Help with resources for learning about YOLO from scratch

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I feel a bit stuck right now. Basically for a coursework project that I need to complete for my A-levels I want to make and train a YOLO algorithm to track what's going on around a car (the classic example of boxes that classify cars and pedestrians around you). The main pitfall is that we are not allowed to use any deep learning frameworks like tensorflow, pytorch, or keras and I can only rely on numpy. Are there any resources that anyone might know that would help me learn this?

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