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Utilizes a recurrent neural network to track and predict soccer players shooting form. Using the input_to_result.py file any path can be entered to a video of a player shooting and the model will process the video and return if it is a good, ok, bad, or unrecognizable shot.. The process utilizes mediapipe, cv2, numpy, and other technologies.

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Samuel-WM/soccer_form_analysis_ai_components

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soccer_form_analysis_cnn_model

Utilizes a recurrent neural network to track and predict soccer players shooting form. Using the input_to_result.py or noyolo.py file any path can be entered to a video of a player shooting and the model will process the video and return if it is a good, ok, bad, or unrecognizable shot. The process utilizes mediapipe, cv2, numpy, and other technologies.

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Utilizes a recurrent neural network to track and predict soccer players shooting form. Using the input_to_result.py file any path can be entered to a video of a player shooting and the model will process the video and return if it is a good, ok, bad, or unrecognizable shot.. The process utilizes mediapipe, cv2, numpy, and other technologies.

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