# 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 ImageDenoisePipeline from modelscope.utils.constant import Tasks from modelscope.utils.demo_utils import DemoCompatibilityCheck from modelscope.utils.test_utils import test_level class ImageDenoiseTest(unittest.TestCase, DemoCompatibilityCheck): def setUp(self) -> None: self.task = Tasks.image_denoising self.model_id = 'damo/cv_nafnet_image-denoise_sidd' demo_image_path = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/images/noisy-demo-0.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 = ImageDenoisePipeline(cache_path) pipeline.group_key = self.task denoise_img = pipeline( input=self.demo_image_path)[OutputKeys.OUTPUT_IMG] # BGR h, w = denoise_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_from_modelhub(self): model = Model.from_pretrained(self.model_id) pipeline_ins = pipeline(task=Tasks.image_denoising, model=model) denoise_img = pipeline_ins( input=self.demo_image_path)[OutputKeys.OUTPUT_IMG] # BGR h, w = denoise_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_name(self): pipeline_ins = pipeline( task=Tasks.image_denoising, model=self.model_id) denoise_img = pipeline_ins( input=self.demo_image_path)[OutputKeys.OUTPUT_IMG] # BGR h, w = denoise_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_denoising) denoise_img = pipeline_ins( input=self.demo_image_path)[OutputKeys.OUTPUT_IMG] # BGR h, w = denoise_img.shape[:2] print('pipeline: the shape of output_img is {}x{}'.format(h, w)) @unittest.skip('demo compatibility test is only enabled on a needed-basis') def test_demo_compatibility(self): self.compatibility_check() if __name__ == '__main__': unittest.main()