Stars
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…
Siamese Mask R-CNN model for one-shot instance segmentation
OpenMMLab Detection Toolbox and Benchmark
[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
Fruits-360: A dataset of images containing fruits and vegetables
cGAN-based Multi Organ Nuclei Segmentation
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
REEM (Redis Extendable Efficient Middleware) is a package to ease inter-robot communication via a central redis database
HybridPose: 6D Object Pose Estimation under Hybrid Representation (CVPR 2020)
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Pretrained models for TensorFlow.js
An open source platform for visual-inertial navigation research.
Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and…
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
📄 Awesome CV is LaTeX template for your outstanding job application
The official Python interface to interact with the Ensenso NxLib
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Explore object recognition, segmentation, and how to process depth data from camera sensors to help a robot better understand and navigate its world.
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image