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You will need a working Python installation. FiftyOne currently requires Python 3.6 - 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
We encourage installing FiftyOne in a virtual environment. See setting up a virtual environment for more details.
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. Once this has
completed, you can verify that FiftyOne is installed in your virtual
environment by importing the
$ python >>> >>> import fiftyone as fo >>>
A successful installation of FiftyOne should result in no output when
fiftyone is imported. See this section for
install troubleshooting tips.
If you want to work with video datasets, you’ll also need to install FFmpeg:
1 2 3 4 5
import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("quickstart") session = fo.launch_app(dataset)
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]
If you run into any installation issues, review the suggestions below or check the troubleshooting page for more details.
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
Apple Silicon users:
MongoDB does not yet provide a native build for Apple Silicon, so you must follow these instructions to configure FiftyOne to use a MongoDB instance that you have installed yourself.
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.
psutilpackage may require Python headers to be installed on your system. On Debian-based distributions, these are available in the
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 alternative Linux builds for details.
If you encounter a
fiftyone, you will need to install the 64-bit Visual Studio 2015 C++ redistributable library. See here for instructions.
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
pip in your virtual environment:
ipythonto 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)
torchvisionfor examples requiring PyTorch. The installation process can vary depending on your system, so consult the PyTorch documentation for specific instructions.
tensorflowfor examples requiring TensorFlow. The installation process can vary depending on your system, so consult the Tensorflow documentation for specific instructions.
tensorflow-datasetsfor examples that rely on loading TensorFlow datasets
FiftyOne does not strictly require any of these packages, so you can install only what you need. If you run something that requires an additional package, you will see a helpful message telling you what to install.
You can upgrade an existing FiftyOne installation by passing the
pip install --upgrade fiftyone
If you use the desktop App, you should also run:
pip install fiftyone[desktop]
to ensure that you have the proper version of the desktop App installed for your current FiftyOne version.
New versions of FiftyOne occasionally introduce data model changes that require database migrations after you upgrade. Rest assured, these migrations will be automatically performed on a per-dataset basis whenever you load a dataset for the first time in a newer version of FiftyOne.
If you need to downgrade to an older version of FiftyOne for any reason, you can do so.
Since new releases occasionally introduce backwards-incompatible changes to the data model, you must use the fiftyone migrate command to perform any necessary downward database migrations before installing the older version of FiftyOne.
Here’s the workflow for downgrading to an older version of FiftyOne:
# The version that you wish to downgrade to VERSION=0.14.4 # for example # Migrate the database fiftyone migrate --all -v $VERSION # Optional: verify that your datasets were migrated fiftyone migrate --info # Now install the older version of `fiftyone` pip install fiftyone==$VERSION
If you are reading this after encountering an error resulting from downgrading
fiftyone package without first running
fiftyone migrate, don’t worry, you simply need to
reinstall the newer version of FiftyOne and then follow these instructions.
The fiftyone migrate command was introduced in FiftyOne v0.7.3. If you would like to downgrade from a FiftyOne version prior to v0.7.3 (to a yet older version), then you will first need to upgrade to v0.7.3 or later and then follow the instructions above.
To install a FiftyOne version prior to v0.7.0, you must add an
--index option to
pip install --index https://pypi.voxel51.com fiftyone==<version>
FiftyOne and all of its subpackages can be uninstalled with:
pip uninstall fiftyone fiftyone-brain fiftyone-db
If you installed the optional desktop App, you can uninstall it via:
pip uninstall fiftyone-desktop