Analyze images and videos to detect and visualize human poses
Evaluate and improve your yoga pose accuracy
Create a video using aligned poses from an image and a dance video
Small Space to test ViTPose
Detect and estimate human poses in images
Detect and annotate poses in images
Analyzez une vidéo de danse et affichez les poses 3D
Generate detailed pose estimates from images
Mediapipe, OpenCV, CVzone simple pose detection
Generate dance pose video from aligned pose
Detect 3D object poses in images
Estimate camera poses from two images
Evaluate and pose a query image based on marked keypoints and limbs
ViTPose Transformers is a cutting-edge AI tool designed for pose estimation. It leverages the power of Vision Transformers (ViT) to analyze images and videos, detecting and visualizing human poses with high accuracy. This technology is particularly useful for applications in fitness, healthcare, and computer vision, where understanding human movement and posture is essential.
pip install vit-pose-transformers to install the library.import vit_pose in your Python script.model = vit_pose.Model().poses = model.detect(image).model.draw(image, poses).What makes ViTPose Transformers different from other pose estimation tools?
ViTPose Transformers stands out by using Vision Transformers, which capture long-range dependencies and contextual information better than traditional CNN-based models.
Can ViTPose Transformers process videos in real time?
Yes, ViTPose Transformers is optimized for real-time video processing, making it suitable for applications like live pose tracking.
Does ViTPose Transformers support multi-person pose estimation?
Yes, it can detect and track poses of multiple individuals in a single frame, making it ideal for crowd analysis or group fitness applications.