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Cool experiments at the intersection of Computer Vision and Sports โšฝ๐Ÿƒ

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computer-vision deep-learning deep-neural-networks object-detection pytorch sports-analytics tutorial yolov5 yolov7 gpt-4

sports's Issues

Conserving the identities of the tracked objects

Is supervised tracking of objects possible?

If you look at the video, the identity of the right goalkeeper is 870 something, and then towards the end of the video he has the ID of 942. Obviously because he wasnt in the frame.

Is there are way to conserve the identity of the goalkeeper?

More generally is there a way to conserve the identity of an object if this object was distinct AND was gone from the frame view for long period of time (let say the goalkeeper were all red shirt and for 5 minutes he wasnt seen?)

A typo in repo description

I think you've made a typo in repo description. Examples of using Computer Vision in a (here ->)spot โšฝ๐Ÿƒ. I assume you want to share this repo with a broader audience. Please don't feel offended. Happens to everyone ;)

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