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  • NET_NAME: The name of network

    • Any name can be set.

  • IS_SSD: Set 1, if target model uses SSD

  • PB_DIR: Path to directory which includes frozen .pb files

    • All .pb files under the directory are converted.

  • IMAGE_DIR: Path to directory that 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 to which the converted data is placed

  • PARSER_OPTION: Quantization mode

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

  • IN_DATA_FORMAT: Format of input data for target model (NHWC or NCHW)

  • 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

    • Please refrain from using space between “,” as shown below if using numerical value.
      IN_MEAN=127.5,127.5,127.5

  • IN_SCALE: Normalization parameter (scale) of input image

    • 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_NODE: The name of input node for target network

    • When the following symbols are contained in the name of input node, conversion may not be successful.
      : | ; , ‘

  • OUT_NODE: The name of output node for target network

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

    • When the following symbols are contained in the name of output node, conversion may not be successful.
      : | ; , ‘

  • PRIORBOX_NODE: Node equivalent to “priorbox”

    • Need to set when IS_SSD=1

  • 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)

  • PARSER_IN_DATA_FORMAT: Format of input data for target model (when tfparser run) (NHWC or NCHW)

  • IN_DATA_FILEFORMAT: Input data format

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

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

  • IN_DATA_TRANSPOSE: Specify when performing TRANSPOSE on the input data

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