Preparation

Please refer here for the environment construction procedure.

Convert sample model

Change directory.

Download sample model.

Conver the model.

The model after conversion is output to the following directory.

• For ambaCV2X camera

${OUTPUT_DIR}/${NET_NAME}/${PARSER_OPTION}/[model name]

• For ambaCV5X camera

${OUTPUT_DIR}/${NET_NAME}_ambaCV5X/${PARSER_OPTION}/[model name]

Conversion

1. Copy /home/cvtool/conversion/caffe .

2. Change the parameter of "setting.conf" according to the model to be converted.
   
   

3. Convert the model.

setting.conf

• 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

• 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.

  • 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 to which the converted data is 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

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

  • Please set a path to the file as shown below when setting by .binaryproto file.
    IN_MEAN=./model/mean.binaryproto

• 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_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” needs to be added to the name of input layer, when the converted model executes AdamApp.

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

• 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 output layer, conversion may not be successful.
    : | ; , ‘

• 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.

• IN_DATA_TRANSPOSE: Specify when performing TRANSPOSE on the input data

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

Open