Installation

Everything you need to know about installation of Supervisely SDK for Python

This part of the documentation covers the installation of Supervisely SDK for Python. The first step to using any software package is getting it properly installed.

Prerequisites

Python

You should use ๐Ÿ Python 3.8 or greater, which can be installed either through the Anaconda package manager, Homebrew, or the Python website.

Libraries

apt-get update
apt-get install ffmpeg libgeos-dev libsm6 libxext6 libexiv2-dev libxrender-dev libboost-all-dev -y

Installation

If you're working with a custom Supervisely instance, please refer to the compatibility table below to ensure that you're using the correct version of the Python SDK, which supports your instance. Note: the latest version of the SDK always supports the latest version of Supervisely, so it's recommended to upgrade both from time to time.

Compatibility table

Instance version
Python SDK version

>=6.14.4

supervisely>=6.73.410

>=6.14.0

supervisely>=6.73.400

>=6.13.8

supervisely>=6.73.394

>=6.13.1

supervisely>=6.73.379

>=6.12.46

supervisely>=6.73.375

>=6.12.44

supervisely>=6.73.344

>=6.12.34

supervisely>=6.73.324

>=6.12.30

supervisely>=6.73.312

>=6.12.28

supervisely>=6.73.292

>=6.12.23

supervisely>=6.73.281

>=6.12.17

supervisely>=6.73.263

>=6.12.12

supervisely>=6.73.241

>=6.12.5

supervisely>=6.73.226

>=6.12.2

supervisely>=6.73.222

<=6.11.19

supervisely>=6.73.199

<=6.11.16

supervisely>=6.73.184

<=6.11.10

supervisely<=6.73.166

<=6.11.8

supervisely<=6.73.159

<=6.10.0

supervisely<=6.73.126

<=6.9.31

supervisely<=6.73.123

<=6.9.22

supervisely<=6.73.90

<=6.9.18

supervisely<=6.73.81

<=6.9.13

supervisely<=6.73.76

<=6.9.11

supervisely<=6.72.70

Pip

The latest stable version is available on PyPI. Either add supervisely to your requirements.txt file or install with pip:

To install a specific version, use the following command:

We are constantly updating our SDK by adding new features and fixing bugs. So if it is already installed on your dev environment, use the installation command with --upgrade flag:

Source code

Supervisely is actively developed on GitHub, where the code is always available.

You can either clone the public repository:

Or, download the zipball:

Once you have a copy of the source, you can embed it in your own Python package, or install it into your site-packages easily:

VENV

Here is a tiny bash script, that you can place at the root of your repository (for example create_venv.sh). It creates venv - โ€œvirtualโ€ isolated Python installation and installs packages into that virtual installation. When you switch projects, you can simply create a new virtual environment and not have to worry about breaking the packages installed in the other environments. It is always recommended to use a virtual environment while developing Python applications.

Docker image

Supervisely SDK for python also has prebuilt docker image with everything already installed.

You can use the latest version

or some specific on that has completely the same tag as PIP releases, for example:

Here are the links to dockerfiles (base image, result image) where you can find the complete list of all recommended dependencies.

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