Small Space to test ViTPose
Analyze workout posture in real-time
Showcasing Yolo, enabling human pose detection
Analyze your powerlifting form with video input
Mediapipe, OpenCV, CVzone simple pose detection
Transform pose in an image using another image
Using our method, given a support image and skeleton we can
Detect 3D object poses in images
Estimate camera poses from two images
Detect objects and poses in images
Create a video using aligned poses from an image and a dance video
Estimate 3D character pose from a sketch
Estimate hand pose from an RGB image
Vit Pose Playground is a tool designed for testing and exploring ViTPose, a pose estimation model. It provides a user-friendly environment to detect and visualize human keypoints in images, allowing users to experiment with different inputs and settings.
What file formats does Vit Pose Playground support?
• Vit Pose Playground supports common image formats like JPEG, PNG, and BMP.
Can I use Vit Pose Playground without an internet connection?
• Yes, Vit Pose Playground can be used offline once installed.
Can I train my own model using Vit Pose Playground?
• No, Vit Pose Playground is designed for testing and visualization. It does not currently support model training.