资源算法faster-rcnn-caltech-pedestrian-pytorch

faster-rcnn-caltech-pedestrian-pytorch

2020-02-19 | |  82 |   0 |   0

Faster Pytorch Implementation for Caltech Pedestrian dataset

This implement is based on jwyang/faster-rcnn.pytorch. I make some changes to adapt the pedestrian detection. The Pytorch version is 4.0.

References

Tutorial

cd lib
sh make.sh
  • train_single_gpu.sh for training on single gpu

sh train_single_gpu.sh 0
  • train_mgpu.sh for trainning on multi-gpus

sh train_mgpus.sh
  • predict single image

sh predict.sh
  • create caltech eval result

sh caltech_dataset_detect.sh


上一篇:AICamp1.Week9.Session4.Faster_RCNN

下一篇:Newspapers_clustering_using_py-faster-rcnn

用户评价
全部评价

热门资源

  • TensorFlow-Course

    This repository aims to provide simple and read...

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • DuReader_QANet_BiDAF

    Machine Reading Comprehension on DuReader Usin...

  • Klukshu-Sockeye-...

    KLUKSHU SOCKEYE PROJECTS 2016 This repositor...

  • flaireWebSite

    flaireWebSite