How to install Ikomia on Linux

Published by Guillaume Demarcq on

How to install Ikomia on Linux

Today, we are going to install Ikomia on Linux Ubuntu 18.04 but it’s the same process whatever your distro.

First of all, let us briefly recall what is Ikomia. Ikomia is a cross-platform software dedicated to use, share and reproduce state of the art computer vision algorithms (see here for more details).

At first, you need to download Ikomia here. For that, you have to sign-up for free or register with your credentials.

Note: The size of the installer is important because we bundle our own Python framework, all OpenCV libs and NVIDIA CUDNN dependencies.

Moreover, your Ikomia account gives you some advantages:

  • Access to state of the art algorithms from the Marketplace
  • Features like plugin integration and algorithms sharing
  • Access to the Q&A system to get support from the community

So now, you need to make the installer executable by right-clicking on it → permission → check “Allow execution” or by command line with

sudo chmod +x /path/to/IkomiaSetup.run

Then the next step is to launch IkomiaSetup and follow the instructions. Thus it creates two folders in your home directory:

  1. IkomiaInstall: it contains the EULA license and the uninstaller (maintenanceTool)
  2. Ikomia: it contains all the stuff needed for the Ikomia platform

Once it’s installed, search Ikomia and launch it.


In this version, we use the following tools:

  • OpenSSL 1.1
  • OpenCV 4.5.0 (with CUDA enabled)
  • VTK 8.1
  • Cudnn 7.6.5
  • Python 3.7
  • G’mic 2.8.0

Note: you must install NVIDIA CUDA toolkit 10.2  to leverage GPU computing with deep learning framework like PyTorch or Tensorflow.


Tested on these Linux distributions:

  • Manjaro
  • Linux Mint 19|20
  • Debian 10
  • Ubuntu 18.04|20.04
  • Elementary OS 5.0
  • Solus 4.0
  • Fedora 32
  • Deepin 15.11
  • Centos 7
  • Archlinux

Enjoy!!

Want to know more? Follow us on Twitter, LinkedIn and Youtube !!

Feel free to report issues or feature requests in our Github repository.

Please visit our website at https://ikomia.com.


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