Delete DEPLOYMENT.md

DEPLOYMENT.md

@@ -1,269 +0,0 @@
-# Hugging Face Deployment Guide
-
-## 📋 Pre-Deployment Checklist
-
-Before uploading to Hugging Face Spaces, ensure:
-
-- [x] All code files are plagiarism-free with original implementations
-- [x] Student attribution is present in all files
-- [x] README.md has HF metadata header
-- [x] requirements.txt includes all dependencies
-- [x] .gitattributes is configured for Git LFS
-- [x] LICENSE file is present
-- [x] Error handling is comprehensive
-- [ ] Sample video is available (optional)
-
-## 🚀 Deployment Steps
-
-### 1. Create a New Space on Hugging Face
-
-1. Go to [Hugging Face Spaces](https://huggingface.co/new-space)
-2. Click "Create new Space"
-3. Fill in the details:
-   - **Space name**: `vehicle-speed-estimation` (or your choice)
-   - **License**: MIT
-   - **SDK**: Gradio
-   - **Visibility**: Public or Private
-
-### 2. Upload Files
-
-You can upload files via:
-
-#### Option A: Web Interface
-
-1. Navigate to your Space
-2. Click "Files and versions"
-3. Upload all files from the project directory:
-   ```
-   app.py
-   main.py
-   config.py
-   requirements.txt
-   README.md
-   LICENSE
-   CITATION.cff
-   CONTRIBUTING.md
-   .gitattributes
-   src/
-   ├── __init__.py
-   ├── annotator.py
-   ├── speed_estimator.py
-   ├── view_transformer.py
-   └── exceptions.py
-   ```
-
-#### Option B: Git Command Line
-
-```bash
-# Clone your Space repository
-git clone https://huggingface.co/spaces/YOUR_USERNAME/vehicle-speed-estimation
-cd vehicle-speed-estimation
-
-# Copy all files from the project
-cp -r /path/to/Vehicle-Speed-Estimation-and-Counting-YOLO-Supervision/* .
-
-# Add and commit
-git add .
-git commit -m "Initial commit: Vehicle Speed Estimation System"
-
-# Push to Hugging Face
-git push
-```
-
-### 3. Configure Git LFS for Large Files
-
-If you have model files or sample videos:
-
-```bash
-# Install Git LFS
-git lfs install
-
-# Track large files
-git lfs track "*.pt"
-git lfs track "*.mp4"
-
-# Add .gitattributes
-git add .gitattributes
-git commit -m "Configure Git LFS"
-git push
-```
-
-### 4. Wait for Build
-
-- Hugging Face will automatically build your Space
-- Check the "Logs" tab for build progress
-- Build typically takes 2-5 minutes
-
-### 5. Test Your Space
-
-Once built:
-1. Upload a test video
-2. Verify processing works
-3. Check output video quality
-4. Test error handling with invalid inputs
-
-## ⚙️ Configuration Notes
-
-### Model Files
-
-The YOLO model will be downloaded automatically on first run. If you want to include a pre-downloaded model:
-
-1. Download the model (e.g., `yolov8n.pt`)
-2. Create a `models/` directory
-3. Upload via Git LFS:
-   ```bash
-   git lfs track "models/*.pt"
-   git add models/yolov8n.pt
-   git commit -m "Add YOLO model"
-   git push
-   ```
-
-### Sample Videos
-
-To include example videos:
-
-1. Create a `data/` directory
-2. Add sample videos (keep under 100MB each)
-3. Upload via Git LFS:
-   ```bash
-   git lfs track "data/*.mp4"
-   git add data/vehicles.mp4
-   git commit -m "Add sample video"
-   git push
-   ```
-
-### Environment Variables
-
-If you need to set environment variables:
-
-1. Go to Space Settings
-2. Click "Variables and secrets"
-3. Add any required variables
-
-## 🐛 Troubleshooting
-
-### Build Fails
-
-**Issue**: Dependencies fail to install
-
-**Solution**: 
-- Check `requirements.txt` for version conflicts
-- Ensure all packages are available on PyPI
-- Try pinning specific versions
-
-### Out of Memory
-
-**Issue**: Space runs out of memory during processing
-
-**Solution**:
-- Upgrade to a better hardware tier (Settings → Hardware)
-- Reduce video resolution in preprocessing
-- Use smaller YOLO model (yolov8n instead of yolov8l)
-
-### Slow Processing
-
-**Issue**: Video processing is very slow
-
-**Solution**:
-- Upgrade to GPU hardware (Settings → Hardware)
-- Use smaller model for faster inference
-- Reduce input video resolution
-
-### Model Download Fails
-
-**Issue**: YOLO model fails to download
-
-**Solution**:
-- Pre-download model and include in repository
-- Check internet connectivity in Space
-- Use alternative model source
-
-## 📊 Hardware Recommendations
-
-| Video Resolution | Model Size | Recommended Hardware |
-|-----------------|------------|---------------------|
-| 720p | YOLOv8n | CPU Basic (Free) |
-| 1080p | YOLOv8n/s | CPU Upgrade |
-| 1080p | YOLOv8m/l | T4 Small (GPU) |
-| 4K | YOLOv8l | A10G Small (GPU) |
-
-## 🔒 Security Notes
-
-- Never commit API keys or secrets to the repository
-- Use Hugging Face Secrets for sensitive data
-- Validate all user inputs
-- Limit file upload sizes
-
-## 📈 Monitoring
-
-After deployment:
-
-1. Monitor Space usage in Settings
-2. Check error logs regularly
-3. Review user feedback
-4. Update dependencies periodically
-
-## 🔄 Updating Your Space
-
-To update after deployment:
-
-```bash
-# Make changes locally
-# Test thoroughly
-
-# Commit and push
-git add .
-git commit -m "Description of changes"
-git push
-
-# Space will automatically rebuild
-```
-
-## 📝 Post-Deployment
-
-1. Test all functionality
-2. Share Space link with team
-3. Add Space to your profile
-4. Consider writing a blog post about the project
-5. Share on social media
-
-## 🎓 Academic Use
-
-For academic submissions:
-
-1. Ensure all student names are visible in README
-2. Include enrollment numbers
-3. Add CITATION.cff for proper attribution
-4. Document all external libraries used
-5. Include technical documentation
-
-## ✅ Final Verification
-
-Before marking as complete:
-
-- [ ] Space builds successfully
-- [ ] Video upload works
-- [ ] Processing completes without errors
-- [ ] Output video is downloadable
-- [ ] Statistics are displayed correctly
-- [ ] Error messages are user-friendly
-- [ ] All student names are visible
-- [ ] README renders correctly
-- [ ] License is visible
-
-## 🎉 Success!
-
-Your Vehicle Speed Estimation System is now live on Hugging Face Spaces!
-
-Share your Space URL:
-```
-https://huggingface.co/spaces/YOUR_USERNAME/vehicle-speed-estimation
-```
-
----
-
-**Developed by:**
-- Abhay Gupta (0205CC221005)
-- Aditi Lakhera (0205CC221011)
-- Balraj Patel (0205CC221049)
-- Bhumika Patel (0205CC221050)