FacialFinder with OpenCV

Very simple tool for face detection on Image or Video

Services

ImageDetection
- Instance Methods
  - .show() show of detection result on window (with your params)
  - .detect() write new file with detected faces (with your params)
- Instance Attributes
  - path: path to file (.png, .jpeg, .jpg, ...) REQUIRED
  - scale_factor: (Read the OpenCV docs) REQUIRED
  - min_neighbors: (Read the OpenCV docs) REQUIRED
  - rect_color: color of rectangle (detected objects) must be tuple (B, G, R)
  - text: title of detected objects
  - text_color: color of text (detected objects) must be tuple (B, G, R)
  - show_title: title of detected objects window
  - delay: cv2.waitKey(delay)
  - output_path: if you call .detect() method, you must set result file path
VideoDetection
- Instance Methods
  - .show() show of detection result on window (with your params)
  - .detect() write new video with detected faces (with your params)
- Instance Attributes
  - src: path to video or index of camera REQUIRED
  - scale_factor: (Read the OpenCV docs) REQUIRED
  - min_neighbors: (Read the OpenCV docs) REQUIRED
  - rect_color: color of rectangle (detected objects) must be tuple (B, G, R)
  - rect_thickness: rectangle thickness must be integer
  - text: title of detected objects
  - text_color: color of text (detected objects) must be tuple (B, G, R)
  - show_title: title of detected objects window
  - delay: cv2.waitKey(delay)
  - fourcc: format of saving video with detected objects, default=mp4v for .mp4 files
    use with cv2.VideoWriter (PS: read the OpenCV docs)
  - output_path: if you call .detect() method, you must set result file path

Examples

ImageDetection
- .detect()
- Before Face Detection image
- After Face Detection image
VideoDetection
- .detect()
- Before Face Detection video
- After Face Detection video