FiftyOne Installation¶

Note

FiftyOne is rapidly growing. Sign up for the mailing list so we can keep you posted on new features as they come out!

Prerequisites¶

You will need a working Python installation. FiftyOne currently requires Python 3.6 - 3.9.

Although Python 3.9 is supported, note that some dependencies, notably scikit-image and scikit-learn, will need to be built from source. Also note that tensorflow does not yet support 3.9.

On Linux, we recommended installing Python through your system package manager (APT, YUM, etc.) if it is available. On other platforms, Python can be downloaded from python.org. To verify that a suitable Python version is installed and accessible, run python3 --version or python --version.

We encourage installing FiftyOne in a virtual environment. See setting up a virtual environment for more details.

Installing FiftyOne¶

To install FiftyOne, ensure you have activated any virtual environment that you are using, then run:

pip install fiftyone

This will install FiftyOne and all of its dependencies, which may take some time. Once this has completed, you can verify that FiftyOne is installed in your virtual environment by importing the fiftyone package:

$ python
Python 3.6.9 (default, Apr 18 2020, 01:56:04)
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>> import fiftyone as fo
>>>

A successful installation of FiftyOne should result in no output when fiftyone is imported.

Quickstart¶

Note

Get started in seconds by running the quickstart!

Dive right into FiftyOne by running the command below. It will download a small dataset, launch the App, and print some suggestions for exploring the dataset!

# Launch the FiftyOne quickstart
fiftyone quickstart

FiftyOne Desktop App¶

By default, the FiftyOne App will be opened in your web browser when you launch it.

However, we also provide a desktop version of the FiftyOne App that you can install as follows:

pip install fiftyone-desktop

Note

Commands like launch_app() provide an optional desktop flag that let you control whether to launch the App in your browser or as a desktop App.

You can also set the desktop_app flag of your FiftyOne config to use the desktop App by default.

Troubleshooting¶

If you run into any installation issues, review the suggestions below or check the troubleshooting page for more details.

Note

Most installation issues can be fixed by upgrading some packages and then rerunning the FiftyOne install:

pip install --upgrade pip setuptools wheel
pip install fiftyone

Mac users:

You must have the XCode Command Line Tools package installed on your machine. You likely already have it, but if you encounter an error message like error: command 'clang' failed with exit status 1, then you may need to install it via xcode-select --install, or see this page for other options.

Linux users:

The psutil package may require Python headers to be installed on your system. On Debian-based distributions, these are available in the python3-dev package.
If you encounter an error related to MongoDB failing to start, such as Could not find mongod, you may need to install additional packages. See the troubleshooting page for details.

Windows users:

If you encounter errors related to missing msvcp140.dll, you will need to install the 64-bit Visual Studio 2015 C++ redistributable library, available here (choose the x64 version).

Installing extra packages¶

Various tutorials and guides that we provide on this site require additional packages in order to run. If you encounter a missing package, you will see helpful instructions on what you need to install. Alternatively, you can preemptively install what you’ll need by installing the following additional packages via pip in your virtual environment:

ipython to follow along with interactive examples more easily (note that a system-wide IPython installation will not work in a virtual environment, even if it is accessible)
tensorflow for examples requiring TensorFlow. The installation process can vary depending on your system, so consult the Tensorflow documentation for specific instructions.
tensorflow-datasets for examples that rely on loading TensorFlow datasets
torch and torchvision for examples requiring PyTorch. The installation process can vary depending on your system, so consult the PyTorch documentation for specific instructions.

For your own work, FiftyOne does not strictly require any of these packages, so you can install only what you need.

Note

You must install FFmpeg in order to work with video datasets in FiftyOne. See this page for installation instructions.

Upgrading FiftyOne¶

Passing the --upgrade (or -U) option to pip install can be used to upgrade an existing FiftyOne installation:

pip install --upgrade fiftyone

Uninstalling FiftyOne¶

FiftyOne and all of its subpackages can be uninstalled with:

pip uninstall fiftyone fiftyone-brain fiftyone-db voxel51-eta

If you installed the optional desktop App, you can uninstall that via:

pip uninstall fiftyone-desktop