Add automatic-mask-generation pipeline for Segment Anything Model (SAM) (#22840)

* cleanup

* updates

* more refactoring

* make style

* update inits

* support other inputs in base

* update based on review

Co-authored-by: Nicolas Patry <patry.nicolas@gmail.com>

* Update tests/pipelines/test_pipelines_automatic_mask_generation.py

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* update

* fixup

* TODO x and y to refactor, _h _w refactored here

* update docstring

* more nits

* style on these

* more doc fix

* rename variables

* update

* updates

* style

* update

* fix `_mask_to_rle_pytorch`

* styling

* fix ask to rle, wrong outputs

* add device arg

* update

* more updates, fix tets

* udpate

* update docstrings

* styling

* fixup

* add notebook on the docs

* update orginal sizes

* fix docstring

* updat condition on point_per-batch

* updates tests

* fix CI  test

* extend is required, append does not work!

* fixup

* fix CI tests

* whit pixels left

* address doc comments

* fix doc

* slow pipeline tests

* update auto init

* add revision

* make fixup

* update p!ipoeline tag when calling tests

* alphabeitcal order in inits

* fix copies

* last style nits

* Apply suggestions from code review

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

* reformat docstring

* more reformat

* address most of the comments

* Update src/transformers/pipelines/mask_generation.py

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

* final refactor

* Update src/transformers/models/sam/image_processing_sam.py

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

* fixup and fix slow tests

* revert

---------

Co-authored-by: Nicolas Patry <patry.nicolas@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

tests/models/sam/test_modeling_sam.py

@@ -464,8 +464,8 @@ class SamModelIntegrationTest(unittest.TestCase):
         self.assertTrue(torch.allclose(scores[-1], torch.tensor(0.5798), atol=1e-4))
 
     def test_inference_mask_generation_one_point_one_bb(self):
-        model = SamModel.from_pretrained("facebook/sam-vit-h")
-        processor = SamProcessor.from_pretrained("facebook/sam-vit-h")
+        model = SamModel.from_pretrained("facebook/sam-vit-huge")
+        processor = SamProcessor.from_pretrained("facebook/sam-vit-huge")
 
         model.to(torch_device)
         model.eval()