Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Will mmsegmentation add efficientnet as the backbone network? #1319

Closed
daigang896 opened this issue Feb 24, 2022 · 2 comments
Closed

Will mmsegmentation add efficientnet as the backbone network? #1319

daigang896 opened this issue Feb 24, 2022 · 2 comments
Assignees
@MengzhangLI

Comments

@daigang896
Copy link

Hello. Will mmsegmentation add efficientnet as the backbone network? I've been looking forward to it.
@MengzhangLI
Copy link
Contributor

MengzhangLI commented Feb 24, 2022 •
edited
Loading

It has been supported in MMClassification: https://github.com/open-mmlab/mmclassification.

You can follow this Chinese article step to load efficientnet backbone from mmcls: https://zhuanlan.zhihu.com/p/436865195.

P.S. pip install mmcls first.

@MengzhangLI MengzhangLI self-assigned this Feb 24, 2022
@daigang896
Copy link
Author

OK, thanks. I'll try it.

aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this issue Mar 27, 2023
@skirsten
[Flax] Fix loading scheduler from subfolder (open-mmlab#1319)
5dcef13 
[FLAX] Fix loading scheduler from subfolder
aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this issue Mar 27, 2023
@teticio @patrickvonplaten
add AudioDiffusionPipeline and LatentAudioDiffusionPipeline open-mmla…
48d0123 
…b#1334 (open-mmlab#1426)

* add AudioDiffusionPipeline and LatentAudioDiffusionPipeline

* add docs to toc

* fix tests

* fix tests

* fix tests

* fix tests

* fix tests

* Update pr_tests.yml

Fix tests

* parent 499ff34b3edc3e0c506313ab48f21514d8f58b09
author teticio <teticio@gmail.com> 1668765652 +0000
committer teticio <teticio@gmail.com> 1669041721 +0000

parent 499ff34b3edc3e0c506313ab48f21514d8f58b09
author teticio <teticio@gmail.com> 1668765652 +0000
committer teticio <teticio@gmail.com> 1669041704 +0000

add colab notebook

[Flax] Fix loading scheduler from subfolder (open-mmlab#1319)

[FLAX] Fix loading scheduler from subfolder

Fix/Enable all schedulers for in-painting (open-mmlab#1331)

* inpaint fix k lms

* onnox as well

* up

Correct path to schedlure (open-mmlab#1322)

* [Examples] Correct path

* uP

Avoid nested fix-copies (open-mmlab#1332)

* Avoid nested `# Copied from` statements during `make fix-copies`

* style

Fix img2img speed with LMS-Discrete Scheduler (open-mmlab#896)

Casting `self.sigmas` into a different dtype (the one of original_samples) is not advisable. In my img2img pipeline this leads to a long running time in the  `integrate.quad` call later on- by long I mean more than 10x slower.

Co-authored-by: Anton Lozhkov <anton@huggingface.co>

Fix the order of casts for onnx inpainting (open-mmlab#1338)

Legacy Inpainting Pipeline for Onnx Models (open-mmlab#1237)

* Add legacy inpainting pipeline compatibility for onnx

* remove commented out line

* Add onnx legacy inpainting test

* Fix slow decorators

* pep8 styling

* isort styling

* dummy object

* ordering consistency

* style

* docstring styles

* Refactor common prompt encoding pattern

* Update tests to permanent repository home

* support all available schedulers until ONNX IO binding is available

Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* updated styling from PR suggested feedback

Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

Jax infer support negative prompt (open-mmlab#1337)

* support negative prompts in sd jax pipeline

* pass batched neg_prompt

* only encode when negative prompt is None

Co-authored-by: Juan Acevedo <jfacevedo@google.com>

Update README.md: Minor change to Imagic code snippet, missing dir error (open-mmlab#1347)

Minor change to Imagic Readme

Missing dir causes an error when running the example code.

make style

change the sample model (open-mmlab#1352)

* Update alt_diffusion.mdx

* Update alt_diffusion.mdx

Add bit diffusion [WIP] (open-mmlab#971)

* Create bit_diffusion.py

Bit diffusion based on the paper, arXiv:2208.04202, Chen2022AnalogBG

* adding bit diffusion to new branch

ran tests

* tests

* tests

* tests

* tests

* removed test folders + added to README

* Update README.md

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* move Mel to module in pipeline construction, make librosa optional

* fix imports

* fix copy & paste error in comment

* fix style

* add missing register_to_config

* fix class docstrings

* fix class docstrings

* tweak docstrings

* tweak docstrings

* update slow test

* put trailing commas back

* respect alphabetical order

* remove LatentAudioDiffusion, make vqvae optional

* move Mel from models back to pipelines :-)

* allow loading of pretrained audiodiffusion models

* fix tests

* fix dummies

* remove reference to latent_audio_diffusion in docs

* unused import

* inherit from SchedulerMixin to make loadable

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@MengzhangLI MengzhangLI

Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@MengzhangLI @daigang896