Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
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Updated
Aug 5, 2025 - Python
Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Collection of object models compatible with pybullet simulator https://github.com/bulletphysics/bullet3/tree/master/examples/pybullet
MuJoCo models for YCB objects (https://www.ycbbenchmarks.com/)
Instance Segmentation Aided 6D Object Pose and Velocity Tracking using an Unscented Kalman Filter
Scripts to generate and process point clouds in YCB dataset.
The Fast-YCB Dataset
This project allows users to generate synthetic videos from CAD models, including .npy files with additional information. Models are loaded dynamically into a Blender scene, and the camera smoothly moves along spherical points to create the final video.
Franka Panda pick-and-place in PyBullet using Image-Based Visual Servoing (IBVS). Supports ground-truth, color, GroundingDINO, and SAM detectors with ROS 2/RViz integration.
Benchmarking parallel simulations on pybullet.
YCB and BigBird 3D mesh reconstruction from high-res RGB images with known camera poses and intrinsics.
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