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modelscope/tests/pipelines/test_image_deblur.py

61 lines
2.4 KiB
Python

# Copyright (c) Alibaba, Inc. and its affiliates.
import unittest
from modelscope.hub.snapshot_download import snapshot_download
from modelscope.models import Model
from modelscope.outputs import OutputKeys
from modelscope.pipelines import pipeline
from modelscope.pipelines.cv import ImageDeblurPipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.test_utils import test_level
class ImageDenoiseTest(unittest.TestCase):
def setUp(self) -> None:
self.task = Tasks.image_deblurring
self.model_id = 'damo/cv_nafnet_image-deblur_gopro'
demo_image_path = 'data/test/images/GOPR0384_11_00-000001.png'
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
def test_run_by_direct_model_download(self):
cache_path = snapshot_download(self.model_id)
pipeline = ImageDeblurPipeline(cache_path)
pipeline.group_key = self.task
deblur_img = pipeline(
input=self.demo_image_path)[OutputKeys.OUTPUT_IMG] # BGR
h, w = deblur_img.shape[:2]
print('pipeline: the shape of output_img is {}x{}'.format(h, w))
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_run_with_model_from_modelhub(self):
model = Model.from_pretrained(self.model_id)
pipeline_ins = pipeline(task=Tasks.image_deblurring, model=model)
deblur_img = pipeline_ins(
input=self.demo_image_path)[OutputKeys.OUTPUT_IMG] # BGR
h, w = deblur_img.shape[:2]
print('pipeline: the shape of output_img is {}x{}'.format(h, w))
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
def test_run_with_model_name(self):
pipeline_ins = pipeline(
task=Tasks.image_deblurring, model=self.model_id)
deblur_img = pipeline_ins(
input=self.demo_image_path)[OutputKeys.OUTPUT_IMG] # BGR
h, w = deblur_img.shape[:2]
print('pipeline: the shape of output_img is {}x{}'.format(h, w))
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
def test_run_with_default_model(self):
pipeline_ins = pipeline(task=Tasks.image_deblurring)
deblur_img = pipeline_ins(
input=self.demo_image_path)[OutputKeys.OUTPUT_IMG] # BGR
h, w = deblur_img.shape[:2]
print('pipeline: the shape of output_img is {}x{}'.format(h, w))
if __name__ == '__main__':
unittest.main()