Supporting ImageProcessor in place of FeatureExtractor for pipelines (#20851)

* Fixing the pipeline with image processor.

* Update the slow test.

* Using only the first image processor.

* Include exclusion mecanism for Image processor.

* Do not handle Gitconfig, deemed as a bug.

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Remove `conversational` changes. They are not supposed to be here.

* Address first row of comments.

* Remove OneFormer modifications.

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
This commit is contained in:
Nicolas Patry
2023-01-25 10:16:31 +01:00
committed by GitHub
parent efdbad56ab
commit 99e7905422
28 changed files with 138 additions and 47 deletions

View File

@@ -36,7 +36,7 @@ else:
class VisualQuestionAnsweringPipelineTests(unittest.TestCase, metaclass=PipelineTestCaseMeta):
model_mapping = MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING
def get_test_pipeline(self, model, tokenizer, feature_extractor):
def get_test_pipeline(self, model, tokenizer, feature_extractor, image_processor):
vqa_pipeline = pipeline("visual-question-answering", model="hf-internal-testing/tiny-vilt-random-vqa")
examples = [
{