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Reproduction of Focal-loss on caffe
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
NOTE: Image segmentation that iteratively uses Expectation Maximization for Gaussian Mixture Model estimation and Graph Cuts.
GrabCut based video segmentation boosted with CUDA
pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494
Learning Object Detection from Scratch with Gated Recurrent Feature Pyramids
基于深度学习的实时车牌识别项目 A license plate recognition(LPR) project base on deep learning.
高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
ID-discriminative Embedding (IDE) for Person Re-identification
A tool to visualize feature spaces commonly used in object detection.
Data augmentation tool for images
Python module to perform under sampling and over sampling with various techniques.
Image augmentation for machine learning experiments.
High-Speed Tracking with Kernelized Correlation Filters
Fine-grained classification via second order statistics in a compact end-to-end trainable model
27 hand-annotated attributes of Market-1501
Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf
The original code is from "https://github.com/matterport/Mask_RCNN"
Merge Batch Normalization in caffe
merge convolution layer and batch normlization layer in caffe
Caffe Implementation of Google's MobileNets
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
MobileNet-SSD-Focal-loss
This is the caffe code and evaluation scripts for the paper "Multi-region Bilinear CNNs for Person Re-Identification"
Using mxnet for face-related algorithm.
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.