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NET_NAME: The name of network
Any name can be set.
MODEL_DIR: Path to directory which includes .onnx files
All .onnx files under the directory are converted.
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.
Image file format should be the format that are supported by OpenCV (Ex. JPEG, PNG and etc…).
Any resolution is supported.
OUTPUT_DIR: Path to directory which converted data in 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
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)
OUT_LAYER: The name of output layer for target network
If two or more layers exists, separate layers by “,”.
When the following symbols are contained in the name of input/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)
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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