[pull] master from qubvel:master #72
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* Add metrics * Add docs * Add example notebook
* Add black and flake8 * Fix test losses * Fix pre-commit * Update README
* Add preprocessing for timm
* Updating losses.rst and mcc loss function * Added testing and updated init. * Updated add syntax. Co-authored-by: Hamdah Abbasi <hamdahshafqat@hotmail.com> Co-authored-by: Hythem Sidky <hsidky@users.noreply.github.com> Co-authored-by: Hythem Sidky <hythem.sidky@axleinfo.com>
Co-authored-by: Shah <bhavin.t.shah@jpl.nasa.gov>
* Segformer backbone * Add limitations for FPN, Unet++, Linknet * fix tests
The previous return type of `Tuple[torch.LongTensor]` implies that the tuple includes one item. This commit changes this to a tuple of four LongTensors to represent TP, FP, FN, and TN.
Correct functional.py _compute_metric when reduction == "weighted"
* config: timm version bump 0.4.12 -> 0.6.12 * fix: timm based EfficientNetBaseEncoder after timm upgrade to 0.6.12 EfficientNet act1 layer in timm is merged with bn1 layer after ab49d275de8a9c344aea086fd86d04c4cabb6098 commit * fix: use "public" API for timm models availability check * fix: timm SkNetEncoder after timm upgrade to 0.6.12 `zero_init_last_bn` was renamed to `zero_init_last` in 372ad5fa0dbeb74dcec81db06e9ff69b3d5a2eb6 commit * fix: timm RegNet encoder after timm upgrade to 0.6.12 Instead of plain dict config RegNet uses RegNetCfg dataclass. Dataclasses module were added in Python 3.7, thats why min required Python version for package is also increased. * feat: bump Python version used in Github Actions to 3.7
* add mobileone encoder * remove testing code * add custom state dict * remove old import * fix formatting, extend README * fix formatting, add limitation notice * add support for 1 channel * add mobileone to encoder docs * fix encoder docs Co-authored-by: Kevin Bondzio <k.bondzio@ai-mentoring.com>
* Update timm encoders list * Update flake8 config * Update author name * Bump version
Bumps [timm](https://github.com/rwightman/pytorch-image-models) from 0.6.12 to 0.6.13. - [Release notes](https://github.com/rwightman/pytorch-image-models/releases) - [Changelog](https://github.com/huggingface/pytorch-image-models/blob/main/docs/archived_changes.md) - [Commits](huggingface/pytorch-image-models@v0.6.12...v0.6.13) --- updated-dependencies: - dependency-name: timm dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
NeurIPS2022 CellSeg Challenge 1st Winner (Hall of Fame)
* Create Makefile, simplify checks run * Fix new timm configs API * Add timm table generation step * Update timm table in docs * Update timm version to 0.9.2 * Bump smp version 0.3.3 * Update ubuntu runner
* Bump timm from 0.9.2 to 0.9.5 Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 0.9.2 to 0.9.5. - [Release notes](https://github.com/huggingface/pytorch-image-models/releases) - [Changelog](https://github.com/huggingface/pytorch-image-models/blob/main/docs/archived_changes.md) - [Commits](huggingface/pytorch-image-models@v0.9.2...v0.9.5) --- updated-dependencies: - dependency-name: timm dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> * Update requirements.txt --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 0.9.5 to 0.9.7. - [Release notes](https://github.com/huggingface/pytorch-image-models/releases) - [Changelog](https://github.com/huggingface/pytorch-image-models/blob/main/docs/changes.md) - [Commits](huggingface/pytorch-image-models@v0.9.5...v0.9.7) --- updated-dependencies: - dependency-name: timm dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
…ctions need to be renamed (#870) In albumentations >= 1.4.0 the "imgaug" library was removed. some functions need to be renamed in order to support albumentations >= 1.4.0. read more at: https://albumentations.ai/docs/release_notes/
….py (#855) false positve and false negative rate functions to increase clarity for further usage, the two functions can be derived from already written sensitivity and specificity functions. Merging these into single ones, will help user to generalize all the metrics easily.
* Bump version * Update gitignore * Update flake * Add hub mixin * Fix interpolation * Add from_pretrained * Update example
* use precommit * make * packages
* Reformat with ruff * Add ruff * Check lint error * Fix * Fix test
* Add docs config * Fix mock * Add huggingface_hub to reqs for docs * Remove from mocks * Fix * Change theme * Fix * Fix * Update emoji * Table of content * Links in doc * Update content * Update examples * Update * Update * Add save load
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