Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
Track football players on the field using computer vision techniques in sports experiments.
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sports has 551 stars on GitHub. It has been forked 41 times. sports is written mainly in Jupyter Notebook. It has been in active development since 2022. Its main topics are computer-vision, deep-learning, deep-neural-networks, gpt-4.
Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
sports is an open-source project.
Yes. sports is free and open source — you can use, modify and self-host it.
sports is written mainly in Jupyter Notebook.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.