VietCat/TrafficSignDetector
Add stdout flush to ensure real-time log output
Add detailed logging for inference timing and top detections
Add input validation to prevent None image errors
Fix tiling strategy to avoid infinite loops
Implement tiling strategy for high-resolution object detection
Remove zoom feature - keep interface clean and simple
Simplify zoom to bare minimum - Gradio handles scroll natively
Simplify zoom - use Image components with native scroll
Fix horizontal scroll - remove Column constraints and add white-space nowrap
Fix horizontal zoom stretching - allow width to scale properly
Replace zoom with scrollable HTML display - actual pixel-level zoom
Fix reset button output error - remove None from outputs list
Simplify zoom implementation using global variables
Fix zoom slider functionality - now updates image display directly
Add zoom sliders for output and preprocessed images
Add auto-detection, interactive zoom, and class names to top 5 detections
Add confidence threshold slider and update class labels
Add detailed training prompt and guidelines
Lower confidence threshold to 0.001 and add detailed confidence analysis
Add raw predictions debug info and scale factor warnings
Add detailed logging for debugging detection pipeline
Add full logging and preprocessed image visualization
Fix model loading from HuggingFace Hub and improve inference preprocessing
remove test existing model
test existing model
fix bug
fix bug
fix bug
fix bug
fix bug
fix bug
add more log to debug
add more logic to process image
Lower confidence threshold to 0.25 and add debug logging for traffic sign detection
add more debug log
Use monkey patch to disable weights_only for ultralytics model loading
Add DetectionModel to safe globals for torch loading
Add torch safe globals for model loading
Fix repo_id parsing for HF Hub download
Download model from HF Hub at runtime
Force reinstall numpy 1.24.3 after all packages
Downgrade numpy to 1.24.3 for compatibility
Force reinstall opencv-python-headless to override full opencv
Downgrade gradio to 3.50.2 for compatibility
Add huggingface-hub version for compatibility
Load model at runtime, specify full path to model file
Use opencv-python-headless to avoid GUI dependencies
Add system dependencies for OpenCV in Docker
Initial commit with Traffic Sign Detector app
initial commit
