mirror of
https://gitcode.com/gh_mirrors/eas/EasyFace.git
synced 2025-12-30 04:52:28 +00:00
74 lines
3.0 KiB
Python
74 lines
3.0 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
|
|
import os
|
|
import shutil
|
|
import tempfile
|
|
import unittest
|
|
|
|
from modelscope.hub.snapshot_download import snapshot_download
|
|
from modelscope.models.cv.video_summarization import PGLVideoSummarization
|
|
from modelscope.msdatasets.task_datasets import VideoSummarizationDataset
|
|
from modelscope.trainers import build_trainer
|
|
from modelscope.utils.config import Config
|
|
from modelscope.utils.constant import ModelFile
|
|
from modelscope.utils.logger import get_logger
|
|
from modelscope.utils.test_utils import test_level
|
|
|
|
logger = get_logger()
|
|
|
|
|
|
class VideoSummarizationTrainerTest(unittest.TestCase):
|
|
def setUp(self):
|
|
print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
|
|
self.tmp_dir = tempfile.TemporaryDirectory().name
|
|
if not os.path.exists(self.tmp_dir):
|
|
os.makedirs(self.tmp_dir)
|
|
|
|
self.model_id = 'damo/cv_googlenet_pgl-video-summarization'
|
|
self.cache_path = snapshot_download(self.model_id)
|
|
self.config = Config.from_file(
|
|
os.path.join(self.cache_path, ModelFile.CONFIGURATION))
|
|
self.dataset_train = VideoSummarizationDataset('train',
|
|
self.config.dataset,
|
|
self.cache_path)
|
|
self.dataset_val = VideoSummarizationDataset('test',
|
|
self.config.dataset,
|
|
self.cache_path)
|
|
|
|
def tearDown(self):
|
|
shutil.rmtree(self.tmp_dir, ignore_errors=True)
|
|
super().tearDown()
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_trainer(self):
|
|
kwargs = dict(model=self.model_id,
|
|
train_dataset=self.dataset_train,
|
|
eval_dataset=self.dataset_val,
|
|
work_dir=self.tmp_dir)
|
|
trainer = build_trainer(default_args=kwargs)
|
|
trainer.train()
|
|
results_files = os.listdir(self.tmp_dir)
|
|
self.assertIn(f'{trainer.timestamp}.log.json', results_files)
|
|
for i in range(2):
|
|
self.assertIn(f'epoch_{i+1}.pth', results_files)
|
|
|
|
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
|
|
def test_trainer_with_model_and_args(self):
|
|
model = PGLVideoSummarization.from_pretrained(self.cache_path)
|
|
kwargs = dict(cfg_file=os.path.join(self.cache_path,
|
|
ModelFile.CONFIGURATION),
|
|
model=model,
|
|
train_dataset=self.dataset_train,
|
|
eval_dataset=self.dataset_val,
|
|
max_epochs=2,
|
|
work_dir=self.tmp_dir)
|
|
trainer = build_trainer(default_args=kwargs)
|
|
trainer.train()
|
|
results_files = os.listdir(self.tmp_dir)
|
|
self.assertIn(f'{trainer.timestamp}.log.json', results_files)
|
|
for i in range(2):
|
|
self.assertIn(f'epoch_{i+1}.pth', results_files)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|