-
Notifications
You must be signed in to change notification settings - Fork 31.9k
Fix object detection2 #20798
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.
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
Fix object detection2 #20798
Conversation
|
The documentation is not available anymore as the PR was closed or merged. |
NielsRogge
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks, looks great!
Since when is LayoutLM supported by the object detection pipeline? :D
sgugger
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks for the fix!
|
… add_get_encoder_decoder_fsmt * 'main' of ssh://github.com/huggingface/transformers: (1433 commits) Add Universal Segmentation class + mapping (huggingface#20766) Stop calling expand_1d on newer TF versions (huggingface#20786) Fix object detection2 (huggingface#20798) [Pipeline] skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING` (huggingface#20790) Recompile `apex` in `DeepSpeed` CI image (huggingface#20788) Move convert_to_rgb to image_transforms module (huggingface#20784) Generate: use `GenerationConfig` as the basis for `.generate()` parametrization (huggingface#20388) Install video dependency for pipeline CI (huggingface#20777) Fixing object detection with `layoutlm` (huggingface#20776) [Pipeline] fix failing bloom `pipeline` test (huggingface#20778) Patch for FlanT5-XXL 8bit support (huggingface#20760) Install vision for TF pipeline tests (huggingface#20771) Even more validation. (huggingface#20762) Add Swin backbone (huggingface#20769) Install `torch-tensorrt 1.3.0` for DeepSpeed CI (huggingface#20764) Replaces xxx_required with requires_backends (huggingface#20715) [CI-Test] Fixes but also skips the mT5 tests (huggingface#20755) Fix attribute error problem (huggingface#20765) [Tests] Improve test_attention_outputs (huggingface#20701) Fix missing `()` in some usage of `is_flaky` (huggingface#20749) ...
What does this PR do?
Fixes #20776 better.
Reverts the previous PR.
The previous model was using a mix of LayoutLM and LayoutLMv2 leading to a bit of madness. The previous fix was wrong
because it made other pipelines try to load the feature extractor which might not have existed :(.
This fixes differently, by using another new models, and fixing it's config too.
Narsil/layoutlmv3-finetuned-funsdis a fork ofnielsr/layoutlmv3-finetuned-funsdwith thetokenizer_config.jsonfixed (to not use a Roberta tokenizer, but it's proper LayoutLMv3Tokenizer).Also modified the README.md to include examples in the widget, and force the pipeline_tag to be
object-detection.https://huggingface.co/Narsil/layoutlmv3-finetuned-funsd

Fixes # (issue)
Before submitting
Pull Request section?
to it if that's the case.
documentation guidelines, and
here are tips on formatting docstrings.
Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.