No field named force_gray in TransformationParameter?

[5argon]

After trying to forcing the color channel to greyscale like this :

layers {
  name: "data"
  type: DATA
  top: "data"
  include {
    phase: TRAIN
  }
  transform_param {
      mean_file:"./mean.binaryphoto"
      force_gray: true
  }
  data_param {
    source: "./train_images_3_lmdb"
    batch_size: 1
    backend: LMDB
  }
}


layers {
  name: "data"
  type: DATA
  top: "data"
  include {
    phase: TEST
  }
  transform_param {
    mean_file:"./mean.binaryphoto"
    force_gray: true
  }
  data_param {
    source: "./test_images_3_lmdb"
    batch_size: 1
    backend: LMDB
  }
}

The following error occured :

[libprotobuf ERROR google/protobuf/text_format.cc:291] Error parsing text-format caffe.NetParameter: 12:17: Message type "caffe.TransformationParameter" has no field named "force_gray".

I checked `/src/caffe/proto` and make sure that `force_gray` was there under the `TransformationParameter` so why I got this error?

message TransformationParameter {
  // For data pre-processing, we can do simple scaling and subtracting the
  // data mean, if provided. Note that the mean subtraction is always carried
  // out before scaling.
  optional float scale = 1 [default = 1];
  // Specify if we want to randomly mirror data.
  optional bool mirror = 2 [default = false];
  // Specify if we would like to randomly crop an image.
  optional uint32 crop_size = 3 [default = 0];
  // mean_file and mean_value cannot be specified at the same time
  optional string mean_file = 4;
  // if specified can be repeated once (would substract it from all the channels)
  // or can be repeated the same number of times as channels
  // (would subtract them from the corresponding channel)
  repeated float mean_value = 5;
  // Force the decoded image to have 3 color channels.
  optional bool force_color = 6 [default = false];
  // Force the decoded image to have 1 color channels.
  optional bool force_gray = 7 [default = false];
}

I also did the same to my TEST data layer.

Another question is, will this option correctly use the mean_file that was computed from colored image as greyscale mean as well?

[Jan C Peters]

Not sure about the mean file, my guess is that it won't work though.

The error you see: maybe your code is more recent than the binary? Try to recompile your caffe binaries. And do a git pull while you're at it.

Jan