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lisongjiang's Projects

30min_guides icon 30min_guides

覃健祥的学习笔记,各种几十分钟入门的文档

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

basicsr icon basicsr

Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.

bayerunifyaug icon bayerunifyaug

Python toolbox for Bayer Raw image unification and augmentation

bicubic_pytorch icon bicubic_pytorch

A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.

c4 icon c4

C in four functions

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

deep-activity-rec icon deep-activity-rec

Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -

deep-learning-interview-book icon deep-learning-interview-book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

deeplearning-500-questions icon 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[email protected] 版权所有,违权必究 Tan 2018.06

easypr icon easypr

An open source project for Chinese plate recognition in unconstrained situation. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

eos icon eos

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

extremenet icon extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

face3d icon face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

fast_akaze icon fast_akaze

This project optimizes Accelerated-KAZE Feature detector and descriptor

flora_pac icon flora_pac

A PAC(Proxy auto-config) file generator with fetched China IP range, which helps walk around GFW.

fnnsr icon fnnsr

This is the implementation of paper "Li, J., et al., A Frequency Domain Neural Network for Fast Image Super-resolution. International Joint Conference on Neural Networks (IJCNN), 2018."

gms-feature-matcher icon gms-feature-matcher

C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"

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