https://github.com/soumilgit/gesture-sign-language-detection-using-python
Recorded using my own built Chrome extension:)
https://github.com/soumilgit/gesture-sign-language-detection-using-python
aiproject computervision machine-learning-algorithms models opencv
Last synced: 6 months ago
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Recorded using my own built Chrome extension:)
- Host: GitHub
- URL: https://github.com/soumilgit/gesture-sign-language-detection-using-python
- Owner: Soumilgit
- Created: 2024-11-06T15:07:48.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-12-06T10:31:03.000Z (7 months ago)
- Last Synced: 2024-12-06T11:28:16.695Z (7 months ago)
- Topics: aiproject, computervision, machine-learning-algorithms, models, opencv
- Language: Jupyter Notebook
- Homepage: https://youtu.be/0sNlymm1Uqc
- Size: 1.38 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Gesture Sign Language Detection using Python
Future Scope : To integrate this in a website for the purpose of usability by the deaf/people in need!
# Folder Structure
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
```
## Quick Start
### Cloning the Repository
```
git clone https://github.com/Soumilgit/Gesture-Sign-Language-Detection-using-Python.git
cd hand-gesture-recognition-main
```
### Installation
Navigate to the project directory:
```
cd hand-gesture-recognition-main
```
Install the project dependencies using pip:
```
pip install [necessary modules/packages]
```
## Running the Project
## Showcase - please DO CHECK this, if facing issues with running on VSCode:
Start the local server:
```
python app.py
```
## End of MOST IMPORTANT step ABOVE
Accuracy SCORING + LOGGING KEYPOINTS and GESTURE HISTORIES for training CLASSIFIERS:
Start the local server:
```
python accuracy_score_checker.py
```
## Deployment Options
### Streamlit
```
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]
```