lavonne1213 Goto Github PK
Name: lavonne_fan
Type: User
Bio: graduated from Shanghai University of Electric Power, major in Computer vision, machine learning, image processing.
Location: shanghai,China
Name: lavonne_fan
Type: User
Bio: graduated from Shanghai University of Electric Power, major in Computer vision, machine learning, image processing.
Location: shanghai,China
3D convolutional neural network for video classification
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Awesome Crowd Counting
A curated list of awesome Deep Learning tutorials, projects and communities.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
A curated list of video stabilization methods
book list
Themes for Bootstrap
Caffe models in TensorFlow
Multi-language Char RNN for TensorFlow >= 1.2.
Image Crowd Counting Using Convolutional Neural Network and Markov Random Field
This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results
The code for preparing the training data for crowd counting / segmentation algorithm.
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
Single Image Crowd Counting via MCNN (Unofficial Implementation)
An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
An evolving guide to learning Deep Learning effectively.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
Deep Learning Tutorial notes and code. See the wiki for more info.
Deep Learning for Spatio-Temporal Data
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Fast R-CNN
This is a head counting software. Its aim is to be able to count the number of people present in a crowd, especially in protests, and provide an estimate as accurate as possible.
关于Python的面试题
Torch implementation of CVPR'17 - Local Binary Convolutional Neural Networks http://xujuefei.com/lbcnn.html
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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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.