NoorMahammad-S / Hand_Gesture_Recognition_using_TensorFlow

This repository contains a Python script for real-time hand gesture recognition using TensorFlow Object Detection API. The script uses a pre-trained model for object detection to identify and visualize hand gestures in a live video stream.

AI & ML Project

Hand Gesture Recognition using TensorFlow Object Detection API

This repository contains a Python script for real-time hand gesture recognition using TensorFlow Object Detection API. The script uses a pre-trained model for object detection to identify and visualize hand gestures in a live video stream.

Prerequisites

Before running the script, make sure you have the following installed:

• Python
• TensorFlow
• OpenCV
• TensorFlow Object Detection API

You can install the required Python packages using the following command:

pip install tensorflow opencv-python

For TensorFlow Object Detection API installation, please refer to the official documentation: TensorFlow Object Detection API Installation

Usage

1. Clone the repository:

git clone https://github.com/NoorMahammad-S/hand-gesture-recognition.git
cd hand-gesture-recognition

2. Update the paths to the pre-trained model and label map in the script (hand_gesture_recognition.py). Replace the placeholders in the following lines with your actual paths:

# Path to the pre-trained model and label map
PATH_TO_MODEL = 'path/to/your/pretrained/model/saved_model'
PATH_TO_LABELS = 'path/to/your/label/map.pbtxt'

3. Run the script:

python hand_gesture_recognition.py

4. Press 'q' to exit the video stream.

Customization

• Adjust the min_score_thresh parameter in the script to control the confidence threshold for detection results.

min_score_thresh=0.60  # Adjust this threshold based on your needs

Feel free to customize the script according to your requirements.

Acknowledgments

• This project is based on the TensorFlow Object Detection API. Check out the official documentation for more details: TensorFlow Object Detection API