# 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 BadImageDetecingPipeline from modelscope.utils.constant import Tasks from modelscope.utils.test_utils import test_level class BadImageDetectingTest(unittest.TestCase): def setUp(self) -> None: self.task = Tasks.bad_image_detecting self.model_id = 'damo/cv_mobilenet-v2_bad-image-detecting' self.test_img = 'data/test/images/dogs.jpg' @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 = BadImageDetecingPipeline(cache_path) pipeline.group_key = self.task out = pipeline(input=self.test_img) labels = out[OutputKeys.LABELS] scores = out[OutputKeys.SCORES] print('pipeline: the out_label is {}'.format(labels)) print('pipeline: the out_score is {}'.format(scores)) @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.bad_image_detecting, model=model) out = pipeline_ins(input=self.test_img) labels = out[OutputKeys.LABELS] scores = out[OutputKeys.SCORES] print('pipeline: the out_label is {}'.format(labels)) print('pipeline: the out_score is {}'.format(scores)) @unittest.skipUnless(test_level() >= 0, 'skip test in current test level') def test_run_with_model_name(self): pipeline_ins = pipeline( task=Tasks.bad_image_detecting, model=self.model_id) out = pipeline_ins(input=self.test_img) labels = out[OutputKeys.LABELS] scores = out[OutputKeys.SCORES] print('pipeline: the out_label is {}'.format(labels)) print('pipeline: the out_score is {}'.format(scores)) @unittest.skipUnless(test_level() >= 2, 'skip test in current test level') def test_run_with_default_model(self): pipeline_ins = pipeline(task=Tasks.bad_image_detecting) out = pipeline_ins(input=self.test_img) labels = out[OutputKeys.LABELS] scores = out[OutputKeys.SCORES] print('pipeline: the out_label is {}'.format(labels)) print('pipeline: the out_score is {}'.format(scores)) if __name__ == '__main__': unittest.main()