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]