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chore(release): 2.0.0 [skip ci]
## [2.0.0](1.0.6...2.0.0) (2022-12-12) ### ⚠ BREAKING CHANGES * **augmentation:** change default N2 noise value for print&scan simulation * **dataset:** remove automatic bgr to rgb conversion * **cli:** reset seed before training and before evaluation * **augmentation:** change signature of augmentation process_element ### Features * **augmentation:** add grayscale augmentation ([b81d2db](b81d2db)) * **augmentation:** add jpeg and resize augmentations ([5b52035](5b52035)) * **augmentation:** add print&scan augmentation step ([458394b](458394b)) * **augmentation:** add stack config to grayscale step ([a79e642](a79e642)) * **config:** add json metrics file report ([4032d95](4032d95)) * **dataset:** allow for empty test set ([ef11f07](ef11f07)) * **feature-extraction:** add prnu, fourier and wavelets ([4393e3e](4393e3e)) * **loaders:** add cfd/cfdmorph loaders ([4454797](4454797)) * **loaders:** add morph level args to CFDMorph loader ([f273cc5](f273cc5)) * **loaders:** add png and jpg loading for cfd and cfdmorph ([0106e99](0106e99)) * **model:** add feature inception resnet ([d247360](d247360)) * **model:** use 8 instead of 5 decimals in scores ([5b818d4](5b818d4)) * **preprocessing:** add dataset-variant preprocessing ([daa6247](daa6247)) * **preprocessing:** add select channel and color space conversions ([b8795b9](b8795b9)) * **preprocessing:** make maximum value configurable for each channel ([ef58d51](ef58d51)) ### Bug Fixes * **augmentation:** change default N2 noise value for print&scan simulation ([428957d](428957d)) * **augmentation:** make print&scan sigma proportional to image diagonal ([4ce23e1](4ce23e1)) * **callbacks:** fix missing image report if fine tuning ([9b7abb6](9b7abb6)) * **cli:** reset seed before training and before evaluation ([3d8d62b](3d8d62b)) * **dataset:** fix use before assign in offline processing ([677d798](677d798)) * **model:** mitigate memory leak in model evaluation ([a7919b6](a7919b6)) ### Code Refactoring * **augmentation:** change signature of augmentation process_element ([cab004f](cab004f)) * **dataset:** remove automatic bgr to rgb conversion ([5e28a29](5e28a29))
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CHANGELOG.md

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## [2.0.0](https://github.com/ndido98/revelio/compare/1.0.6...2.0.0) (2022-12-12)
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### ⚠ BREAKING CHANGES
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* **augmentation:** change default N2 noise value for print&scan simulation
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* **dataset:** remove automatic bgr to rgb conversion
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* **cli:** reset seed before training and before evaluation
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* **augmentation:** change signature of augmentation process_element
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### Features
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* **augmentation:** add grayscale augmentation ([b81d2db](https://github.com/ndido98/revelio/commit/b81d2dbd02aed47963bf131f31a0ee99c54c984b))
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* **augmentation:** add jpeg and resize augmentations ([5b52035](https://github.com/ndido98/revelio/commit/5b520355b6672727abd709882e4dee566a34f2cd))
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* **augmentation:** add print&scan augmentation step ([458394b](https://github.com/ndido98/revelio/commit/458394b15a193f4264debd8fb847202a896b9158))
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* **augmentation:** add stack config to grayscale step ([a79e642](https://github.com/ndido98/revelio/commit/a79e642dcef14765eaee1c498d3917cf3f668a57))
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* **config:** add json metrics file report ([4032d95](https://github.com/ndido98/revelio/commit/4032d95d462d464cc5a173ee1505829d4fc868b5))
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* **dataset:** allow for empty test set ([ef11f07](https://github.com/ndido98/revelio/commit/ef11f071e55bc5cce249441e0b2f205a97601828))
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* **feature-extraction:** add prnu, fourier and wavelets ([4393e3e](https://github.com/ndido98/revelio/commit/4393e3e11934c46a775f38e55d50bc94aaf764c1))
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* **loaders:** add cfd/cfdmorph loaders ([4454797](https://github.com/ndido98/revelio/commit/4454797cd57ed4d99bc41a6cd2b0ffe882e6464c))
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* **loaders:** add morph level args to CFDMorph loader ([f273cc5](https://github.com/ndido98/revelio/commit/f273cc5f3e1513440472883921cf94df1e438167))
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* **loaders:** add png and jpg loading for cfd and cfdmorph ([0106e99](https://github.com/ndido98/revelio/commit/0106e990510f53138ed7447b1b154a9f3e17697d))
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* **model:** add feature inception resnet ([d247360](https://github.com/ndido98/revelio/commit/d247360ddeb902c12d6f77d5832164774fbd777f))
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* **model:** use 8 instead of 5 decimals in scores ([5b818d4](https://github.com/ndido98/revelio/commit/5b818d4d4bd1f3bfd48df53988e2a14c82e689e3))
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* **preprocessing:** add dataset-variant preprocessing ([daa6247](https://github.com/ndido98/revelio/commit/daa6247857997a37f966a7c1f694c7841c6bf181))
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* **preprocessing:** add select channel and color space conversions ([b8795b9](https://github.com/ndido98/revelio/commit/b8795b9136d419fb8ef9d20099c7214def8a0495))
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* **preprocessing:** make maximum value configurable for each channel ([ef58d51](https://github.com/ndido98/revelio/commit/ef58d51238beeb518fe8232bcd99385123847c82))
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### Bug Fixes
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* **augmentation:** change default N2 noise value for print&scan simulation ([428957d](https://github.com/ndido98/revelio/commit/428957dd0f75e07e357292eef3f156e6611e187e))
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* **augmentation:** make print&scan sigma proportional to image diagonal ([4ce23e1](https://github.com/ndido98/revelio/commit/4ce23e193d57778ecc2c0ae4ae791dc7b1046e48))
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* **callbacks:** fix missing image report if fine tuning ([9b7abb6](https://github.com/ndido98/revelio/commit/9b7abb615ce9c8600b6120fd64d01a4e2aba7015))
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* **cli:** reset seed before training and before evaluation ([3d8d62b](https://github.com/ndido98/revelio/commit/3d8d62b49270ea3b11537cd1c15c4af99e5b228a))
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* **dataset:** fix use before assign in offline processing ([677d798](https://github.com/ndido98/revelio/commit/677d798999d766326ea2e5d20565d559286ef9c8))
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* **model:** mitigate memory leak in model evaluation ([a7919b6](https://github.com/ndido98/revelio/commit/a7919b6bace16c4e7317bd29c27b02779d1c7c2d))
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### Code Refactoring
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* **augmentation:** change signature of augmentation process_element ([cab004f](https://github.com/ndido98/revelio/commit/cab004fbe945b3685e3fb850a0683e613fe63cbc))
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* **dataset:** remove automatic bgr to rgb conversion ([5e28a29](https://github.com/ndido98/revelio/commit/5e28a29bff0355517c1e7a323a8d2a39de741b79))
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## [1.0.6](https://github.com/ndido98/revelio/compare/1.0.5...1.0.6) (2022-12-08)
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