# Copyright (c) Alibaba, Inc. and its affiliates. import os.path as osp import unittest import cv2 from modelscope.hub.snapshot_download import snapshot_download from modelscope.outputs import OutputKeys from modelscope.pipelines import pipeline from modelscope.pipelines.base import Pipeline from modelscope.utils.constant import Tasks from modelscope.utils.demo_utils import DemoCompatibilityCheck from modelscope.utils.test_utils import test_level class ImageBodyReshapingTest(unittest.TestCase, DemoCompatibilityCheck): def setUp(self) -> None: self.task = Tasks.image_body_reshaping self.model_id = 'damo/cv_flow-based-body-reshaping_damo' self.test_image = 'data/test/images/image_body_reshaping.jpg' def pipeline_inference(self, pipeline: Pipeline, input_location: str): result = pipeline(input_location) if result is not None: cv2.imwrite('result_bodyreshaping.png', result[OutputKeys.OUTPUT_IMG]) print( f'Output written to {osp.abspath("result_body_reshaping.png")}' ) else: raise Exception('Testing failed: invalid output') @unittest.skipUnless(test_level() >= 2, 'skip test in current test level') def test_run_by_direct_model_download(self): model_dir = snapshot_download(self.model_id) image_body_reshaping = pipeline( Tasks.image_body_reshaping, model=model_dir) self.pipeline_inference(image_body_reshaping, self.test_image) @unittest.skipUnless(test_level() >= 0, 'skip test in current test level') def test_run_modelhub(self): image_body_reshaping = pipeline( Tasks.image_body_reshaping, model=self.model_id) self.pipeline_inference(image_body_reshaping, self.test_image) @unittest.skipUnless(test_level() >= 2, 'skip test in current test level') def test_run_modelhub_default_model(self): image_body_reshaping = pipeline(Tasks.image_body_reshaping) self.pipeline_inference(image_body_reshaping, self.test_image) @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()