORM → SQLAlchemy ORM
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- node-fetch → requests library
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- Async routes maintained where needed
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- All file paths and logic preserved from original
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## Differences from Node.js Version
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1. Python uses async/await differently - some routes may need adjustments
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2. File handling uses Python's built-in open() instead of fs module
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3. Subprocess calls use Python's subprocess module
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4. JSON handling uses Python's json module
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5. Path operations use os.path instead of Node's path module
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