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

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* 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
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tests/pipelines/test_pipelines_image_classification.py
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@@ -49,7 +49,7 @@ class ImageClassificationPipelineTests(unittest.TestCase, metaclass=PipelineTest
model_mapping = MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
tf_model_mapping = TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
def get_test_pipeline(self, model, tokenizer, feature_extractor):
def get_test_pipeline(self, model, tokenizer, feature_extractor, image_processor):
image_classifier = ImageClassificationPipeline(model=model, feature_extractor=feature_extractor, top_k=2)
examples = [
Image.open("./tests/fixtures/tests_samples/COCO/000000039769.png"),