# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved. import unittest from modelscope.pipelines import pipeline from modelscope.pipelines.base import Pipeline from modelscope.utils.constant import Tasks from modelscope.utils.logger import get_logger from modelscope.utils.test_utils import test_level logger = get_logger() class FaceHumanHandTest(unittest.TestCase): def setUp(self) -> None: self.model_id = 'damo/cv_nanodet_face-human-hand-detection' self.input = { 'input_path': 'data/test/images/face_human_hand_detection.jpg', } def pipeline_inference(self, pipeline: Pipeline, input: str): result = pipeline(input) logger.info(result) @unittest.skipUnless(test_level() >= 0, 'skip test in current test level') def test_run_modelhub(self): face_human_hand_detection = pipeline( Tasks.face_human_hand_detection, model=self.model_id) self.pipeline_inference(face_human_hand_detection, self.input) @unittest.skipUnless(test_level() >= 2, 'skip test in current test level') def test_run_modelhub_default_model(self): face_human_hand_detection = pipeline(Tasks.face_human_hand_detection) self.pipeline_inference(face_human_hand_detection, self.input) if __name__ == '__main__': unittest.main()