GithubHelp home page GithubHelp logo

grseb9s / retinanet Goto Github PK

View Code? Open in Web Editor NEW

This project forked from unsky/retinanet

0.0 2.0 0.0 85.08 MB

Focal loss for Dense Object Detection

Shell 0.04% Makefile 0.05% Python 61.39% C 1.23% Cuda 37.28% C++ 0.02%

retinanet's Introduction

Retina-Net

Focal loss for Dense Object Detection

The code is unofficial version for RetinaNet in focal loss for Dense Object Detection. https://arxiv.org/abs/1708.02002

You can use the focal loss in https://github.com/unsky/focal-loss

usage

install mxnet v0.9.5

  1. download the dataset in data/

  2. download the params in https://onedrive.live.com/?authkey=%21AI3oSHAoAIbxAB8&cid=F371D9563727B96F&id=F371D9563727B96F%21102802&parId=F371D9563727B96F%21102787&action=locate

./init.sh

train & test

python train.py --cfg kitti.yaml

python test.py --cfg kitti.yaml

retinanet's People

Contributors

unsky avatar

Watchers

James Cloos avatar paper2code - bot avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.