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

faster-rcnn-caltech-pedestrian-pytorch

2020-02-19 | |  119 |   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

  • allennlp-server

    allennlp-server Serve allennlp services as sep...

  • allennlp_extras

    allennlp_extras Some utilities build on top of...

  • allennlp-dureader

    An Apache 2.0 NLP research library, built on Py...

  • NLP_transfer_clas...

    NLP_transfer_classicAI 000

  • qp_testing

    qp_testing mkdir build cd build cmake .. make