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.

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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)

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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/checkout@v3
    • 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
Releases(v0.2.4)
A lightweight deep network for fast and accurate optical flow estimation.

FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation The official PyTorch implementation of FastFlowNet (ICRA 2021). Authors: Lingtong

Tone 161 Jan 3, 2023
[CVPR 2022] Deep Equilibrium Optical Flow Estimation

Deep Equilibrium Optical Flow Estimation This is the official repo for the paper Deep Equilibrium Optical Flow Estimation (CVPR 2022), by Shaojie Bai*

CMU Locus Lab 136 Dec 18, 2022
Just Go with the Flow: Self-Supervised Scene Flow Estimation

Just Go with the Flow: Self-Supervised Scene Flow Estimation Code release for the paper Just Go with the Flow: Self-Supervised Scene Flow Estimation,

Himangi Mittal 50 Nov 22, 2022
MMFlow is an open source optical flow toolbox based on PyTorch

Documentation: https://mmflow.readthedocs.io/ Introduction English | 简体中文 MMFlow is an open source optical flow toolbox based on PyTorch. It is a part

OpenMMLab 688 Jan 6, 2023
Demo code for paper "Learning optical flow from still images", CVPR 2021.

Depthstillation Demo code for "Learning optical flow from still images", CVPR 2021. [Project page] - [Paper] - [Supplementary] This code is provided t

null 130 Dec 25, 2022
Learning Optical Flow from a Few Matches (CVPR 2021)

Learning Optical Flow from a Few Matches This repository contains the source code for our paper: Learning Optical Flow from a Few Matches CVPR 2021 Sh

Shihao Jiang (Zac) 159 Dec 16, 2022
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

This is a Pytorch implementation of Janai, J., Güney, F., Ranjan, A., Black, M. and Geiger, A., Unsupervised Learning of Multi-Frame Optical Flow with

Anurag Ranjan 110 Nov 2, 2022
A fast model to compute optical flow between two input images.

DCVNet: Dilated Cost Volumes for Fast Optical Flow This repository contains our implementation of the paper: @InProceedings{jiang2021dcvnet, title={

Huaizu Jiang 8 Sep 27, 2021
Demo code for ICCV 2021 paper "Sensor-Guided Optical Flow"

Sensor-Guided Optical Flow Demo code for "Sensor-Guided Optical Flow", ICCV 2021 This code is provided to replicate results with flow hints obtained f

null 10 Mar 16, 2022
A project that uses optical flow and machine learning to detect aimhacking in video clips.

waldo-anticheat A project that aims to use optical flow and machine learning to visually detect cheating or hacking in video clips from fps games. Che

waldo.vision 542 Dec 3, 2022
A project that uses optical flow and machine learning to detect aimhacking in video clips.

waldo-anticheat A project that aims to use optical flow and machine learning to visually detect cheating or hacking in video clips from fps games. Che

waldo.vision 383 Nov 1, 2021
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss This repository contains the TensorFlow implementation of the paper UnF

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Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab

VQGAN-CLIP-Video cat.mp4 policeman.mp4 schoolboy.mp4 forsenBOG.mp4

null 23 Oct 26, 2022
Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)

Noise Contrastive Estimation for pyTorch Overview This repository contains a re-implementation of the Noise Contrastive Estimation algorithm, implemen

Denis Emelin 42 Nov 24, 2022
Official PyTorch Implementation of Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity

UnRigidFlow This is the official PyTorch implementation of UnRigidFlow (IJCAI2019). Here are two sample results (~10MB gif for each) of our unsupervis

Liang Liu 28 Nov 16, 2022
Neural Scene Flow Fields using pytorch-lightning, with potential improvements

nsff_pl Neural Scene Flow Fields using pytorch-lightning. This repo reimplements the NSFF idea, but modifies several operations based on observation o

AI葵 178 Dec 21, 2022
[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.

FFB6D This is the official source code for the CVPR2021 Oral work, FFB6D: A Full Flow Biderectional Fusion Network for 6D Pose Estimation. (Arxiv) Tab

Yisheng (Ethan) He 201 Dec 28, 2022
Code for "PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds", CVPR 2021

PV-RAFT This repository contains the PyTorch implementation for paper "PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clou

Yi Wei 43 Dec 5, 2022
The implemention of Video Depth Estimation by Fusing Flow-to-Depth Proposals

Flow-to-depth (FDNet) video-depth-estimation This is the implementation of paper Video Depth Estimation by Fusing Flow-to-Depth Proposals Jiaxin Xie,

null 32 Jun 14, 2022