Files
modelscope/tests/pipelines/test_general_image_classification.py
zhanning.gzn 81718bd643 [to #42322933] Add image-classification-imagenet and image-classification-dailylife pipelines
*Add image-classification-imagenet and image-classification-dailylife pipelines
*Add models.cv.mmcls_model.ClassificaitonModel as a wrapper class for mmcls
2022-07-27 22:29:13 +08:00

43 lines
1.6 KiB
Python

import unittest
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.test_utils import test_level
class GeneralImageClassificationTest(unittest.TestCase):
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_run_ImageNet(self):
general_image_classification = pipeline(
Tasks.image_classification_imagenet,
model='damo/cv_vit-base_image-classification_ImageNet-labels')
result = general_image_classification('data/test/images/bird.JPEG')
print(result)
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_run_Dailylife(self):
general_image_classification = pipeline(
Tasks.image_classification_dailylife,
model='damo/cv_vit-base_image-classification_Dailylife-labels')
result = general_image_classification('data/test/images/bird.JPEG')
print(result)
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_run_ImageNet_default_task(self):
general_image_classification = pipeline(
Tasks.image_classification_imagenet)
result = general_image_classification('data/test/images/bird.JPEG')
print(result)
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_run_Dailylife_default_task(self):
general_image_classification = pipeline(
Tasks.image_classification_dailylife)
result = general_image_classification('data/test/images/bird.JPEG')
print(result)
if __name__ == '__main__':
unittest.main()