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The following parameters have been analysed for a short badminton singles match video: 1. Player1 and Player 2 are detected with bounding boxes, 2. Recording and displaying the Start time and end time of the match, 3. Displaying the number of hits made by each player , 4. Displaying the number of out of the boundary hits (AWAYs) made by each player during the course of match, 5. Shuttlecock is detected in every frame of the video with a bounding box.

Jupyter Notebook 100.00%
badmintonanalysis cv imageclassification objectdetection objecttracking

badminton-sport-analysis-computer-vision's Issues

How to download the code?

Thank you for your work. I am quite interesting in badminton.
Would you mind telling me where the link is ?

the complete set of folders mentioned below are downloaded from Onedrive link by the code in this notebook for further processing.

Where is requirements.txt?

pip install -r requirements.txt

error cudnn

when i running densenet in pytorch there is an error
/media/yosua/NewVolume/badminton-env/lib/python3.7/site-packages/torch/nn/functional.py in batch_norm(input, running_mean, running_var, weight, bias, training, momentum, eps)
1921 return torch.batch_norm(
1922 input, weight, bias, running_mean, running_var,
-> 1923 training, momentum, eps, torch.backends.cudnn.enabled
1924 )
1925

RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
how to resolve that? i have use cudnn version 7.6.5 and cuda 10.1

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