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Please refer here for the environment construction procedure.

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Conversion

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Convert the model.

Please change the parameter "setting.conf" of the argument according to the model to be converted.

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• NET_NAME: The name of network.

  • Any name can be set.

• DEPLOY_PROTOTXT: Path to deploy prototxt file

• MODEL_DIR: Path to directory which includes caffemodel

  • All caffemodels under the converted directory are converted

• DRA_IMAGE_DIR: Path to directory which includes image files for optimizing quantization

  • Please put the directory image files for training. Recommended number of image files is 100 to 200.

  • Available image Image file format is what OpenCV can handle, for example, should be the format that are supported by OpenCV (Ex. JPEG, PNG and so onetc…).

  • Any resolution is availablesupported.

• OUTPUT_DIR: Path to directory to which the converted data will be putis placed

• PARSER_OPTION: Quantization mode

  • Select from FIX8/FIX16/MIX (FIX8/FIX16 mixed).

• IN_DATA_CHANNEL: Number of input image channel for target model

• N_DATA_WIDTH: Width of input image for target model

• IN_DATA_HEIGHT: Height of input image for target model

• IN_MEAN: Normalization parameter (mean) of input image

  • It can be set by numerical value or .binaryproto file

  • In case of setting by numerical value, do not put Please refrain from using space between “,” as followingshown below if using numerical value.
    IN_MEAN=127.5,127.5,127.5

  • In case of setting by .binaryproto file, please set Please set a path to the file as followingshown below when setting by .binaryproto file.
    IN_MEAN=./model/mean.binaryproto

• IN_SCALE: Normalization parameter (scale) of input image

  • In case of setting different value for each channel, split values by “,”. Do not put space between “,”Please refrain from using space between “,” and only use “,” to separate values when setting different values for each channel.

• IS_BGR: Format of input image (RGB or BGR)

• IN_LAYER: The name of input layer for target network

  • In the converted model, the name of input layer changes to “${IN_LAYER}_0” .
    Therefore, “_0” is needed needs to be added to the name of input layer, when the converted model will be run on executes AdamApp.

• OUT_LAYER: The name of output layer for target network

  • If two or more layers exists, separate layers by “,”.

• CAVALRY_VER: Version of cavalry to use

• PREPRO: Path of preprocessing script (python script)

  • Refer to “/home/cvtool/ common/prepro.py” for how to create a script.

• PREPRO_ARG: Argument of preprocessing script (python script)

• IN_DATA_FILEFORMAT: Input data format

  • examples: uint8->0,0,0,0, float32->1,2,0,7, float16->1,1,0,4)

  • When the value of IN_DATA_FILEFORMAT changes from “0,0,0,0”, setting PREPRO is needed.

• N_DATA_TRANSPOSE: Specify when performing TRANSPOSE on the input data

If input layer is not defined in deploy deployed prototxt file, add the layer as followingshown below.

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Convert sample model

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Download sample model.

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