Using pip pakcage

• For using my model for predictions, use the following lines of code after installation:

  import celeb_detector # on running for the first time, this will
  download vggface model
  img_path = 'sample_image.jpg' # this supports both local path and web url like https://sample/sample_image_url.jpg
  celeb_detector.celeb_recognition(img_path) # on running for the first time, 2 files (celeb_mapping.json and celeb_index_60.ann) will be downloaded to the home directory
  

  This returns a list of dictionaries, each dictionary contains bbox coordinates, celeb name and confidence for each face detected in the image (celeb name will be unknown if no matching face detected).

• For using your own custom model, also provide path to json and ann files as shown below:

  import celeb_detector
  img_path = 'sample_image.jpg'
  ann_path = 'sample_index.ann'
  celeb_map = 'sample_mapping.json'
  celeb_detector.celeb_recognition(img_path, ann_path, celeb_map)
  

• For creating your own model (refer next section for more details on usage) and run as follows:

  import celeb_detector
  folder_path = 'celeb_images'
  celeb_detector.create_celeb_model(folder_path)