The project I am working on has a requirement to detect a person in the frame at a weird angle. I have tried using cascade classifiers but they don't work very well in my case. As a solution to this, I want to use TensorFlow's object detection API specifically import inception model into OpenCV and then do all the processing in OpenCV itself. I have used GOTURN tracker before which uses dnn module of OpenCV and reads the caffee model. I want to do something very similar, has anyone done anything similar to this or can anyone point me in the right direction?
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