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modelscope/tests/pipelines/test_realtime_object_detection.py

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# Copyright (c) Alibaba, Inc. and its affiliates.
import unittest
import cv2
from modelscope.outputs import OutputKeys
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.cv.image_utils import realtime_object_detection_bbox_vis
from modelscope.utils.demo_utils import DemoCompatibilityCheck
from modelscope.utils.test_utils import test_level
class RealtimeObjectDetectionTest(unittest.TestCase, DemoCompatibilityCheck):
def setUp(self) -> None:
self.model_id = 'damo/cv_cspnet_image-object-detection_yolox'
self.model_nano_id = 'damo/cv_cspnet_image-object-detection_yolox_nano_coco'
self.test_image = 'data/test/images/keypoints_detect/000000438862.jpg'
self.task = Tasks.image_object_detection
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
def test_run_modelhub(self):
realtime_object_detection = pipeline(
Tasks.image_object_detection, model=self.model_id)
image = cv2.imread(self.test_image)
result = realtime_object_detection(image)
if result:
bboxes = result[OutputKeys.BOXES].astype(int)
image = realtime_object_detection_bbox_vis(image, bboxes)
cv2.imwrite('rt_obj_out.jpg', image)
else:
raise ValueError('process error')
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
def test_run_nano(self):
realtime_object_detection = pipeline(
Tasks.image_object_detection, model=self.model_nano_id)
image = cv2.imread(self.test_image)
result = realtime_object_detection(image)
if result:
bboxes = result[OutputKeys.BOXES].astype(int)
image = realtime_object_detection_bbox_vis(image, bboxes)
cv2.imwrite('rtnano_obj_out.jpg', image)
else:
raise ValueError('process error')
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
def test_demo_compatibility(self):
self.compatibility_check()
if __name__ == '__main__':
unittest.main()