awesome-computer-vision-resources
A curated list of awesome CV/ML resources for easy study and reference
https://github.com/tzxiang/awesome-computer-vision-resources
Last synced: 2 days ago
JSON representation
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Repos
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Research Tools
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Toolbox
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Code Tools
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Libraries
- [Homepage
- Model Zoo: Discover open source deep learning code and pretrained models
- [Homepage
- [Homepage
- [Link
- [PDF - training-giant-neural-nets-using-pipeline-parallelism/)
- BoofCV
- [Homepage
- Blog
- [Homepage
- [Homepage
- [Matlab
- [Page - open-source-framework-for.html) [[Intro]](https://mp.weixin.qq.com/s/3nl_IIEbk_8y1wjwD4x4cQ)
- [Homepage
- [Docs
- Intro
- [Homepage
- [Homepage - Lab)
- [Homepage
- [Docs
- 利用OpenCV和Tesseract实现OCR和文本识别
- PSPNet - net.org/challenges/LSVRC/2016/results), [LSUN Semantic Segmentation Challenge 2017 @CVPR17](https://blog.mapillary.com/product/2017/06/13/lsun-challenge.html)and [WAD Drivable Area Segmentation Challenge 2018 @CVPR18](https://bdd-data.berkeley.edu/wad-2018.html). Sample experimented datasets are [ADE20K](http://sceneparsing.csail.mit.edu/), [PASCAL VOC 2012](http://host.robots.ox.ac.uk:8080/leaderboard/displaylb.php?challengeid=11&compid=6) and [Cityscapes](https://www.cityscapes-dataset.com/).
- [github
- Intro
- [Homepage
- [page
- Intro
- PSPNet - net.org/challenges/LSVRC/2016/results), [LSUN Semantic Segmentation Challenge 2017 @CVPR17](https://blog.mapillary.com/product/2017/06/13/lsun-challenge.html)and [WAD Drivable Area Segmentation Challenge 2018 @CVPR18](https://bdd-data.berkeley.edu/wad-2018.html). Sample experimented datasets are [ADE20K](http://sceneparsing.csail.mit.edu/), [PASCAL VOC 2012](http://host.robots.ox.ac.uk:8080/leaderboard/displaylb.php?challengeid=11&compid=6) and [Cityscapes](https://www.cityscapes-dataset.com/).
- [github - recognition-iccv19/)
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github - g)
- libfacedetection
- [github
- [github
- [github
- **OpenPCDet** - H57WHvMuA)
- [github
- [NCNN Version - MNN) [[OpenVINO]](https://github.com/SyGoing/LFFD-OpenVINO)
- [github
- [github
- [github
- [github
- [github
- [github
- Tensorflow Project Template
- [Code - started-with-map-tk-for-aerial-photogrammetry/)
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [github
- [Homepage
- [github
- [github
- [github
- [github
- [github
- 利用OpenCV和Tesseract实现OCR和文本识别
- [github
- Intro
- [Homepage
- [page
- [github
- [Code
- 利用OpenCV和Tesseract实现OCR和文本识别
- Intro
- [Homepage
- [page
- 利用OpenCV和Tesseract实现OCR和文本识别
- Intro
- [page
- 利用OpenCV和Tesseract实现OCR和文本识别
- Intro
- [page
- 利用OpenCV和Tesseract实现OCR和文本识别
- Intro
- [page
- [github
- 利用OpenCV和Tesseract实现OCR和文本识别
- Intro
- [page
- 利用OpenCV和Tesseract实现OCR和文本识别
- Intro
- [page
- [github
- 利用OpenCV和Tesseract实现OCR和文本识别
- Intro
- [page
- 利用OpenCV和Tesseract实现OCR和文本识别
- Intro
- [page
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PyTorch
- [Homepage
- [Homepage
- [Page
- [Intro - OpCounter)
- [Page1
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [github
- Awesome-PyTorch-Chinese
- [Intro - OpCounter)
- [Page
- [Page
- [Intro - OpCounter)
- [Page
- [Intro - OpCounter)
- [Page
- [Intro - OpCounter)
- [Page
- [Intro - OpCounter)
- [Page
- [Intro - OpCounter)
- [Page
- [Intro - OpCounter)
- [Page
- [Intro - OpCounter)
- [Page
- [Intro - OpCounter)
- [Page
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Tools Guidance
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Label tools
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Research Tools
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TensorFlow
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Books
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MatheMatics
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Machine Learning
- [ReadOnline - Chinese]](https://tigerneil.gitbooks.io/neural-networks-and-deep-learning-zh/content/index.html)
- [Homepage - book.pdf)
- [ReadOnline-Chinese - Bili]](https://space.bilibili.com/209599371/channel/detail?cid=23541) [[Video-Youtube]](https://www.youtube.com/playlist?list=PLLbeS1kM6teJqdFzw1ICHfa4a1y0hg8Ax)
- [PDF - keen/Machine-learning-learning-notes) [[HandNotes]](https://github.com/Sophia-11/Machine-Learning-Notes)
- [Homepage - us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) [[PDF-Chinese]](https://github.com/Mikoto10032/DeepLearning/blob/master/books/%E6%A8%A1%E5%BC%8F%E8%AF%86%E5%88%AB%E4%B8%8E%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0PRML_Chinese_vision.pdf) [[Algorithms_Python]](https://github.com/ctgk/PRML) [[Algorithms_Matlab]](https://prml.github.io/)
- [PDF - %E7%BB%9F%E8%AE%A1%E5%AD%A6%E4%B9%A0/machine_learning_algorithm-master)
- [ReadOnline - in-Action/gans-in-action)
- [Homepage&PDF
- [Homepage - Deep-Learning)
- [Online
- [github
- [github
- [Online
- [github
- [github - book/)
- [github - into-DL-PyTorch/#/) [[PDF]](https://github.com/tzxiang/AwesomeCV/tree/master/Docs/Dive-into-DL-PyTorch.pdf)
- [Online - into-DL-TensorFlow2.0)
- [Others
- [Homepage - Chinese]](https://github.com/deeplearning-ai/machine-learning-yearning-cn) [[ReadOnline]](https://deeplearning-ai.github.io/machine-learning-yearning-cn/docs/home/) [[PDF]](https://github.com/tzxiang/AwesomeCV/tree/master/Docs/MLYearning-zh-cn.pdf)
- [github
- [Online
- [ReadOnline - in-Action/gans-in-action)
- [ReadOnline - Chinese]](https://tigerneil.gitbooks.io/neural-networks-and-deep-learning-zh/content/index.html)
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Computer Vision
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Dataset
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Scene Understanding
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Object Tracking Dataset
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Semantic seg for 3D
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Comprehensive Dataset
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Aerial Action/Event Dataset
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Research Tools
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3D Dataset
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AutoDriving/Transport
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Lessons
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MatheMatics
- [Homepage - Field)
- [CoursePage - rwp5__7C0oIVt26ZgjG9NI) [[CourseCode]](https://github.com/aamini/introtodeeplearning_labs/)
- [CoursePage
- [CoursePage
- [CoursePage - zLfQRF3EO8sYv) [[Slides]](http://cs231n.stanford.edu/syllabus.html) [[Notes]](http://cs231n.github.io/) [[Notes-Chinese]](https://zhuanlan.zhihu.com/p/21930884) [[One Class Project-VideoObSeg]](https://arxiv.org/abs/1905.07826)
- [Slides - Youtube]](https://www.youtube.com/playlist?list=PLJV_el3uVTsPy9oCRY30oBPNLCo89yu49) [[Video-Bili]](https://www.bilibili.com/video/av10590361?from=search&seid=3550588589314000309) [[Notes]](https://github.com/datawhalechina/leeml-notes)
- [CoursePage - Chinese]](http://www.ai-start.com/dl2017/) [[Notes2]](https://github.com/fengdu78/deeplearning_ai_books) [[Homepage1]](https://www.learndatasci.com/out/coursera-machine-learning/) [[Homepage2]](https://www.learndatasci.com/out/coursera-deep-learning-specialization/)
- [Cheatsheet - git]](https://github.com/shervinea/cheatsheet-translation)
- [CoursePage
- [CoursePage
- [Homepage&Slides
- [Homepage
- [Video - View_Geometry.pdf)
- [Video
- [Video - Lyu/TensorFLow-Learning)
- [Slides - Youtube]](https://www.youtube.com/playlist?list=PLJV_el3uVTsPy9oCRY30oBPNLCo89yu49) [[Video-Bili]](https://www.bilibili.com/video/av10590361?from=search&seid=3550588589314000309) [[Notes]](https://github.com/datawhalechina/leeml-notes)
- [github
- [CoursePage - zLfQRF3EO8sYv) [[Slides]](http://cs231n.stanford.edu/syllabus.html) [[Notes]](http://cs231n.github.io/) [[Notes-Chinese]](https://zhuanlan.zhihu.com/p/21930884) [[One Class Project-VideoObSeg]](https://arxiv.org/abs/1905.07826)
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Tutorials
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Computer Vision
- [Homepage$Slides
- Interpretable Machine Learning for Computer Vision
- [Page
- Blog
- Understanding Color and the In-Camera Image Processing Pipeline for Computer Vision
- [Homepage
- From Image Restoration to Enhancement and Beyond
- Visual Recognition for Images, Video, and 3D
- Large-Scale Visual Place Recognition and Image-Based Localization
- 3D Deep Learning and Applications in Autonomous Driving
- Second- and Higher-order Representations in Computer Vision
- Visual Learning with Limited Labeled Data
- [HomePage
- [Page
- [Page
- [Slides
- [Homepage&Slides
- Report
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- Blog
- [Slides
- Global Optimization for Geometric Understanding with Provable Guarantees
- Accelerating Computer Vision with Mixed Precision, - Yu Liu (NVIDIA)
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- [Slides
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Slides
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Slides
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Slides
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Slides
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Slides
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Slides
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Slides
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Slides
- 3D Deep Learning and Applications in Autonomous Driving
- [Page
- Blog
- Blog
- Blog
- Blog
- Blog
- [Slides
- [Page
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Machine Learning
- 深度学习调参有哪些技巧?
- [Page
- [Page
- [Homepage - Chinese]](https://mp.weixin.qq.com/s/VtGpQdB-swz0EhqfQQxrpA)
- [Page
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- Blog
- [Slides
- [Page
- [Page
- 一张图了解深度学习的前世今生
- 构建深度神经网络,我有20条「不成熟」的小建议
- cnn结构设计技巧-兼顾速度精度与工程实现
- [Page
- [Homepage
- [Page
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Note1 - networks/2016/11/24/convolutional-autoencoders/) [[Note3]](https://pgaleone.eu/neural-networks/deep-learning/2016/12/13/convolutional-autoencoders-in-tensorflow/)
- [Page - related]](https://github.com/j2kun/neural-networks)
- [Homepage
- [Page
- [Page
- [PDF - tutorial) [[勘误]](https://htmlpreview.github.io/?https://github.com/jindongwang/transferlearning-tutorial/blob/master/web/transfer_tutorial.html)
- [Page - version]](https://zhuanlan.zhihu.com/p/27657264)
- [Page
- [Page
- [Page
- [Page
- [Homepage
- [Page
- [Page
- 线性回归
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Homepage
- [Page
- [Homepage
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Homepage
- [Page
- [Slides
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [Homepage
- [Page
- [Homepage
- [Page
- [Homepage
- [Page
- [Page
- [Homepage
- [Page
- [github
- DeepLearning-500-questions
- [Homepage - Version]](https://github.com/MLEveryday/100-Days-Of-ML-Code). 100 Days of Machine Learning Coding as proposed by Siraj Raval.
- 理解CNN、CNN可视化 CNN-Visualization
- [github
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Homepage
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
- [Page
- [Page
- Some basic concept - magical-bayesian-method/) [Receptive field](https://mp.weixin.qq.com/s/NdqZk3yWVLtszGYaEAphEA)
- 线性回归
- [Page
- [Page
- [Page
- [Page
- [Slides
- [Page
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MatheMatics
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Tools Guidance
- [DeformConv Note
- [Homepage
- [PDF - Python_cn/OpenCV-Python-Tutorial-zh-ch.pdf)
- [Homepage
- [Page
- [Page
- [Page
- [PySnooper-Note - github]](https://github.com/cool-RR/PySnooper) [[TorchSnooper-Note]](https://www.jiqizhixin.com/articles/2019-06-18-10) [[TorchSnooper-github]](https://github.com/zasdfgbnm/TorchSnooper)
- [Page
- [Page
- 30 seconds of Code - quality learning.
- Blog
- 优雅你的Python代码的15个tips
- [Homepage
- [Homepage
- [Page
- [Page
- [Page
- [Page
- [ReluNote - 5zsn8loyKTJfqTDV30w) [[Overview]](https://mp.weixin.qq.com/s?__biz=MzI1NTE4NTUwOQ==&mid=2650325236&idx=1&sn=7bd8510d59ddc14e5d4036f2acaeaf8d&scene=0#wechat_redirect)
- [Page
- [Page
- [Page
- [Page
- [Page
- [github
- [github
- [Page
- Page
- Blog
- [Homepage
- [Page-Eng - Chinese]](https://mp.weixin.qq.com/s/c00PXpJHctdm_YEbk4NTQA)
- [Page
- [Page1 - 875nQZYRSF5YQ)
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [Blog
- [Page
- Blog
- [Homepage
- [Page
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- [Page
- Page
- [Homepage
- Blog
- [Homepage
- [Page
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- Blog
- [Homepage
- Page
- [Homepage
- [github
- [github
- [Homepage
- [Page
- [Page
- [PySnooper-Note - github]](https://github.com/cool-RR/PySnooper) [[TorchSnooper-Note]](https://www.jiqizhixin.com/articles/2019-06-18-10) [[TorchSnooper-github]](https://github.com/zasdfgbnm/TorchSnooper)
- 优雅你的Python代码的15个tips
- [Homepage
- [example1 - CNN) [[example3]](https://github.com/ElefHead/numpy-cnn) [[Blog]](https://towardsdatascience.com/convolutional-neural-networks-from-the-ground-up-c67bb41454e1)
- [Page
- [Page
- [Page
- [ReluNote - 5zsn8loyKTJfqTDV30w) [[Overview]](https://mp.weixin.qq.com/s?__biz=MzI1NTE4NTUwOQ==&mid=2650325236&idx=1&sn=7bd8510d59ddc14e5d4036f2acaeaf8d&scene=0#wechat_redirect)
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [PySnooper-Note - github]](https://github.com/cool-RR/PySnooper) [[TorchSnooper-Note]](https://www.jiqizhixin.com/articles/2019-06-18-10) [[TorchSnooper-github]](https://github.com/zasdfgbnm/TorchSnooper)
- 优雅你的Python代码的15个tips
- [Homepage
- [Page
- [Page
- [Page
- [ReluNote - 5zsn8loyKTJfqTDV30w) [[Overview]](https://mp.weixin.qq.com/s?__biz=MzI1NTE4NTUwOQ==&mid=2650325236&idx=1&sn=7bd8510d59ddc14e5d4036f2acaeaf8d&scene=0#wechat_redirect)
- [Page
- [Page
- [Page
- [Page
- [Page
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- [Page
- [PySnooper-Note - github]](https://github.com/cool-RR/PySnooper) [[TorchSnooper-Note]](https://www.jiqizhixin.com/articles/2019-06-18-10) [[TorchSnooper-github]](https://github.com/zasdfgbnm/TorchSnooper)
- 优雅你的Python代码的15个tips
- [Homepage
- [Page
- [Page
- [Page
- [ReluNote - 5zsn8loyKTJfqTDV30w) [[Overview]](https://mp.weixin.qq.com/s?__biz=MzI1NTE4NTUwOQ==&mid=2650325236&idx=1&sn=7bd8510d59ddc14e5d4036f2acaeaf8d&scene=0#wechat_redirect)
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [PySnooper-Note - github]](https://github.com/cool-RR/PySnooper) [[TorchSnooper-Note]](https://www.jiqizhixin.com/articles/2019-06-18-10) [[TorchSnooper-github]](https://github.com/zasdfgbnm/TorchSnooper)
- 优雅你的Python代码的15个tips
- [Homepage
- [Page
- [Page
- [Page
- [ReluNote - 5zsn8loyKTJfqTDV30w) [[Overview]](https://mp.weixin.qq.com/s?__biz=MzI1NTE4NTUwOQ==&mid=2650325236&idx=1&sn=7bd8510d59ddc14e5d4036f2acaeaf8d&scene=0#wechat_redirect)
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [Page
- [PySnooper-Note - github]](https://github.com/cool-RR/PySnooper) [[TorchSnooper-Note]](https://www.jiqizhixin.com/articles/2019-06-18-10) [[TorchSnooper-github]](https://github.com/zasdfgbnm/TorchSnooper)
- 优雅你的Python代码的15个tips
- [Homepage
- [Page
- [Page
- [Page
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- [PySnooper-Note - github]](https://github.com/cool-RR/PySnooper) [[TorchSnooper-Note]](https://www.jiqizhixin.com/articles/2019-06-18-10) [[TorchSnooper-github]](https://github.com/zasdfgbnm/TorchSnooper)
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