  class Detect(Detector):
      """ MTCNN detector for face recognition """
      def __init__(self, **kwargs):
          model_filename = ["mtcnn_det_v1.1.npy", "mtcnn_det_v1.2.npy", "mtcnn_det_v1.3.npy"]
          super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs)
          self.kwargs = self.validate_kwargs()
          self.name = "mtcnn"
 
</s> remove         super().__init__(model_filename=model_filename, **kwargs)
 </s> add         super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs) </s> remove         super().__init__(model_filename=model_filename, **kwargs)
 </s> add         super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs) </s> remove         super().__init__(model_filename=model_filename, **kwargs)
 </s> add         super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs)
        git_model_id = 2
  class Detect(Detector):
      """ MTCNN detector for face recognition """
      def __init__(self, **kwargs):
        git_model_id = 2
          model_filename = ["mtcnn_det_v1.1.npy", "mtcnn_det_v1.2.npy", "mtcnn_det_v1.3.npy"]
          super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs)
          self.kwargs = self.validate_kwargs()
          self.name = "mtcnn"
keep keep add keep keep keep keep
 Face filter vgg face (#724)

* Implement extraction pipeline

* Face filter to vgg_face. Resume partial model downloads

* On-the-fly conversion to extraction pipeline

* Move git model ids from get_model to model definition 
plugins/extract/detect/mtcnn.py