Pinned Repositories
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
foundpose
Implementation of "FoundPose Unseen Object Pose Estimation with Foundation Features", ECCV 2024
hot3d
HOT3D: An egocentric dataset for 3D hand and object tracking
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
bop_renderer
A simple C++ off-screen renderer with Python bindings utilized in the BOP toolkit.
bop_toolkit
A Python toolkit of the BOP benchmark for 6D object pose estimation.
epos
Code for "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.
obj_pose_eval
Tools for evaluation of 6D object pose estimation.
sixd_toolkit
Python scripts to facilitate participation in the SIXD Challenge.
t-less_toolkit
Python scripts to facilitate work with the T-LESS dataset.
thodan's Repositories
thodan/bop_toolkit
A Python toolkit of the BOP benchmark for 6D object pose estimation.
thodan/sixd_toolkit
Python scripts to facilitate participation in the SIXD Challenge.
thodan/obj_pose_eval
Tools for evaluation of 6D object pose estimation.
thodan/epos
Code for "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.
thodan/t-less_toolkit
Python scripts to facilitate work with the T-LESS dataset.
thodan/bop_renderer
A simple C++ off-screen renderer with Python bindings utilized in the BOP toolkit.
thodan/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
thodan/objectsynth
thodan/camera.py
Python module for projective camera model
thodan/BlenderProc
A procedural blender pipeline to generate images for deep learning
thodan/caffe
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
thodan/OpenNI2
OpenNI2
thodan/pyopengl-experiments
I'm going to learn Python and OpenGL
thodan/requests-for-research
A living collection of deep learning problems
thodan/tensorflow
Computation using data flow graphs for scalable machine learning