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Preparation


See here for how to get the CV Tool.

Installation target OS in the tutorial

  • Ubuntu 20.04 LTS

Install docker

Install the packages necessary for building the docker environment and set environment.

Please refer to the docker official website to learn more about installation (ex. installing on other Linux distribution).

参考:https://docs.docker.com/engine/install/

$ sudo apt-get update
$ sudo apt-get install ca-certificates curl
$ sudo install -m 0755 -d /etc/apt/keyrings
$ sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
$ sudo chmod a+r /etc/apt/keyrings/docker.asc

$ echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
  $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
$ sudo apt-get update

$ sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

Import docker image file (First time only)

It takes several minutes until the import completes.

[image name]is any

$ cat cvtool_vx.xx.tar.bz2 | sudo docker import - [image name]

Create docker container (First time only)

Option “-v” is needed in sharing files between host and container.

[container name]is any

$ sudo docker run -d -it --name [container name] [image name] /bin/bash

If you have set a proxy, please refer to the link below to set the proxy for docker.

Reference:https://docs.docker.com/network/proxy/

Run CV Tool

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).

  • For ambaCV2X camera

$ cd /home/cvtool
$ source setup_env.sh
  • For ambaCV5X camera

$ cd /home/cvtool
$ source setup_env.sh ipro-ambaCV5X

Conversion


Please refer to the following page for model conversion.

 AI model convert tool: Caffe

 AI model convert tool: Tensorflow

 AI model convert: ONNX(PyTorch)

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