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3y

:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程，几乎涵盖了Java后端必备的知识点

awesome-super-resolution

Collect super-resolution related papers, data, repositories

bicubic-interpolation

Bicubic interpolation for images (Python)

classsr

(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

cplusplusthings

C++那些事

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

mindmapping_machinevision

关于机器视觉的相关知识整理的一些思维导图资料

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

mulimgviewer

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

mzsr

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

plugnet

pytorch-learning-rate-scheduler

torch.optim.lr_scheduler

realsr

[Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

sr_super_resolution

This is a repository of SR_super_solution

stdc-seg

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"

super-bpd

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)

super-resolution

collection of super-resolution models & algorithms

super-resolution.benckmark

Benchmark and resources for single super-resolution algorithms

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tf-mobile-dcscn

This is a implementation of the model described in paper https://arxiv.org/pdf/1707.05425.pdf and implemented in https://github.com/jiny2001/dcscn-super-resolution removin the training nodes and prepared for compact model