Hello everyone,
I am a developer and I am a newbie in machine learning. I have been researching for optical motion detections. I have been working for a Golf company and we have been using Polhemus devices for motion tracking. In our system, each swing (a short) is captured by 2 cameras from 2 sides (side and front of the player). So the output of each swing is 2 videos from 2 sides and a list of motion numbers for each video frame.
Basically, I can convert those videos to frames and can have motion numbers of each frame. So I intend to use existing data to train and create a model then using it to predict motion for new swings instead of using Polhemus devices.
I have a few questions and I hope someone here can help me:

Where should I start with machine learning to address this function? Could you please suggest some algorithms or framework? I know that PyTorch is a great one but I am not sure it fits with my project or not.
Is it possible to combine 2 sides of a frame as input of training data in PyTorch? I think that combining 2 sides of a frame will improve the accuracy.

Thank you so much!