xtstc131

xtstc131's repositories

LinkedIn-Scraper

This is a platform supporting the latest free software engineer job information for the new graduates. The keywords include software grad, entry Software, Software University, Software graduate, Software college, junior developer, will be used for LinkedIn job search.

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CSI5138_Project

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shopify_frontend_intern

This is a simple Movie searching and nomination tool

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cc2530-Humi-Temp-Light-with-GSM-model

get data form Humi & Temp & Light sensor then send it to Remote Service with GSM model (TCP)

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demoOCR-With-OpenCV

My first attempt to use OpenCV

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mall0x_Leetcode

This repository is used to save my leetcode solutions. Main language is C++.

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MeiziSpider_test

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My-TodoList

This is a TODO list application using React (Custom Hooks, Context), Firebase. Implemented add task, add projects, check completed task functions with the help of React framework. Stored data on Firebase database and used hook to send and get data from it. Deployed on the public internet using Netlify.

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awesome-deep-vision

A curated list of deep learning resources for computer vision

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CenterPose

Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image

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cheatsheets

Official Matplotlib cheat sheets

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COMP5704-Mainpage

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CSAPP_Lab

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CSI5137B_A2

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CSI5147_Final_Project

Final Project for CSI5147, which is a 3D Balance Ball game

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CSI6900_Pointcloud_Depthestimation

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dataStructureExp

My Data Structure Exp

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DSA

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malloX

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mallox.github.io

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MySnake

Snake by Java for fun

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Objectron

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 camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

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