mirror of
https://github.com/modelscope/modelscope.git
synced 2025-12-18 01:07:44 +01:00
a1688f5775
1. build preprocessor for pipeline automatically if preprocessor is configed in configuration.json 2. refactor scrfd_detect.py as a standard cv model code 3. refacotr card_detection_pipeline face_detection_pipeline as standard pipeline code Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11057557
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
|
|
import os.path as osp
|
|
import unittest
|
|
|
|
import cv2
|
|
|
|
from modelscope.pipelines import pipeline
|
|
from modelscope.utils.constant import Tasks
|
|
from modelscope.utils.cv.image_utils import draw_face_detection_no_lm_result
|
|
from modelscope.utils.test_utils import test_level
|
|
|
|
|
|
class MogFaceDetectionTest(unittest.TestCase):
|
|
|
|
def setUp(self) -> None:
|
|
self.model_id = 'damo/cv_resnet101_face-detection_cvpr22papermogface'
|
|
|
|
def show_result(self, img_path, detection_result):
|
|
img = draw_face_detection_no_lm_result(img_path, detection_result)
|
|
cv2.imwrite('result.png', img)
|
|
print(f'output written to {osp.abspath("result.png")}')
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_run_modelhub(self):
|
|
face_detection = pipeline(Tasks.face_detection, model=self.model_id)
|
|
img_path = 'data/test/images/mog_face_detection.jpg'
|
|
|
|
result = face_detection(img_path)
|
|
self.show_result(img_path, result)
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_run_default_model(self):
|
|
face_detection = pipeline(Tasks.face_detection)
|
|
img_path = 'data/test/images/mog_face_detection.jpg'
|
|
|
|
result = face_detection(img_path)
|
|
self.show_result(img_path, result)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|