Add image to image pipeline (#25393)

* Add image to image pipeline Add image to image pipeline * remove swin2sr from tf auto * make ImageToImage importable * make style make style make style make style * remove tf support * remove nonused imports * fix postprocessing * add important comments; add unit tests * add documentation * remove support for TF * make fixup * fix typehint Image.Image * fix documentation code * address review request; fix unittest type checking * address review request; fix unittest type checking * make fixup * address reviews * Update src/transformers/pipelines/image_to_image.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * enhance docs * make style * make style * improve docetest time * improve docetest time * Update tests/pipelines/test_pipelines_image_to_image.py Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> * Update tests/pipelines/test_pipelines_image_to_image.py Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> * make fixup * undo faulty merge * undo faulty merge * add image-to-image to test pipeline mixin * Update src/transformers/pipelines/image_to_image.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/pipelines/test_pipelines_image_to_image.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * improve docs --------- Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2023-09-22 13:53:55 -03:00
parent 914771cbfe
commit 576cd45a57
11 changed files with 275 additions and 1 deletions
--- a/tests/pipelines/test_pipelines_image_to_image.py
+++ b/tests/pipelines/test_pipelines_image_to_image.py
@@ -0,0 +1,85 @@
+# Copyright 2023 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+from transformers import (
+    MODEL_FOR_IMAGE_TO_IMAGE_MAPPING,
+    AutoImageProcessor,
+    AutoModelForImageToImage,
+    ImageToImagePipeline,
+    is_vision_available,
+    pipeline,
+)
+from transformers.testing_utils import (
+    is_pipeline_test,
+    require_torch,
+    require_vision,
+    slow,
+)
+
+
+if is_vision_available():
+    from PIL import Image
+
+else:
+
+    class Image:
+        @staticmethod
+        def open(*args, **kwargs):
+            pass
+
+
+@is_pipeline_test
+@require_torch
+@require_vision
+class ImageToImagePipelineTests(unittest.TestCase):
+    model_mapping = MODEL_FOR_IMAGE_TO_IMAGE_MAPPING
+    examples = [
+        Image.open("./tests/fixtures/tests_samples/COCO/000000039769.png"),
+        "http://images.cocodataset.org/val2017/000000039769.jpg",
+    ]
+
+    @require_torch
+    @require_vision
+    @slow
+    def test_pipeline(self):
+        model_id = "caidas/swin2SR-classical-sr-x2-64"
+        upscaler = pipeline("image-to-image", model=model_id)
+        upscaled_list = upscaler(self.examples)
+
+        self.assertEqual(len(upscaled_list), len(self.examples))
+        for output in upscaled_list:
+            self.assertIsInstance(output, Image.Image)
+
+        self.assertEqual(upscaled_list[0].size, (1296, 976))
+        self.assertEqual(upscaled_list[1].size, (1296, 976))
+
+    @require_torch
+    @require_vision
+    @slow
+    def test_pipeline_model_processor(self):
+        model_id = "caidas/swin2SR-classical-sr-x2-64"
+        model = AutoModelForImageToImage.from_pretrained(model_id)
+        image_processor = AutoImageProcessor.from_pretrained(model_id)
+
+        upscaler = ImageToImagePipeline(model=model, image_processor=image_processor)
+        upscaled_list = upscaler(self.examples)
+
+        self.assertEqual(len(upscaled_list), len(self.examples))
+        for output in upscaled_list:
+            self.assertIsInstance(output, Image.Image)
+
+        self.assertEqual(upscaled_list[0].size, (1296, 976))
+        self.assertEqual(upscaled_list[1].size, (1296, 976))