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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.
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 which that includes image files for optimizing quantization
Please put the directory image files for training. Recommende 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 will be putis 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
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_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_NODE: The name of input node for target network
OUT_NODE: The name of output node for target network
If two or more nodes exists, separate layers by “,”.
PRIORBOX_NODE: Node equivalent to “priorbox”
Need to set when IS_SSD=1
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)
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-> 1,1,0,4
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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