Can we combine two models in which one was implemented in tensorflow and other one in pytorch?, to see the results of 2 models simultaneously?
To further explain my question. I am implementing 2 models. 1 is for action recognition and the 2nd is for weapon recognition.
If there is a situation where a person is punching or kicking someone and carrying a weapon, my model should be able to detect the action and also a weapon, if that person is carrying any weapon in hand simultaneously. This can be useful for security purposes.
So I want to combine these 2 models so that it could give me my desired output. Is that possible?
Also what if I implement the 1st model in tensorflow and the 2nd one in pytorch? Will it work while combining the models?
Topic keras tensorflow computer-vision deep-learning machine-learning
Category Data Science