mirror of
https://github.com/modelscope/modelscope.git
synced 2025-12-17 00:37:43 +01:00
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
|
|
import unittest
|
|
|
|
from modelscope.pipelines import pipeline
|
|
from modelscope.utils.constant import Tasks
|
|
from modelscope.utils.test_utils import test_level
|
|
|
|
|
|
class ActionRecognitionTest(unittest.TestCase):
|
|
|
|
def setUp(self) -> None:
|
|
self.task = Tasks.action_recognition
|
|
self.model_id = 'damo/cv_TAdaConv_action-recognition'
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_run_modelhub(self):
|
|
recognition_pipeline = pipeline(self.task, self.model_id)
|
|
result = recognition_pipeline(
|
|
'data/test/videos/action_recognition_test_video.mp4')
|
|
|
|
print(f'recognition output: {result}.')
|
|
|
|
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
|
|
def test_run_modelhub_default_model(self):
|
|
recognition_pipeline = pipeline(self.task)
|
|
result = recognition_pipeline(
|
|
'data/test/videos/action_recognition_test_video.mp4')
|
|
|
|
print(f'recognition output: {result}.')
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_run_pst(self):
|
|
pst_recognition_pipeline = pipeline(
|
|
self.task, model='damo/cv_pathshift_action-recognition')
|
|
result = pst_recognition_pipeline(
|
|
'data/test/videos/action_recognition_test_video.mp4')
|
|
print('pst recognition results:', result)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|