https://github.com/alperiox/sign-language-classification-real-time
Real-time sign language classification with tensorflow 2 and opencv
https://github.com/alperiox/sign-language-classification-real-time
opencv opencv4 opencv4-python python3 tensorflow2 tf2
Last synced: 2 months ago
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Real-time sign language classification with tensorflow 2 and opencv
- Host: GitHub
- URL: https://github.com/alperiox/sign-language-classification-real-time
- Owner: alperiox
- Created: 2021-04-06T22:11:17.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-04-10T12:38:30.000Z (about 5 years ago)
- Last Synced: 2025-05-19T01:38:17.455Z (about 1 year ago)
- Topics: opencv, opencv4, opencv4-python, python3, tensorflow2, tf2
- Language: Python
- Homepage:
- Size: 3.46 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Usage:
* Download the whole repository and extract it to a folder.
* Run main.py script via console prompt.
* If you place your hand accurately enough, the model will classify the gesture. You should put your hand to visible green area in the opened webcam window
> Note: model is developed by using american sign language dataset from [here](https://www.kaggle.com/datamunge/sign-language-mnist). Therefore, it is recommended for you to follow the following diagram while using the model:
