Jupyter Notebook gesture-recognition Projects
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hand-gesture-recognition-mediapipe
This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
I am new to machinelearning , openCV and Mediapipe programming with python and I need help with a project , about Hand-gesture-recognition related to this git-hub repo: https://github.com/kinivi/hand-gesture-recognition-mediapipe , I want to ask some questions , that the docuntation does not explain clearly enough for me. I have modified the .py files a bit , in order to train the model in new stationary hand gestures (keypoint_classification) , but I need help with moving gestures (point_history_classification). Any help would be much appreciated. Thank you in advance!!!
Index
Project | Stars | |
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1 | hand-gesture-recognition-mediapipe | 415 |
2 | Neuro-Breakout | 15 |
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