https://github.com/truongtannghia/knee-x-ray-keypoints-detection-with-yolo11-pose-estimation-training
Knee-X-Ray-Keypoints-Detection-with-YOLO11-Pose-Estimation-Training
https://github.com/truongtannghia/knee-x-ray-keypoints-detection-with-yolo11-pose-estimation-training
computer-vision python yolo11
Last synced: 8 months ago
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Knee-X-Ray-Keypoints-Detection-with-YOLO11-Pose-Estimation-Training
- Host: GitHub
- URL: https://github.com/truongtannghia/knee-x-ray-keypoints-detection-with-yolo11-pose-estimation-training
- Owner: TruongTanNghia
- License: mit
- Created: 2024-12-21T10:30:29.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-12-21T10:37:16.000Z (10 months ago)
- Last Synced: 2025-01-01T15:16:07.474Z (10 months ago)
- Topics: computer-vision, python, yolo11
- Language: Python
- Homepage:
- Size: 4.95 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Knee-X-Ray-Keypoints-Detection-with-YOLO11-Pose-Estimation-Training
This project uses YOLOv11 for keypoints detection and pose estimation on knee X-ray images. It processes input X-ray images, detects keypoints on the knees, and outputs annotated images showing the detected points.
## Requirements
To run this project, you will need to install the following Python packages:
- `flask`: Web framework to serve the app.
- `opencv-python`: For image processing tasks.
- `ultralytics`: YOLO model for object detection.
- `supervision`: For annotation and visualization.
- `pyresearch`: Custom package (make sure to install if needed).
You can install these dependencies via `pip`:
```bash
pip install flask opencv-python ultralytics supervision pyresearch