How to use leveldb and What kind of dataLayer I can use in pycaffe interface?

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youngwan lee

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Sep 12, 2016, 11:45:10 AM9/12/16

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I tried to make train/val.prototxt using leveldb by caffe python interface.

    layer {
      name: "cifar"
      type: "Data"
      top: "data"
      top: "label"
      data_param {
        source: "/home/youngwan/data/cifar10/cifar10-gcn-leveldb-splits/cifar10_full_train_leveldb_padded"
        batch_size: 100
        backend: LEVELDB
      }
      transform_param {
        mean_file: "/home/youngwan/data/cifar10/cifar10-gcn-leveldb-splits/paddedmean.binaryproto"
        mirror: 1
        crop_size: 32
      }
      include: { phase: TRAIN }
    }

But in caffe python interface, I can't find a proper datalayer python wrapper(e.g., L.MemoryData) even though I tried to find examples and tutorials in BLVC/caffe page.