matlab - Caffe using hdf5 layer and imagedata input layer together in train_val.proto -


i using hdf5 data layer reading input images(around 30000) have , metadata images.

i unable crop-flip data augmentation, since when use centre crops, storing data of 1500 images leads around 1.5 gb h5 file, total size of hdf5 dataset(30 h5 files) becomes ~40 gb, , can not use augmentation hdf5 dataset large.

so, thinking if use imagedata layer reading images , hdf5 data layer metadata, problem can solved. didn't find material on this. possible so?

yes is, thought getting error due else in proto file, below input layers proto

layer {   type: "hdf5data"   name: "data"   top: "meta"    hdf5_data_param {     source: "/path/to/train.txt"     batch_size: 50   }   include { phase: train } } layer {   name: "data"   type: "imagedata"   top: "x"   top: "labels"   include {     phase: train   }   transform_param {     mirror: true     crop_size: 227     mean_file: "data/ilsvrc12/imagenet_mean.binaryproto"   }   image_data_param {     source: "/path/to/train.txt"     batch_size: 50     new_height: 256     new_width: 256   } } layer {   type: "hdf5data"   name: "data"   top: "meta"    hdf5_data_param {     source: "/path/to/val.txt"     batch_size: 50   }   include { phase: test } } layer {   name: "data"   type: "imagedata"   top: "x"   top: "labels"   include {     phase: test   }   transform_param {     mirror: false     crop_size: 227     mean_file: "data/ilsvrc12/imagenet_mean.binaryproto"   }   image_data_param {     source: "/path/to/val.txt"     batch_size: 50     new_height: 256     new_width: 256   } }

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