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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 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 file format is what OpenCV can handle, for example, JPEG, PNG and so on.

  • Any resolution is available.

• OUTPUT_DIR: Path to directory which converted data will be put

• 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

  • n In case of setting by numerical value, do not put space between “,” as following.
    IN_MEAN=127.5,127.5,127.5

  • In case of setting by .binaryproto file, please set path to the file as following.
    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 “,”.

• 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 to be added to the name of input layer, when the converted model will be run on 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

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