Skip to content

leviome/fcos_pure

Repository files navigation

Pure Implementation of FCOS

Paper: FCOS:Fully Convolutional One-Stage Object Detection(ICCV 2019)

FCOS is recognized as a nice anchor-free, one-stage detector because of its simple structure and high performance efficiency. This repo is aimed to reach a fast, pure implementation for FCOS. All of you can develop algorithms based on this repo.

imgs


Fast Demo

For Chinese guys:

you can download the pretrained model by CSDN to avoid annoying BaiduPan, click here to download. (Note that 5 C-points is needed. If you have problems with C-point, you can contact my CSDN account 木盏 to reach model for free.)

After downloading fcos_pretrained_model.pth, please put it to folder 'checkpoint', and put the images you want for test to folder 'test_images'

python detect.py

Then, you can find results at 'out_images/':

imgs

About

a pure pytorch implementation of FCOS

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages