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Chen Hongjin's Projects

mooc-downloader icon mooc-downloader

An icourse163.org MOOC downloader implemented by .NET. 一枚由 .NET 实现的**大学 MOOC 下载器.

mooc_downloader icon mooc_downloader

学无止下载器,慕课下载器,Mooc下载,慕课网下载,**大学下载,爱课程下载,网易云课堂下载,学堂在线下载,超星学习通下载;支持视频,课件同时下载

mvtec-anomaly-detection icon mvtec-anomaly-detection

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

panoptic-deeplab icon panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

panopticfcn icon panopticfcn

Fully Convolutional Networks for Panoptic Segmentation (CVPR2021 Oral)

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-api-tesing icon python-api-tesing

python中文库-python人工智能大数据自动化接口测试开发。 书籍下载及python库汇总https://china-testing.github.io/

r2live icon r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

r3live icon r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

rellis-3d icon rellis-3d

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

segmenter icon segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

unetplusplus icon unetplusplus

Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

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