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mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK and PyTorch.

mmsr

Open MMLab Image and Video Super-Resolution Toolbox, , including SRResNet, SRGAN, ESRGAN, EDVR, etc.

models

Models built with TensorFlow

mpegflow

A tool for easy extraction of motion vectors stored in video files

mv-tractus

A simple tool to extract motion vectors from mpeg videos.

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

paper-collection

A track of papers I read

pix2pix

Image-to-image translation with conditional adversarial nets

pretrained-models.pytorch

Pretrained ConvNets for pytorch: ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.

pseudo-3d-residual-networks

Pseudo-3D Convolutional Residual Networks for Video Representation Learning

pu21

Perceptual Uniform encoding for image/video quality assessment (2021 revision)

rbpn-pytorch

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

self-attention-gan-tensorflow

Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

senet

Squeeze-and-Excitation Networks

simpleh264analyzer

开源H.264码流分析器，主要用于H.264编码标准算法说明

single-image-super-resolution

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

softmax-splatting

an implementation of softmax splatting for differentiable forward warping using PyTorch

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

srntt

Image Super-Resolution by Neural Texture Transfer

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

tensorflow-learn

tensorflow_center_loss

Center Loss implementation with TensorFlow

tfpyth

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

vdnet

Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)

videosuperresolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

vision

Datasets, Transforms and Models specific to Computer Vision

vrn

:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

wassersteingan.tensorflow

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875