OpenCV’s deep learning face detector is based on the Single Shot Detector (SSD) framework with a ResNet base network. When using OpenCV’s deep neural network module with Caffe models, you’ll need two sets of files:The .prototxt file(s) which define the model architecture (i.e., the layers themselves) and The .caffemodel file which contains the weights for the actual layers.
OpenCV’s deep learning face detector is based on the Single Shot Detector (SSD) framework with a ResNet base network. When using OpenCV’s deep neural network module with Caffe models, you’ll need two sets of files:The .prototxt file(s) which define the model architecture (i.e., the layers themselves) and The .caffemodel file which contains the weights for the actual layers.