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