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* chore: Style changes and create jupyter notebook template * docs: Update docstring for detection * feat: Keyword only for common parameters: model_name, conf_thresh, nms_thresh, input_size * chore: Update drawing and let the conf text optional for drawing * feat: add fancy bbox draw * docs: Add examples of using UniFace * feat: Add version to all examples
2.3 KiB
2.3 KiB
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
# 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
python scripts/run_detection.py --image assets/test.jpg