corrections

.gitignore

@@ -1,54 +1,51 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-lerna-debug.log*
-
-node_modules
-dist
-dist-ssr
-*.local
-
-# Editor directories and files
-.vscode/*
-!.vscode/extensions.json
-.idea
-.DS_Store
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
-*.sw?
-
 # Python
 __pycache__/
 *.py[cod]
 *$py.class
 *.so
 .Python
-env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# Virtual environments
 venv/
+env/
 ENV/
-env.bak/
-venv.bak/
 
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
 
-# Uploads and temporary files
-uploads/
-*.tmp
-*.temp
+# OS
+.DS_Store
+Thumbs.db
 
+# Logs
+*.log
 
+# Model files (if too large)
+# models/*.pt
 
-# Profiles (if they contain sensitive data)
-profiles/*.json
+# Data files (if too large)
+# index/*.faiss
+# index/*.npy
 
-# Environment variables
-.env
-.env.local
-.env.development.local
-.env.test.local
-.env.production.local
+# Temporary files
+*.tmp
+*.temp

DEPLOYMENT.md

@@ -0,0 +1,204 @@
+# 🚀 Deploying Devam Jersey Server to Hugging Face Spaces
+
+This guide will help you deploy your jersey similarity detection server to Hugging Face Spaces.
+
+## 📋 Prerequisites
+
+1. **Hugging Face Account**: Sign up at [huggingface.co](https://huggingface.co)
+2. **Git**: Ensure git is installed and configured
+3. **Python Environment**: Python 3.9+ with pip
+
+## 🎯 Quick Start
+
+### Option 1: Web Interface (Recommended)
+
+1. **Go to Hugging Face Spaces**
+   - Visit [https://huggingface.co/spaces](https://huggingface.co/spaces)
+   - Click "Create new Space"
+
+2. **Configure Your Space**
+   - **Owner**: Your username
+   - **Space name**: `devam-jersey-server` (or your preferred name)
+   - **SDK**: Select **Docker**
+   - **License**: Choose appropriate license
+   - **Visibility**: Public or Private
+   - Click "Create Space"
+
+3. **Upload Your Files**
+   - In your new space, click "Files and versions"
+   - Upload all project files:
+     - `inference_server.py`
+     - `requirements.txt`
+     - `Dockerfile`
+     - `README.md`
+     - `models/deepfashion2_yolov8s-seg.pt`
+     - `index/jersey_metadata.npy`
+     - Any other necessary files
+
+4. **Monitor Build**
+   - Go to "Settings" → "Build logs"
+   - Wait for the Docker build to complete
+   - Your API will be available at `https://YOUR_USERNAME-devam-jersey-server.hf.space`
+
+### Option 2: Git Clone Method
+
+1. **Clone the Created Space**
+   ```bash
+   git clone https://huggingface.co/spaces/YOUR_USERNAME/devam-jersey-server
+   cd devam-jersey-server
+   ```
+
+2. **Copy Your Project Files**
+   ```bash
+   # Copy all your project files to this directory
+   cp -r /path/to/your/project/* .
+   ```
+
+3. **Commit and Push**
+   ```bash
+   git add .
+   git commit -m "Initial upload of Devam Jersey Server"
+   git push
+   ```
+
+### Option 3: CLI Method
+
+1. **Install huggingface_hub**
+   ```bash
+   pip install huggingface_hub
+   ```
+
+2. **Create Space via CLI**
+   ```bash
+   huggingface-cli repo create devam-jersey-server --type space --space-sdk docker
+   ```
+
+3. **Clone and Upload**
+   ```bash
+   git clone https://huggingface.co/spaces/YOUR_USERNAME/devam-jersey-server
+   cd devam-jersey-server
+   # Copy files and push as in Option 2
+   ```
+
+## 🔧 Configuration
+
+### Environment Variables (Optional)
+
+In your Space settings, you can add environment variables:
+
+- `MODEL_PATH`: Path to your YOLO model
+- `INDEX_PATH`: Path to your FAISS index
+- `DEVICE`: `cuda` or `cpu`
+
+### Hardware Requirements
+
+- **CPU**: Basic CPU is sufficient for testing
+- **GPU**: For production use, consider upgrading to GPU-enabled space
+- **Memory**: At least 4GB RAM recommended
+
+## 🧪 Testing Your Deployment
+
+### 1. Check Space Status
+- Visit your space URL
+- Check the "Logs" tab for any errors
+- Verify the API is responding
+
+### 2. Test Endpoints
+```bash
+# Test root endpoint
+curl https://YOUR_USERNAME-devam-jersey-server.hf.space/
+
+# Test DINO endpoint (upload an image)
+curl -X POST https://YOUR_USERNAME-devam-jersey-server.hf.space/dino \
+  -F "file=@test_image.jpg"
+
+# Test FAISS endpoint
+curl -X POST https://YOUR_USERNAME-devam-jersey-server.hf.space/faiss \
+  -H "Content-Type: application/json" \
+  -d '{"features": [0.1, 0.2, ...]}'
+```
+
+### 3. Use the Test Script
+```bash
+# Update the base_url in test_server.py
+python test_server.py
+```
+
+## 🚨 Troubleshooting
+
+### Common Issues
+
+1. **Build Fails**
+   - Check Dockerfile syntax
+   - Verify all files are uploaded
+   - Check build logs for specific errors
+
+2. **Model Loading Errors**
+   - Ensure model files are properly uploaded
+   - Check file paths in code
+   - Verify model file integrity
+
+3. **Memory Issues**
+   - Consider using smaller models
+   - Optimize Docker image
+   - Upgrade to GPU space if needed
+
+4. **API Not Responding**
+   - Check space status
+   - Verify port configuration (should be 7860)
+   - Check logs for runtime errors
+
+### Debug Commands
+
+```bash
+# Check space logs
+# Go to Settings → Logs in your HF Space
+
+# Test locally first
+python inference_server.py
+python test_server.py
+
+# Check Docker build locally
+docker build -t devam-jersey .
+docker run -p 7860:7860 devam-jersey
+```
+
+## 📊 Monitoring
+
+- **Build Logs**: Check after each push
+- **Runtime Logs**: Monitor for errors during operation
+- **Space Analytics**: Track usage and performance
+- **API Status**: Verify endpoints are responding
+
+## 🔄 Updates
+
+To update your deployed space:
+
+1. **Make Changes Locally**
+2. **Push to Git**
+   ```bash
+   git add .
+   git commit -m "Update description"
+   git push
+   ```
+3. **Monitor Build**: Check build logs for success
+4. **Test**: Verify changes work as expected
+
+## 📚 Additional Resources
+
+- [Hugging Face Spaces Documentation](https://huggingface.co/docs/hub/spaces)
+- [Docker on HF Spaces](https://huggingface.co/docs/hub/spaces-sdks-docker)
+- [FastAPI Documentation](https://fastapi.tiangolo.com/)
+
+## 🎉 Success!
+
+Once deployed, your jersey similarity server will be available at:
+```
+https://YOUR_USERNAME-devam-jersey-server.hf.space
+```
+
+Share this URL with others to use your API!
+
+---
+
+**Need Help?** Check the [Hugging Face Community](https://huggingface.co/forums) for support.

Dockerfile

@@ -1,20 +1,21 @@
 # Base image
-FROM python:3.9
-
-# Create non-root user
-RUN useradd -m -u 1000 user
-USER user
+FROM python:3.9-slim
 
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    && rm -rf /var/lib/apt/lists/*
 
 # Set working directory
 WORKDIR /app
 
 # Copy and install dependencies
-COPY --chown=user ./requirements.txt requirements.txt
+COPY requirements.txt .
 RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
 # Copy project files
-COPY --chown=user . /app
+COPY . .
 
 # Expose Hugging Face Space port
 EXPOSE 7860

index/jersey_index.faiss

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:318f96897d724c9b9927533a10e099f959da68f4caf900379485bc6e9c4d85f2
+size 930861

requirements.txt

@@ -17,9 +17,13 @@ numpy>=1.24.0
 scikit-image>=0.20.0
 tqdm>=4.65.0
 
+# FastAPI and server
+fastapi>=0.100.0
+uvicorn>=0.20.0
+
+# HTTP client for testing
+requests>=2.28.0
+
 # Optional: For better performance
 # tensorrt  # Only if you have NVIDIA GPU
-# onnxruntime-gpu  # Only if you have NVIDIA GPU 
-
-fastapi
-uvicorn
+# onnxruntime-gpu  # Only if you have NVIDIA GPU

test_server.py

@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+"""
+Test script for Devam Jersey Server
+"""
+
+import requests
+import json
+from PIL import Image
+import numpy as np
+import io
+
+def create_test_image():
+    """Create a simple test image"""
+    # Create a 224x224 RGB test image
+    img_array = np.random.randint(0, 255, (224, 224, 3), dtype=np.uint8)
+    img = Image.fromarray(img_array)
+    
+    # Convert to bytes
+    img_byte_arr = io.BytesIO()
+    img.save(img_byte_arr, format='PNG')
+    img_byte_arr = img_byte_arr.getvalue()
+    
+    return img_byte_arr
+
+def test_endpoints(base_url="http://localhost:7860"):
+    """Test all endpoints of the server"""
+    print(f"🧪 Testing server at {base_url}")
+    print("=" * 50)
+    
+    # Test root endpoint
+    try:
+        response = requests.get(f"{base_url}/")
+        if response.status_code == 200:
+            print("✅ Root endpoint working")
+            data = response.json()
+            print(f"   Status: {data.get('status')}")
+            print(f"   Models loaded: {data.get('models_loaded')}")
+        else:
+            print(f"❌ Root endpoint failed: {response.status_code}")
+    except Exception as e:
+        print(f"❌ Root endpoint error: {e}")
+    
+    # Test DINO endpoint
+    try:
+        test_image = create_test_image()
+        files = {'file': ('test.png', test_image, 'image/png')}
+        response = requests.post(f"{base_url}/dino", files=files)
+        if response.status_code == 200:
+            print("✅ DINO endpoint working")
+            data = response.json()
+            print(f"   Features length: {len(data.get('features', []))}")
+        else:
+            print(f"❌ DINO endpoint failed: {response.status_code}")
+            print(f"   Response: {response.text}")
+    except Exception as e:
+        print(f"❌ DINO endpoint error: {e}")
+    
+    # Test FAISS endpoint
+    try:
+        # Create dummy features (768-dimensional for DINOv2 base)
+        dummy_features = np.random.random(768).tolist()
+        payload = {"features": dummy_features}
+        response = requests.post(f"{base_url}/faiss", json=payload)
+        if response.status_code == 200:
+            print("✅ FAISS endpoint working")
+            data = response.json()
+            results = data.get('results', [])
+            print(f"   Results count: {len(results)}")
+        else:
+            print(f"❌ FAISS endpoint failed: {response.status_code}")
+            print(f"   Response: {response.text}")
+    except Exception as e:
+        print(f"❌ FAISS endpoint error: {e}")
+    
+    # Test YOLO endpoint
+    try:
+        test_image = create_test_image()
+        files = {'file': ('test.png', test_image, 'image/png')}
+        response = requests.post(f"{base_url}/yolo", files=files)
+        if response.status_code == 200:
+            print("✅ YOLO endpoint working")
+            data = response.json()
+            polygons = data.get('polygons', [])
+            print(f"   Polygons found: {len(polygons)}")
+        else:
+            print(f"❌ YOLO endpoint failed: {response.status_code}")
+            print(f"   Response: {response.text}")
+    except Exception as e:
+        print(f"❌ YOLO endpoint error: {e}")
+
+def main():
+    print("🚀 Devam Jersey Server - Local Test")
+    print("=" * 50)
+    
+    # Check if server is running
+    try:
+        response = requests.get("http://localhost:7860/", timeout=5)
+        print("✅ Server is running locally")
+        test_endpoints()
+    except requests.exceptions.ConnectionError:
+        print("❌ Server is not running locally")
+        print("\n📋 To start the server locally:")
+        print("1. Install dependencies: pip install -r requirements.txt")
+        print("2. Start server: python inference_server.py")
+        print("3. Run this test again")
+    except Exception as e:
+        print(f"❌ Error testing server: {e}")
+
+if __name__ == "__main__":
+    main()

upload_to_hf.py

@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+"""
+Helper script to upload Devam Jersey Server to Hugging Face Spaces
+"""
+
+import os
+import subprocess
+import sys
+
+def run_command(command, description):
+    """Run a command and handle errors"""
+    print(f"🔄 {description}...")
+    try:
+        result = subprocess.run(command, shell=True, check=True, capture_output=True, text=True)
+        print(f"✅ {description} completed successfully")
+        return result.stdout
+    except subprocess.CalledProcessError as e:
+        print(f"❌ {description} failed:")
+        print(f"Error: {e.stderr}")
+        return None
+
+def check_git_status():
+    """Check if we're in a git repository and if it's clean"""
+    if not os.path.exists('.git'):
+        print("❌ Not in a git repository. Please initialize git first:")
+        print("   git init")
+        print("   git add .")
+        print("   git commit -m 'Initial commit'")
+        return False
+    
+    # Check if there are uncommitted changes
+    result = subprocess.run("git status --porcelain", shell=True, capture_output=True, text=True)
+    if result.stdout.strip():
+        print("⚠️  There are uncommitted changes. Please commit them first:")
+        print("   git add .")
+        print("   git commit -m 'Update before HF upload'")
+        return False
+    
+    return True
+
+def main():
+    print("🚀 Devam Jersey Server - Hugging Face Upload Helper")
+    print("=" * 50)
+    
+    # Check prerequisites
+    if not check_git_status():
+        return
+    
+    # Check if huggingface_hub is installed
+    try:
+        import huggingface_hub
+        print("✅ huggingface_hub is installed")
+    except ImportError:
+        print("❌ huggingface_hub not found. Installing...")
+        run_command("pip install huggingface_hub", "Installing huggingface_hub")
+    
+    print("\n📋 Next steps to upload to Hugging Face:")
+    print("1. Go to https://huggingface.co/spaces")
+    print("2. Click 'Create new Space'")
+    print("3. Choose 'Docker' as the SDK")
+    print("4. Set Space name (e.g., 'devam-jersey-server')")
+    print("5. Set visibility (Public or Private)")
+    print("6. Click 'Create Space'")
+    print("\n7. Clone the created space:")
+    print("   git clone https://huggingface.co/spaces/YOUR_USERNAME/devam-jersey-server")
+    print("   cd devam-jersey-server")
+    print("\n8. Copy your project files to the cloned directory")
+    print("9. Push to Hugging Face:")
+    print("   git add .")
+    print("   git commit -m 'Initial upload'")
+    print("   git push")
+    
+    print("\n🔧 Alternative: Use huggingface_hub CLI")
+    print("   huggingface-cli repo create devam-jersey-server --type space --space-sdk docker")
+    print("   cd devam-jersey-server")
+    print("   # Copy files and push as above")
+    
+    print("\n📝 Important notes:")
+    print("- Make sure your model files are not too large (>5GB total)")
+    print("- The space will automatically build and deploy your Docker container")
+    print("- Check the 'Settings' tab in your space for environment variables if needed")
+    print("- Monitor the build logs in the 'Logs' tab")
+
+if __name__ == "__main__":
+    main()