Analyze images and videos to detect and visualize human poses
Visualize pose-format components and points.
Transform pose in an image using another image
Detect human poses in images
Analyze body and leg angles in images
ITS PRETTY
A visual scorer of two dance videos
Estimate 3D character pose from a sketch
Detect and pose estimate people in images and videos
Detect and annotate poses in images and videos
Showcasing Yolo, enabling human pose detection
Using our method, given a support image and skeleton we can
Small Space to test ViTPose
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.