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BASNet model #2006

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martin-gorner opened this issue Aug 2, 2023 · 8 comments · Fixed by #2271
Closed

BASNet model #2006

martin-gorner opened this issue Aug 2, 2023 · 8 comments · Fixed by #2271

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@martin-gorner
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martin-gorner commented Aug 2, 2023

Add the BASNet segmentation model to KerasCV.

A keras.io BASNet example already exists, based on this BASNet implementation, both from Hamid Ali.

The API should follow that of the existing DeepLabV3 model.

@martin-gorner
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@hamidriasat, would you like to contribute your BASNet implementation?

@IMvision12
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I can add this model @martin-gorner !

@hamidriasat
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@martin-gorner Yes, I would be delighted to contribute my BASNet implementation to KerasCV.

@jbischof
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jbischof commented Aug 2, 2023

Thanks @hamidriasat! Thanks as well for your offer @IMvision12 but since Hamid wrote the example we'll give him first pass.

@divyashreepathihalli
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@hamidriasat are you working on this?

@hamidriasat
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@divyashreepathihalli
Hi, sorry for the delay I was busy with other things.
But I am working on it, here you can check the initial progress with the model added.

I have also successfully added test cases for BASNet but will push the code once It's cleaned.
My plan is to soon submit a pull request with the model and test cases, then paper weights will be added later, kindly let me know, will this work?

@tirthasheshpatel
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Glad to see so much progress! It looks good and should work. Feel free to open a draft PR if you want.

@divyashreepathihalli
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Thank you for submitting the PR @hamidriasat! Great job!!

divyashreepathihalli pushed a commit that referenced this issue Jan 17, 2024
* BASNet model initial code structure

* adding test and initial preset details

* adding comments

* cleaning and formatting code

* keras 3 support added

* disabling preset test for BASNet
sampathweb pushed a commit that referenced this issue Jan 31, 2024
* BASNet model initial code structure

* adding test and initial preset details

* adding comments

* cleaning and formatting code

* keras 3 support added

* disabling preset test for BASNet
sampathweb added a commit that referenced this issue Jan 31, 2024
* Move keras-cv markdown files to toplevel (#2291)

Keras, KerasNLP and KerasTuner all store things liek the CONTRIBUTING.md
in the toplevel of the repo. We should do the same here.

* Add `version()` API to unify with Keras and KerasNLP (#2199)

* Unify `version` API with keras and keras_nlp

* Formatting

* Update to keep `version` parity with KerasNLP, support nightly version string

* Update version_utils.py

* Update version_utils.py

* Update random_crop_and_zoom.py (#2294)

* Update random_crop_and_zoom.py

* Update description

* rename file

* bug fix (#2303)

* Add BASNet Segmentation Model (#2006) (#2271)

* BASNet model initial code structure

* adding test and initial preset details

* adding comments

* cleaning and formatting code

* keras 3 support added

* disabling preset test for BASNet

* Fix image.shape type (#2305)

Fixed image.shape issue for tensorflow backend

* Create workflow for auto assignment of issues and for stale issues (#2313)

* Create auto-assignment.yaml

* Create auto-assignment.js

* Create stale-issue-pr.yaml

* Rename auto-assignment.yaml to auto-assignment.yml

* Rename stale-issue-pr.yaml to stale-issue-pr.yml

* Fix format and Update Vectorized Base (#2323)

* Fix CI Test for Basnet OOM and PyCoCo Test Failure for JAX (#2322)

* Reduce memory consumption for BasNet tests (#2325)

---------

Co-authored-by: Matt Watson <1389937+mattdangerw@users.noreply.github.com>
Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com>
Co-authored-by: Sachin Prasad <sachinprasad@google.com>
Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com>
Co-authored-by: Hamid Ali <hamidriasat@gmail.com>
Co-authored-by: Tirth Patel <tirthasheshpatel@gmail.com>
yuvraj-wale pushed a commit to yuvraj-wale/keras-cv that referenced this issue Feb 8, 2024
* BASNet model initial code structure

* adding test and initial preset details

* adding comments

* cleaning and formatting code

* keras 3 support added

* disabling preset test for BASNet
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6 participants