woshizh951

woshizh951

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pytorch-blender

:sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

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ravens

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

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deformable-ravens

Code for ICRA 2021 paper: https://arxiv.org/abs/2012.03385

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ObjectPoseEstimationSummary

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

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bulletsim

Simulation environment with Bullet physics

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yumi

ROS packages pertaining to the ABB YuMi (IRB 14000) robot

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AwesomeDeepLearning

My Deep Learning Notes

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ICRA2019-paper-list

ICRA2019 paper list from PaopaoRobot

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yumi

ROS packages pertaining to the ABB YuMi (IRB 14000) robot

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yumipy

Python control interface for interacting with the ABB YuMi Robot

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shape_based_matching

try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers

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3D-ObjectDetection-and-Pose-Estimation

3D目标检测与位姿估计学习笔记

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Research-on-Pose-Estimation-of-Objects-2

物体位姿估计研究-2:复现位姿估计论文《Real-Time Seamless Single Shot 6D Object Pose Prediction》

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models

Models and examples built with TensorFlow

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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KinectGrabber

Grabber of Point Cloud Library based on Kinect for Windows SDK

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kinectToPly

Save a single kinect point cloud to a PLY file

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blenderkinect

A Blender Plugin that uses Microsoft Kinect to make 3D point clouds

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DenseFusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

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tensorflow

An Open Source Machine Learning Framework for Everyone

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librealsense

Intel® RealSense™ SDK

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MobileNet-SSD-RealSense

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

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