Using our method, given a support image and skeleton we can
Detect and estimate human poses in images
Estimate human poses in images
Estimate human poses in images
Small Space to test ViTPose
Estimate hand pose from an RGB image
Generate dance pose video from aligned pose
Evaluate and improve your yoga pose accuracy
Showcasing Yolo, enabling human pose detection
Synthpose Markerless MoCap VitPose
Analyze body and leg angles in images
Detect poses in real-time video
Estimate and visualize 3D body poses from video
EdgeCape is a cutting-edge tool designed for pose estimation, enabling users to accurately position objects in images. Given a support image and a skeleton, EdgeCape leverages advanced AI algorithms to match keypoints, allowing precise alignment and manipulation of objects within a query image. It simplifies the process of image editing and transformation, making it ideal for professionals and creators.
• Robust Matching: Accurately identifies and maps keypoints between images.
• Pose Estimation: Estimates and aligns skeletons or poses in queried images.
• Image Alignment: Seamlessly aligns objects based on reference images.
• Multi-Image Support: Works with various types of images, including RGB and depth images.
• High Precision: Delivers accurate results with minimal manual intervention.
What inputs does EdgeCape require?
EdgeCape requires a support image and a skeleton, along with a query image to apply the transformation.
How accurate is EdgeCape?
EdgeCape offers high accuracy due to its advanced keypoint matching and pose estimation algorithms.
Can EdgeCape work with different types of images?
Yes, EdgeCape supports various image formats, including RGB and depth images, ensuring versatility in different use cases.