This repo contains research materials released by members of the Google Brain team in Tokyo.

Google

Last update: Jan 2, 2023

Related tags

Deep Learning brain-tokyo-workshop

Overview

Brain Tokyo Workshop 🧠 🗼

This repo contains research materials released by members of the Google Brain team in Tokyo.

Past Projects

Weight Agnostic Neural Networks

Code Release

Link to Article (pdf version)

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

Code Release

Link to Article (pdf version)

Neuroevolution of Self-Interpretable Agents

Code Release (Code for CarRacing Variants)

Extensions to CarRacing-v0 environment released to facilitate future research.

Link to Article (pdf version)

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Code Release

Disclaimer

This is not an official Google product.

Comments

Security Policy violation Binary Artifacts
This issue was automatically created by Allstar.

Security Policy Violation Project is out of compliance with Binary Artifacts policy: binaries present in source code

Rule Description Binary Artifacts are an increased security risk in your repository. Binary artifacts cannot be reviewed, allowing the introduction of possibly obsolete or maliciously subverted executables. For more information see the Security Scorecards Documentation for Binary Artifacts.

Remediation Steps To remediate, remove the generated executable artifacts from the repository.

First 10 Artifacts Found

WANNRelease/prettyNEAT/domain/pycache/init.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/bipedal_walker.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/cartpole_swingup.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/config.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/make_env.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/picbreed.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/picbreed_gym.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/set_domain.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/task.cpython-36.pyc

WANNRelease/prettyNEAT/domain/pycache/task_cppn.cpython-36.pyc

Run a Scorecards scan to see full list.

Additional Information This policy is drawn from Security Scorecards, which is a tool that scores a project's adherence to security best practices. You may wish to run a Scorecards scan directly on this repository for more details.

Allstar has been installed on all Google managed GitHub orgs. Policies are gradually being rolled out and enforced by the GOSST and OSPO teams. Learn more at http://go/allstar

This issue will auto resolve when the policy is in compliance.

Issue created by Allstar. See https://github.com/ossf/allstar/ for more information. For questions specific to the repository, please contact the owner or maintainer.
allstar
opened by allstar-app[bot] 9
AttentionAgent: mysterious 2*top_k, maybe a mistake?

Is this *2 intentional? If so, what's the reason? https://github.com/google/brain-tokyo-workshop/blob/master/AttentionAgent/solutions/torch_solutions.py#L336

Amazing code, I'm learning a lot :)

opened by maraoz 6
What is the reason for the restriction on introducing new edges (source node must be in same or lower layer)?

During topological mutation (of WANNs), edges are only added between two nodes if they are in the same layer or if the layer of the source node is in a lower layer than the destination node. In the comments of the respective functions it is stated that this is implemented this way to prevent recurrent connections.

If I am not mistaken, a non-recurrent edge should be possible as long as there is no directed path from the destination node to the source node even if the destination node is in a lower layer. This, of course, would require at least one of the nodes to switch their respective layer (which is not an issue, since the layers a recomputed during expression / translation to the network anyway).

Therefore my questions: Why did you choose to exclude the possibility to introduce such edges? Did you just implement it this way to reduce complexity (as this would require checking for the existence of such a path and finding an alternative in case such a path exists) or is there another reason?

Theoretically, the search space stays the same, since the resulting network could be evolved from a different starting point (without requiring the introduction of these edges), but the probability to arrive at such a network might be significantly lower.

Are such networks less desirable since a change of the layer structure implies a significant change of functionality (which might be more then one is aiming for during a single mutation)?

opened by plonerma 5
AttentionNeuron - Permutation invariance

Hey there,

First of all great job on the AttentionNeuron paper and code:)

I have a question related to this part of your code

https://github.com/google/brain-tokyo-workshop/blob/301a6ea6cadc61a63b06c881a07f54f6cd1f2273/AttentionNeuron/solutions/torch_modules.py#L109-L113

It seems like as long as self.hx is None (which is only at the beginning of the episode) the network will be permutation invariant. However, if self.hx is not None we have already accumulated some per feature information from previous steps and the network is not going to be permutation invariant anymore (w.r.t. the observation vector). Is that correct?

Thank you very much in advance:)

opened by jankrepl 4
[WANN] Fix running prettyNeatWann experiments

The default alg_act for prettyNeatWann experiments was "5" (originally from NEAT code), but this resulted in list of possible activations only to be "5"s, meaning the activation was not mutated. Later in training this also crashed the code as it tried to pick random activation from an empty list.

A small change, but I hope this saves somebody from the headache. Looks like "WANN" directory contains more mature code.

Pinging @agaier in case :).

opened by Miffyli 4
Add XOR environment

Added XOR as a toy example for first contact with WANNs. As described in NEAT (2002), XOR is an interesting verification test for evolving networks, because even though the task is simple it requires the system to evolve some hidden layers.

opened by BSAraujo 3

Google Colab GPU Error

When running es_clip in the accompanying google colab instance with more than 0 GPU's, I get the following error:

Traceback (most recent call last):
  File "/usr/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap
    self.run()
  File "/usr/lib/python3.7/multiprocessing/process.py", line 99, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python3.7/multiprocessing/pool.py", line 105, in worker
    initializer(*initargs)
  File "/content/brain-tokyo-workshop/es-clip/es_clip.py", line 97, in init_worker
    model, preprocess = clip.load('ViT-B/32', device, jit=True)  # change jit=True
  File "/usr/local/lib/python3.7/dist-packages/clip/clip.py", line 137, in load
    model = build_model(state_dict or model.state_dict()).to(device)
  File "/usr/local/lib/python3.7/dist-packages/clip/model.py", line 396, in build_model
    vit = "visual.proj" in state_dict
  File "/usr/local/lib/python3.7/dist-packages/torch/jit/_script.py", line 816, in __contains__
    return self.forward_magic_method("__contains__", key)
  File "/usr/local/lib/python3.7/dist-packages/torch/jit/_script.py", line 803, in forward_magic_method
    raise NotImplementedError()

Has anyone figured out how to solve this?

opened by rohaldb 2

Version of MNIST used to produce the results presented in the paper

Hello,

the implementation "WANN" only contains a downscaled version of the MNIST task (16x16=256 pixels), while the other two ("prettyNEAT" & "prettyNeatWann") do contain the full image task (MNIST 784 / 28x28) as well as the down-scaled version. The illustrations in the paper (Figure 7; in the paper) and on the supplementary website suggest they were produced on the MNIST 256 task (16x16 pixels). So, I'm curious whether the presented results (Figure 6, left; in the paper) also refer to the down-scaled version or whether they were in fact produced on the full version.

Thanks a lot for sharing your work!

All the best, Max

opened by plonerma 2

AttentionAgent: can't run pretrained CarRacing examples because of doom problems?

I installed dependencies like the README says, first running

pip3 install -r requirements.txt

then changing gym[box2d]==0.15.3 to gym==0.9.4 and re-running pip3 install -r requirements.txt, but when I run pip3 install -r requirements.txt, I get this error:

Traceback (most recent call last):
  File "test_solution.py", line 63, in <module>
    gin.parse_config_file(os.path.join(args.log_dir, 'config.gin'))
  File "/Users/manu/anaconda3/envs/attention/lib/python3.6/site-packages/gin/config.py", line 1436, in parse_config_file
    parse_config(f, skip_unknown=skip_unknown)
  File "/Users/manu/anaconda3/envs/attention/lib/python3.6/site-packages/gin/config.py", line 1373, in parse_config
    __import__(statement.module)
  File "/Users/manu/anaconda3/envs/attention/lib/python3.6/contextlib.py", line 99, in __exit__
    self.gen.throw(type, value, traceback)
  File "/Users/manu/anaconda3/envs/attention/lib/python3.6/site-packages/gin/utils.py", line 68, in try_with_location
    augment_exception_message_and_reraise(exception, _format_location(location))
  File "/Users/manu/anaconda3/envs/attention/lib/python3.6/site-packages/gin/utils.py", line 49, in augment_exception_message_and_reraise
    six.raise_from(proxy.with_traceback(exception.__traceback__), None)
  File "<string>", line 3, in raise_from
  File "/Users/manu/anaconda3/envs/attention/lib/python3.6/site-packages/gin/utils.py", line 66, in try_with_location
    yield
  File "/Users/manu/anaconda3/envs/attention/lib/python3.6/site-packages/gin/config.py", line 1373, in parse_config
    __import__(statement.module)
  File "/Users/manu/git/brain-tokyo-workshop/AttentionAgent/tasks/gym_task.py", line 10, in <module>
    from takecover_variants.doom_take_cover import DoomTakeCoverEnv
  File "/Users/manu/git/brain-tokyo-workshop/AttentionAgent/takecover_variants/doom_take_cover.py", line 2, in <module>
    from .doom_env import DoomEnv
  File "/Users/manu/git/brain-tokyo-workshop/AttentionAgent/takecover_variants/doom_env.py", line 18, in <module>
    "with 'pip install doom_py.)'".format(e))
gym.error.DependencyNotInstalled: {}. (HINT: you can install Doom dependencies with 'pip install doom_py.)'
  In file "pretrained/CarRacing/config.gin", line 4
    import tasks.gym_task

which seems Doom related. Is there any way I can run the CarRacing example without installing doom_py? (I've tried but I couldn't get to installing it). I also don't have docker :)

opened by maraoz 2

Question regarding the innovation record

Hey, I was wondering whether you actually used the data written to the innovation record at some point. In the current implementation it looks like you are just using it as a counter (and in a doc-string it is noted, that it might be used for checking whether an edge with the same node pair (src, dest) already exists. For getting a new node/edge id count from itertools could be used. For checking whether the node pair exists, a native python set might be more efficient. Since the innovation record also stores whether a new node was generated and in which generation the innovation first occurred - it seems like you were planning to use that information somehow, but I can't reference in the code itself. Did you use the information during debugging and analysis of executed experiments? If so, how did you utilize it?

opened by plonerma 2
Change listXor call to always use two lists

In listXor you use sum of two lists for union, but if p['ann_actRange'] is a numpy_array (that happens when alg_act != 0) the sum will sum alg_act to all values of the other list, instead of doing a list union, generating weird behavior

opened by joaogui1 2
Bump certifi from 2019.11.28 to 2022.12.7 in /WANNRelease/prettyNeatWann
Bumps certifi from 2019.11.28 to 2022.12.7.

Commits

9e9e840 2022.12.07

b81bdb2 2022.09.24

939a28f 2022.09.14

aca828a 2022.06.15.2

de0eae1 Only use importlib.resources's new files() / Traversable API on Python ≥3.11 ...

b8eb5e9 2022.06.15.1

47fb7ab Fix deprecation warning on Python 3.11 (#199)

b0b48e0 fixes #198 -- update link in license

9d514b4 2022.06.15

4151e88 Add py.typed to MANIFEST.in to package in sdist (#196)

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0
Bump pillow from 8.3.2 to 9.3.0 in /es-clip
Bumps pillow from 8.3.2 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

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0
Bump pillow from 8.3.2 to 9.3.0 in /AttentionAgent
Bumps pillow from 8.3.2 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

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0
Bump pillow from 7.0.0 to 9.3.0 in /WANNRelease/prettyNeatWann
Bumps pillow from 7.0.0 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

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0
Bump py from 1.8.1 to 1.10.0 in /WANNRelease/prettyNeatWann
Bumps py from 1.8.1 to 1.10.0.

Changelog

Sourced from py's changelog.

1.10.0 (2020-12-12)

Fix a regular expression DoS vulnerability in the py.path.svnwc SVN blame functionality (CVE-2020-29651)

Update vendored apipkg: 1.4 => 1.5

Update vendored iniconfig: 1.0.0 => 1.1.1

1.9.0 (2020-06-24)

Add type annotation stubs for the following modules:

py.error

py.iniconfig

py.path (not including SVN paths)

py.io

py.xml

There are no plans to type other modules at this time.

The type annotations are provided in external .pyi files, not inline in the code, and may therefore contain small errors or omissions. If you use py in conjunction with a type checker, and encounter any type errors you believe should be accepted, please report it in an issue.

1.8.2 (2020-06-15)

On Windows, py.path.locals which differ only in case now have the same Python hash value. Previously, such paths were considered equal but had different hashes, which is not allowed and breaks the assumptions made by dicts, sets and other users of hashes.

Commits

e5ff378 Update CHANGELOG for 1.10.0

94cf44f Update vendored libs

5e8ded5 testing: comment out an assert which fails on Python 3.9 for now

afdffcc Rename HOWTORELEASE.rst to RELEASING.rst

2de53a6 Merge pull request #266 from nicoddemus/gh-actions

fa1b32e Merge pull request #264 from hugovk/patch-2

887d6b8 Skip test_samefile_symlink on pypy3 on Windows

e94e670 Fix test_comments() in test_source

fef9a32 Adapt test

4a694b0 Add GitHub Actions badge to README

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0
Bump lief from 0.9.0 to 0.12.2 in /WANNRelease/prettyNeatWann
Bumps lief from 0.9.0 to 0.12.2.

Release notes

Sourced from lief's releases.

0.12.2

No release notes provided.

0.12.1

See: https://lief-project.github.io/doc/stable/changelog.html#april-08-2022

0.12.0

Changelog is here: https://lief-project.github.io/doc/latest/changelog.html#march-25-2022

0.11.5

No release notes provided.

0.11.4

No release notes provided.

0.11.3

No release notes provided.

0.11.2

See: https://lief.quarkslab.com/doc/stable/changelog.html#february-22-2021

0.11.1

See: https://lief.quarkslab.com/blog/2021-02-22-lief-0-11-1/

0.11.0

See: https://lief.quarkslab.com/doc/stable/changelog.html#v0.11.0

0.10.1

No release notes provided.

0.10.0

No release notes provided.

Commits

2169578 Update date

d21af83 Fix missing copy_file (related to #770)

fad1db9 Bump version

27cada7 Resolve #770

c7b3ce3 Disable tests

cf439c1 Bump version

b3ec2c6 Fix memory issues

39c15ae Update changelog

b13b2d7 Fix #693

3fb587c Update changelog

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0

This repo contains research materials released by members of the Google Brain team in Tokyo.

Related tags

Overview

Brain Tokyo Workshop 🧠 🗼

Past Projects

Weight Agnostic Neural Networks

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

Neuroevolution of Self-Interpretable Agents

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Disclaimer

Comments

9.3.0

Changes

9.3.0 (2022-10-29)

9.3.0

Changes

9.3.0 (2022-10-29)

9.3.0

Changes

9.3.0 (2022-10-29)

1.10.0 (2020-12-12)

1.9.0 (2020-06-24)

1.8.2 (2020-06-15)

0.12.2

0.12.1

0.12.0

0.11.5

0.11.4

0.11.3

0.11.2

0.11.1

0.11.0

0.10.1

0.10.0

Owner

Google

Red Team tool for exfiltrating files from a target's Google Drive that you have access to, via Google's API.

HackBMU-5.0-Team-Ctrl-Alt-Elite - HackBMU 5.0 Team Ctrl Alt Elite

This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf).

PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

Unofficial PyTorch implementation of SimCLR by Google Brain

This repository contains all the code and materials distributed in the 2021 Q-Programming Summer of Qode.

[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition

NP DRAW paper released code

A Multi-modal Model Chinese Spell Checker Released on ACL2021.

Code of PVTv2 is released! PVTv2 largely improves PVTv1 and works better than Swin Transformer with ImageNet-1K pre-training.

Released code for Objects are Different: Flexible Monocular 3D Object Detection, CVPR21

[ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition

Fuzzification helps developers protect the released, binary-only software from attackers who are capable of applying state-of-the-art fuzzing techniques

This is the first released system towards complex meters` detection and recognition, which is implemented by computer vision techniques.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Competitive Programming Club, Clinify's Official repository for CP problems hosting by club members.

Using this codebase as a tool for my own research. Making some modifications to the original repo for my own purposes.

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.