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BASNet model #2006
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@hamidriasat, would you like to contribute your BASNet implementation? |
I can add this model @martin-gorner ! |
@martin-gorner Yes, I would be delighted to contribute my BASNet implementation to KerasCV. |
Thanks @hamidriasat! Thanks as well for your offer @IMvision12 but since Hamid wrote the example we'll give him first pass. |
@hamidriasat are you working on this? |
@divyashreepathihalli I have also successfully added test cases for BASNet but will push the code once It's cleaned. |
Glad to see so much progress! It looks good and should work. Feel free to open a draft PR if you want. |
Thank you for submitting the PR @hamidriasat! Great job!! |
* 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>
* 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
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.
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