fraunhoferhhi/casapose
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)
This project helps industrial engineers, robotics developers, and quality control professionals accurately determine the 3D position and orientation of multiple objects in an image. You provide it with images containing various objects and 3D models of those objects, and it outputs their precise poses. This is ideal for scenarios where machines or systems need to understand the exact location and rotation of physical items.
No commits in the last 6 months.
Use this if you need to precisely locate and orient multiple known objects from camera images, such as for robotic manipulation or automated inspection.
Not ideal if you need to identify objects that are not represented by a known 3D model, or if you only need 2D detection without depth and rotation information.
Stars
41
Forks
2
Language
Python
License
—
Category
Last pushed
Nov 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/fraunhoferhhi/casapose"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DeepLabCut/DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with...
openpifpaf/openpifpaf
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and...
lambdaloop/anipose
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
DIYer22/bpycv
Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
NeLy-EPFL/DeepFly3D
Motion capture (markerless 3D pose estimation) pipeline and helper GUI for tethered Drosophila.