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blendercubesat

bpycv

Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

bpycv_example_data

Example data for try bpycv

chinesechess-alphazero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

clean-pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

darknet

Convolutional Neural Networks

dc3

DC3: A Learning Method for Optimization with Hard Constraints

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

ffb6d

[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.

gmps

Guided-Meta Policy Search

google-research

Google Research

gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

learnopencv

Learn OpenCV : C++ and Python Examples

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

matchnorm

This repository contains python scripts for training and testing of paper Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World, ECCV2022.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

multi-modal-regression

Models and Loss functions for our Mixed Classification-Regression framework for 3D Pose Estimation

neuralrecon

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

openrobotics

Sharing the joy of robot programming in the spirit of open source

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

polyhedra.jl

Polyhedral Computation Interface

pontryagin-differentiable-programming

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

posecnn-pytorch

PyTorch implementation of the PoseCNN framework

qpth

A fast and differentiable QP solver for PyTorch.

renderforcnn

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views

robotics-object-pose-estimation

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

rotationcontinuity

Coder for "On the Continuity of Rotation Representations"

slambook2

edition 2 of the slambook