A modular PyTorch library for optical flow estimation using neural networks

Overview
Comments
  • Different tensors size KITTI train

    Different tensors size KITTI train

    Hi,
    i was exploring the library when i tried to train on KITTI dataset with default configuration for RAFT and got an error that you can find in the log below about mismatching tensors size. I'm also attaching the python script i used to run the training. Is there something wrong in the dataloading step? Thanks!

    kitti.py.txt log.txt

    opened by Salvatore-tech 6
  • setup.py dependency error

    setup.py dependency error

    Good evening, i created a conda env thorugh conda env create -f environment.yml and then activated it. However when i try to python setup.py install/develop i get the following message:

    Installed /home/s/FlowNets/ezflow
    Processing dependencies for ezflow==0.2.3
    error: importlib-metadata 4.11.4 is installed but importlib-metadata<1,>=0.12; python_version < "3.8" is required by {'tox'}
    
    

    Can you please clarify what's wrong? Thanks in advance

    opened by Salvatore-tech 6
  • Added advanced spatial augmentations and other fixes

    Added advanced spatial augmentations and other fixes

    • advanced spatial augmentations implemented from VCN
    • added Normalization as a configurable dataset parameter
    • PWC-Net bug fix for MultiScale Loss and Correlation Computation
    • PWC-Net decouple PWC-Net modules
    • Distributed Training barrier synchronization
    • Kubric dataset support
    opened by prajnan93 1
  • Bump certifi from 2021.5.30 to 2022.12.7 in /docs

    Bump certifi from 2021.5.30 to 2022.12.7 in /docs

    Bumps certifi from 2021.5.30 to 2022.12.7.

    Commits

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    dependencies 
    opened by dependabot[bot] 1
  • Bump certifi from 2021.5.30 to 2022.12.7

    Bump certifi from 2021.5.30 to 2022.12.7

    Bumps certifi from 2021.5.30 to 2022.12.7.

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    dependencies 
    opened by dependabot[bot] 1
  • Bump protobuf from 3.17.3 to 3.18.3 in /docs

    Bump protobuf from 3.17.3 to 3.18.3 in /docs

    Bumps protobuf from 3.17.3 to 3.18.3.

    Release notes

    Sourced from protobuf's releases.

    Protocol Buffers v3.18.3

    C++

    Protocol Buffers v3.18.2

    Java

    • Improve performance characteristics of UnknownFieldSet parsing (#9371)

    Protocol Buffers v3.18.1

    Python

    • Update setup.py to reflect that we now require at least Python 3.5 (#8989)
    • Performance fix for DynamicMessage: force GetRaw() to be inlined (#9023)

    Ruby

    • Update ruby_generator.cc to allow proto2 imports in proto3 (#9003)

    Protocol Buffers v3.18.0

    C++

    • Fix warnings raised by clang 11 (#8664)
    • Make StringPiece constructible from std::string_view (#8707)
    • Add missing capability attributes for LLVM 12 (#8714)
    • Stop using std::iterator (deprecated in C++17). (#8741)
    • Move field_access_listener from libprotobuf-lite to libprotobuf (#8775)
    • Fix #7047 Safely handle setlocale (#8735)
    • Remove deprecated version of SetTotalBytesLimit() (#8794)
    • Support arena allocation of google::protobuf::AnyMetadata (#8758)
    • Fix undefined symbol error around SharedCtor() (#8827)
    • Fix default value of enum(int) in json_util with proto2 (#8835)
    • Better Smaller ByteSizeLong
    • Introduce event filters for inject_field_listener_events
    • Reduce memory usage of DescriptorPool
    • For lazy fields copy serialized form when allowed.
    • Re-introduce the InlinedStringField class
    • v2 access listener
    • Reduce padding in the proto's ExtensionRegistry map.
    • GetExtension performance optimizations
    • Make tracker a static variable rather than call static functions
    • Support extensions in field access listener
    • Annotate MergeFrom for field access listener
    • Fix incomplete types for field access listener
    • Add map_entry/new_map_entry to SpecificField in MessageDifferencer. They record the map items which are different in MessageDifferencer's reporter.
    • Reduce binary size due to fieldless proto messages
    • TextFormat: ParseInfoTree supports getting field end location in addition to start.
    • Fix repeated enum extension size in field listener
    • Enable Any Text Expansion for Descriptors::DebugString()
    • Switch from int{8,16,32,64} to int{8,16,32,64}_t

    ... (truncated)

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    dependencies 
    opened by dependabot[bot] 1
  • Bump protobuf from 3.17.3 to 3.18.3

    Bump protobuf from 3.17.3 to 3.18.3

    Bumps protobuf from 3.17.3 to 3.18.3.

    Release notes

    Sourced from protobuf's releases.

    Protocol Buffers v3.18.3

    C++

    Protocol Buffers v3.18.2

    Java

    • Improve performance characteristics of UnknownFieldSet parsing (#9371)

    Protocol Buffers v3.18.1

    Python

    • Update setup.py to reflect that we now require at least Python 3.5 (#8989)
    • Performance fix for DynamicMessage: force GetRaw() to be inlined (#9023)

    Ruby

    • Update ruby_generator.cc to allow proto2 imports in proto3 (#9003)

    Protocol Buffers v3.18.0

    C++

    • Fix warnings raised by clang 11 (#8664)
    • Make StringPiece constructible from std::string_view (#8707)
    • Add missing capability attributes for LLVM 12 (#8714)
    • Stop using std::iterator (deprecated in C++17). (#8741)
    • Move field_access_listener from libprotobuf-lite to libprotobuf (#8775)
    • Fix #7047 Safely handle setlocale (#8735)
    • Remove deprecated version of SetTotalBytesLimit() (#8794)
    • Support arena allocation of google::protobuf::AnyMetadata (#8758)
    • Fix undefined symbol error around SharedCtor() (#8827)
    • Fix default value of enum(int) in json_util with proto2 (#8835)
    • Better Smaller ByteSizeLong
    • Introduce event filters for inject_field_listener_events
    • Reduce memory usage of DescriptorPool
    • For lazy fields copy serialized form when allowed.
    • Re-introduce the InlinedStringField class
    • v2 access listener
    • Reduce padding in the proto's ExtensionRegistry map.
    • GetExtension performance optimizations
    • Make tracker a static variable rather than call static functions
    • Support extensions in field access listener
    • Annotate MergeFrom for field access listener
    • Fix incomplete types for field access listener
    • Add map_entry/new_map_entry to SpecificField in MessageDifferencer. They record the map items which are different in MessageDifferencer's reporter.
    • Reduce binary size due to fieldless proto messages
    • TextFormat: ParseInfoTree supports getting field end location in addition to start.
    • Fix repeated enum extension size in field listener
    • Enable Any Text Expansion for Descriptors::DebugString()
    • Switch from int{8,16,32,64} to int{8,16,32,64}_t

    ... (truncated)

    Commits

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    dependencies 
    opened by dependabot[bot] 1
  • Bump oauthlib from 3.1.1 to 3.2.1 in /docs

    Bump oauthlib from 3.1.1 to 3.2.1 in /docs

    Bumps oauthlib from 3.1.1 to 3.2.1.

    Release notes

    Sourced from oauthlib's releases.

    3.2.1

    In short

    OAuth2.0 Provider:

    • #803 : Metadata endpoint support of non-HTTPS
    • CVE-2022-36087

    OAuth1.0:

    • #818 : Allow IPv6 being parsed by signature

    General:

    • Improved and fixed documentation warnings.
    • Cosmetic changes based on isort

    What's Changed

    New Contributors

    Full Changelog: https://github.com/oauthlib/oauthlib/compare/v3.2.0...v3.2.1

    3.2.0

    Changelog

    OAuth2.0 Client:

    • #795: Add Device Authorization Flow for Web Application
    • #786: Add PKCE support for Client
    • #783: Fallback to none in case of wrong expires_at format.

    OAuth2.0 Provider:

    • #790: Add support for CORS to metadata endpoint.
    • #791: Add support for CORS to token endpoint.
    • #787: Remove comma after Bearer in WWW-Authenticate

    OAuth2.0 Provider - OIDC:

    • #755: Call save_token in Hybrid code flow
    • #751: OIDC add support of refreshing ID Tokens with refresh_id_token
    • #751: The RefreshTokenGrant modifiers now take the same arguments as the AuthorizationCodeGrant modifiers (token, token_handler, request).

    ... (truncated)

    Changelog

    Sourced from oauthlib's changelog.

    3.2.1 (2022-09-09)

    OAuth2.0 Provider:

    • #803: Metadata endpoint support of non-HTTPS
    • CVE-2022-36087

    OAuth1.0:

    • #818: Allow IPv6 being parsed by signature

    General:

    • Improved and fixed documentation warnings.
    • Cosmetic changes based on isort

    3.2.0 (2022-01-29)

    OAuth2.0 Client:

    • #795: Add Device Authorization Flow for Web Application
    • #786: Add PKCE support for Client
    • #783: Fallback to none in case of wrong expires_at format.

    OAuth2.0 Provider:

    • #790: Add support for CORS to metadata endpoint.
    • #791: Add support for CORS to token endpoint.
    • #787: Remove comma after Bearer in WWW-Authenticate

    OAuth2.0 Provider - OIDC:

    • #755: Call save_token in Hybrid code flow
    • #751: OIDC add support of refreshing ID Tokens with refresh_id_token
    • #751: The RefreshTokenGrant modifiers now take the same arguments as the AuthorizationCodeGrant modifiers (token, token_handler, request).

    General:

    • Added Python 3.9, 3.10, 3.11
    • Improve Travis & Coverage
    Commits
    • 88bb156 Updated date and authors
    • 1a45d97 Prepare 3.2.1 release
    • 0adbbe1 docs: fix typos
    • 6569ec3 docs: Fix a few typos
    • bdc486e Fixed isort imports
    • 7db45bd Fix typo in server.rst
    • b14ad85 chore: s/bode_code_verifier/body_code_verifier/g
    • b123283 Allow non-HTTPS issuer when OAUTHLIB_INSECURE_TRANSPORT. (#803)
    • 2f887b5 Docs: fix Sphinx warnings for better ReadTheDocs generation (#807)
    • d4bafd9 Merge pull request #797 from cclauss/patch-2
    • Additional commits viewable in compare view

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    dependencies 
    opened by dependabot[bot] 1
  • Bump cookiecutter from 1.7.3 to 2.1.1 in /docs

    Bump cookiecutter from 1.7.3 to 2.1.1 in /docs

    Bumps cookiecutter from 1.7.3 to 2.1.1.

    Release notes

    Sourced from cookiecutter's releases.

    2.1.1

    Documentation updates

    Bugfixes

    • Sanitize Mercurial branch information before checkout. (#1689) @​ericof

    This release is made by wonderful contributors:

    @​alkatar21, @​ericof and @​jensens

    2.1.0

    Preamble

    This release log lists all changes from 1.7.3 to this release. It includes the log of the 2.0.x releases, which were never published on PyPI. Because of that it might look a bit blurry.

    We release the current stable state of the project, knowing there are a bunch of open pull requests. Those will be reviewed by the core-committers and merged or dropped.

    Future releases will happen more frequently. Stay tuned.

    Fetch fresh from PyPI https://pypi.org/project/cookiecutter/2.1.0/

    Changes

    Breaking Changes

    Minor Changes

    ... (truncated)

    Changelog

    Sourced from cookiecutter's changelog.

    2.1.1 (2022-06-01)

    Documentation updates

    Bugfixes

    • Sanitize Mercurial branch information before checkout. (#1689) @​ericof

    This release is made by wonderfull contributors:

    @​alkatar21, @​ericof and @​jensens

    2.1.0 (2022-05-30)

    Changes

    CI/CD and QA changes

    Documentation updates

    Bugfixes

    This release was made possible by our wonderful contributors:

    @​doobrie, @​jensens, @​ericof, @​luzfcb

    2.0.2 (2021-12-27)

    Remark: This release never made it to official PyPI

    ... (truncated)

    Commits
    • f9376a9 Prepare release 2.1.1
    • fdffddb Merge pull request #1689 from cookiecutter/sanitize-mercurial-checkout
    • 85a7884 Lint fixes
    • e26c465 Sanitize Mercurial branch information before checkout.
    • 94036d0 Merge pull request #1687 from cookiecutter/bump-version-back-to-dev
    • 70b2ee2 Merge pull request #1686 from alkatar21/patch-1
    • 8b33e96 Bump version to 2.1.1.dev0
    • 58d716f [Docs] Fix local extensions documentation
    • f601b71 Merge pull request #1684 from cookiecutter/bump-release-2.1.0
    • 96c6826 bump version and edit historie
    • Additional commits viewable in compare view

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    dependencies 
    opened by dependabot[bot] 1
  • Bump ujson from 1.35 to 5.2.0

    Bump ujson from 1.35 to 5.2.0

    Bumps ujson from 1.35 to 5.2.0.

    Release notes

    Sourced from ujson's releases.

    5.2.0

    Added

    Fixed

    5.1.0

    Changed

    5.0.0

    Added

    Removed

    Fixed

    4.3.0

    Added

    4.2.0

    Added

    Changed

    ... (truncated)

    Commits
    • f6860f1 Remove shebang
    • c0ff7b1 python -m pytest
    • 362fed3 Clearer pytest command
    • 82917c0 actions/[email protected]
    • 3c095f1 Widen tests to cover more possible buffer overflows
    • f4d2c87 Refactor buffer reservations to ensure sufficient space on all additions
    • 1846e08 Add fuzz test to CI/CD.
    • 5875168 Fix some more seg-faults on encoding.
    • 1a39406 Remove the hidden JSON_NO_EXTRA_WHITESPACE compile knob.
    • 20aa1a6 Add a fuzzing test to search for segfaults in encoding.
    • Additional commits viewable in compare view

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    dependencies 
    opened by dependabot[bot] 1
  • Bug in operations.py when image size is equal to crop size

    Bug in operations.py when image size is equal to crop size

    y0 = max(0, np.random.randint(0, img1.shape[0] - crop_size[0]))
    File "mtrand.pyx", line 747, in numpy.random.mtrand.RandomState.randint
    File "_bounded_integers.pyx", line 1254, in numpy.random._bounded_integers._rand_int64
    ValueError: low >= high
    
    opened by prajnan93 1
  • Automatically bump package version on release

    Automatically bump package version on release

    Extend the CD workflow such that the version string variables for the package are automatically updated every time a release is created on GitHub. It should extract the version number from the release tag.

    opened by NeelayS 0
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A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

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[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data

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ZJU-VIPA 37 Nov 10, 2022
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

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PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

PyTorch Image Models Sponsors What's New Introduction Models Features Results Getting Started (Documentation) Train, Validation, Inference Scripts Awe

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the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"

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Yezhen Wang 36 Dec 02, 2022
LSTM Neural Networks for Spectroscopic Studies of Type Ia Supernovae

Package Description The difficulties in acquiring spectroscopic data have been a major challenge for supernova surveys. snlstm is developed to provide

7 Oct 11, 2022
Balancing Principle for Unsupervised Domain Adaptation

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PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

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Data Analysis Center 220 Dec 26, 2022
Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence

In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training pro

Yang Wenhan 44 Dec 06, 2022
Analyzing basic network responses to novel classes

novelty-detection Analyzing how AlexNet responds to novel classes with varying degrees of similarity to pretrained classes from ImageNet. If you find

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NER for Indian languages

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basic tutorial on pytorch

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StyleTransfer - Open source style transfer project, based on VGG19

StyleTransfer - Open source style transfer project, based on VGG19

Patrick martins de lima 9 Dec 13, 2021
This is the official code for the paper "Ad2Attack: Adaptive Adversarial Attack for Real-Time UAV Tracking".

Ad^2Attack:Adaptive Adversarial Attack on Real-Time UAV Tracking Demo video 📹 Our video on bilibili demonstrates the test results of Ad^2Attack on se

Intelligent Vision for Robotics in Complex Environment 10 Nov 07, 2022
百度2021年语言与智能技术竞赛机器阅读理解Pytorch版baseline

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audioLIME: Listenable Explanations Using Source Separation

audioLIME This repository contains the Python package audioLIME, a tool for creating listenable explanations for machine learning models in music info

Institute of Computational Perception 27 Dec 01, 2022