This is an artificial intelligence application developed based on the concept of object detection. Analyze basketball pitches by examining data collected in object detection.

First thing you need to do is install dependencies:

pip install -r requirements.txt

Please note that you need a CPU to run the video analysis, CUDA device is required to run OpenPose.

Get a copy of this project by simply running the git clone command.

$ git clone https://github.com/blmendes/throw-the-ball.git

Tool that helps you when betting on NBA and NFL

Analyze basketball shots by digging into the data collected from object detection.

The object detection model is trained with the Faster R-CNN model architecture, which includes pretrained weight on COCO dataset.

• Change the model to a more efficient YOLOv5 (Pytorch)
• Improve UX
• Improve the efficiency, making it executable on web app and mobile services.

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