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hi @abdou006356 , check this http://crcv.ucf.edu/data/UCF101.php , it including many fitness related exercises
you can also download videos from youtube using youtube-dl python package and preproccess with ffmpeg
and there is also kaggle dataset chek it out https://www.kaggle.com/datasets/hasyimabdillah/workoutfitness-video
Sure, I downloaded videos from YouTube and did the processing, but when I used them in computer vision and visualization, they didn’t fit in the model
What model are you using?
Siamese neural networks for comparison
Between the pre-saved video of the coach “trainer” and the trainee standing in front of the camera in real time
Did you consider standardizing the videos? Like making sure they have the same resolution, frame rate and length and maybe extract the features , to match the kaggle format
I need videos related to these exercises
you mention that u use kaggle dataset but they were not enough right
Some of the dataset stats I have
I want to optimize it so that it’s balanced
Did you think about trimming or padding the sequences so they all have a similar length It might help the model compare them better
Yes
What do you think of the function
Based on the dataset statistics, does it need to be modified so that the model build improves?
sorry for late replay @abdou006356 i didn’t get a notification , maybe try increasing maxlen a bit like around 600 to keep more useful data
also i like the added noise
also i sugest to do a normalization step
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