# Scripts Scripts for testing UniFace features. ## Available Scripts | Script | Description | |--------|-------------| | `run_detection.py` | Face detection on image or webcam | | `run_age_gender.py` | Age and gender prediction | | `run_emotion.py` | Emotion detection (7 or 8 emotions) | | `run_landmarks.py` | 106-point facial landmark detection | | `run_recognition.py` | Face embedding extraction and comparison | | `run_face_analyzer.py` | Complete face analysis (detection + recognition + attributes) | | `run_face_search.py` | Real-time face matching against reference | | `run_video_detection.py` | Face detection on video files | | `batch_process.py` | Batch process folder of images | | `download_model.py` | Download model weights | | `sha256_generate.py` | Generate SHA256 hash for model files | ## Usage Examples ```bash # Face detection python scripts/run_detection.py --image assets/test.jpg python scripts/run_detection.py --webcam # Age and gender python scripts/run_age_gender.py --image assets/test.jpg python scripts/run_age_gender.py --webcam # Emotion detection python scripts/run_emotion.py --image assets/test.jpg python scripts/run_emotion.py --webcam # Landmarks python scripts/run_landmarks.py --image assets/test.jpg python scripts/run_landmarks.py --webcam # Face recognition (extract embedding) python scripts/run_recognition.py --image assets/test.jpg # Face comparison python scripts/run_recognition.py --image1 face1.jpg --image2 face2.jpg # Face search (match webcam against reference) python scripts/run_face_search.py --image reference.jpg # Video processing python scripts/run_video_detection.py --input video.mp4 --output output.mp4 # Batch processing python scripts/batch_process.py --input images/ --output results/ # Download models python scripts/download_model.py --model-type retinaface python scripts/download_model.py # downloads all ``` ## Common Options | Option | Description | |--------|-------------| | `--image` | Path to input image | | `--webcam` | Use webcam instead of image | | `--method` | Choose detector: `retinaface`, `scrfd`, `yolov5face` | | `--threshold` | Visualization confidence threshold (default: 0.25) | | `--save_dir` | Output directory (default: `outputs`) | ## Quick Test ```bash python scripts/run_detection.py --image assets/test.jpg ```