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>

tests/pipelines/test_pipelines_feature_extraction.py

@@ -175,7 +175,7 @@ class FeatureExtractionPipelineTests(unittest.TestCase, metaclass=PipelineTestCa
             raise ValueError("We expect lists of floats, nothing else")
         return shape
 
-    def get_test_pipeline(self, model, tokenizer, feature_extractor):
+    def get_test_pipeline(self, model, tokenizer, feature_extractor, image_processor):
         if tokenizer is None:
             self.skipTest("No tokenizer")
             return