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caffe-multitags's Introduction

caffe-multiTags

a caffe version for multiTags job

input data format:

  • 7 labels for all;
folder/sample001.jpg 0 1
folder/sample001.jpg 2 3 5
folder/sample001.jpg 1 6 3
folder/sample001.jpg 4 6 1 2
folder/sample001.jpg 6 3 2 1 0
...

Reference to this article：

makeRecord.md

  • This script records the bug encountered during the compilation of “make”

tools/convert_imageset.cpp

$CAFFE_HOME/build/tools/convert_imageset -resize_height=224 -resize_width=224 / train_images.txt train_data_lmdb 7

models example——inceptionV2 model

  • googlenet_train.prototxt :model prototxt
  • multilabel_googlenet_iter_250000.caffemodel :model weights
  • solver.prototxt :solver prototxt
  • runtrain.sh :run script

accuracy.py

  • compute accuracy for the last layer
  • before run the model, you need :
export PYTHONPATH=$CAFFE_HOME

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