knifeding Goto Github PK

crackforest-dataset

deblurring-by-realistic-blurring

deepcrack

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

dipdemo

《数字图像处理与机器视觉》书上的所有算法C++代码；在VS2013下测试，以MFC为交互界面，实现对输入图像的操作，涵盖了所有基本的图像处理算法，很值得学习！

external-attention-pytorch

Pytorch implementation of various Attention Mechanism

hed

code for Holistically-Nested Edge Detection

icarl

learning-opencv-3_examples

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

opencv

Open Source Computer Vision Library

opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

opencv3-intro-book-src

《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code

opencv_contrib

Repository for OpenCV's extra modules

opensse

Open Sketch Search Engine

paper-reading

深度学习经典、新论文逐段精读

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

scalepredictionforobjecttracking

Research on Surveillance Video Analytics

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

train_custom_dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

unet

unet for image segmentation