Future Scope : To integrate this in a website for the purpose of usability by the deaf/people in need!
Here is the folder structure of the repository :
.github │ └─ FUNDING.yml LICENSE README.md accuracy_score_checker.py ├─ app.py ├─ model __init__.py keypoint_classifier │ │ ├─ keypoint.csv │ │ ├─ keypoint_classifier.hdf5 │ │ ├─ keypoint_classifier.keras │ │ ├─ keypoint_classifier.py │ │ ├─ keypoint_classifier.tflite │ │ └─ keypoint_classifier_label.csv point_history_classifier │ ├─ point_history.csv │ ├─ point_history_classifier.hdf5 │ ├─ point_history_classifier.py │ ├─ point_history_classifier.tflite │ └─ point_history_classifier_label.csv ├─ realTime_keypoint_classification.ipynb ├─ realTime_point_history_classification.ipynb └─ utils __init__.py └─ cvfpscalc.py git clone https://github.com/Soumilgit/Gesture-Sign-Language-Detection-using-Python.git cd hand-gesture-recognition-main Navigate to the project directory:
cd hand-gesture-recognition-main Install the project dependencies using pip:
pip install [necessary modules/packages] Start the local server:
python app.py Accuracy SCORING + LOGGING KEYPOINTS and GESTURE HISTORIES for training CLASSIFIERS:
Start the local server:
python accuracy_score_checker.py cd hand-gesture-recognition-main %ls !pip install streamlit -q !wget -q -O - ipv4.icanhazip.com !streamlit run app.py & npx localtunnel --port [port_number]