how to insert "Reshape" layer in train_val.prototxt?

[Majid Azimi]

Hi, 

 the following part is the data layer in train.prototxt file in VGG16. there is crop_size:224 which we don't want. I want to reshape my data to this size. so be able to use the imagenet_mean file. there is a reshape layer which you can see below, but the problem is I don't know exactly and how I should put into. I tried between data layer and conv1_1, but if failed due the different sizes.

################### data layer

layer {

  name: "data"

  type: "ImageData"

  top: "data"

  top: "label"

  include {

    phase: TRAIN

  }

  transform_param {

    mirror: true

    crop_size:224

    mean_file: "data/ilsvrc12/imagenet_mean.binaryproto"

  }

  image_data_param {

    source: "data/Blocks/10Btrainaugmented.txt"

    batch_size: 50

    new_height: 256

    new_width: 256

  }

################### reshape layer

 layer {

    name: "reshape"

    type: "Reshape"

    bottom: "data"

    top: "reshape"

    reshape_param {

      shape {

        dim: 1 

        dim: 3

        dim: 224

        dim: 224 

      }

    }

  }

[Nam Vo]

What you want is to resize, not reshape.

You can resize the images in the image data layer:

    new_height: 224

    new_width: 224

If you want to do some other weird resizing you'll have to write your own layer

[S. Majid Azimi]

thanks. I got it. in the train_val.prototxt file of VGG16, there is image_crop: 224. does it mean before being resized to 256, the input images are cropped first?

if I resize all of images first manually to 224x224x3, so it means this cropping in the tain_val file doesn't have any affects right?

another way to say: I am going to finetune the alexnet, when I remove crop_image:224 I get an error of not compatibility with the model. I want model to see the whole image without cropping. so I resized all of them to 224 to prevent that. now this cropping doesn't change any thing right? 

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