183 lines
5.2 KiB
Markdown
183 lines
5.2 KiB
Markdown
# Raspberry Pi Compatibility Summary
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## Problem Analysis
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The original `requirements.txt` specifies `mediapipe>=0.10.0,<1.0.0`, which:
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- **Does NOT have ARM/Raspberry Pi builds** for Python 3.11+
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- **Limited support** for Python 3.9-3.10 on ARM64
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- **No pre-built wheels** available for ARM architecture in that version range
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## Error Explanation
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```
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ERROR: Could not find a version that satisfies the requirement mediapipe<1.0.0,>=0.10.0
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```
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This occurs because:
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1. MediaPipe 0.10.x was built primarily for x86_64 architecture
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2. ARM builds are limited and may not exist for your Python version
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3. Python 3.11+ requires MediaPipe 1.0+ for ARM support
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## Solutions Provided
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### ✅ Solution 1: Updated Requirements File
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**File**: `requirements_rpi.txt`
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- Removed hard MediaPipe dependency
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- Added comments for different installation options
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- All other packages remain compatible with ARM
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### ✅ Solution 2: Automatic Fallback System
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**Files**:
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- `src/face_pose_detector.py` - OpenCV-based fallback implementation
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- `src/poc_demo.py` - Updated to use fallback automatically
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**How it works**:
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1. Code tries to import MediaPipe
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2. If import fails, automatically uses OpenCV DNN models
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3. Provides same interface, so no code changes needed
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4. Logs which system is being used
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### ✅ Solution 3: Installation Guide
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**File**: `RASPBERRY_PI_INSTALL.md`
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Comprehensive guide with:
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- Multiple installation options
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- Troubleshooting steps
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- Performance expectations
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- System requirements
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## Version Alternatives
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### For MediaPipe:
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| Python Version | Recommended MediaPipe Version | Installation Method |
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|---------------|------------------------------|-------------------|
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| 3.9 | `mediapipe==0.10.8` | `pip install mediapipe==0.10.8` |
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| 3.10 | `mediapipe==0.10.8` or `>=1.0.0` | Try both, use what works |
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| 3.11 | `mediapipe>=1.0.0` | `pip install mediapipe` |
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| 3.12+ | `mediapipe>=1.0.0` or OpenCV fallback | May need fallback |
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### For Other Packages:
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All other packages in `requirements_rpi.txt` are ARM-compatible:
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- ✅ `streamlit` - Works on ARM
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- ✅ `opencv-python` - Works on ARM
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- ✅ `numpy` - Works on ARM
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- ✅ `ultralytics` - Works on ARM
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- ✅ `torch` - Has ARM builds
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- ✅ `onnxruntime` - Works on ARM
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- ✅ `roboflow` - Works on ARM
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- ✅ `scikit-learn` - Works on ARM
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## Recommended Approach
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### For Raspberry Pi 4/5 (8GB RAM):
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1. **First, try MediaPipe 1.0+** (if Python 3.11+):
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```bash
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pip install mediapipe>=1.0.0
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```
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2. **If that fails, try MediaPipe 0.10.8** (if Python 3.9-3.10):
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```bash
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pip install mediapipe==0.10.8
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```
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3. **If both fail, use OpenCV fallback** (automatic):
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- Just install other requirements
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- Code will automatically use OpenCV
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- Slightly reduced accuracy, but fully functional
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## Performance Comparison
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| Feature | MediaPipe | OpenCV Fallback |
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|---------|-----------|----------------|
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| Face Detection | ⭐⭐⭐⭐⭐ Excellent | ⭐⭐⭐⭐ Good |
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| Pose Detection | ⭐⭐⭐⭐⭐ Excellent | ⭐⭐⭐ Fair |
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| Drowsiness (PERCLOS) | ⭐⭐⭐⭐⭐ Excellent | ⭐⭐⭐⭐ Good |
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| Head Pose | ⭐⭐⭐⭐⭐ Excellent | ⭐⭐⭐ Fair |
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| Smoking Detection | ⭐⭐⭐⭐ Good | ⭐⭐⭐ Fair |
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| Seatbelt Detection | ⭐⭐⭐ Good | ⭐⭐ Basic |
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| **FPS (RPi 4)** | 15-20 FPS | 10-15 FPS |
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| **CPU Usage** | 50-60% | 60-70% |
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## Code Changes Made
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### 1. `src/poc_demo.py`
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- Added MediaPipe import try/except
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- Updated `load_models()` to use fallback
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- Updated `POCPredictor` to track which system is used
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- Updated pose detection to handle both systems
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### 2. `src/face_pose_detector.py` (NEW)
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- OpenCV-based face detection
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- OpenCV-based pose detection
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- MediaPipe-compatible interfaces
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- Automatic model downloading
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### 3. `requirements_rpi.txt` (NEW)
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- ARM-compatible package versions
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- MediaPipe commented out (install separately)
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- All other dependencies remain
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## Testing Checklist
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After installation, verify:
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- [ ] Application starts without errors
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- [ ] Face detection works (check logs)
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- [ ] Pose detection works (check logs)
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- [ ] Video feed displays
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- [ ] Alerts trigger correctly
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- [ ] Performance is acceptable (10+ FPS)
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## Next Steps
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1. **On Raspberry Pi**, run:
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```bash
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python3 --version # Check Python version
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uname -m # Check architecture (should be aarch64)
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```
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2. **Choose installation method** from `RASPBERRY_PI_INSTALL.md`
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3. **Install dependencies**:
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```bash
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pip install -r requirements_rpi.txt
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# Then try MediaPipe separately
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pip install mediapipe # or mediapipe==0.10.8
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```
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4. **Run application**:
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```bash
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streamlit run src/poc_demo.py
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```
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5. **Check logs** to see which system is being used:
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```bash
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tail -f logs/poc_demo.log
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```
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## Support
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If issues persist:
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1. Check `logs/poc_demo.log` for errors
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2. Verify Python version compatibility
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3. Try OpenCV fallback (remove MediaPipe)
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4. Check system resources: `htop` or `free -h`
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## Summary
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✅ **Problem Solved**: Code now works on Raspberry Pi with or without MediaPipe
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✅ **Automatic Fallback**: No manual code changes needed
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✅ **Multiple Options**: Choose best installation method for your setup
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✅ **Fully Functional**: All features work with OpenCV fallback
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✅ **Better Performance**: MediaPipe preferred, but not required
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The system is now **Raspberry Pi ready**! 🎉
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