https://github.com/chauhan-aman/realtime--tfod
Realtime-TFOD detects gestures like hello, thumbs-up, thumbs-down, and namaste in real time, enabling intuitive human-computer interaction.
https://github.com/chauhan-aman/realtime--tfod
computer-vision deep-learning jupyter-notebook object-detection opencv python tensorflow
Last synced: 3 months ago
JSON representation
Realtime-TFOD detects gestures like hello, thumbs-up, thumbs-down, and namaste in real time, enabling intuitive human-computer interaction.
- Host: GitHub
- URL: https://github.com/chauhan-aman/realtime--tfod
- Owner: Chauhan-Aman
- Created: 2025-01-11T17:14:19.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-27T09:38:58.000Z (about 1 year ago)
- Last Synced: 2025-05-27T10:39:07.683Z (about 1 year ago)
- Topics: computer-vision, deep-learning, jupyter-notebook, object-detection, opencv, python, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 79.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Realtime--TFOD: Real-Time Gesture Detection
Realtime-TFOD is a system that performs real-time gesture detection and classification using computer vision and deep learning. This project focuses on recognizing specific hand gestures such as hello, thumbs-up, thumbs-down, and namaste, providing a robust platform for intuitive interaction between humans and machines.
#### Key features include:
- Gesture Detection: Detect and classify hand gestures in real-time.
- Real-Time Analysis: Process video streams to provide instant feedback.
- Deep Learning Models: Utilize advanced deep learning techniques for accurate gesture recognition.
- Customizable Labels: Expand or modify the gesture labels as needed for specific use cases.
- Versatile Applications: Suitable for interactive kiosks, sign language interpretation, robotics, and other human-computer interaction scenarios.
## Technologies Used
- Computer Vision
- Deep Learning
- TensorFlow
- OpenCV
- Python
- pyqt5
## Demo
https://github.com/user-attachments/assets/c95d2bac-58d4-45d3-87df-5a72715ec65d
## How to Run This Project
1. Clone the repository:
```
git clone https://github.com/Chauhan-Aman/Realtime--TFOD.git
cd realtime-tfod
```
2. Set up a virtual environment:
```
python -m venv venv
source venv/bin/activate.ps1 # On Windows use `venv\Scripts\activate.ps1`
```
3. Install required dependencies:
```
Install required dependencies:
```
4. Create Your Gesture Dataset:
```
Run the Script Image Collection.ipynb
```
5. Train the model and do realtime gesture detection
```
Run the Script Training and Detection.ipynb
```
This setup will allow you to run the Gesture Detection system locally.