)

* Update PULL_REQUEST_TEMPLATE.md

* Update CONTRIBUTING.md

* Update CONTRIBUTING.md

* Update basic_training.py

* More namex fixes

We need to cut a release to get the namex fixes deployed.

Need to cut another minor release for bugfix.

…s-team#2071)

* Update deeplab_v3_plus.py

Update the comment of the `num_classes`parameter which contains the background class and the classes from the data.

* Update deeplab_v3_plus_test.py

Update the tests following the updating of 'num_classes' parameter (now including the background class)

Signed-off-by: Pedro Kaj Kjellerup Nacht <[email protected]>

* Start adding components for the segment anything model

* SAMLayerNormalization -> keras.layers.LayerNormalization

They both behave exactly the same when moving_mean and moving_variance are None and epsilon is 1e-6

* Move the image encoder to detectron2 backbone and fix for tf.keras backend

* Address review comments and address saving bug

- Use `keras_cv.export_api.keras_cv_export` instead of `keras.saving.register_keras_serializable`.
- Add a `SerializableSequential` class to address the saving bug with the `Sequential` model.
- Push the helper functions in `keras_cv/layers/detectron2_layers.py` to the bottom of the file.
- Add the detectron2 layers to the `keras_cv/layers/__init__.py` file.
- Add a test for the `ViTDetPatchingAndEmbedding` layer.

* Make the backbone functional; unite MLP and MLPBlock

* Address David's review comments

* Add SAM Task model; make MaskDecoder and PromptEncoder XLA compatible

* Remove a stray file

* Add docs for the Task model

* Add more references

[skip ci]

* Remove SerializableSequential layer

* detectron2 -> vit_det; add SAM presets; fix ViTDet presets

* Increse test tolerence for GCB Run

* Export SD submodels

* Remove empty folder

* adding deeplab_v3_plus_presets

* update formatting

* fixed error

* reformatted

* fix errors

* added num_classses arg

* add input_shape arg

* update test

* update input_shape

* updated preset

* update test

* move update to from_preset to task.py

* reformatted code

* updated doc string

* Update assert

* Update deeplab_v3_plus_test.py test

* Update task.py

* Update deeplab_v3_plus_test.py

* Update deeplab_v3_plus_test.py

* fix example in docstring

* review comments

* Bump python version requirement to 3.9

Keras-core now requires at least 3.9, and tf 2.14 (out imminently) will
require 3.9 as well.

We should follow suit for cv/nlp.

* Fix build errors with new keras-core version

* Update devcontainer to 3.9

* Use "masks" and "boxes" as prompt keys for SAM

* Fix tests

* Use "masks" and "boxes" as prompt keys for SAM

* Fix tests

* Support missing prompts for SAM

* Update docstrings

* Review fix

* Fix partial prompting for top-level model

…eam#2001 (keras-team#2077)

* Test to demonstrate failures in import

* Explicitly specify full package for more modules, as shown in keras-team#2001

* Update VITDet to conform to KerasCV scaling standards

* dtype fix

)

* Support importing Keras3 as Keras instead of Keras Core

* Fix version parsing

* Remove try/catch (not required)

…team#2093)

* Export task models as both models.task.Model and models.Model

* Same for ImageClassifier

* Update README

* Fix imports in docs

* Update keras import instructions

* Fix decoding of LabelEncoder for RetinaNet

* Deserialize prediction decoder

Otherwise it won't be rendered correctly by the [`TFKerasDocumentationGenerator`](https://github.com/keras-team/keras-io/blob/fc340b9989cdf17fba44e66efa22758afad39b87/scripts/docstrings.py#L27-L28)

…o Stable Diffusion (keras-team#2124)

* update keras-cv json file name

* removed z which was a mistake

* improve keras 3 detection

* update __init__

* update config

* update config to update multibackend flag

* updated spelling error

* updatconfig

* update tf_ops

* update tf -ops

* update tf ops

* undo last commit

* update tf_ops.py

* reformat

* update init()

* update minor error in tf ops

* remove check for keras 3

* revert changes to tf_ops

* disable layers using internal base random layer

* update syntax error

* update imports in keras version check layer

* update init method in keras version check

* add seed argument

* rasie error in class itself

* update constructor

* update to import directly from layers

* update import in base image augmenattion layer

* change import sin tf_ops

* update tf ops import

* change init

* update tf_ops

* update backend functions

* keras.src

* update namespace

* update namescope correctly

* code reformat

* reformat and add backend functions

* modified ops import

* reformat

* update ops

* update backend

* update ops

* code reformatted

* update import

* update imports in ops

* update error message

* review changes added

* update keras imports

* update imports

* update imports

* update import in random.py

* add issues link

* code reformat

* code reformat

* review comments addressed

* code reformat

* Fix Segment Anything Model saving bug

* Use keras iitializers for Keras2/3/ compatibility

* Add Nightly package

* update version

* Add security policy

Signed-off-by: Pedro Kaj Kjellerup Nacht <[email protected]>

* Only use private vuln report

Signed-off-by: Pedro Kaj Kjellerup Nacht <[email protected]>

---------

Signed-off-by: Pedro Kaj Kjellerup Nacht <[email protected]>

* add Random ops shim

* update random opss

* handle None case

* change seed handeling

* undo changes

* undo changes

* undo

* update int_seed

* change int to init

* update init_seed everywhere

* add kwargs

* undo bial

* code reformat

* remove dtype

* upload updated aug layers

* reformat and resolve error

* add more layers

* add aug_mix

* code reformat

* add few more layers

* add more layers

* add more layers#

* add more layers

* correct errors#

* remove force generator

* Update aug layers (keras-team#2147)

* Replace random_generator

* Replace random_genereator

* resolve dropblock error

* update base_augmentation_layer_3d and all subclasses

* fix random inversion test

* Fix format and tests

* Fix Keras 2 tests with Seed Gen

---------

Co-authored-by: divyashreepathihalli <[email protected]>

…)" (keras-team#2161)

This reverts commit 365a675.

* Tf generator changes (keras-team#2168)

* Keras3 tests (keras-team#2152)

* Update requirements for Keras 3

* Update Requirements

* Update Requirements

* Add randint for keras3 compatibility

* remove force generator

* fix few tests

* fix tests

* fix more tests

* Update actions.yml

* Tf generator changes (keras-team#2162)

* Keras3 tests (keras-team#2152)

* Update requirements for Keras 3

* Update Requirements

* Update Requirements

* Add randint for keras3 compatibility

* remove force generator

* fix few tests

* fix tests

* fix more tests

* Revert "Replace `RandomGenerator` with `SeedGenerator` (keras-team#2150)" (keras-team#2161)

This reverts commit 365a675.

* Update actions.yml

---------

Co-authored-by: Ramesh Sampath <[email protected]>

* updates to rescaling

* fix import

* code reformat

* namescope

* update name_scope

* correct ops.random

* update base aug layer

* code reformat

* skip rand_augment test

* disable random shear test

* skip test

* update import

* fix format and base layer

* ads smart resize

* undo last commit

* smart_resize update

* update imports

* correct shameful spelling mistake

* update resizing

* update resizing

* update imports

* disable ragged tensor test

* skip tests

* change back translation and zoom test

* revert test changes

* update

* skip repeated augmentation tests

* disable random shear test

* code reformat

* remove legacy_seed

* code reformat

* revert updates to tests

* update tests

* fix mock test

---------

Co-authored-by: Ramesh Sampath <[email protected]>

* Skip keras 3 incompatible layers (keras-team#2169)

* Update requirements.txt

* disable flaky test

* code reformat

* fixes tests on coco metric and serialization

* code reformat

* Skip test on RandAugment

* Skip test on RandAugment

---------

Co-authored-by: Ramesh Sampath <[email protected]>

…eras-team#2159)

* fix shapes error  if images was a list.

* fix tuple error

* revert previous commit

…l -e (keras-team#2118)

* Update pycoco_callback.py

* Update waymo_evaluation_callback.py

* update error message for tensorflow module not found

* code reformatted

* Deprecate keras_v3 save format for Keras3

* Deprecate keras_v3 save format for Keras3

* Deprecate keras_v3 save format for Keras3

* convert to tensor before smart resize

* use tf-ops for smart_resize

* use tf-ops for smart_resize

* Fix Keras 3 version check

* Fix Keras 3 version check

* Fix Keras 3 version check

* Raise error if Keras is not compatible with TF

…2194)

- RandAugment sometimes will choose a "no augmentation" option and
  passthrough inputs unaltered.
- Preprocessing normalization routines were not making copies of inputs
  and sometimes mutating layer input directly (mutating the input
  dict to cast dtypes and uprank tensors).
- RandAugment under the passthrough option would return these inputs
  directly.

The net effect was sometimes attempting to uprank during a passthrough
call, breaking tf.map_fn

* remove keras_core dependency

* update init

* update readme

* fix model None error (keras-team#2176) (keras-team#2177)

* Update pycoco_callback.py

* Update waymo_evaluation_callback.py

* fix model None error (keras-team#2176) (keras-team#2178)

* Update pycoco_callback.py

* Update waymo_evaluation_callback.py

* update readme and conftest

* update readme

* update citation list

* fix mix transformer tests

* fix lint error

* fix all failing tests

* Fix dtype support for SAM

* Update keras_cv/models/segmentation/segment_anything/sam_test.py

* Fix Keras 2 failures

* Fix F401 lint error; remove unused import

* Fix segformer presets

* Add extra SegFormer tests

* Change  flow, add backbone presets to SegFormer presets

* Fix small formatting issue

* Update README.md

* Update README.md

* Update README.md

* Adds Kokoro tests

* Add Kokoro Tests

…tationLayer (keras-team#2123)

* Update random_cutout.py

Make RandomCutout a subclass of VectorizedBaseImageAugmentationLayer

* Fix RandomCutout for ragged inputs

* Fix typo and style

… preprocessing layers (keras-team#2214)

* Vectorize RandomColorDegeneration

* Vectorize Equalization

* Vectorize Equalization

* Fix Equalization for ragged input

…lity of Stable Diffusion source (keras-team#2197)

* Change reference of SeedGen and Serialization

* Change reference of SeedGen and Serialization

* Change reference of SeedGen and Serialization

…am#2243)

* Convert init_seed to int

* Use keras 3 seed gen when applicable

* Use keras 3 seed gen when applicable

* Fixes PyTorch Tests

* Fixes Keras2 DeepLap Tests

* Fixes PyTorch Tests

* Fixes PyTorch Tests

* Fixes Keras2 Tests

* Fix spatial pyramid layer

…team#2245)

* Update Random to Stateless

* For keras3, used the passed seed

* Disable Deeplab V3 tests for Keras2

* Disable StableDiffusion golden value test

* Disable StableDiffusion golden value test

…ras-team#2240)

* Support non-TF backends in KerasCV's preprocessing layers

* Fix failing PyTorch tests on GPU

* ops.convert_to_tensor -> ops.convert_to_numpy

* Fix remaining instances

* More torch failures

* Remove unrelated change

* fix keras-team#2134

* make drop_block_2d keras 3 compatible

* update get_config

* fix 3d preprocessing layer

* disable input format test

* skip format test

* code reformat

* chore: copy the original boxes and apply convert format

* chore: renaming variable

…s-team#2259)

* Add dependabot to monitor GHA and Python

Signed-off-by: Pedro Kaj Kjellerup Nacht <[email protected]>

* Bump GitHub Actions to latest versions

Bumps the github-actions group with 5 updates:

| Package | From | To |
| --- | --- | --- |
| [actions/checkout](https://github.com/actions/checkout) | `3` | `4` |
| [actions/setup-python](https://github.com/actions/setup-python) | `4` | `5` |
| [actions/cache](https://github.com/actions/cache) | `2` | `3` |
| [DoozyX/clang-format-lint-action](https://github.com/doozyx/clang-format-lint-action) | `0.14` | `0.17` |
| [devcontainers/ci](https://github.com/devcontainers/ci) | `0.2` | `0.3` |


Updates `actions/checkout` from 3 to 4
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](actions/checkout@v3...v4)

Updates `actions/setup-python` from 4 to 5
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](actions/setup-python@v4...v5)

Updates `actions/cache` from 2 to 3
- [Release notes](https://github.com/actions/cache/releases)
- [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md)
- [Commits](actions/cache@v2...v3)

Updates `DoozyX/clang-format-lint-action` from 0.14 to 0.17
- [Release notes](https://github.com/doozyx/clang-format-lint-action/releases)
- [Commits](DoozyX/clang-format-lint-action@v0.14...v0.17)

Updates `devcontainers/ci` from 0.2 to 0.3
- [Release notes](https://github.com/devcontainers/ci/releases)
- [Commits](devcontainers/ci@v0.2...v0.3)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: github-actions
- dependency-name: actions/setup-python
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: github-actions
- dependency-name: actions/cache
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: github-actions
- dependency-name: DoozyX/clang-format-lint-action
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: github-actions
- dependency-name: devcontainers/ci
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump Python dependencies to latest versions

Bumps the python group with 4 updates: [tf-nightly-cpu](https://github.com/tensorflow/tensorflow), torch, torchvision and [tf-nightly[and-cuda]](https://github.com/tensorflow/tensorflow).


Updates `tf-nightly-cpu` from 2.16.0.dev20231109 to 2.16.0.dev20231221
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/commits)

Updates `torch` from 2.1.0 to 2.1.2+cu118

Updates `torchvision` from 0.16.0 to 0.16.2+cu118

Updates `tf-nightly[and-cuda]` from 2.16.0.dev20231109 to 2.16.0.dev20231221
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/commits)

---
updated-dependencies:
- dependency-name: tf-nightly-cpu
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python
- dependency-name: torchvision
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python
- dependency-name: tf-nightly[and-cuda]
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

---------

Signed-off-by: Pedro Kaj Kjellerup Nacht <[email protected]>
Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

We have switched to a different method for gpu testing.

* align pip_build with keras

* align pip_build with keras

…am#2200)

* Adapt KerasCV to new preset logic

* Add new preset logic to task, add segmentation example to test

* Add updated Kaggle link handling

* Fix backbone preset functionality in Task

* Change to subclassing check for backbone in task

* Add preset conversion upload script

* Fix formatting

* Change preset configs to Kaggle hangles

* Remove legacy from_preset

* Convert all remaining model presets to Kaggle handle

* Convert last remaining presets to Kaggle handle

* Add kaggle handle checking for task class

* Add  flag checking

* Add alias subclass checking

* Add input shape config override

* Fix formatting

* Update config for CenterPillarBackbone

* Ensure that preset with weights defaults to loading weights

* Fix formatting issues

* Comment out preset conversion script

* Convert preset script to functions

* Address preset checking comments, update utils_test.py

* Ensure subclass and alias checking

* Change weights check

* Update presets script

* Change load_weights check

* Add more models to preset conversion

* Remaining models to preset conversion script

* Add comments on load_weights behavior

* Remove useless comment

* Update conversion script to specify name for models

* Add kwargs argument

* Add clearer errors for preset methods

* Formatting fixes

…#2225)

* Update segformer_presets with backbone import

* Update format.

* Convert initial kaggle handles

* Add Vision transformer kaggle switch

* Add kagglehub requirement and auth, fix formatting

* Special case input shape arg

* Add kaggle username and key to CI

* Add kaggle authentication to Keras 2 actions

* Add test line

* Add an extra space

* Fix input shape build on load_preset

* Fix format issues

)

* Update SegFormer preset tests to remove input_shape arg

* Add fix for saving compatibility with Keras 2, fix formatting

* Add fixes for backwards compatibility for versions <2.15

* Bump version number for presets to version 2

* Port over RetinaNet custom metric fix

* Bump DeepLabV3Plus preset version after re-upload