ModelScope/tests/pipelines/test_body_2d_keypoints.py

# Copyright (c) Alibaba, Inc. and its affiliates.
import unittest

import cv2
import numpy as np
from PIL import Image

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.cv.image_utils import draw_keypoints
from modelscope.utils.test_utils import test_level


class Body2DKeypointsTest(unittest.TestCase):

    def setUp(self) -> None:
        self.model_id = 'damo/cv_hrnetv2w32_body-2d-keypoints_image'
        self.test_image = 'data/test/images/keypoints_detect/000000438862.jpg'

    def pipeline_inference(self, pipeline: Pipeline, pipeline_input):
        output = pipeline(pipeline_input)
        image = draw_keypoints(output, self.test_image)
        cv2.imwrite('pose_keypoint.jpg', image)

    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
    def test_run_modelhub_with_image_file(self):
        body_2d_keypoints = pipeline(
            Tasks.body_2d_keypoints, model=self.model_id)
        self.pipeline_inference(body_2d_keypoints, self.test_image)

    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
    def test_run_modelhub_with_image_input(self):
        body_2d_keypoints = pipeline(
            Tasks.body_2d_keypoints, model=self.model_id)
        self.pipeline_inference(body_2d_keypoints, Image.open(self.test_image))


if __name__ == '__main__':
    unittest.main()