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Caffe for YOLOv2 & YOLO9000

License: Other

CMake 2.45% Makefile 0.61% Shell 0.50% Python 9.18% Dockerfile 0.06% C++ 80.67% Cuda 5.73% MATLAB 0.79%

caffe-yolo9000's Introduction

CAFFE for YOLO9000

Reference

YOLO9000: Better, Faster, Stronger

http://pjreddie.com/yolo9000/

https://github.com/yeahkun/caffe-yolo

https://github.com/weiliu89/caffe/tree/ssd

Usage

Caffe

   vim Makefile.config
   make clean
   make all -j8
   make pycaffe

(Be careful: caffe&caffe2 PYTHONPATH conflict)

Data preparation

Like SSD data setting.

  cd data/VOC0712
  
  vim create_data.sh
  ./create_data.sh 

Train

  cd examples/yolo/darknet_voc
  mkdir models
  
  # edit according yourself
  vim gnet_region_train_darknet448_voc.prototxt
  vim gnet_region_test_darkent448_voc.prototxt
  vim gnet_region_solver_darkent448_voc.prototxt

  # download pretrain_model

https://pan.baidu.com/s/1c71EB-6A1xQb2ImOISZiHA password: 9u5v

  # change related path in script train.sh
  vim train_darknet448.sh
  
  ./train_darknet448.sh

Eval mAP

   cd demo
   vim demo_yolo.py
   python demo_yolo.py

Test a image

   vim test_darknet448.sh
   ./test_darknet448.sh

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