Using our method, given a support image and skeleton we can
Detect and estimate human poses in images
Evaluate and pose a query image based on marked keypoints and limbs
Evaluate and improve your yoga pose accuracy
Detect and annotate poses in images and videos
Track chicken poses in real-time
Analyzez une vidéo de danse et affichez les poses 3D
Detect objects and poses in images
Analyze workout posture in real-time
Detect and label poses in real-time video
Analyze images and videos to detect and visualize human poses
Track body poses using a webcam
Estimate human poses in images
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.