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View Code? Open in Web Editor NEWA curated list of awesome computer vision resources
A curated list of awesome computer vision resources
I was thinking a list containing the latest papers in computer vision similar to https://github.com/kjw0612/awesome-deep-vision would be great, maybe in a separate .md file linked in the main README.md.
I would be interested in participating actively in this.
This repository has been deleted!
Dear @jbhuang0604,
I would be appreciative if you can add this list to your repo:
https://github.com/cmhungsteve/Awesome-Transformer-Attention
I have already made a pull request for this:
#106
Thank you so much!
Another nice list to perhaps consider adding
https://github.com/collinskatie/awesome-inverse-graphics
suggest item:OpenPose Project
Books >> Machine learning >> Neural Networks for Pattern Recognition link is dead.
Many of latest news and papers on ML and Object recognition for the community happens from some specific sub reddits. How about adding a section which shows the best sub reddits for people to get their daily dose on ML news
@jbhuang0604
Please add link to CPVR conference for 2016 to 2020.
Hey! Great work man.
If you want, you can add our blog: https://theaisummer.com/
It would be super awesome.
Thanks in advance and congrats again.
N.A.
@govindnarendhar created a review titled:
Awesome Computer Vision review
on repo-reviews.github.io to share their experience using awesome-computer-vision.
If you would like to help your super-users share their experiences using your repo, add a badge to your README.md.
We hope that sharing these experiences helps your users increase their productivity.
--
Please be kind,
I’m a human!
You even create a section for Songs
.
Under
Tutorials and talks> Computer Vision > Computer Vision Talks - Lectures, keynotes, panel discussions on computer vision
That link to http://www.computervisiontalks.com/ is no good.
Hello, I wrote a tool that can validate README links (valid URLs, not duplicate). It can be run when someone submits a pull request.
It is currently being used by
Examples
If you are interested, connect this repo to https://travis-ci.org/ and add a .travis.yml
file to the project.
See https://github.com/dkhamsing/awesome_bot for options, more information
Feel free to leave a comment 😄
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prolly a minor issue
Floating Scale Surface Reconstruction link is dead
http://www.gris.informatik.tu-darmstadt.de/projects/floating-scale-surface-recon/
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Hi,
thanks for putting those resources together.
perhaps you can add a link to this one?
https://github.com/3d-morphable-models/curated-list-of-awesome-3D-Morphable-Model-software-and-data
Best
Bernhard
Computer Vision Development to Production Container:
https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
L0CV is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.
Would be good to have references of libraries that does computer vision on the web, like:
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.