Introduction

We will explain the differences between the AI model conversion tools for ambaCV2X and ambaCV5X.

Differences in environment construction

Start the container.

$ sudo docker start [container name]

Log in to the container.

$ sudo docker exec -it -u cvtool [container name] /bin/bash

If you need a password, please use "cv".

Set the environment (inside the container).

$ cd /home/cvtool
$ source setup_env.sh

The model after conversion is output to the following directory.

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

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

This applies to all Caffe, Tensorflow, ONNX (PyTorch).