windcr

Pinned Repositories

AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
0 2 00
caffe-public
Caffe
Language:C++0 2 00
CVPR18-SFTGAN
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform (CVPR 2018) http://mmlab.ie.cuhk.edu.hk/projects/SFTGAN/
Language:Lua0 2 00
EAST
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
Language:Python1 1 00
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Language:Python0 2 00
EDSR-Tensorflow
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
Language:Python0 2 00
Facial-Recognition-Research-CPP
I am working in the openCV space and dealing with Histograms of Oriented Gradients (HOGs), Local Binary Patterns (LBPs), Sobel operator/filter, other filters, and more.
Language:C++0 2 00
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Language:Python0 2 00
super-resolution
collection of super-resolution models & algorithms
Language:Python1 2 00
tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
Language:Python1 2 00

windcr's Repositories

windcr/EAST
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
Language:Python1 1 00
windcr/super-resolution
collection of super-resolution models & algorithms
Language:Python1 2 00
windcr/tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
Language:Python1 2 00
windcr/AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
0 2 00
windcr/caffe-public
Caffe
Language:C++0 2 00
windcr/CVPR18-SFTGAN
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform (CVPR 2018) http://mmlab.ie.cuhk.edu.hk/projects/SFTGAN/
Language:Lua0 2 00
windcr/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Language:Python0 2 00
windcr/EDSR-Tensorflow
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
Language:Python0 2 00
windcr/Facial-Recognition-Research-CPP
I am working in the openCV space and dealing with Histograms of Oriented Gradients (HOGs), Local Binary Patterns (LBPs), Sobel operator/filter, other filters, and more.
Language:C++0 2 00
windcr/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Language:Python0 2 00
windcr/image-quality-tools
Language:Matlab2 0
windcr/MemNet-Tensorflow
Tensorflow implementation of MemNet(http://cvlab.cse.msu.edu/pdfs/Image_Restoration%20using_Persistent_Memory_Network.pdf).
Language:Python2 0
windcr/models
Models built with TensorFlow
Language:Python2 0
windcr/opencv
Open Source Computer Vision Library
Language:C++2 0
windcr/PixelNN
Language:Jupyter Notebook2 0
windcr/pytorch-ssim
pytorch structural similarity (SSIM) loss
Language:Python2 0
windcr/SRGAN
Language:Python2 0
windcr/SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
Language:Jupyter Notebook2 0
windcr/subpixel
subpixel: A subpixel convnet for super resolution with Tensorflow
Language:Jupyter Notebook2 0
windcr/Super-Resolution.Benckmark
Benchmark and resources for single super-resolution algorithms
2 0
windcr/tensorflow-vdsr
A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'
Language:Python2 0
windcr/wdsr_ntire2018
Code of our winning entry to NTIRE 2018 super-resolution challenge, CVPR Workshop 2018
Language:Python2 0