Using our method, given a support image and skeleton we can
Estimate camera poses from two images
Analyze images and videos to detect and visualize human poses
Detect human poses in images
Visualize pose-format components and points.
Upload and verify front, side, and back pose images
Play Solfeggio tones to enhance well-being
Estimate 3D character pose from a sketch
Transform pose in an image using another image
Showcasing Yolo, enabling human pose detection
Testing Human Stance detection
Detect human poses in videos
Evaluate and pose a query image based on marked keypoints and limbs
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.