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How to train a neuron to recognize objects in a video?
People orient plz. It is necessary to train the neuron on the video recording to identify objects (including the acceleration of these objects, the distance traveled, etc.). You need a sequence of actions and materials on the topic.
1. For this purpose, which neuron should be taken as a basis (from Google, Microsoft, etc.)?
2. In what language is it better to teach her?
3. What algorithm to use?
4. How to prepare data, etc.?
5. Perhaps there is a certain Framework, a wrapper for a neuron?
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If the definition of objects means detection and recognition, then:
1. You can take the detection api from tensorflow (python, there seems to be an api for c ++) or YOLOv2 (c? c ++, python).
2. Neurons work with video as a sequence of images => for tracking and everything else, data from neurons must be transferred to the tracker (you can use the Hungarian algorithm), google in the direction of multi object tracking.
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