Gou Minghao (GouMinghao)

GouMinghao

Geek Repo

Company:Shanghai Jiao Tong University

Location:Shanghai

Home Page:gouminghao.github.io

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Gou Minghao's repositories

Geometry3D

Geometry3D: 3D Computational Geometrics Library

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rgb_matters

Implementation for ICRA 2021 paper "RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images"

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new_SJTU_thesis_template

SJTU thesis template version 2021, modified from the official version

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Graphicalization-of-accelerometer-data-using-Matlab-and-STM32

STM32 communicates with MPU-9250 9-axis accelerometer using and Matlab communicates with STM32 using Serial communication. Then the graphicalization of data

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Car-Distance-Estimation

Estimate the distance of the cars using binocular camera

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graspnms

Grasp NMS

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naivert

An Implementation of Ray Tracing Algorithm Using Phong Illumination Model

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open3d_plus

open3d_plus

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mobile-mouse

using the mobile phone as the mouse to control the computer using bluetooth

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python-urx

Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/

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naive-wiki

A Naive Implementation of Wikipedia Search Engine

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acronym

This repository contains a sample of the grasping dataset and tools to visualize grasps, generate random scenes, and render observations. The two sample files are in the HDF5 format.

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cubemix

Play IBM Object Storage service in Minecraft!

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delta_copy

delta copy for file backup

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Hierarchical-Localization

Visual localization made easy with hloc

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librealsense

Intel® RealSense™ SDK

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MFC-SerialRead

Read Serial Communication Data and Show the Data using MFC

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naive_ptq

simple implementation of ptq deployment

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ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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pscore_match

A Python package for propensity score matching

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pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

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Single-Cycle-CPU

Single Cycle MIPS CPU Simulation with Verilog VHDL

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TrackEval

HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

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