https://github.com/pushtogithub23/yolo-hand-gestures-detection
This project uses Python, OpenCV, and YOLOv8 for Hand Gesture Detection, enabling real-time data recording, annotation, and model development to recognize specific hand gestures.
https://github.com/pushtogithub23/yolo-hand-gestures-detection
computer-vision hand-gesture-recognition object-detection opencv-python roboflow yolov8
Last synced: 7 months ago
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This project uses Python, OpenCV, and YOLOv8 for Hand Gesture Detection, enabling real-time data recording, annotation, and model development to recognize specific hand gestures.
- Host: GitHub
- URL: https://github.com/pushtogithub23/yolo-hand-gestures-detection
- Owner: Pushtogithub23
- Created: 2024-10-30T12:18:10.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-10-30T12:56:49.000Z (11 months ago)
- Last Synced: 2025-01-14T12:53:38.620Z (9 months ago)
- Topics: computer-vision, hand-gesture-recognition, object-detection, opencv-python, roboflow, yolov8
- Language: Jupyter Notebook
- Homepage: https://universe.roboflow.com/puspendu-ai-vision-workspace/hand_gesture_detection-xdcpy
- Size: 5.52 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Hand Gesture Detection using YOLOv8
This repository features a project for **Hand Gesture Detection** utilizing Python, OpenCV, and YOLOv8. The project allows for real-time data recording, annotation, and model development aimed at recognizing specific hand gestures.
## Features
- **Hand Gesture Detection**:
- Captures hand gesture images from a webcam feed.
- Images are saved in specified folders for each gesture.
- Key-activated controls to start and stop image saving.
- **Dataset Preparation**:
- Provides a script to record hand gesture data.
- Supports annotation of the recorded data using Roboflow.
- **Model Training and Deployment**:
- Includes a Jupyter Notebook for training, evaluating, and deploying the YOLOv8 hand gesture detection model.
- **Separate Python Script real-time detection**:
- Includes a separate Python script that detects and displays hand gestures from a live camera feed.
## Project Structure
- `data_record.py`: Python script to record webcam feed data for hand gesture detection.
- `model_training.ipynb`: Jupyter Notebook for training, testing, and deploying the hand gesture detection model.
- `requirements.txt`: List of required Python packages.
- `testing.py`: Python script for real-time hand gesture detection.
## Setup and Requirements
### Prerequisites
- Python 3.x
- OpenCV
- YOLOv8
- Roboflow (for data annotation)
### Installation
1. Clone the repository:
```bash
git clone https://github.com/Pushtogithub23/yolo-hand-gestures-detection.git
cd yolo-hand-gestures-detection
```
2. Install required libraries:
```bash
pip install -r requirements.txt
```
3. Train your custom YOLOv8 model weights. Typically, the weights are saved in `runs/detect/train/weights/`.
## Usage
### Hand Gesture Data Recording
The `data_record.py` script captures images from a webcam feed to create a dataset of hand gestures.
1. Run the script:
```bash
python data_record.py
```
2. **Controls**:
- Press **'s'** to start saving images.
- Press **'p'** to stop and close the program.
This will save images in the `DATA/CallMe` directory or any folder specified in `capture_hand_images()`.
### Data Annotation
After recording the hand gesture data, images were annotated on [Roboflow](https://roboflow.com/). Annotation was essential for training the YOLOv8 model with labelled gesture data.
### Hand Gesture Detection Notebook
The `model_training.ipynb` notebook provides:
- Training and testing steps for the hand gesture detection model.
- Code to evaluate model performance.
- Guidance for deploying the trained model.
## Project link
- You can find the project on Roboflow by clicking [here](https://universe.roboflow.com/puspendu-ai-vision-workspace/hand_gesture_detection-xdcpy)
- You can find the training logs on wandb by clicking on this [link](https://wandb.ai/ranapuspendu24-iit-madras-foundation/Ultralytics/runs/zayjstbb?nw=nwuserranapuspendu24)