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baiduimagespider

一个超级轻量的百度图片爬虫

brisque

Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE)

compare-images

python-модуль для получения SSIM и PSNR двух изображений c помощью ffmpeg

dataparallel-pytorch

Data parallelism implementation for CIFAR-10 classification with pytorch

dbpn-pytorch

Deep Back-Projection Networks for Super-Resolution (Winner of NTIRE2018 and PIRM2018)

depth-semantic-fully-conv

PyTorch Implementation for CS231N Course Project - "Fully Convolutional Network for Depth Estimation and Semantic Segmentation"

diagonalwise-refactorization-tensorflow

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions (in TensorFlow)

diya-cartoongan

Implementation and modification of CartoonGAN

edsr-tensorflow

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

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

euclidean_distance

calculate the euclidean distance between two RGB images

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast-ssim

Fast algorithm of SSIM and PSNR for Python and speed up 30x for SSIM 10x for PSNR

ffhq-dataset

Flickr-Faces-HQ Dataset (FFHQ)

fsrcnn_pytorch

An implementation of FSRCNN in PyTorch

handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

image_dehaze

Single Image Haze Removal Using Dark Channel Prior

interleavedgroupconvolutions

keyword-detection

Simple Speech Keyword Detecting with Depthwise Separable Convolutions | DLology

makeittalk

mediapipe

ms_ssim_pytorch

ms_ssim loss function implemented in pytorch

multimodal_transfer

tensorflow implementation of 'Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer'

neural-image-synthesis

Research experiment to Improve the brush strokes in Neural style Transfer(Ongoing)

pd-denoising-pytorch

Code of 'when AWGN-based Denoiser Meets Real Noises'

pl4nn

Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.

python-ssim

python-ssim-1

batch images calculate python-ssim

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-sobel

Sobel operator-based loss functions and operation