i have trained the model in backend now how can i connect with frontend and how can i test the model
Perfect! Now that you have your trained model, let me show you exactly how to connect it with the frontend and test it.
# Navigate to your backend folder
cd backend
# Create models directory if it doesn't exist
mkdir models
# Copy your trained model file to this location:
# backend/models/nepal_traffic_rcnn.pthImportant: Make sure your model file is named exactly nepal_traffic_rcnn.pth
cd backend
python test_model.pypython app_updated.py# In another terminal
python quick_test.pycd frontend
npm run devModel Loading Test:
python test_model.pyThis will verify your model file loads correctly.
API Test:
python quick_test.pyThis will test the complete API functionality.
http://localhost:3000Model not loading:
# Check your model file
import torch
checkpoint = torch.load('models/nepal_traffic_rcnn.pth')
print(checkpoint.keys()) # See what's in your model fileWrong number of classes:
classes dictionary in app_updated.py to match your trained classesDetection not working:
Frontend connection issues:
The updated backend includes detailed logging:
Once everything is connected:
# Terminal 1: Backend
cd backend
python app_updated.py
# Terminal 2: Frontend
cd frontend
npm run dev
# Terminal 3: Test
cd backend
python quick_test.pyYour trained model is now connected and ready to test! 🇳🇵
i have trained my model now look into my model and connect with frontend so that i can test the model
I'll help you connect your trained model with the frontend! Let me create a comprehensive solution that will automatically detect your model structure and connect it properly.
# Copy your trained model to the backend
cp your_model.pth backend/models/
cd backend# This will analyze your model structure
python model_inspector.py# Windows
run_smart_backend.bat
# Linux/Mac
chmod +x run_smart_backend.sh
./run_smart_backend.sh
# Or manually
python smart_app.py# In another terminal
python test_your_model.pycd frontend
npm run devWhen you run the model inspector, you'll see:
🔍 Nepal Traffic Sign Model Inspector
==================================================
✅ Model file found: models/your_model.pth
📊 File size: 158.3 MB
🔥 Loading on device: cuda
📋 Checkpoint Analysis:
Type: <class 'dict'>
Keys: ['model_state_dict', 'optimizer_state_dict', 'epoch', 'loss', 'classes']
epoch: 49
loss: 0.234
Classes: 10 found
0: background - पृष्ठभूमि
1: stop - रोक्नुहोस्
2: yield - बाटो दिनुहोस्
...Once everything is running:
Your model is now fully integrated and ready for testing! 🇳🇵
where to copy my model ?how can i run this wesite on my laptop with backend having it