The open-source tool for building high-quality datasets and computer vision models

Last update: Jan 07, 2023

Overview

The open-source tool for building high-quality datasets and computer vision models.

Website • Docs • Try it Now • Tutorials • Examples • Blog • Community

FiftyOne is an open source ML tool created by Voxel51 that helps you build high-quality datasets and computer vision models.

With FiftyOne, you can search, sort, filter, visualize, analyze, and improve your datasets without excess wrangling or writing custom scripts. It also provides powerful functionality for analyzing your models, allowing you to understand their strengths and weaknesses, visualize, diagnose, and correct their failure modes, and more. FiftyOne is designed to be lightweight and easily integrate into your existing CV/ML workflows.

You can get involved by joining our Slack community, reading our blog on Medium, and following us on social media:

Installation

You can install the latest stable version of FiftyOne via pip:

pip install fiftyone

Consult the installation guide for troubleshooting and other information about getting up-and-running with FiftyOne.

Quickstart

Dive right into FiftyOne by launching the quickstart:

fiftyone quickstart

This command will download a small dataset, launch the App, and print some suggestions for exploring the dataset.

You can also check out this Colab notebook to try some common workflows with the quickstart dataset, or run through this Colab notebok for a more detailed overview of FiftyOne.

Documentation

Full documentation for FiftyOne is available online. In particular, see these resources:

Examples

Check out the fiftyone-examples repository for open source and community-contributed examples of using FiftyOne.

Contributing to FiftyOne

FiftyOne is open source and community contributions are welcome!

Check out the contribution guide to learn how to get involved.

Installing from source

This section explains how to install the latest development version of FiftyOne from source.

The instructions below are for macOS and Linux systems. Windows users may need to make adjustments.

Prerequisites

You will need:

Python (3.6 or newer)
Node.js - on Linux, we recommend using nvm to install an up-to-date version.
Yarn - once Node.js is installed, you can install Yarn via npm install -g yarn
On Linux, you will need at least the openssl and libcurl packages. On Debian-based distributions, you will need to install libcurl4 or libcurl3 instead of libcurl, depending on the age of your distribution. For example:

# Ubuntu 18.04
sudo apt install libcurl4 openssl

# Fedora 32
sudo dnf install libcurl openssl

Installation

We strongly recommend that you install FiftyOne in a virtual environment to maintain a clean workspace. The install script is only supported in POSIX-based systems (e.g. Mac and Linux).

Clone the repository:

git clone --recursive https://github.com/voxel51/fiftyone
cd fiftyone

Run the installation script:

bash install.bash

NOTE: The install script adds to your nvm settings in your ~/.bashrc or ~/.bash_profile, which is needed for installing and building the App. When you pull in new changes to the App, you will need to run yarn build-web in the ./app directory.

If you want to use the fiftyone.brain package, you will need to install it separately after installing FiftyOne:

pip install fiftyone-brain

Customizing your ETA installation

Installing FiftyOne from source includes an ETA lite installation, which should be sufficient for most users. If you want a full ETA installation, or wish to otherwise customize your ETA installation, see here.

Developer installation

If you would like to contribute to FiftyOne, you should perform a developer installation using the -d flag of the install script:

bash install.bash -d

Upgrading your source installation

To upgrade an existing source installation to the bleeding edge, simply pull the latest develop branch and rerun the install script:

git checkout develop
git pull
bash install.bash [-d]

Generating documentation

See the docs guide for information on building and contributing to the documentation.

Uninstallation

You can uninstall FiftyOne as follows:

pip uninstall fiftyone fiftyone-brain fiftyone-db fiftyone-desktop

Citation

If you use FiftyOne in your research, feel free to cite the project (but only if you love it 😊 ):

@article{moore2020fiftyone,
  title={FiftyOne},
  author={Moore, B. E. and Corso, J. J.},
  journal={GitHub. Note: https://github.com/voxel51/fiftyone},
  year={2020}
}

Comments

Targets, Player51 tooltips, new click behavior
Resolves #816, Resolves #709, Resolves #843, Resolves #818, Resolves https://github.com/voxel51/fiftyone/issues/725.

Changelog:

Adds a detailed tooltip to display labels info in Player51's expanded sample view

Adds an API for storing + using mask targets for Segmentation fields in the App and evaluation API

Single-clicks now open the modal, and samples can be selected with top-left checkbox

Arrow up/down rotates z-order of overlays (objects)

The z-order of object in the media player follows the order in which the fields were selected (most recent on top)

TODO:

Ensure only visible objects are a part of z-order rotation from wheel, arrow down, and arrow up events

Add IDs to Classifications

Test Video edge cases

Fix initial movement flicker when tooltip first appears.

Prevent sample grid from scrolling from arrow down/up events when rotating z-order

Retain z-order rotation after mouse move

Skipping filtered objects in the tooltip is broken, it was working...have to fix it again

I'd like to add z-order rotation of field groups from checkbox toggling, but that can come as a separate PR.

NOTE:

I decided to only include one object result in a tooltip, as the tooltip is already quite large when attributes are included. Also, we have the opportunity to include the tooltip in the sample grid, as well...I've left the enabled in the grid (for discussion)

Quickstart to testing:

cd ./app yarn install && yarn build-web

import fiftyone as fo import fiftyone.zoo as foz model = foz.load_zoo_model("deeplabv3-resnet101-coco-torch") dataset = foz.load_zoo_dataset("quickstart") dataset = dataset.limit(10) dataset = dataset.clone("tooltip-testing") dataset.apply_model(model, "segmentations") dataset.persistent = True for s in dataset: s["polyline"] = fo.Polyline(points=[[(0.5, 0.5), (0, 0.5), (0.5, 0)]], closed=True, filled=True) s["keypoints"] = fo.Keypoints(keypoints=[fo.Keypoint(label="cat", target=2, points=[[0.5, 0.5]])]) s["classification"] = fo.Classification(label="testing", target=1) s.save() dataset.default_mask_targets = {i: "idx-%d" % i for i in range(0, 256)} session = fo.Session(dataset=dataset)
feature app core
opened by benjaminpkane 29
Object selection
What changes are proposed in this pull request?

Initial support for selecting individual objects in the media viewer

Selecting all objects in a frame is also supported for videos. More selection options are in progress.

How is this patch tested? If it is not, please explain why.

Locally

Release Notes

Is this a user-facing change that should be mentioned in the release notes?

[ ] No. You can skip the rest of this section.

[x] Yes. Give a description of this change to be included in the release notes for FiftyOne users.

What areas of FiftyOne does this PR affect?

[x] App: FiftyOne application changes

[ ] Build: Build and test infrastructure changes

[ ] Core: Core fiftyone Python library changes

[ ] Documentation: FiftyOne documentation changes

[ ] Other

feature app
opened by lethosor 28
Looker
Summary

Reorganizes the app codebase, splitting the project into three packages (and more later, likely)

app - core react app

desktop - desktop package wrapping the core app package

looker - image and video visualizer supporting canvas overlay labels, video labels are streamed

Deprecates player51

Issues

Resolves #991

Resolves #940

Resolves #390

Resolves #844

Resolves #907

Resolves #1073

Resolves #1021

Resolves #622

Resolves #659

Resolves #1140

enhancement feature app
opened by benjaminpkane 23
Automatic notebook screenshots

Introduces automatic screenshot replacement for the previously shown app cell in notebooks. The IFRAME is replaced with a standalone HTML handle that contains the screenshot and a small hover interaction that displays a reactivation button. Switching to an HTML handle removes the need for the server to be running, and allows for exporting a notebook to HTML with screenshots intact.
feature app

opened by benjaminpkane 23

Adding a Heatmap label type

Adds a Heatmap label type that can be used to store array data whose values are interpreted as continuous values along an App-configurable colormap.

Heatmap is similar but distinct from the existing Segmentation label type, which stores categorical array data whose pixels correspond to (eg) string labels rather than numerical intensity-like data.

The optional Heatmap.range parameter allows the user to specify the intended dynamic range of a heatmap. If not specified, a range of [0, 1] will be assumed if the array contains floating points values and [0, 255] if the heatmap contains integer values.

In "color by field" mode in the App, heatmaps are rendered in a single color with opacity proportional to the absolute value of the pixel value. So, for example, when range=[0, 1], 0 is 0% transparent and 1 is 100% opaque, while when range=[-50, 100], -50 is 50% opaque, 0 is 0% opaque, and 100 is 100% opaque.

In "color by value" mode, heatmaps are instead rendered with a fixed transparency using a colorscale that can be configured via the new colorscale property of the App config.

Since plotly is already a strict dependency of FiftyOne, we use it to handle colorscale -> colormap generation, as they already provide quite sophisticated support for that. The colorscale App config parameter can be set to any named plotly colorscale like "viridis" (there are many), but the user could even set this to a completely custom colorscale during execution and AppConfig.get_colormap() would handle it. See the added user guide docs for details and examples.

Simple usage

import numpy as np
import fiftyone as fo

sample = fo.Sample(
    filepath="/path/to/image.png",
    heatmap=fo.Heatmap(map=np.random.random(size=(64, 64))),
)

print(sample)

Image example

import numpy as np
import fiftyone as fo
import fiftyone.zoo as foz

def make_heatmap(metadata):
    height = metadata.height // 2
    width = metadata.width // 2
    x, y = np.meshgrid(np.linspace(-1, 1, width), np.linspace(-1, 1, height))

    sign = np.sign(np.random.randn())
    x0, y0 = np.random.random(2) - 0.5
    heatmap = sign * np.exp(-np.sqrt((x - x0) ** 2 + (y - y0) ** 2))

    return fo.Heatmap(map=heatmap, range=[-1, 1])

dataset = foz.load_zoo_dataset("quickstart").select_fields().clone()
dataset.compute_metadata()

for sample in dataset:
    sample["heatmap"] = make_heatmap(sample.metadata)
    sample.save()

session = fo.launch_app(dataset)

# Select `Settings -> Color by value` in the App
# Heatmaps will now be rendered using your default colorscale (printed below)
print(session.config.colorscale)

# Switch to a different named colorscale
session.config.colorscale = "RdBu"
session.refresh()

# Use a custom colorscale
session.config.colorscale = [
    [0.00, "rgb(166,206,227)"],
    [0.25, "rgb(31,120,180)"],
    [0.45, "rgb(178,223,138)"],
    [0.65, "rgb(51,160,44)"],
    [0.85, "rgb(251,154,153)"],
    [1.00, "rgb(227,26,28)"],
]
session.refresh()

Video example

import numpy as np
import fiftyone as fo
import fiftyone.zoo as foz

def drift(z):
    znew = ((z + 0.3 * np.random.randn() + 1) % 2) - 1
    return 0.9 * z + 0.1 * znew

def dancing_normal(h, w, n):
    x, y = np.meshgrid(np.linspace(-1, 1, w), np.linspace(-1, 1, h))
    x0, y0 = 0, 0

    maps = []
    for _ in range(n):
        x0, y0 = drift(x0), drift(y0)
        heatmap = np.exp(-np.sqrt((x - x0) ** 2 + (y - y0) ** 2))  # float heatmap
        # heatmap = np.round(255 * heatmap).astype(np.uint8)  # integer heatmap
        maps.append(heatmap)

    return maps

dataset = foz.load_zoo_dataset("quickstart-video", max_samples=1).select_fields().clone()
dataset.compute_metadata()

sample = dataset.first()

height = sample.metadata.frame_height // 16
width = sample.metadata.frame_width // 16
num_frames = len(sample.frames)
heatmaps = dancing_normal(height, width, num_frames)

for frame, heatmap in zip(sample.frames.values(), heatmaps):
    frame["heatmap"] = fo.Heatmap(map=heatmap)

sample.save()

session = fo.launch_app(dataset)

feature

opened by brimoor 22

Adds string and boolean field filters in the sidebar
Resolves https://github.com/voxel51/fiftyone/issues/827, Resolves https://github.com/voxel51/fiftyone/issues/833.

Also addresses points 1 and 2 from https://github.com/voxel51/fiftyone/issues/803.

Very happy with this refactor. Lots of technical debt has been banished.

Adds string and boolean field filters in the sidebar

Adds color by label support for classification and scalar field bubbles in the sample grid

Needs more testing, I have yet to test video and classifications. The implementation is complete. though.
feature app
opened by benjaminpkane 21

Adding support for date and datetime fields

Resolves https://github.com/voxel51/fiftyone/issues/1144 Resolves #1335

Adds support for storing date information in FiftyOne datasets by directly populating sample or embedded document fields with date or datetime instances.

Timezones and date-based queries are naturally supported 🎵👂

Timezone example

Timezone handling is pretty clean:

from datetime import datetime, timedelta
import pytz

import fiftyone as fo

# These are all the epoch
date1 = datetime(1970, 1, 1, 0, 0, 0)
utcdate1 = date1.replace(tzinfo=pytz.utc)
date2 = utcdate1.astimezone(pytz.timezone("US/Eastern"))
date3 = utcdate1.astimezone(pytz.timezone("US/Pacific"))

# FiftyOne treats naive datetimes as UTC implicitly
sample1 = fo.Sample(filepath="image1.png", date=date1)

# FiftyOne accepts timezone-aware datetimes too
sample2 = fo.Sample(filepath="image2.png", date=date2)
sample3 = fo.Sample(filepath="image3.png", date=date3)

dataset = fo.Dataset()
dataset.add_samples([sample1, sample2, sample3])

fo.config.timezone = "US/Eastern"
dataset.reload()

print(sample1.date.tzinfo.zone == "US/Eastern")  # True
print((sample1.date - utcdate1).total_seconds())  # 0.0
print((sample1.date - sample2.date).total_seconds())  # 0.0
print((sample1.date - sample3.date).total_seconds())  # 0.0

fo.config.timezone = None
dataset.reload()

print(sample1.date.tzinfo is None)  # True
print((sample1.date - date1).total_seconds())  # 0.0
print((sample1.date - sample2.date).total_seconds())  # 0.0
print((sample1.date - sample3.date).total_seconds())  # 0.0

Dataset view example

And of course, support for date-based dataset views is there, too!

from datetime import datetime, timedelta

import fiftyone as fo
from fiftyone import ViewField as F

dataset = fo.Dataset()
dataset.add_samples(
    [
        fo.Sample(
            filepath="image1.png",
            creation_date=datetime(2021, 8, 24, 1, 0, 0),
        ),
        fo.Sample(
            filepath="image2.png",
            creation_date=datetime(2021, 8, 24, 2, 0, 0),
        ),
        fo.Sample(
            filepath="image3.png",
            creation_date=datetime(2021, 8, 24, 3, 0, 0),
        ),
    ]
)

query_date = datetime(2021, 8, 24, 2, 1, 0)
query_delta = timedelta(minutes=30)

# Samples with creation date after 2021-08-24 02:01:00
view = dataset.match(F("creation_date") > query_date)
print(view)

# Samples with creation date within 30 minutes of 2021-08-24 02:01:00
view = dataset.match(abs(F("creation_date") - query_date) < query_delta)
print(view)

App filtering example

from datetime import date, datetime, timedelta
import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("quickstart").select_fields().clone()

today = date.today()
now = datetime.utcnow()

for idx, sample in enumerate(dataset):
    # Date-only
    sample["dates"] = today - timedelta(days=idx)

    # Date and time
    sample["ms"] = now - timedelta(milliseconds=idx)
    sample["seconds"] = now - timedelta(seconds=idx)
    sample["minutes"] = now - timedelta(minutes=idx)
    sample["hours"] = now - timedelta(hours=idx)
    sample["days"] = now - timedelta(days=idx)
    sample["weeks"] = now - timedelta(weeks=idx)
    sample.save()

session = fo.launch_app(dataset)

feature

opened by brimoor 20

FiftyOne needs a lite ETA install, which can be performed via pip
(this issue belongs in ETA, but I'm adding it here first for visibility, as FiftyOne is the primary user of this needed install improvement)

FiftyOne currently performs a full ETA install (https://github.com/voxel51/eta/blob/develop/install.bash), which includes the following items:

base machine packages

should be moved out of the pip install component of the ETA install and instead moved to a startup script or some other appropriate place

basic python requirements

pip install eta

ffmpeg

not needed right now, but will be needed when we start to work with videos. however, perhaps FiftyOne should be in charge of installing this and never ETA

imagemagick

probably never needed, used only by a few methods in eta.core.image that we'd never be calling

tensorflow

not needed for fiftyone; user will install if they need TF for either fiftyone or eta package reasons

submodules, including tensorflow/models

not needed for fiftyone

ETA needs a lite install process that installs what FiftyOne needs and nothing else, which can be accomplished via pip install.

To preserve functionality for existing users, ETA also needs a full install that can be accomplished via pip install
setup
opened by brimoor 18
Dataset Zoo and MVP SDK interface
This PR is pretty big, but it accomplishes the following two goals:

establishes a FiftyOne Dataset Zoo

implements a functioning prototype interface that users can use to engage with their datasets

Run the example code in examples/interface.py and let me know what you think.

FiftyOne Dataset Zoo

A Dataset Zoo is established in FiftyOne that enables users to download any of a collection of datasets using the syntax:

import fiftyone.core.data as fod fod.load_zoo_dataset("cifar10")

Behind the scenes, it grabs datasets using either the TF Zoo or the PyTorch Zoo, depending on which package is installed on the user's machine. All datasets are stored on disk in eta.core.datasets.LabeledImageDataset format.

Prototype Dataset interface

My goal here was to have a working example of performing the following tasks:

loading a dataset with ground truth annotations into FiftyOne

allowing the user to iterate over (image, ImageLabels) pairs in the dataset, where the labels are either the ground truth labels or a set of predicted labels

allowing the user to select a specific frame attribute and iterate over the (img, label) pairs in the dataset, as would be fed to a classifier during training

allowing the user to register a new model against the dataset

allowing the user to iterate over (image, sample ID) pairs so they can add new predictions to the dataset

To accomplish this, I implemented prototype versions of the following classes:

fiftyone.experimental.data.Dataset: the underlying class that stores all information about the dataset, including paths to the raw images on disk, ground truth annotations, one or more sets of predicted labels, and additional metadata accompanying all of these items, such as sample hardness, annotation correctness, etc

fiftyone.experimental.contexts.DatasetContext: classes that represent specific contexts into the dataset. Examples include: - ImageContext: pulls only the images from the dataset. Iterating over this yields imgs - LabeledImageContext: pulls images and a particular set of ImageLabels (e.g., ground truth) from the dataset. Iterating over contexts of this kind yield (img, ImageLabels) pairs - ImageClassificationContext: pulls images and a particular frame attribute from a LabeledImageContext from the dataset. Iterating over contexts of this kind yield (img, label) pairs - ModelContext: pulls a specific model from the dataset, so that additional predictions can be added to samples. Iterating over context of this kind yield (img, sample ID) pairs

fiftyone.experimental.views.DatasetView: classes that allow read-only operations to be performed on a DatasetContext. These allow things like sorting by X, shuffling, removing specific samples (from the view, not the underlying dataset), iterating over the samples in the view, and exporting the current state of the view as a dataset on disk

To achieve a functional prototype of the above, my fiftyone.experimental.data.Dataset class has an actual implementation. This, of course, will be thrown out and grafted onto the MongoDB interface.

Again, see examples/interface.py to see this functionality in action.

I'm not sure that there needs to be a difference between DatasetContexts and DatasetViews. But, there is the interesting distinction to be made that one may want a "read-only" playground that DatasetViews offer where any slicing and dicing of the dataset is not permanent.

Key Design Principles

all images are stored on disk

image paths and labels are stored in-memory (anticipating MongoDB being grafted onto this work in the backend)

don't import tensorflow or torch unless the user specifically requests functionality that requires them

feature
opened by brimoor 18
App enhancements
Ready for review. Jupyter needs a bug to be fixed, though. Will resolve tomorrow.

Resolves #799 , #804, #781, #780

Fields are now properly filtered when selected or exclude stages exist in the view. Includes video dataset support

Selecting and only showing or hiding samples in the App now works as one would expect

Color pool and player51 options Show confidence and Show attributes are now config and session options (needs cleanup)

bug enhancement app
opened by benjaminpkane 17

Adding support for creating datasets and launching the dashboard via the CLI

Now you can do stuff like this via the CLI:

$ fiftyone datasets list
cifar10-test

$ fiftyone datasets delete cifar10-test
Dataset 'cifar10-test' deleted

$ fiftyone datasets list
No datasets found

$ fiftyone zoo load cifar10 --splits test
Split 'test' already downloaded
Loading 'cifar10' split 'test'
Adding samples...
 100% |███████████████████████████| 10000/10000 [6.2s elapsed, 0s remaining, 1.7K samples/s]        
Dataset 'cifar10-test' created

$ fiftyone datasets list
cifar10-test

$ fiftyone datasets info cifar10-test
Name:           cifar10-test
Persistent:     True
Num samples:    10000
Tags:           ['test']
Sample fields:
    filepath:     fiftyone.core.fields.StringField
    tags:         fiftyone.core.fields.ListField(fiftyone.core.fields.StringField)
    metadata:     fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.metadata.Metadata)
    ground_truth: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Classification)

$ fiftyone dashboard launch cifar10-test
Dashboard launched

To exit, type ctrl + c

Remote sessions are also supported:

(From remote machine)

$ fiftyone dashboard launch cifar10-test --remote
You have launched a remote dashboard on port 5151. To connect to this dashboard
from another machine, issue the following command:

fiftyone dashboard connect --destination [<username>@]<hostname> --port 5151

where `[<username>@]<hostname>` refers to your current machine. Alternatively,
you can manually configure port forwarding on another machine as follows:

ssh -N -L 5151:127.0.0.1:5151 [<username>@]<hostname>

and then connect to the dashboard on that machine using either
`fiftyone dashboard connect` or from Python via `fiftyone.launch_dashboard()`.

To exit, type ctrl + c

(From local machine)

$ fiftyone dashboard connect --destination [<username>@]<hostname> --port 5151
Dashboard launched

To exit, type ctrl + c

feature

opened by brimoor 16

[BUG] CSV Exporter has too many double quotes in list fields
System information

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Mac OSX A1 chip

Python version (python --version): 3.10.8

FiftyOne version (fiftyone --version): develop

FiftyOne installed from (pip or source): source

Commands to reproduce

As thoroughly as possible, please provide the Python and/or shell commands used to encounter the issue. Application steps can be described in the next section.

import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("quickstart") view = dataset.limit(2) view.export( dataset_type=fo.types.CSVDataset, export_dir="/tmp/csv_export_test", fields=[ "filepath", "tags", "ground_truth.detections.tags", "ground_truth.detections.label" ] )

Describe the problem

CSV Exporter quotes list fields one too many times so that if read in by a CSV reader, the whole list will be surrounded by double quotes.

Above code generates this:

filepath,tags,ground_truth.detections.tags,ground_truth.detections.label 000880.jpg,"""validation""","""[],[],[]""","""bird,bird,bird"""

Vs. expected:

filepath,tags,ground_truth.detections.tags,ground_truth.detections.label 000880.jpg,"validation","[],[],[]","bird,bird,bird"

What areas of FiftyOne does this bug affect?

[ ] App: FiftyOne application issue

[x] Core: Core Python library issue

[ ] Server: FiftyOne server issue

Willingness to contribute

The FiftyOne Community encourages bug fix contributions. Would you or another member of your organization be willing to contribute a fix for this bug to the FiftyOne codebase?

[x] Yes. I can contribute a fix for this bug independently

[ ] Yes. I would be willing to contribute a fix for this bug with guidance from the FiftyOne community

[ ] No. I cannot contribute a bug fix at this time

bug
opened by swheaton 2
[FR] Integrate pull request preview environments
Instructions

Thank you for submitting an issue. Please refer to our issue policy for information on what types of issues we address.

Proposal Summary

I would like to support FiftyOne by implementing Uffizzi preview environments. Disclaimer: I work on Uffizzi.

Uffizzi is a Open Source full stack previews engine and our platform is available completely free for FiftyOne (and all open source projects). This will provide maintainers with preview environments of every PR in the cloud, which enables faster iterations and reduces time to merge. You can see the open source repos which are currently using Uffizzi over here

Uffizzi is purpose-built for the task of previewing PRs and it integrates with your workflow to deploy preview environments in the background without any manual steps for maintainers or contributors.

We can go ahead and create an Initial PoC for you right away if you think there is value in this proposal.

TODO:

[ ] Intial PoC

Motivation

What is the use case for this feature? You will be able to preview every change made to fiftyone before the PR is merged. The server and the app will be previewed together at all times in this case.

Why is this use case valuable to support for FiftyOne users in general?

Why is this use case valuable to support for your project(s) or organization?

Why is it currently difficult to achieve this use case?

What areas of FiftyOne does this feature affect?

[x] App: FiftyOne application

[ ] Core: Core fiftyone Python library

[x] Server: FiftyOne server

Details

Use this section to include any additional information about the feature. If you have a proposal for how to implement this feature, please include it here.

Willingness to contribute

The FiftyOne Community welcomes contributions! Would you or another member of your organization be willing to contribute an implementation of this feature?

[x] Yes. I can contribute this feature independently

[ ] Yes. I would be willing to contribute this feature with guidance from the FiftyOne community

[ ] No. I cannot contribute this feature at this time

feature
opened by waveywaves 0
3d/iou
New branch (branching off of bugfix/3d for 3d IoU computation. Added in a few unit tests. Haven't added a unit test for rotated bounding boxes yet, but everything seems to work as expected so far.

This supersedes the old 3d iou and detection evaluation branch (also I pulled develop into that one instead of merging it in so the branch was unwieldy. As such, I've closed that PR: https://github.com/voxel51/fiftyone/pull/2340

Release Notes

Along with the other 3d changes, these evaluation methods expect the 3d bounding box to be given with location being the centroid of the cuboid.

Is this a user-facing change that should be mentioned in the release notes?

[ ] No. You can skip the rest of this section.

[x] Yes. Give a description of this change to be included in the release notes for FiftyOne users.

(Details in 1-2 sentences. You can just refer to another PR with a description if this PR is part of a larger change.)

evaluate_detections() now supports 3d bounding boxes.

What areas of FiftyOne does this PR affect?

[ ] App: FiftyOne application changes

[ ] Build: Build and test infrastructure changes

[x] Core: Core fiftyone Python library changes

[ ] Documentation: FiftyOne documentation changes

[ ] Other
opened by jacobmarks 1
CHEAT SHEET: FO terminology
First draft of cheat sheet introducing the basic terminology in FO. Would love to get this into the 0.19 release! This is higher priority than the filtering and view stages cheat sheets :)

Once we get this, and the filtering and view stages cheat sheets approved, we can create a new section in the docs for cheat sheets.

[ ] No. You can skip the rest of this section.

[ ] Yes. Give a description of this change to be included in the release notes for FiftyOne users.

(Details in 1-2 sentences. You can just refer to another PR with a description if this PR is part of a larger change.)

What areas of FiftyOne does this PR affect?

[ ] App: FiftyOne application changes

[ ] Build: Build and test infrastructure changes

[ ] Core: Core fiftyone Python library changes

[x] Documentation: FiftyOne documentation changes

[ ] Other
opened by jacobmarks 0

add support for rgb overlays

Resolves #1730.

Change log

Adds support for visualizing RGB segmentations in the App
Adds support for RGB segmentations in evaluate_segmentations()
Adds support for passing RGB mask targets to objects_to_segmentations()
Adds a new transform_segmentations() utility to transform existing masks between grayscale <> RGB

Example usage

import fiftyone as fo
import fiftyone.zoo as foz
import fiftyone.utils.labels as foul

mask_targets = {"#FF6D04": "person", "#499CEF": "cat", "#6D04FF": "dog"}

dataset = foz.load_zoo_dataset(
    "coco-2017",
    split="validation",
    label_types=["segmentations"],
    classes=["person", "cat", "dog"],
    label_field="instances",
    max_samples=25,
    only_matching=True,
)

foul.objects_to_segmentations(
    dataset,
    "instances",
    "segmentations",
    mask_targets=mask_targets,
)

dataset.default_mask_targets = mask_targets

# Test in-database RGB segmentations in App
session = fo.launch_app(dataset)

foul.export_segmentations(
    dataset, "segmentations", "/tmp/segmentations", overwrite=True
)

# Test on-disk RGB segmentations in App
session.refresh()

# Test evaluating RGB segmentations
dataset.rename_sample_field("segmentations", "ground_truth")
dataset.clone_sample_field("ground_truth", "predictions")

results1 = dataset.evaluate_segmentations(
    "predictions", gt_field="ground_truth", mask_targets=mask_targets
)
results1.print_report()

results2 = dataset.evaluate_segmentations("predictions", gt_field="ground_truth")
results2.print_report()

# Convert to grayscale
targets_map = {"#FF6D04": 1, "#499CEF": 2, "#6D04FF": 3}
foul.import_segmentations(dataset, "ground_truth")
foul.transform_segmentations(dataset, "ground_truth", targets_map)
foul.transform_segmentations(
    dataset, "predictions", targets_map, update_mask_targets=True
)

# Edit grayscale values
foul.transform_segmentations(
    dataset, "predictions", {1: 70, 2: 140, 3: 210}, update_mask_targets=True
)

# Convert back to RGB
foul.transform_segmentations(
    dataset, "predictions", {70: "#FF6D04", 140: "#499CEF", 210: "#6D04FF"}
)

feature

opened by sashankaryal 1

Releases(v0.18.0)

v0.18.0(Nov 10, 2022)
What's Changed

Release v0.17.0 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2073

Merging v0.17 release into develop by @brimoor in https://github.com/voxel51/fiftyone/pull/2099

[HOTFIX] Release v0.17.1 (patch Python 3.7) by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2100

Main into develop by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2102

[HOTFIX] Backward Compatible App by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2103

Merging develop into main by @brimoor in https://github.com/voxel51/fiftyone/pull/2108

Fixes #1669 by @NeoKish in https://github.com/voxel51/fiftyone/pull/2107

Move plugin imports by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2109

Updating docs header/footer by @brimoor in https://github.com/voxel51/fiftyone/pull/2118

Fix documentation download links by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2116

YOLOv5DatasetExporter: Add flag to use export_dir for path value by @karsil in https://github.com/voxel51/fiftyone/pull/2114

Add option to import COCO annotation id by @dlangenk in https://github.com/voxel51/fiftyone/pull/2122

New Isolated Dataset Component by @ritch in https://github.com/voxel51/fiftyone/pull/2052

improve plugin install docs by @ritch in https://github.com/voxel51/fiftyone/pull/2125

Typo fixes by @oguz-hanoglu in https://github.com/voxel51/fiftyone/pull/2132

Dataset Reloading on Click by @ritch in https://github.com/voxel51/fiftyone/pull/2129

avoid using router context by @ritch in https://github.com/voxel51/fiftyone/pull/2137

fix worker fetch params by @ritch in https://github.com/voxel51/fiftyone/pull/2138

add test app for dataset embed component by @ritch in https://github.com/voxel51/fiftyone/pull/2139

Fix JSON/Help outside click handling by @ritch in https://github.com/voxel51/fiftyone/pull/2136

Fixing select_by() ID bug by @brimoor in https://github.com/voxel51/fiftyone/pull/2140

Automatic Docker address + moving instructions to the docs by @brimoor in https://github.com/voxel51/fiftyone/pull/2141

Adding schema() aggregation by @brimoor in https://github.com/voxel51/fiftyone/pull/1137

add note to plugin docs by @ritch in https://github.com/voxel51/fiftyone/pull/2148

add interpolation option for image resizing by @HoopsMcann in https://github.com/voxel51/fiftyone/pull/2128

Fix detectron2 tutorial by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2152

Fix view expression sort documentation by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2150

use 5151 local address instead of localhost by @ritch in https://github.com/voxel51/fiftyone/pull/2160

fix: create annotation run crashes if some but not all samples are labeled by @oddeirikigland in https://github.com/voxel51/fiftyone/pull/2145

only warn when plugin re-registered by @ritch in https://github.com/voxel51/fiftyone/pull/2159

DB config cleanup by @brimoor in https://github.com/voxel51/fiftyone/pull/2179

Update cvat.rst by @andife in https://github.com/voxel51/fiftyone/pull/2177

Update to MongoDB 6.0.2 for m1 Macs by @kaixi-wang in https://github.com/voxel51/fiftyone/pull/2165

Fix relay compilation and ensure future compilations in builds by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2182

add support for readOnly mode by @ritch in https://github.com/voxel51/fiftyone/pull/2181

Minor fixes to contributing.md by @NeoKish in https://github.com/voxel51/fiftyone/pull/2183

Handling grouped collections when sampling frames by @brimoor in https://github.com/voxel51/fiftyone/pull/2144

Refactor merge_samples() to safely cleanup in case of errors by @brimoor in https://github.com/voxel51/fiftyone/pull/2135

Fix qdrant tutorial by @kaixi-wang in https://github.com/voxel51/fiftyone/pull/2188

add info to dataset by @lauralindy in https://github.com/voxel51/fiftyone/pull/2198

Theme Refresh (with new light mode) by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2156

Fixes mutation of label tags from patches views in the App by @brimoor in https://github.com/voxel51/fiftyone/pull/2200

Support cuda devices for CLIP zoo model by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2201

Update detection.py by @jacobmarks in https://github.com/voxel51/fiftyone/pull/2199

App bug reports by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2115

use theme based color for action row tooltip text by @imanjra in https://github.com/voxel51/fiftyone/pull/2202

Transparent looker background by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2207

Minor fixes to fiftyone/README.md by @NeoKish in https://github.com/voxel51/fiftyone/pull/2206

Optimizing tagging implementations by @brimoor in https://github.com/voxel51/fiftyone/pull/2203

fix flashlight clipping from height overflow by @imanjra in https://github.com/voxel51/fiftyone/pull/2212

Fix unset media field by @ritch in https://github.com/voxel51/fiftyone/pull/2217

reduce sidebar margin to fix left vertical edge by @imanjra in https://github.com/voxel51/fiftyone/pull/2211

looker arrow styles enhancements by @imanjra in https://github.com/voxel51/fiftyone/pull/2221

More intuitive behavior of exists() for frame fields by @brimoor in https://github.com/voxel51/fiftyone/pull/2209

More tagging optimization by @brimoor in https://github.com/voxel51/fiftyone/pull/2208

Allow frame views to edit source frame filepaths by @brimoor in https://github.com/voxel51/fiftyone/pull/2193

Remove old session client by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2225

fix typo in colorscale route by @kaixi-wang in https://github.com/voxel51/fiftyone/pull/2226

Upgrade server and MongoDB python requirements by @j053y in https://github.com/voxel51/fiftyone/pull/2215

Downgrade starlette by @j053y in https://github.com/voxel51/fiftyone/pull/2231

Update CVAT integration and docs to point to app.cvat.ai by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2228

fix range slider value label style by @imanjra in https://github.com/voxel51/fiftyone/pull/2224

update view bar colors on theme change by @imanjra in https://github.com/voxel51/fiftyone/pull/2232

remove redundant font family styles by @imanjra in https://github.com/voxel51/fiftyone/pull/2233

fix label tag text color in light theme by @imanjra in https://github.com/voxel51/fiftyone/pull/2235

action row popover content color enhancements by @imanjra in https://github.com/voxel51/fiftyone/pull/2237

Migration using removed pymongo method by @j053y in https://github.com/voxel51/fiftyone/pull/2240

fix toggling field not capturing click some times by @imanjra in https://github.com/voxel51/fiftyone/pull/2234

fix json panel styles in light theme by @imanjra in https://github.com/voxel51/fiftyone/pull/2223

fix json/help panel not closing on control click by @imanjra in https://github.com/voxel51/fiftyone/pull/2242

Build 404 for SPA intex.html handling by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2243

fix looker3d controls styles in light theme by @imanjra in https://github.com/voxel51/fiftyone/pull/2236

Add Field Description and Info to App by @ritch in https://github.com/voxel51/fiftyone/pull/2241

Optimizing ordered select implementation by @brimoor in https://github.com/voxel51/fiftyone/pull/2227

Export state from dataset module by @ritch in https://github.com/voxel51/fiftyone/pull/2214

toggle sidebar entry only on clicking header by @imanjra in https://github.com/voxel51/fiftyone/pull/2247

Custom embedded fields in the App by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2239

Adding support for dynamic embedded document field schemas by @brimoor in https://github.com/voxel51/fiftyone/pull/1825

Sync router state by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2230

Adding support for field descriptions by @brimoor in https://github.com/voxel51/fiftyone/pull/2216

fix toggle error when click start event is unset by @imanjra in https://github.com/voxel51/fiftyone/pull/2251

Field desc fixups by @ritch in https://github.com/voxel51/fiftyone/pull/2252

Fix typo in get_dataloader by @kaixi-wang in https://github.com/voxel51/fiftyone/pull/2259

Add support for configuring the default App theme by @brimoor in https://github.com/voxel51/fiftyone/pull/2253

update color scheme on theme update by @imanjra in https://github.com/voxel51/fiftyone/pull/2263

App sidebar mode and optimizations by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2191

Strawberry kwargs by @brimoor in https://github.com/voxel51/fiftyone/pull/2266

Documenting app config resets by @brimoor in https://github.com/voxel51/fiftyone/pull/2269

Sidebar resets by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2271

Removed extra title by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2274

New Contributors

@NeoKish made their first contribution in https://github.com/voxel51/fiftyone/pull/2107

@karsil made their first contribution in https://github.com/voxel51/fiftyone/pull/2114

@dlangenk made their first contribution in https://github.com/voxel51/fiftyone/pull/2122

@oguz-hanoglu made their first contribution in https://github.com/voxel51/fiftyone/pull/2132

@HoopsMcann made their first contribution in https://github.com/voxel51/fiftyone/pull/2128

@oddeirikigland made their first contribution in https://github.com/voxel51/fiftyone/pull/2145

@andife made their first contribution in https://github.com/voxel51/fiftyone/pull/2177

@kaixi-wang made their first contribution in https://github.com/voxel51/fiftyone/pull/2165

@lauralindy made their first contribution in https://github.com/voxel51/fiftyone/pull/2198

@jacobmarks made their first contribution in https://github.com/voxel51/fiftyone/pull/2199

Full Changelog: https://github.com/voxel51/fiftyone/compare/v0.17.0...v0.18.0
Source code(tar.gz)
Source code(zip)
desktop-v0.24.0(Nov 10, 2022)

Source code(tar.gz)
Source code(zip)
db-v0.4.0(Nov 8, 2022)

Source code(tar.gz)
Source code(zip)
v0.17.2(Sep 21, 2022)
What's Changed

[HOTFIX] Release v0.17.1 (patch Python 3.7) by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2100

Full Changelog: https://github.com/voxel51/fiftyone/compare/v0.17.0...v0.17.2
Source code(tar.gz)
Source code(zip)
desktop-v0.23.2(Sep 21, 2022)

Source code(tar.gz)
Source code(zip)
v0.17.1(Sep 20, 2022)

What's Changed

Full Changelog: https://github.com/voxel51/fiftyone/compare/v0.17.0...v0.17.1
Source code(tar.gz)
Source code(zip)
desktop-v0.23.1(Sep 20, 2022)

Source code(tar.gz)
Source code(zip)
v0.17.0(Sep 19, 2022)
What's Changed

Releases v0.16.3 and v0.16.4 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1896

Release v0.16.5 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1907

Fix custom_parser implementation in recipe by @idow09 in https://github.com/voxel51/fiftyone/pull/1909

Adding support for serializing Aggregations by @brimoor in https://github.com/voxel51/fiftyone/pull/1911

Adding support for customizing the output location of to_frames() by @neuralsyn in https://github.com/voxel51/fiftyone/pull/1798

Fix bug when loading group ids in CVAT video tasks by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1917

Handle sample tags with "." in App by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1924

[BUG] Resolve bug when uploading to projects in CVAT by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1926

Fix result alignment in App by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1930

Fix refresh after in App view change by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1931

Fix App mask targets by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1943

Fix App masks by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1949

Plugins + Groups by @ritch in https://github.com/voxel51/fiftyone/pull/1954

Adding quantiles aggregation by @brimoor in https://github.com/voxel51/fiftyone/pull/1937

Pinned Samples by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1963

Move point cloud plugin and settings by @ritch in https://github.com/voxel51/fiftyone/pull/1968

Merge Dataset media fields into Plugins and Groups by @ritch in https://github.com/voxel51/fiftyone/pull/1969

[WIP] Adding support for serializing and deserializing dynamic non-JSON fields by @brimoor in https://github.com/voxel51/fiftyone/pull/1938

Merge latest branch into plugins-and-groups by @ritch in https://github.com/voxel51/fiftyone/pull/1972

Fix session views by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1980

update tabulate to 0.8.10 for source install by @imanjra in https://github.com/voxel51/fiftyone/pull/1979

CVAT Annotate attribute documentation update by @geoffrp in https://github.com/voxel51/fiftyone/pull/1973

GeoJSONField Map Plot by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1976

#1951 and #1952 by @brimoor in https://github.com/voxel51/fiftyone/pull/1953

Fixing #1966 by @brimoor in https://github.com/voxel51/fiftyone/pull/1967

Adding weighted_sample() and balanced_sample() utils by @brimoor in https://github.com/voxel51/fiftyone/pull/1925

Passing attributes through during label coercions by @brimoor in https://github.com/voxel51/fiftyone/pull/1993

v0.17.0rc0 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2003

Adding plotly v5 support! by @brimoor in https://github.com/voxel51/fiftyone/pull/1981

CVAT optimizations by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1944

Extending stats() method to sample collections by @brimoor in https://github.com/voxel51/fiftyone/pull/1940

Groups (adding App support) by @ritch in https://github.com/voxel51/fiftyone/pull/1955

Adding new_ids=True option to Dataset.add_collection() by @brimoor in https://github.com/voxel51/fiftyone/pull/1927

Bug fixes by @brimoor in https://github.com/voxel51/fiftyone/pull/1922

Label studio integration by @Rusteam in https://github.com/voxel51/fiftyone/pull/1848

Adding support for writing transformed images/videos to new location/field by @brimoor in https://github.com/voxel51/fiftyone/pull/2007

Label studio updates by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2006

Save context tweaks by @brimoor in https://github.com/voxel51/fiftyone/pull/2012

Adding ipywidgets<8 requirement by @brimoor in https://github.com/voxel51/fiftyone/pull/2011

Package-wide logging config by @brimoor in https://github.com/voxel51/fiftyone/pull/2009

Adding a dataset save context by @j053y in https://github.com/voxel51/fiftyone/pull/1727

Fix Issue #1903 path variable by @victor1cea in https://github.com/voxel51/fiftyone/pull/2016

Adding client compatibility versions by @brimoor in https://github.com/voxel51/fiftyone/pull/2017

add mediafield support to looker3d by @ritch in https://github.com/voxel51/fiftyone/pull/2022

Fix documentation builds by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2023

Error handling for Looker3D by @ritch in https://github.com/voxel51/fiftyone/pull/2015

common json panel for 2d/3d lookers by @ritch in https://github.com/voxel51/fiftyone/pull/2021

Release v0.16.6 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2008

refactor tooltips for 3d by @ritch in https://github.com/voxel51/fiftyone/pull/2024

Fix README slack links by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2031

Merging v0.16.6 into groups by @brimoor in https://github.com/voxel51/fiftyone/pull/2034

Don't include runs when merging collections by @brimoor in https://github.com/voxel51/fiftyone/pull/2030

Adding option to export per-sample JSON in FiftyOneDataset format by @brimoor in https://github.com/voxel51/fiftyone/pull/2028

Groups zoo fixes by @brimoor in https://github.com/voxel51/fiftyone/pull/2039

Fixing match_frames() bug by @brimoor in https://github.com/voxel51/fiftyone/pull/2029

Remove old session module by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2041

Adding grouped dataset importer/exporter interfaces by @brimoor in https://github.com/voxel51/fiftyone/pull/2035

Groups cleaning and video fix by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2046

Fix group session updates by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2026

Looker3d: add color by instance and label support by @ritch in https://github.com/voxel51/fiftyone/pull/2045

Looker3d hotkeys by @ritch in https://github.com/voxel51/fiftyone/pull/2032

Keep app_config in sync with dataset schema changes by @brimoor in https://github.com/voxel51/fiftyone/pull/2043

Adding support for linking directly to imported subpackage contents by @brimoor in https://github.com/voxel51/fiftyone/pull/2048

Optimizing group selection in server get_view() by @brimoor in https://github.com/voxel51/fiftyone/pull/2055

Improving groups migration by @brimoor in https://github.com/voxel51/fiftyone/pull/2053

Fixing custom embedded documents regression by @brimoor in https://github.com/voxel51/fiftyone/pull/2051

Persistent group slice in expanded view by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2025

Bugfixes for Groups/Looker3D by @ritch in https://github.com/voxel51/fiftyone/pull/2056

Adding plugins docs/env var by @brimoor in https://github.com/voxel51/fiftyone/pull/2061

Update install.rst by @GeorgePearse in https://github.com/voxel51/fiftyone/pull/2068

Fixing select_by() bug by @brimoor in https://github.com/voxel51/fiftyone/pull/2059

Adding rel_dir to export() and draw_labels() by @brimoor in https://github.com/voxel51/fiftyone/pull/2060

Add CLIP to the model zoo by @Rusteam in https://github.com/voxel51/fiftyone/pull/1691

Group statistics and tagging mode by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2038

Fix Colab sessions and screenshotting by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2069

Update evaluate detections notebook to use only_matches=False when filtering labels by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2071

Fix CVAT bug when checking if a task exists by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2070

Add Detectron2 tutorial by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2054

Load all COCO label types by default by @brimoor in https://github.com/voxel51/fiftyone/pull/1869

Removing cv2 colab fix by @brimoor in https://github.com/voxel51/fiftyone/pull/2058

Session group slice by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2044

Resolve Labelstudio task_map key error by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2074

CLIP tweaks by @brimoor in https://github.com/voxel51/fiftyone/pull/2072

Looker3D Settings Issue by @ritch in https://github.com/voxel51/fiftyone/pull/2075

Fix Looker3D escape sequence by @ritch in https://github.com/voxel51/fiftyone/pull/2076

fix pinned sample not clearing by @ritch in https://github.com/voxel51/fiftyone/pull/2081

Add Qdrant Tutorial by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2082

fix L3D hotkey targeting by @ritch in https://github.com/voxel51/fiftyone/pull/2083

App groups fixes by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2079

Don't regenerate IDs when copying Group instances by @brimoor in https://github.com/voxel51/fiftyone/pull/2086

Fix CVAT task id bug and add task download progress bar by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2087

Update Qdrant tutorial by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2089

Tagging simplification and server tests by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2093

Adding support for grouped datasets by @brimoor in https://github.com/voxel51/fiftyone/pull/1765

Use UUIDs in dataset collection names by @brimoor in https://github.com/voxel51/fiftyone/pull/2097

New Contributors

@idow09 made their first contribution in https://github.com/voxel51/fiftyone/pull/1909

@imanjra made their first contribution in https://github.com/voxel51/fiftyone/pull/1979

@geoffrp made their first contribution in https://github.com/voxel51/fiftyone/pull/1973

@GeorgePearse made their first contribution in https://github.com/voxel51/fiftyone/pull/2068

Full Changelog: https://github.com/voxel51/fiftyone/compare/v0.16.5...v0.17.0
Source code(tar.gz)
Source code(zip)
desktop-v0.23.0(Sep 19, 2022)

Source code(tar.gz)
Source code(zip)
v0.16.6(Aug 25, 2022)
What's Changed

Releases v0.16.3 and v0.16.4 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1896

Release v0.16.5 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1907

Fix custom_parser implementation in recipe by @idow09 in https://github.com/voxel51/fiftyone/pull/1909

Adding support for serializing Aggregations by @brimoor in https://github.com/voxel51/fiftyone/pull/1911

Adding support for customizing the output location of to_frames() by @neuralsyn in https://github.com/voxel51/fiftyone/pull/1798

Fix bug when loading group ids in CVAT video tasks by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1917

Handle sample tags with "." in App by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1924

[BUG] Resolve bug when uploading to projects in CVAT by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1926

Fix result alignment in App by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1930

Fix refresh after in App view change by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1931

Fix App mask targets by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1943

Fix App masks by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1949

Adding quantiles aggregation by @brimoor in https://github.com/voxel51/fiftyone/pull/1937

[WIP] Adding support for serializing and deserializing dynamic non-JSON fields by @brimoor in https://github.com/voxel51/fiftyone/pull/1938

Fix session views by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1980

update tabulate to 0.8.10 for source install by @imanjra in https://github.com/voxel51/fiftyone/pull/1979

CVAT Annotate attribute documentation update by @geoffrp in https://github.com/voxel51/fiftyone/pull/1973

#1951 and #1952 by @brimoor in https://github.com/voxel51/fiftyone/pull/1953

Fixing #1966 by @brimoor in https://github.com/voxel51/fiftyone/pull/1967

Adding weighted_sample() and balanced_sample() utils by @brimoor in https://github.com/voxel51/fiftyone/pull/1925

Passing attributes through during label coercions by @brimoor in https://github.com/voxel51/fiftyone/pull/1993

Adding plotly v5 support! by @brimoor in https://github.com/voxel51/fiftyone/pull/1981

CVAT optimizations by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1944

Extending stats() method to sample collections by @brimoor in https://github.com/voxel51/fiftyone/pull/1940

Adding new_ids=True option to Dataset.add_collection() by @brimoor in https://github.com/voxel51/fiftyone/pull/1927

Bug fixes by @brimoor in https://github.com/voxel51/fiftyone/pull/1922

Label studio integration by @Rusteam in https://github.com/voxel51/fiftyone/pull/1848

Adding support for writing transformed images/videos to new location/field by @brimoor in https://github.com/voxel51/fiftyone/pull/2007

Label studio updates by @ehofesmann in https://github.com/voxel51/fiftyone/pull/2006

Save context tweaks by @brimoor in https://github.com/voxel51/fiftyone/pull/2012

Adding ipywidgets<8 requirement by @brimoor in https://github.com/voxel51/fiftyone/pull/2011

Package-wide logging config by @brimoor in https://github.com/voxel51/fiftyone/pull/2009

Adding a dataset save context by @j053y in https://github.com/voxel51/fiftyone/pull/1727

Fix Issue #1903 path variable by @victor1cea in https://github.com/voxel51/fiftyone/pull/2016

Adding client compatibility versions by @brimoor in https://github.com/voxel51/fiftyone/pull/2017

Fix documentation builds by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/2023

New Contributors

@idow09 made their first contribution in https://github.com/voxel51/fiftyone/pull/1909

@imanjra made their first contribution in https://github.com/voxel51/fiftyone/pull/1979

@geoffrp made their first contribution in https://github.com/voxel51/fiftyone/pull/1973

Full Changelog: https://github.com/voxel51/fiftyone/compare/v0.16.5...v0.16.6
Source code(tar.gz)
Source code(zip)
desktop-v0.22.2(Aug 25, 2022)

Source code(tar.gz)
Source code(zip)
v0.16.5(Jun 24, 2022)

Full Changelog: https://github.com/voxel51/fiftyone/compare/v0.16.4...v0.16.5
Source code(tar.gz)
Source code(zip)
desktop-v0.22.1(Jun 24, 2022)

Source code(tar.gz)
Source code(zip)
v0.16.4(Jun 21, 2022)
What's Changed

Fix App frame fields by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1899

Full Changelog: https://github.com/voxel51/fiftyone/compare/v0.16.3...v0.16.4
Source code(tar.gz)
Source code(zip)
v0.16.3(Jun 20, 2022)
What's Changed

Docs tweaks by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1797

Release v0.16.1 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1796

adding filename exception logging for failed xml parsing by @neuralsyn in https://github.com/voxel51/fiftyone/pull/1793

bump matplotlib to latest by @ritch in https://github.com/voxel51/fiftyone/pull/1774

Fix App page views by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1805

change esc ordering for videos by @ritch in https://github.com/voxel51/fiftyone/pull/1810

OpenLABEL importer updates by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1812

FFmpeg App Error by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1801

Bump httpx from 0.7.7 to 0.23.0 in /requirements by @dependabot in https://github.com/voxel51/fiftyone/pull/1813

Add keyboard shortcut to temporarily hide all labels in the App by @ritch in https://github.com/voxel51/fiftyone/pull/1779

Release v0.16.2 by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1808

Fixing DB field bug by @brimoor in https://github.com/voxel51/fiftyone/pull/1824

App v0.16.0 bugs by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1828

add concurrent app+backend run script by @ritch in https://github.com/voxel51/fiftyone/pull/1800

Add utility to convert classifications to detections by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1842

Update how CVAT task and project pages are requested by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1839

Fix bug when using zoo models with newest version of Torchvision by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1838

Always use fork for multiprocessing on macOS by @brimoor in https://github.com/voxel51/fiftyone/pull/1844

Update docs to match new quickstart attribute format by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1857

Let shard enumeration start from 0 by @laserK3000 in https://github.com/voxel51/fiftyone/pull/1859

Stop passing classes and default_classes to export and evaluation methods by @brimoor in https://github.com/voxel51/fiftyone/pull/1858

Fix JSON view nested values by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1880

Fix selection and expansion for bad media files by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1882

Serialize views as BSON by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1879

updates FIFTYONE_DEFAULT_APP_ADDRESS documentation by @findtopher in https://github.com/voxel51/fiftyone/pull/1891

Adds the ability to upload and download group ids from CVAT by @ehofesmann in https://github.com/voxel51/fiftyone/pull/1876

Remove thumbnail frame classifications by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1877

eliminate non-XML or non-TXT files from CVAT, KITTI, CVATVideo by @victor1cea in https://github.com/voxel51/fiftyone/pull/1884

Bringing back the current section highlight! by @brimoor in https://github.com/voxel51/fiftyone/pull/1861

Adding support for label field dicts when importing labeled datasets by @brimoor in https://github.com/voxel51/fiftyone/pull/1864

Adding dataset tags by @brimoor in https://github.com/voxel51/fiftyone/pull/1845

Big Picture script by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1892

Maintain active dataset fields by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1878

Fix expanded view filtered tagging by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1834

Nullable GraphQL API by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1829

App issues by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1875

App distributions fixes by @benjaminpkane in https://github.com/voxel51/fiftyone/pull/1817

New Contributors

@ritch made their first contribution in https://github.com/voxel51/fiftyone/pull/1774

@laserK3000 made their first contribution in https://github.com/voxel51/fiftyone/pull/1859

@victor1cea made their first contribution in https://github.com/voxel51/fiftyone/pull/1884

Full Changelog: https://github.com/voxel51/fiftyone/compare/v0.16.2...v0.16.3
Source code(tar.gz)
Source code(zip)
desktop-v0.22.0(Jun 20, 2022)

Source code(tar.gz)
Source code(zip)
v0.16.2(Jun 2, 2022)

FiftyOne v0.16.2

Released June 2, 2022

Release notes
Source code(tar.gz)
Source code(zip)
desktop-v0.21.2(Jun 2, 2022)

Source code(tar.gz)
Source code(zip)
v0.16.1(May 26, 2022)

FiftyOne v0.16.1

Released May 26, 2022

Release notes
Source code(tar.gz)
Source code(zip)
desktop-v0.21.1(May 26, 2022)

Source code(tar.gz)
Source code(zip)
v0.16.0(May 24, 2022)

FiftyOne v0.16.0

Released May 24, 2022

Release notes
Source code(tar.gz)
Source code(zip)
desktop-v0.21.0(May 24, 2022)

Source code(tar.gz)
Source code(zip)
v0.15.1(Apr 26, 2022)

FiftyOne v0.15.1

Released April 26, 2022

Release notes
Source code(tar.gz)
Source code(zip)
desktop-v0.20.1(Apr 26, 2022)

Source code(tar.gz)
Source code(zip)
desktop-v0.20.0(Apr 26, 2022)

Source code(tar.gz)
Source code(zip)
v0.15.0.2(Apr 24, 2022)

Source code(tar.gz)
Source code(zip)
desktop-v0.19.5(Apr 11, 2022)

Source code(tar.gz)
Source code(zip)
v0.15.0.1(Mar 24, 2022)

Source code(tar.gz)
Source code(zip)
desktop-v0.19.4(Mar 24, 2022)

Source code(tar.gz)
Source code(zip)
v0.15.0(Mar 23, 2022)

FiftyOne v0.15.0

Released March 23, 2022

Release notes
Source code(tar.gz)
Source code(zip)

The open-source tool for building high-quality datasets and computer vision models

Related tags

Overview

Installation

Quickstart

Documentation

Examples

Contributing to FiftyOne

Installing from source

Prerequisites

Installation

Customizing your ETA installation

Developer installation

Upgrading your source installation

Generating documentation

Uninstallation

Citation

Comments

What changes are proposed in this pull request?

How is this patch tested? If it is not, please explain why.

Release Notes

Is this a user-facing change that should be mentioned in the release notes?

What areas of FiftyOne does this PR affect?

Summary

Issues

Simple usage

Image example

Video example

Timezone example

Dataset view example

App filtering example

System information

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Describe the problem

What areas of FiftyOne does this bug affect?

Willingness to contribute

Instructions

Proposal Summary

Motivation

What areas of FiftyOne does this feature affect?

Details

Willingness to contribute

Release Notes

Is this a user-facing change that should be mentioned in the release notes?

What areas of FiftyOne does this PR affect?

What areas of FiftyOne does this PR affect?

Change log

Example usage

Releases(v0.18.0)

v0.18.0(Nov 10, 2022)

What's Changed

New Contributors

desktop-v0.24.0(Nov 10, 2022)

db-v0.4.0(Nov 8, 2022)

v0.17.2(Sep 21, 2022)

What's Changed

desktop-v0.23.2(Sep 21, 2022)

v0.17.1(Sep 20, 2022)

What's Changed

desktop-v0.23.1(Sep 20, 2022)

v0.17.0(Sep 19, 2022)

What's Changed

New Contributors

desktop-v0.23.0(Sep 19, 2022)

v0.16.6(Aug 25, 2022)

What's Changed

New Contributors

desktop-v0.22.2(Aug 25, 2022)

v0.16.5(Jun 24, 2022)

desktop-v0.22.1(Jun 24, 2022)

v0.16.4(Jun 21, 2022)

What's Changed

v0.16.3(Jun 20, 2022)

What's Changed

New Contributors

desktop-v0.22.0(Jun 20, 2022)

v0.16.2(Jun 2, 2022)

FiftyOne v0.16.2

desktop-v0.21.2(Jun 2, 2022)

v0.16.1(May 26, 2022)