Detect and visualize human poses in images
Testing Human Stance detection
Mediapipe, OpenCV, CVzone simple pose detection
Create a video using aligned poses from an image and a dance video
Detect poses in real-time video
Using our method, given a support image and skeleton we can
Detect and visualize poses in videos
Detect and annotate poses in images and videos
Detect and label poses in real-time video
Detect and highlight key joints in an image
This app is used for Human pose Detection
Estimate human poses in images
Track chicken poses in real-time
ViTPose is a cutting-edge pose estimation tool designed to detect and visualize human poses in images. It leverages advanced AI technology to identify key body points and create a skeletal representation of the human body. Ideal for applications in fitness, healthcare, and computer vision, ViTPose provides precise and efficient pose analysis.
• Image Pose Detection: Accurately identifies human body keypoints in images. • Transformer-Based Architecture: Utilizes state-of-the-art transformer models for robust pose estimation. • Real-Time Processing: Delivers fast and responsive results for seamless user experience. • High Accuracy: Achieves superior precision in detecting body joints and posture. • Multi-Person Support: Capable of estimating poses for multiple individuals in a single image. • Customizable Output: Offers flexible visualization options for developers. • Cross-Platform Compatibility: Supports integration with various applications and frameworks.
pip install vitpose
from vitpose import ViTPose
image = cv2.imread("path_to_your_image.jpg")
model = ViTPose()
results = model.detect(image)
output = model.draw Keypoints(image, results)
cv2.imwrite("output.jpg", output)
What file formats does ViTPose support?
ViTPose supports common image formats like JPEG, PNG, and BMP. For best results, use high-resolution images.
Is ViTPose suitable for real-time applications?
Yes, ViTPose is optimized for real-time processing, making it ideal for applications like video analysis or interactive systems.
How accurate is ViTPose compared to other tools?
ViTPose achieves state-of-the-art accuracy by leveraging transformer-based architectures, outperforming many traditional pose estimation methods.