Stars
Seam Carving for Content Aware Image Resizing
The unofficial implementation of Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting via TensorFlow
Tool for automating common video key-frame extraction, video compression and Image Auto-crop/Image-resize tasks
这是用opencv以颜色直方图法进行的关键帧提取 和 用Python以流光分析写的关键帧提取
This repository contains script to divide a video into key frames.
Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas
OpenMMLab Detection Toolbox and Benchmark
Implementation of Non-local Block.
Non-local Neural Networks for Video Classification
Pytorch implementation for "A New Dataset and Transformer for Stereoscopic Video Super-Resolution"
Pytorch implementation of FlowNet by Dosovitskiy et al.
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
deep learning for image processing including classification and object-detection etc.
Generic Foreground Segmentation in Images
A repository to caculate the just noticable difference of an image by Python
HVS-inspired Signal Degradation Network for Just Noticeable Difference Estimation
[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning
[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution
End-to-end deep multi-score model for No-reference stereoscopic image quality assessment
3D Saliency guided Deep Quality predictor for No-Reference Stereoscopic Images
Demo code of "Blind Stereoscopic Video Quality Assessment: From Depth Perception to Overall Experience", TIP 2018
This is the code and paper for the research project of Stereoscopic Image Quality Assessment
A simple toolkit for detecting and cropping main body from pictures. Support face and saliency detection.
Code for paper "Saliency-aware Stereoscopic Video Retargeting"
📷 Threaded depth-map cleaning and inpainting using OpenCV