facial-finder

Face Detection 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