Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.

Last update: Jan 4, 2023

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Overview

Foodi-ML dataset

This is the GitHub repository for the Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset. This dataset contains over 1.5M unique images and over 9.5M store names, product names, descriptions and collection sections gathered from the Glovo application. The data made available corresponds to food, drinks and groceries products from over 37 countries in Europe, the Middle East, Africa and Latin America. The dataset comprehends 33 languages, including 870k samples of languages of countries from Eastern Europe and West Asia such as Ukrainian and Kazakh, which have been so far underrepresented in publicly available visio-linguistic datasets. The dataset also includes widely spoken languages such as Spanish and English.

License

The FooDI-ML dataset is offered under the BY-NC-SA license.

1. Download the dataset

The FooDI-ML dataset is hosted in a S3 bucket in AWS. Therefore AWS CLI is needed to download it. Our dataset is composed of:

One DataFrame (glovo-foodi-ml-dataset) stored as a csv file containing all text information + image paths in S3. The size of this CSV file is 540 MB.
Set of images listed in the DataFrame. The disk space required to store all images is 316.1 GB.

1.1. Download AWS CLI

If you do not have AWS CLI already installed, please download the latest version of AWS CLI for your operating system.

1.2. Download FooDI-ML

Run the following command to download the DataFrame in ENTER_DESTINATION_PATH directory. We provide an example as if we were going to download the dataset in the directory /mnt/data/foodi-ml/.

aws s3 cp s3://glovo-products-dataset-d1c9720d/glovo-foodi-ml-dataset.csv ENTER_DESTINATION_PATH --no-sign-request

Example: aws s3 cp s3://glovo-products-dataset-d1c9720d/glovo-foodi-ml-dataset.csv /mnt/data/foodi-ml/ --no-sign-request
Run the following command to download the images in ENTER_DESTINATION_PATH/dataset directory (please note the appending of /dataset). This command will download the images in ENTER_DESTINATION_PATHdirectory.

aws s3 cp --recursive s3://glovo-products-dataset-d1c9720d/dataset ENTER_DESTINATION_PATH/dataset --no-sign-request --quiet

Example: aws s3 cp --recursive s3://glovo-products-dataset-d1c9720d/dataset /mnt/data/foodi-ml/dataset --no-sign-request --quiet
Run the script rename_images.py. This script modifies the DataFrame column to include the paths of the images in the location you specified with ENTER_DESTINATION_PATH/dataset.
```
pip install pandas
python scripts/rename_images.py --output-dir ENTER_DESTINATION_PATH
```

Getting started

Our dataset is managed by the DataFrame glovo-foodi-ml-dataset.csv. This dataset contains the following columns:

country_code: This column comprehends 37 unique country codes as explained in our paper. These codes are:

'ES', 'PL', 'CI', 'PT', 'MA', 'IT', 'AR', 'BG', 'KZ', 'BR', 'ME', 'TR', 'PE', 'SI', 'GE', 'EG', 'RS', 'RO', 'HR', 'UA', 'DO', 'KG', 'CR', 'UY', 'EC', 'HN', 'GH', 'KE', 'GT', 'CL', 'FR', 'BA', 'PA', 'UG', 'MD', 'NG', 'PR'
city_code: Name of the city where the store is located.
store_name: Name of the store selling that product. If store_name is equal to AS_XYZ, it represents an auxiliary store. This means that while the samples contained are for the most part valid, the store name can't be used in learning tasks
product_name: Name of the product. All products have product_name, so this column does not contain any NaN value.
collection_section: Name of the section of the product, used for organizing the store menu. Common values are "drinks", "our pizzas", "desserts". All products have collection_section associated to it, so this column does not have any NaN value in it.
product_description: A detailed description of the product, describing ingredients and components of it. Not all products of our data have description, so this column contains NaN values that must be removed by the researchers as a preprocessing step.
subset: Categorical variable indicating if the sample belongs to the Training, Validation or Test set. The respective values in the DataFrame are ["train", "val", "test"].
HIER: Boolean variable indicating if the store name can be used to retrieve product information (indicating if the store_name is not an auxiliary store (with code AS_XYZ)).
s3_path: Path of the image of the product in the disk location you chose.

Dataset Statistics

A notebook analyzing several dataset statistics is provided in notebooks/FooDI-ML Dataset Stats Analytics.ipynb.

Benchmark

To run the benchmark included in the original paper one must follow the procedure listed in the following link.

The hyperparameters of the model are included here link

Citation

This paper is under review. In the meanwhile you can cite it in arxiv: https://arxiv.org/abs/2110.02035

Comments

build(deps): bump pillow from 9.0.0 to 9.0.1 in /benchmarks/wit
Bumps pillow from 9.0.0 to 9.0.1.

Release notes

Sourced from pillow's releases.

9.0.1

https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html

Changes

In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk]

Restrict builtins within lambdas for ImageMath.eval. CVE-2022-22817 #6009 [radarhere]

Changelog

Sourced from pillow's changelog.

9.0.1 (2022-02-03)

In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [radarhere, hugovk]

Restrict builtins within lambdas for ImageMath.eval. CVE-2022-22817 #6009 [radarhere]

Commits

6deac9e 9.0.1 version bump

c04d812 Update CHANGES.rst [ci skip]

4fabec3 Added release notes for 9.0.1

02affaa Added delay after opening image with xdg-open

ca0b585 Updated formatting

427221e In show_file, use os.remove to remove temporary images

c930be0 Restrict builtins within lambdas for ImageMath.eval

75b69dd Dont need to pin for GHA

cd938a7 Autolink CWE numbers with sphinx-issues

2e9c461 Add CVE IDs

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dependencies size/XS
opened by dependabot[bot] 1
build(deps): bump numpy from 1.19.5 to 1.21.0 in /benchmarks/wit
Bumps numpy from 1.19.5 to 1.21.0.

Release notes

Sourced from numpy's releases.

v1.21.0

NumPy 1.21.0 Release Notes

The NumPy 1.21.0 release highlights are

continued SIMD work covering more functions and platforms,

initial work on the new dtype infrastructure and casting,

universal2 wheels for Python 3.8 and Python 3.9 on Mac,

improved documentation,

improved annotations,

new PCG64DXSM bitgenerator for random numbers.

In addition there are the usual large number of bug fixes and other improvements.

The Python versions supported for this release are 3.7-3.9. Official support for Python 3.10 will be added when it is released.

:warning: Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .

Optimization level -O3 results in many wrong warnings when running the tests.

On some hardware NumPy will hang in an infinite loop.

New functions

Add PCG64DXSM BitGenerator

Uses of the PCG64 BitGenerator in a massively-parallel context have been shown to have statistical weaknesses that were not apparent at the first release in numpy 1.17. Most users will never observe this weakness and are safe to continue to use PCG64. We have introduced a new PCG64DXSM BitGenerator that will eventually become the new default BitGenerator implementation used by default_rng in future releases. PCG64DXSM solves the statistical weakness while preserving the performance and the features of PCG64.

See upgrading-pcg64 for more details.

(gh-18906)

Expired deprecations

The shape argument numpy.unravel_index cannot be passed as dims keyword argument anymore. (Was deprecated in NumPy 1.16.)

... (truncated)

Commits

b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release

34aebc2 MAINT: Update 1.21.0-notes.rst

493b64b MAINT: Update 1.21.0-changelog.rst

07d7e72 MAINT: Remove accidentally created directory.

032fca5 Merge pull request #19280 from charris/backport-19277

7d25b81 BUG: Fix refcount leak in ResultType

fa5754e BUG: Add missing DECREF in new path

61127bb Merge pull request #19268 from charris/backport-19264

143d45f Merge pull request #19269 from charris/backport-19228

d80e473 BUG: Removed typing for == and != in dtypes

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dependencies size/XS
opened by dependabot[bot] 1
Wit t2i i2t

In this PR , I implement the WIT method based on using two separate image and text towers and bringing the embeddings close to each other in a shared space.
size/XXL

opened by asalvadorpalau 1
build(deps): bump pillow from 8.3.2 to 9.0.0 in /benchmarks/wit
Bumps pillow from 8.3.2 to 9.0.0.

Release notes

Sourced from pillow's releases.

9.0.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.0.0.html

Changes

Restrict builtins for ImageMath.eval() #5923 [@radarhere]

Ensure JpegImagePlugin stops at the end of a truncated file #5921 [@radarhere]

Fixed ImagePath.Path array handling #5920 [@radarhere]

Remove consecutive duplicate tiles that only differ by their offset #5919 [@radarhere]

Removed redundant part of condition #5915 [@radarhere]

Explicitly enable strip chopping for large uncompressed TIFFs #5517 [@kmilos]

Use the Windows method to get TCL functions on Cygwin #5807 [@DWesl]

Changed error type to allow for incremental WebP parsing #5404 [@radarhere]

Improved I;16 operations on big endian #5901 [@radarhere]

Ensure that BMP pixel data offset does not ignore palette #5899 [@radarhere]

Limit quantized palette to number of colors #5879 [@radarhere]

Use latin1 encoding to decode bytes #5870 [@radarhere]

Fixed palette index for zeroed color in FASTOCTREE quantize #5869 [@radarhere]

When saving RGBA to GIF, make use of first transparent palette entry #5859 [@radarhere]

Pass SAMPLEFORMAT to libtiff #5848 [@radarhere]

Added rounding when converting P and PA #5824 [@radarhere]

Improved putdata() documentation and data handling #5910 [@radarhere]

Exclude carriage return in PDF regex to help prevent ReDoS #5912 [@radarhere]

Image.NONE is only used for resampling and dithers #5908 [@radarhere]

Fixed freeing pointer in ImageDraw.Outline.transform #5909 [@radarhere]

Add Tidelift alignment action and badge #5763 [@aclark4life]

Replaced further direct invocations of setup.py #5906 [@radarhere]

Added ImageShow support for xdg-open #5897 [@m-shinder]

Fixed typo #5902 [@radarhere]

Switched from deprecated "setup.py install" to "pip install ." #5896 [@radarhere]

Support 16-bit grayscale ImageQt conversion #5856 [@cmbruns]

Fixed raising OSError in _safe_read when size is greater than SAFEBLOCK #5872 [@radarhere]

Convert subsequent GIF frames to RGB or RGBA #5857 [@radarhere]

WebP: Fix memory leak during decoding on failure #5798 [@ilai-deutel]

Do not prematurely return in ImageFile when saving to stdout #5665 [@infmagic2047]

Added support for top right and bottom right TGA orientations #5829 [@radarhere]

Corrected ICNS file length in header #5845 [@radarhere]

Block tile TIFF tags when saving #5839 [@radarhere]

Added line width argument to ImageDraw polygon #5694 [@radarhere]

Do not redeclare class each time when converting to NumPy #5844 [@radarhere]

Only prevent repeated polygon pixels when drawing with transparency #5835 [@radarhere]

Fix pushes_fd method signature #5833 [@hoodmane]

Add support for pickling TrueType fonts #5826 [@hugovk]

Only prefer command line tools SDK on macOS over default MacOSX SDK #5828 [@radarhere]

Fix compilation on 64-bit Termux #5793 [@landfillbaby]

Replace 'setup.py sdist' with '-m build --sdist' #5785 [@hugovk]

Use declarative package configuration #5784 [@hugovk]

Use title for display in ImageShow #5788 [@radarhere]

Fix for PyQt6 #5775 [@hugovk]

... (truncated)

Changelog

Sourced from pillow's changelog.

9.0.0 (2022-01-02)

Restrict builtins for ImageMath.eval(). CVE-2022-22817 #5923 [radarhere]

Ensure JpegImagePlugin stops at the end of a truncated file #5921 [radarhere]

Fixed ImagePath.Path array handling. CVE-2022-22815, CVE-2022-22816 #5920 [radarhere]

Remove consecutive duplicate tiles that only differ by their offset #5919 [radarhere]

Improved I;16 operations on big endian #5901 [radarhere]

Limit quantized palette to number of colors #5879 [radarhere]

Fixed palette index for zeroed color in FASTOCTREE quantize #5869 [radarhere]

When saving RGBA to GIF, make use of first transparent palette entry #5859 [radarhere]

Pass SAMPLEFORMAT to libtiff #5848 [radarhere]

Added rounding when converting P and PA #5824 [radarhere]

Improved putdata() documentation and data handling #5910 [radarhere]

Exclude carriage return in PDF regex to help prevent ReDoS #5912 [hugovk]

Fixed freeing pointer in ImageDraw.Outline.transform #5909 [radarhere]

Added ImageShow support for xdg-open #5897 [m-shinder, radarhere]

Support 16-bit grayscale ImageQt conversion #5856 [cmbruns, radarhere]

Convert subsequent GIF frames to RGB or RGBA #5857 [radarhere]

... (truncated)

Commits

82541b6 9.0.0 version bump

cae5ac4 Merge pull request #5924 from radarhere/cves

ed4cf78 CVEs TBD

d7f60d1 Merge pull request #5923 from radarhere/imagemath_eval

8531b01 Restrict builtins for ImageMath.eval

1efb1d9 Merge pull request #5922 from radarhere/releasenotes

f6c7871 Added release notes for #5919, #5920 and #5921

032d2dc Update CHANGES.rst [ci skip]

baae9ec Merge pull request #5921 from radarhere/jpeg_eoi

1059eb5 If appended EOI did not work, do not keep trying

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dependencies size/XS
opened by dependabot[bot] 0
build(deps): bump nltk from 3.4.5 to 3.6.5 in /benchmarks/adapt
Bumps nltk from 3.4.5 to 3.6.5.

Changelog

Sourced from nltk's changelog.

Version 3.6.5 2021-10-11

modernised nltk.org website

addressed LGTM.com issues

support ZWJ sequences emoji and skin tone modifer emoji in TweetTokenizer

METEOR evaluation now requires pre-tokenized input

Code linting and type hinting

implement get_refs function for DrtLambdaExpression

Enable automated CoreNLP, Senna, Prover9/Mace4, Megam, MaltParser CI tests

specify minimum regex version that supports regex.Pattern

avoid re.Pattern and regex.Pattern which fail for Python 3.6, 3.7

Thanks to the following contributors to 3.6.5 Tom Aarsen, Saibo Geng, Mohaned Mashaly, Dimitri Papadopoulos, Danny Sepler, Ahmet Yildirim, RnDevelover, yutanakamura

Version 3.6.4 2021-10-01

deprecate nltk.usage(obj) in favor of help(obj)

resolve ReDoS vulnerability in Corpus Reader

solidify performance tests

improve phone number recognition in tweet tokenizer

refactored CISTEM stemmer for German

identify NLTK Team as the author

replace travis badge with github actions badge

add SECURITY.md

Thanks to the following contributors to 3.6.4 Tom Aarsen, Mohaned Mashaly, Dimitri Papadopoulos Orfanos, purificant, Danny Sepler

Version 3.6.3 2021-09-19

Dropped support for Python 3.5

Run CI tests on Windows, too

Moved from Travis CI to GitHub Actions

Code and comment cleanups

Visualize WordNet relation graphs using Graphviz

Fixed large error in METEOR score

Apply isort, pyupgrade, black, added as pre-commit hooks

Prevent debug_decisions in Punkt from throwing IndexError

Resolved ZeroDivisionError in RIBES with dissimilar sentences

Initialize WordNet IC total counts with smoothing value

Fixed AttributeError for Arabic ARLSTem2 stemmer

Many fixes and improvements to lm language model package

Fix bug in nltk.metrics.aline, C_skip = -10

Improvements to TweetTokenizer

Optional show arg for FreqDist.plot, ConditionalFreqDist.plot

edit_distance now computes Damerau-Levenshtein edit-distance

Thanks to the following contributors to 3.6.3 Tom Aarsen, Abhijnan Bajpai, Michael Wayne Goodman, Michał Górny, Maarten ter Huurne,

... (truncated)

Commits

b422364 updates for 3.6.5

03e4b4e Modernised nltk.org website (#2845)

9f468d3 Merge pull request #2851 from DimitriPapadopoulos/lgtm_errors

8ce97b2 Add a unit test, fix typos

2538164 Enhancement: Add ZWJ sequences Emoji and Skin Tone Modifier Emoji support to ...

836b98e Accept pre-tokenized references & hypothesis for METEOR calculation (#2822)

82ceb20 refactor: perfom linting for punkt.py (#2830)

c05b0e7 use latest version of pip (#2846)

6d39c90 Implement get_refs function for DrtLambdaExpression (#2847)

f554129 LGTM.com error: Wrong number of arguments in a class instantiation

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dependencies size/XS
opened by dependabot[bot] 0
Bump pillow from 6.2.2 to 8.3.2 in /benchmarks/adapt
Bumps pillow from 6.2.2 to 8.3.2.

Release notes

Sourced from pillow's releases.

8.3.2

https://pillow.readthedocs.io/en/stable/releasenotes/8.3.2.html

Security

CVE-2021-23437 Raise ValueError if color specifier is too long [hugovk, radarhere]

Fix 6-byte OOB read in FliDecode [wiredfool]

Python 3.10 wheels

Add support for Python 3.10 #5569, #5570 [hugovk, radarhere]

Fixed regressions

Ensure TIFF RowsPerStrip is multiple of 8 for JPEG compression #5588 [kmilos, radarhere]

Updates for ImagePalette channel order #5599 [radarhere]

Hide FriBiDi shim symbols to avoid conflict with real FriBiDi library #5651 [nulano]

8.3.1

https://pillow.readthedocs.io/en/stable/releasenotes/8.3.1.html

Changes

Catch OSError when checking if fp is sys.stdout #5585 [@radarhere]

Handle removing orientation from alternate types of EXIF data #5584 [@radarhere]

Make Image.array take optional dtype argument #5572 [@t-vi]

8.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/8.3.0.html

Changes

Use snprintf instead of sprintf #5567 [@radarhere]

Limit TIFF strip size when saving with LibTIFF #5514 [@kmilos]

Allow ICNS save on all operating systems #4526 [@newpanjing]

De-zigzag JPEG's DQT when loading; deprecate convert_dict_qtables #4989 [@gofr]

Do not use background or transparency index for new color #5564 [@radarhere]

Simplified code #5315 [@radarhere]

Replaced xml.etree.ElementTree #5565 [@radarhere]

... (truncated)

Changelog

Sourced from pillow's changelog.

8.3.2 (2021-09-02)

CVE-2021-23437 Raise ValueError if color specifier is too long [hugovk, radarhere]

Fix 6-byte OOB read in FliDecode [wiredfool]

Add support for Python 3.10 #5569, #5570 [hugovk, radarhere]

Ensure TIFF RowsPerStrip is multiple of 8 for JPEG compression #5588 [kmilos, radarhere]

Updates for ImagePalette channel order #5599 [radarhere]

Hide FriBiDi shim symbols to avoid conflict with real FriBiDi library #5651 [nulano]

8.3.1 (2021-07-06)

Catch OSError when checking if fp is sys.stdout #5585 [radarhere]

Handle removing orientation from alternate types of EXIF data #5584 [radarhere]

Make Image.array take optional dtype argument #5572 [t-vi, radarhere]

8.3.0 (2021-07-01)

Use snprintf instead of sprintf. CVE-2021-34552 #5567 [radarhere]

Limit TIFF strip size when saving with LibTIFF #5514 [kmilos]

Allow ICNS save on all operating systems #4526 [baletu, radarhere, newpanjing, hugovk]

De-zigzag JPEG's DQT when loading; deprecate convert_dict_qtables #4989 [gofr, radarhere]

Replaced xml.etree.ElementTree #5565 [radarhere]

... (truncated)

Commits

8013f13 8.3.2 version bump

23c7ca8 Update CHANGES.rst

8450366 Update release notes

a0afe89 Update test case

9e08eb8 Raise ValueError if color specifier is too long

bd5cf7d FLI tests for Oss-fuzz crash.

94a0cf1 Fix 6-byte OOB read in FliDecode

cece64f Add 8.3.2 (2021-09-02) [CI skip]

e422386 Add release notes for Pillow 8.3.2

08dcbb8 Pillow 8.3.2 supports Python 3.10 [ci skip]

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dependencies size/XS
opened by dependabot[bot] 0
feat: Benchmark FooDI-ML
In this PR:

We add the code that we use to benchmark the dataset against the text to image retrieval task

We add instructions to reproduce our results on the sampled dataset

We add the code for training the benchmark over the whole dataset

size/XXL
opened by asalvadorpalau 0
feat: add analysis for cross-language samples

In this PR I add an analysis in which I count the number of samples belonging to partners that are known to have an international presence, and therefore feature cross language samples. This should be seen as a lower bound for the amount of samples in this tipology.
size/XXL

opened by asalvadorpalau 0
feat: add analytics sections in the foodi-ml Stat Analytics notebook
In this PR, I add to the analysis notebook the following sections

Section 5: a lower bound estimate of the number of differential samples - that is, samples that include the same type of food but different ingredients and descriptions.

Section 6: The distribution of languages present in each of the splits in our dataset (validation and test).

Section 7: A qualitative analysis of the text fields showing that when the product description is missing, information is still present in product name and collection section.

size/XXL
opened by asalvadorpalau 0
Fix two auxiliary stores, renamed collection
This PR is opened in order to:

Fix two auxiliary stores that were not categorised as auxiliary store. Thus, two new auxiliary stores are added AS_703, AS_704.

Rename collection_name to collection_section following the nomenclature of the paper.

Updated the notebook notebooks/FooDI-ML Dataset Stats Analytics.ipynb with the new changes.

Also both the dataframes listed below have been updated with the information listed above.

glovo-foodi-ml-dataset.csv

foodi-ml-dataset-language-analytics.csv

size/XL
opened by pppuigdevall 0
build(deps): bump pillow from 9.0.0 to 9.3.0 in /benchmarks/wit
Bumps pillow from 9.0.0 to 9.3.0.

Release notes

Sourced from pillow's releases.

9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

Initialize libtiff buffer when saving #6699 [@radarhere]

Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@wiredfool]

Inline fname2char to fix memory leak #6329 [@nulano]

Fix memory leaks related to text features #6330 [@nulano]

Use double quotes for version check on old CPython on Windows #6695 [@hugovk]

GHA: replace deprecated set-output command with GITHUB_OUTPUT file #6697 [@nulano]

Remove backup implementation of Round for Windows platforms #6693 [@cgohlke]

Upload fribidi.dll to GitHub Actions #6532 [@nulano]

Fixed set_variation_by_name offset #6445 [@radarhere]

Windows build improvements #6562 [@nulano]

Fix malloc in _imagingft.c:font_setvaraxes #6690 [@cgohlke]

Only use ASCII characters in C source file #6691 [@cgohlke]

Release Python GIL when converting images using matrix operations #6418 [@hmaarrfk]

Added ExifTags enums #6630 [@radarhere]

Do not modify previous frame when calculating delta in PNG #6683 [@radarhere]

Added support for reading BMP images with RLE4 compression #6674 [@npjg]

Decode JPEG compressed BLP1 data in original mode #6678 [@radarhere]

pylint warnings #6659 [@marksmayo]

Added GPS TIFF tag info #6661 [@radarhere]

Added conversion between RGB/RGBA/RGBX and LAB #6647 [@radarhere]

Do not attempt normalization if mode is already normal #6644 [@radarhere]

Fixed seeking to an L frame in a GIF #6576 [@radarhere]

Consider all frames when selecting mode for PNG save_all #6610 [@radarhere]

Don't reassign crc on ChunkStream close #6627 [@radarhere]

Raise a warning if NumPy failed to raise an error during conversion #6594 [@radarhere]

Only read a maximum of 100 bytes at a time in IMT header #6623 [@radarhere]

Show all frames in ImageShow #6611 [@radarhere]

Allow FLI palette chunk to not be first #6626 [@radarhere]

If first GIF frame has transparency for RGB_ALWAYS loading strategy, use RGBA mode #6592 [@radarhere]

Round box position to integer when pasting embedded color #6517 [@radarhere]

Removed EXIF prefix when saving WebP #6582 [@radarhere]

Pad IM palette to 768 bytes when saving #6579 [@radarhere]

Added DDS BC6H reading #6449 [@ShadelessFox]

Added support for opening WhiteIsZero 16-bit integer TIFF images #6642 [@JayWiz]

Raise an error when allocating translucent color to RGB palette #6654 [@jsbueno]

Moved mode check outside of loops #6650 [@radarhere]

Added reading of TIFF child images #6569 [@radarhere]

Improved ImageOps palette handling #6596 [@PososikTeam]

Defer parsing of palette into colors #6567 [@radarhere]

Apply transparency to P images in ImageTk.PhotoImage #6559 [@radarhere]

Use rounding in ImageOps contain() and pad() #6522 [@bibinhashley]

Fixed GIF remapping to palette with duplicate entries #6548 [@radarhere]

Allow remap_palette() to return an image with less than 256 palette entries #6543 [@radarhere]

Corrected BMP and TGA palette size when saving #6500 [@radarhere]

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

Initialize libtiff buffer when saving #6699 [radarhere]

Inline fname2char to fix memory leak #6329 [nulano]

Fix memory leaks related to text features #6330 [nulano]

Use double quotes for version check on old CPython on Windows #6695 [hugovk]

Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

Fixed set_variation_by_name offset #6445 [radarhere]

Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

Added ExifTags enums #6630 [radarhere]

Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

Added GPS TIFF tag info #6661 [radarhere]

Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

Commits

d594f4c Update CHANGES.rst [ci skip]

909dc64 9.3.0 version bump

1a51ce7 Merge pull request #6699 from hugovk/security-libtiff_buffer

2444cdd Merge pull request #6700 from hugovk/security-samples_per_pixel-sec

744f455 Added release notes

0846bfa Add to release notes

799a6a0 Fix linting

00b25fd Hide UserWarning in logs

05b175e Tighter test case

13f2c5a Prevent DOS with large SAMPLESPERPIXEL in Tiff IFD

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dependencies
opened by dependabot[bot] 0
build(deps): bump numpy from 1.19.5 to 1.22.0 in /benchmarks/wit
Bumps numpy from 1.19.5 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.

A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.

NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.

New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.

A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release

fd66547 REL: Prepare for the NumPy 1.22.0 release.

125304b wip

c283859 Merge pull request #20682 from charris/backport-20416

5399c03 Merge pull request #20681 from charris/backport-20954

f9c45f8 Merge pull request #20680 from charris/backport-20663

794b36f Update armccompiler.py

d93b14e Update test_public_api.py

7662c07 Update init.py

311ab52 Update armccompiler.py

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dependencies size/XS
opened by dependabot[bot] 0
[Snyk] Security upgrade pillow from 8.3.2 to 9.0.0
Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

Changes to the following files to upgrade the vulnerable dependencies to a fixed version:

benchmarks/wit/requirements.txt

Vulnerabilities that will be fixed

By pinning:

Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- | 776/1000
Why? Recently disclosed, Has a fix available, CVSS 9.8 | Arbitrary Code Execution
SNYK-PYTHON-PILLOW-2331901 | pillow:
8.3.2 -> 9.0.0
| No | No Known Exploit | 611/1000
Why? Recently disclosed, Has a fix available, CVSS 6.5 | Buffer Over-read
SNYK-PYTHON-PILLOW-2331905 | pillow:
8.3.2 -> 9.0.0
| No | No Known Exploit | 551/1000
Why? Recently disclosed, Has a fix available, CVSS 5.3 | Improper Initialization
SNYK-PYTHON-PILLOW-2331907 | pillow:
8.3.2 -> 9.0.0
| No | No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information: 🧐 View latest project report

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic
size/XS
opened by snyk-bot 0
[Snyk] Security upgrade pillow from 8.3.2 to 9.0.0
Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

Changes to the following files to upgrade the vulnerable dependencies to a fixed version:

benchmarks/wit/requirements.txt

Vulnerabilities that will be fixed

By pinning:

Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- | 581/1000
Why? Recently disclosed, Has a fix available, CVSS 5.9 | Denial of Service (DoS)
SNYK-PYTHON-PILLOW-2329135 | pillow:
8.3.2 -> 9.0.0
| No | No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information: 🧐 View latest project report

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size/XS
opened by snyk-bot 0
[Snyk] Security upgrade numpy from 1.19.5 to 1.22.0
Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

Changes to the following files to upgrade the vulnerable dependencies to a fixed version:

benchmarks/wit/requirements.txt

Vulnerabilities that will be fixed

By pinning:

Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- | 471/1000
Why? Recently disclosed, Has a fix available, CVSS 3.7 | Buffer Overflow
SNYK-PYTHON-NUMPY-2321966 | numpy:
1.19.5 -> 1.22.0
| No | No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information: 🧐 View latest project report

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic
size/XS
opened by snyk-bot 0
[Snyk] Security upgrade numpy from 1.19.5 to 1.22.0rc1
Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

Changes to the following files to upgrade the vulnerable dependencies to a fixed version:

benchmarks/wit/requirements.txt

Vulnerabilities that will be fixed

By pinning:

Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- | 578/1000
Why? Proof of Concept exploit, Recently disclosed, Has a fix available, CVSS 3.7 | Buffer Overflow
SNYK-PYTHON-NUMPY-2321969 | numpy:
1.19.5 -> 1.22.0rc1
| No | Proof of Concept | 578/1000
Why? Proof of Concept exploit, Recently disclosed, Has a fix available, CVSS 3.7 | Denial of Service (DoS)
SNYK-PYTHON-NUMPY-2321970 | numpy:
1.19.5 -> 1.22.0rc1
| No | Proof of Concept

(*) Note that the real score may have changed since the PR was raised.

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information: 🧐 View latest project report

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size/XS
opened by snyk-bot 0