Using our method, given a support image and skeleton we can
Upload and verify front, side, and back pose images
Detect poses in real-time video
ITS PRETTY
Detect and estimate human poses in images
Detect and visualize poses in videos
Evaluate and pose a query image based on marked keypoints and limbs
Testing Human Stance detection
Analyze images to detect human poses
Showcasing Yolo, enabling human pose detection
Detect human poses in images
Transform pose in an image using another image
Detect... 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.