pyro-vision - v0.2.0: Improved models, a demo app and a vision API

This release brings a big performance leap to classification models while providing easier contribution and deployment tools.

Note: pyrovision 0.2.0 requires PyTorch 1.11 and torchvision 0.12 or newer.

Highlights

:gift: Gradio Demo

In order to showcase pyrovision added value, a short Gradio demo app was added to the repo! You can try it out live on HF Spaces over :point_right: here

:computer: API boilerplate

Thanks to the great FastAPI by Sebastián Ramírez (@tiangolo), we have added a small template to deploy your own vision API :grin:

Check out in the folder ./api how to get yours running!

:hugs: HF Hub integration

Contributions are important in open source projects and we're happy to announce that our model checkpoints are now available on HF Hub. See it as a github for data files (checkpoints for instance) :+1:

You can load a model from the hub with two lines:

python from pyrovision.models.utils import model_from_hf_hub model = model_from_hf_hub("pyronear/rexnet1_0x")

If you upload your model as well, you can load it from the hub by changing "pyronear/rexnet10x" into "hfuser/model_repo"

:fire: OpenFire reloaded

You might have noticed that our first version of OpenFire started to have a lot of URLs failing. We've scaled up our queries to retrieve public images and checked them manually to produce a new updated version of ~7000 train images and ~800 validation images. The dataset was used to train the new model checkpoints!

The dataset is also available on HF datasets: https://huggingface.co/datasets/pyronear/openfire

Breaking changes

:latin_cross: Deprecated modules

The following modules and features were deprecated: - pyrovision.nn - pyrovision.datasets.wildfire & pyrovision.datasets.video_utils - pyrovision.models.densenet & pyrovision.models.ssresnet

Full changelog

Breaking Changes 🛠

• remove dataset creation related modules by @MateoLostanlen in https://github.com/pyronear/pyro-vision/pull/136
• refactor: Refactored package for incoming v0.2 by @frgfm in https://github.com/pyronear/pyro-vision/pull/138 ### New Features 🚀
• chore: add workflow to publish docker image by @MateoLostanlen in https://github.com/pyronear/pyro-vision/pull/120
• feat: Added codecarbon integration by @frgfm in https://github.com/pyronear/pyro-vision/pull/140
• feat: Added new classification checkpoints by @frgfm in https://github.com/pyronear/pyro-vision/pull/150
• feat: Added a Gradio demo by @frgfm in https://github.com/pyronear/pyro-vision/pull/151
• feat: Added minimal API template by @frgfm in https://github.com/pyronear/pyro-vision/pull/152
• feat: Updated OpenFire extract by @frgfm in https://github.com/pyronear/pyro-vision/pull/153
• feat: Added image prefetching option to Openfire by @frgfm in https://github.com/pyronear/pyro-vision/pull/158
• feat: Improved all model checkpoints and added HF hub loading function by @frgfm in https://github.com/pyronear/pyro-vision/pull/159
• ci: Added release note template file by @frgfm in https://github.com/pyronear/pyro-vision/pull/160 ### Bug Fixes 🐛
• increase OpenFire download threshold by @MateoLostanlen in https://github.com/pyronear/pyro-vision/pull/119
• chore: Updated conda meta by @frgfm in https://github.com/pyronear/pyro-vision/pull/126
• chore: Fixed documentation build and added CI jobs for doc sanity check by @frgfm in https://github.com/pyronear/pyro-vision/pull/130
• fix: Fixed import for torch 1.10 release by @MateoLostanlen in https://github.com/pyronear/pyro-vision/pull/129
• Update README.md by @fe51 in https://github.com/pyronear/pyro-vision/pull/134
• ignore version file by @MateoLostanlen in https://github.com/pyronear/pyro-vision/pull/137
• docs: Fixed URL in CONTRIBUTING by @frgfm in https://github.com/pyronear/pyro-vision/pull/141
• docs: Fixed author entry in pyproject by @frgfm in https://github.com/pyronear/pyro-vision/pull/144
• fix: Fixed OpenFire num_samples & image verification by @frgfm in https://github.com/pyronear/pyro-vision/pull/156
• chore: Bumped pylocron version by @frgfm in https://github.com/pyronear/pyro-vision/pull/157
• [ci: Fixed release publish job by @frgfm in https://github.com/pyronear/pyro-vision/pull/161 ### Improvements
• docs: add inference exemple in readme by @MateoLostanlen in https://github.com/pyronear/pyro-vision/pull/116
• docs: remove email adress by @MateoLostanlen in https://github.com/pyronear/pyro-vision/pull/122
• chore: Updated CI jobs by @frgfm in https://github.com/pyronear/pyro-vision/pull/128
• docs: Updated README & CONTRIBUTING by @frgfm in https://github.com/pyronear/pyro-vision/pull/127
• refactor: Refactored setup.py by @frgfm in https://github.com/pyronear/pyro-vision/pull/133
• chore: Updated license from AGPLv3 to Apache 2 by @frgfm in https://github.com/pyronear/pyro-vision/pull/132
• ci: Updated python version for builds by @MateoLostanlen in https://github.com/pyronear/pyro-vision/pull/135
• ci: Updated funding from OpenCollective to Github by @frgfm in https://github.com/pyronear/pyro-vision/pull/142
• style: Improved code style and documentation by @frgfm in https://github.com/pyronear/pyro-vision/pull/143
• chore: Updates version specifiers & conda recipe by @frgfm in https://github.com/pyronear/pyro-vision/pull/145
• docs: Updates documentation and README by @frgfm in https://github.com/pyronear/pyro-vision/pull/146
• ci: Updated header verification, env collection and docker job by @frgfm in https://github.com/pyronear/pyro-vision/pull/147
• feat: Updated augmentations for training and disabled codecarbon logger by @frgfm in https://github.com/pyronear/pyro-vision/pull/149
• feat: Speeds up OpenFire image verification & improves READMEs by @frgfm in https://github.com/pyronear/pyro-vision/pull/155

New Contributors

• @fe51 made their first contribution in https://github.com/pyronear/pyro-vision/pull/134

Full Changelog: https://github.com/pyronear/pyro-vision/compare/v0.1.2...v0.2.0

- Python
Published by frgfm over 3 years ago

pyro-vision - Bug fix release

This release expands compatibility to latest releases of pytorch and torchvision.

Note: pyrovision 0.1.2 requires PyTorch 1.8 and torchvision 0.9 or newer.

Breaking changes

• Reorganized the references folder (#104)

New features

• Added Dockerfile for ubuntu environment (#108)
• Added conda build dependencies (#112)
• Added our OpenFire V2 in release attachment for open_firev2 (#121)

Bug fixes

• Fixed mobilenet imports for latest torchvision release (#115)

- Python
Published by frgfm almost 5 years ago

pyro-vision - WildFire dataset and additional pretrained models

This release adds a video dataset and multiple pretrained models.

Note: pyrovision 0.1.1 requires PyTorch 1.2 and torchvision 0.4.0 or newer.

Highlights

Datasets

Wildfire detection visual datasets New - Added WildFireDataset (#46, #47, #77) and FrameExtractor (#48, #63) - Added subsampled variant of WildFireDataset (#66)

Improvements - Cleaned codebase (#76, #97) - Improved constructor flexibility of OpenFire (#34)

Models

Common model architectures with pretrained parameters for wildfire detection New - Added pretrained SubsamplerResNet (#69) - Added pretrained ReXNet (#86)

Improvements - Replaced Flatten with torch version (#102)

References

Scripts for training models New - Added training script for WildFireDataset (#64)

Improvements - Updated training script of WildFire (#101)

Test

Verification of the package well-being before release Improvements - Updated OpenFire download tolerance (#100) - Cleaned out fixtures (#105)

Documentation

Online resources for potential users New - Added WildFireDataset to documentation (#54)

Improvements - Updated CONTRIBUTING (#71) - Updated README (#75, #87)

Fixes - Fixed README (#51, #110) - Fixed requirements (#106) - Removed utils module (#107)

Others

Other tools and implementations New - Switched from CircleCI to Github Workflow (#68, #73) - Added markdown URL checker (#72) - Updated license (#78, #95)

Improvements - Fixed header encoding (#55) - Improved CI trigger event (#74) - Updated setup.py (#67) - Renamed package (#84) - Moved env collection script outside of lib (#96, #98, #110)

Fixes - Fixed version attribute (#57) - Fixed codecov integration (#83) - Fixed doc deployment (#85)

- Python
Published by frgfm almost 5 years ago

pyro-vision - Dataset and models for binary classification

This release adds a binary classification dataset and several model architectures for wildfire detection.

Note: pyronear 0.1.0 requires PyTorch 1.2 and torchvision 0.4.0 or newer

Release 0.1.0

Datasets

Wildfire detection visual datasets New - Add OpenFire dataset for image classification (#11)(#15)(#18)(#21)(#32)(#39)

Models

Common model architectures with pretrained parameters for wildfire detection New - Add pretrained ResNet (#37)(#41) - Add pretrained DenseNet (#41) - Add pretrained MobileNetV2 (#41)

Documentation

Documentation for users, contributors and developers of pyronear - Add docs for pyronear.datasets (#11) - Add docs for pyronear.models (#37) - Add docs for pyronear.nn (#41) - Add docs for pyronear.utils (#7) - Add contribution guidelines (#1)(#8)(#29)

Tests

Verifications of the package well-being before release - Add test for pyronear.datasets (#11)(#16)(#39) - Add test for pyronear.models (#37)(#41) - Add test for pyronear.nn (#41) - Add test for pyronear.utils(#17)

Reference scripts

Reference training scripts used to obtain state dictionaries of pretrained models - Add training script with pytorch and torchvision dependencies (#23)(#30)(#32)(#41) - Add training script with fastai dependency (#23)(#30)(#32)(#41)

Checkpoint for the first Pyroneal Model

This first model is a rexnet1_0x with a cutom head using AdaptiveConcatPool2d

- Python
Published by frgfm over 6 years ago