I want to recognize the people, the faces and the joints of the body. All this is possible, but with different models, if I’m not mistaken.
My question is, if I have this code that detects objects well:
As I can make it detect the face and the joints of the body.
I am new to jetson nano, I want to create a code to keep it always running on my Jetson Nano, with Python. That is, sometimes I will use only one model, sometimes I will use another, sometimes both together. Going in and out of the code to change the model is very slow. I’m going to create a database to control the While conditionals, that is, if X table is false, the model is deactivated, if it is true, the model is activated.
Technically you can do this (if you have enough memory, which is not certain on Nano), just load the multiple models like you see in detectnet.py / posenet.py and combine those parts into one script. You will want to do your own command-line parsing for the model loading or avoid that, since the command-line parsing in jetson-inference is setup for just one model.
Also, you may be able to use just posenet for your uses, because it can provide you bounding box of the whole human, and you can also look for the face parts of the pose. That would be a lot faster than running three separate models to accomplish essentially the same thing.