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darknet_ros

YOLO integration with ROS for real-time object detection

dbrt

Depth-Based Bayesian Robot Tracking

deep_object_pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

detectozord

utilizing PointNet+ PCL for object detection, classification and pose estimation from point clouds

diou-ssd-pytorch

Distance-IoU Loss into SSD

dope-ros-d435

3D Object Pose Estimation - ROS Kinetic Using Intel® RealSense D435

gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

generatingdatasetinblender

grasp_multiobject_multigrasp

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'

hrp2_apc

3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map (Humanoids2016)

hrsod

hybridpose

Implementation of HybridPose: 6D Object Pose Estimation under Hybrid Representation

hyperlabelimg

开源图像标注工具(支持人脸关键点/不规则四边形/多边形标注)

joint-cnn-mrf

Implementation of "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation"

keypoint-learning

Code for "Learning a Descriptor-Specific 3D Keypoint Detector" and "Learning to detect good 3d keypoints" -ICCV 2015, IJCV 2018

keypoint-maskrcnn

keypoint-network

This is an implementation of the keypoint network proposed in "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning [pdf]". Given a single 2D image of a known class, this network can predict a set of 3D keypoints that are consistent across viewing angles of the same object and across object instances. These keypoints and their detectors are discovered and learned automatically without keypoint location supervision [demo].

keypoints

Unsupervised learning of Object Landmarks through Conditional Image Generation

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

leetcode

ide is banned

lightdenseyolo

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

mask_r_cnn_keypoints

The original code is from "https://github.com/matterport/Mask_RCNN"

maskrcnn_grasp_detection

This repository is an integration of Mask RCNN (object detection and segmentation) and ROS to implement automated pick and place operation using the UR10 robot arm.

mx-deepim

Deep Iterative Matching for 6D Pose Estimation

nocs_cvpr2019

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras

obj_pose_eval

Tools for evaluation of 6D object pose estimation.

object-detection-and-tracking

YOLO & RCNN Object Detection and YOLOv3_Deep_SORT/SORT Object Tracking

object-localization

Object localization in images using simple CNNs and Keras

objectdatasettools

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 testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

objectposeestimationsummary

Resources (papers, datasets, rendering methods) in the domain of object pose estimation.