mirror of
https://github.com/modelscope/modelscope.git
synced 2025-12-19 09:39:23 +01:00
49 lines
2.1 KiB
Python
49 lines
2.1 KiB
Python
|
# Copyright (c) Alibaba, Inc. and its affiliates.
|
||
|
|
import unittest
|
||
|
|
|
||
|
|
from modelscope.models import Model
|
||
|
|
from modelscope.outputs import OutputKeys
|
||
|
|
from modelscope.pipelines import pipeline
|
||
|
|
from modelscope.utils.constant import Tasks
|
||
|
|
from modelscope.utils.demo_utils import DemoCompatibilityCheck
|
||
|
|
from modelscope.utils.test_utils import test_level
|
||
|
|
|
||
|
|
|
||
|
|
class ImageHumanParsingTest(unittest.TestCase, DemoCompatibilityCheck):
|
||
|
|
|
||
|
|
def setUp(self) -> None:
|
||
|
|
self.task = Tasks.image_segmentation
|
||
|
|
self.model_id_single = 'damo/cv_resnet101_image-single-human-parsing'
|
||
|
|
self.model_id_multiple = 'damo/cv_resnet101_image-multiple-human-parsing'
|
||
|
|
|
||
|
|
image_single = 'data/test/images/image_single_human_parsing.jpg'
|
||
|
|
image_multiple = 'data/test/images/image_multiple_human_parsing.jpg'
|
||
|
|
|
||
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
||
|
|
def test_run_with_model_name(self):
|
||
|
|
pipeline_parsing = pipeline(
|
||
|
|
task=Tasks.image_segmentation, model=self.model_id_single)
|
||
|
|
print(pipeline_parsing(input=self.image_single)[OutputKeys.LABELS])
|
||
|
|
pipeline_parsing = pipeline(
|
||
|
|
task=Tasks.image_segmentation, model=self.model_id_multiple)
|
||
|
|
print(pipeline_parsing(input=self.image_multiple)[OutputKeys.LABELS])
|
||
|
|
|
||
|
|
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
|
||
|
|
def test_run_with_model_from_modelhub(self):
|
||
|
|
model = Model.from_pretrained(self.model_id_single)
|
||
|
|
pipeline_parsing = pipeline(
|
||
|
|
task=Tasks.image_segmentation, model=model, preprocessor=None)
|
||
|
|
print(pipeline_parsing(input=self.image_single)[OutputKeys.LABELS])
|
||
|
|
model = Model.from_pretrained(self.model_id_multiple)
|
||
|
|
pipeline_parsing = pipeline(
|
||
|
|
task=Tasks.image_segmentation, model=model, preprocessor=None)
|
||
|
|
print(pipeline_parsing(input=self.image_multiple)[OutputKeys.LABELS])
|
||
|
|
|
||
|
|
@unittest.skip('demo compatibility test is only enabled on a needed-basis')
|
||
|
|
def test_demo_compatibility(self):
|
||
|
|
self.compatibility_check()
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
unittest.main()
|