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create train and val folder, which contains train and test images for example: data/train/ data/test/
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use the label-image-for-caffe.py file to create train.txt and val.txt usage of label-image-for-caffe cmd python label-image-for-caffe.py -t 001/ 001 is the class folder for the images
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convert_imageset use the convert_imageset.exe to convert the images usage of convert_imageset.exe cmd convert_imageset --resize_height=256 --resize_width=256 --shuffle --backend=leveldb data/train/ data/train.txt data/trainldb
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compute_image_mean use the compute_image_mean.exe to compute the mean file usage of compute_image_mean.exe cmd compute_image_mean --backend=leveldb data/trainldb mean.binaryproto
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some warnings the train.txt and val.txt cannot contains empty lines in it! The convert_imageset.exe may cannot work!!!
lgbwust / some-tips-for-caffe Goto Github PK
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