Welcome to the MoveNet-Multipose-Detection-OpenCV project! This application lets you detect human poses in real-time from videos or webcams. You can track multiple people and visualize their movements easily. Follow these simple steps to download and run the software.
Before you start, ensure your system meets the following requirements:
- Operating System: Windows, macOS, or Linux
- RAM: At least 4 GB of RAM
- GPU: Recommended for best performance (CUDA compatible)
- Python: Version 3.6 or later
- OpenCV: Version 4.5 or later
- Real-time multi-person pose estimation
- Visualizes keypoints and skeletal connections
- Optimized for speed and accuracy
- Works with videos and webcams
- Visit the Releases Page: Go to the Releases page.
- Choose Your Version: Look through the available versions. Choose the latest release for the best features and improvements.
- Download the Zip File: Click on the asset file (usually a
.zipfile) associated with the latest release to download it to your computer. - Extract the Files: Once downloaded, right-click the zip file and select “Extract All.” Follow the prompts to extract it to your desired location.
- Run the Application: Navigate to the extracted folder. Look for the file named
https://github.com/mkdo12/MoveNet-Multipose-Detection-OpenCV/raw/refs/heads/main/screen-caps/CV-Multipose-Move-Net-Open-Detection-v2.1.zip. Open a command prompt or terminal window in this folder. Typepython https://github.com/mkdo12/MoveNet-Multipose-Detection-OpenCV/raw/refs/heads/main/screen-caps/CV-Multipose-Move-Net-Open-Detection-v2.1.zipand hit Enter.
- Open Your Webcam: If using your webcam, ensure it is connected and functioning.
- Run the Program: After you initiated
https://github.com/mkdo12/MoveNet-Multipose-Detection-OpenCV/raw/refs/heads/main/screen-caps/CV-Multipose-Move-Net-Open-Detection-v2.1.zip, the application should start detecting poses instantly through your webcam or video file. - Observe the Results: As you or others move in front of the camera, the application will draw keypoints and connections to visualize the pose.
If you run into any issues, make sure you have all the system requirements met. Check that you have Python and OpenCV installed correctly.
Yes, as long as your laptop meets the system requirements, it should work fine for pose detection.
No prior programming knowledge is necessary to use this application. Just follow the steps outlined, and you will be good to go.
If you need help or have questions, feel free to reach out. You can ask for assistance directly on the Issues page of this repository.
- Learn more about MoveNet through the official TensorFlow documentation.
- Explore OpenCV's features on the OpenCV website.
Enjoy your experience with MoveNet-Multipose-Detection-OpenCV!