SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Add Fast PVT Processor (#37204)

Browse Source 
* Add Fast PVT Processor

* Update image_processing_pvt_fast.py

* Update image_processing_pvt_fast.py

* remove kwargs

---------

Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
This commit is contained in:
Parteek
2025-04-24 01:25:20 +05:30
committed by GitHub
parent 19e9079dc1
commit b491f128d6
5 changed files with 69 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

28
tests/models/pvt/test_image_processing_pvt.py
View File

@@ -16,7 +16,7 @@
import unittest
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_vision_available
from transformers.utils import is_torchvision_available, is_vision_available
from ...test_image_processing_common import ImageProcessingTestMixin, prepare_image_inputs
@@ -24,6 +24,9 @@ from ...test_image_processing_common import ImageProcessingTestMixin, prepare_im
if is_vision_available():
from transformers import PvtImageProcessor
if is_torchvision_available():
from transformers import PvtImageProcessorFast
class PvtImageProcessingTester:
def __init__(
@@ -81,6 +84,7 @@ class PvtImageProcessingTester:
@require_vision
class PvtImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
image_processing_class = PvtImageProcessor if is_vision_available() else None
fast_image_processing_class = PvtImageProcessorFast if is_torchvision_available() else None
def setUp(self):
super().setUp()
@@ -91,16 +95,18 @@ class PvtImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
return self.image_processor_tester.prepare_image_processor_dict()
def test_image_processor_properties(self):
image_processing = self.image_processing_class(**self.image_processor_dict)
self.assertTrue(hasattr(image_processing, "image_mean"))
self.assertTrue(hasattr(image_processing, "image_std"))
self.assertTrue(hasattr(image_processing, "do_normalize"))
self.assertTrue(hasattr(image_processing, "do_resize"))
self.assertTrue(hasattr(image_processing, "size"))
for image_processing_class in self.image_processor_list:
image_processing = image_processing_class(**self.image_processor_dict)
self.assertTrue(hasattr(image_processing, "image_mean"))
self.assertTrue(hasattr(image_processing, "image_std"))
self.assertTrue(hasattr(image_processing, "do_normalize"))
self.assertTrue(hasattr(image_processing, "do_resize"))
self.assertTrue(hasattr(image_processing, "size"))
def test_image_processor_from_dict_with_kwargs(self):
image_processor = self.image_processing_class.from_dict(self.image_processor_dict)
self.assertEqual(image_processor.size, {"height": 18, "width": 18})
for image_processing_class in self.image_processor_list:
image_processor = image_processing_class.from_dict(self.image_processor_dict)
self.assertEqual(image_processor.size, {"height": 18, "width": 18})
image_processor = self.image_processing_class.from_dict(self.image_processor_dict, size=42)
self.assertEqual(image_processor.size, {"height": 42, "width": 42})
image_processor = image_processing_class.from_dict(self.image_processor_dict, size=42)
self.assertEqual(image_processor.size, {"height": 42, "width": 42})