Using our method, given a support image and skeleton we can
Detect objects and poses in images
Mediapipe, OpenCV, CVzone simple pose detection
ITS PRETTY
Estimate and visualize 3D body poses from video
Detect and visualize poses in videos
Generate dance pose video from aligned pose
Upload and verify front, side, and back pose images
Estimate 3D character pose from a sketch
Analyze images and videos to detect and visualize human poses
Detect 3D object poses in images
Detect human poses in images
Combine and match poses from two videos
EdgeCape is a state-of-the-art tool designed for pose estimation. It allows users to pose an object in a query image by leveraging keypoints from a support image and a given skeleton. This innovative approach enables precise alignment and manipulation of objects in images, making it versatile for various applications in computer vision and graphic design.
• Support Image and Skeleton Input: Use a reference image and skeleton to guide the posing process.
• Keypoint Detection: Automatically detect and map keypoints from the support image to the query image.
• Pose Alignment: Align the object in the query image to match the pose defined by the support image and skeleton.
• Real-Time Processing: Efficiently process and generate results in real-time.
• Cross-Platform Compatibility: Operate seamlessly across multiple platforms and environments.
What file formats does EdgeCape support for images?
EdgeCape supports standard image formats such as JPG, PNG, and BMP.
Can I use multiple skeletons for a single object?
Yes, EdgeCape allows you to use multiple skeletons to achieve more complex or varied poses.
How much computational power do I need to run EdgeCape?
EdgeCape is optimized for efficiency, but optimal performance requires a modern GPU and at least 8GB of RAM.