https://github.com/ake144/prodigy_ml_04
Real-time Hand Gesture Recognition using TensorFlow & OpenCV
https://github.com/ake144/prodigy_ml_04
Last synced: over 1 year ago
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Real-time Hand Gesture Recognition using TensorFlow & OpenCV
- Host: GitHub
- URL: https://github.com/ake144/prodigy_ml_04
- Owner: ake144
- Created: 2024-02-07T14:52:10.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-07T15:21:14.000Z (over 2 years ago)
- Last Synced: 2025-02-05T06:34:10.945Z (over 1 year ago)
- Language: Python
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Develop a hand gesture recognition model that can accurately identify and classify different hand gestures from image or video data, enabling intuitive human-computer interaction and gesture-based control systems.
in this project i have used
OpenCV is a real-time Computer vision and image-processing framework built on C/C++
MediaPipe is a customizable machine learning solutions framework developed by Google. It is an open-source and cross-platform framework, and it is very lightweight. MediaPipe comes with some pre-trained ML solutions such as face detection, pose estimation, hand recognition, object detection, etc.
TensorFlow is an open-source library for machine learning and deep learning developed by the Google brains team. It can be used across a range of tasks but has a particular focus on deep neural networks.
and numpy