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Self-supervised stereo matching based on perceptual loss and cropping trick
This is an implementation for our paper "Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching"
Customized Implementation of ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems
Anytime Stereo Image Depth Estimation on Mobile Devices (ICRA 2019)
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).
Learning from scratch a confidence measure
A high-resolution and high-accuracy monocular network
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
Convolutional Spatial Propagation Network
code and model of Pyramid Feature Selective Network for Saliency detection
Domain-invariant Matching Space Stereo Networks (MS-Nets)
Dual Attention Network for Scene Segmentation (CVPR2019)
Improved version of DBow2
Deep Learning Specialization by Andrew Ng on Coursera.
Keras code and weights files for popular deep learning models.
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.
Tensorflow implementation of https://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16 + pretrained weights + implementation of "Unsupervised Adaptation for Deep Stereo" (ICCV 2017)
Implementation of DispNet in Keras
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
domain transform filter for opencv
DPT refined on season dataset
Pytorch implementation of the several Deep Stereo Matching Network
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
The implementation of paper "FADNet: A Fast and Accurate Network for Disparity Estimation".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.