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test_video_captioning_from_frames_mapper.py
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test_video_captioning_from_frames_mapper.py
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import os
import unittest
from data_juicer.core.data import NestedDataset as Dataset
from data_juicer.ops.mapper.video_captioning_from_frames_mapper import \
VideoCaptioningFromFramesMapper
from data_juicer.utils.mm_utils import SpecialTokens
from data_juicer.utils.unittest_utils import (SKIPPED_TESTS,
DataJuicerTestCaseBase)
# Skip tests for this OP in the GitHub actions due to OOM on the current runner
# These tests have been tested locally.
@SKIPPED_TESTS.register_module()
class VideoCaptioningFromFramesMapperTest(DataJuicerTestCaseBase):
data_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..',
'data')
vid1_path = os.path.join(data_path, 'video1.mp4')
vid2_path = os.path.join(data_path, 'video2.mp4')
hf_img2seq = 'Salesforce/blip2-opt-2.7b'
@classmethod
def tearDownClass(cls) -> None:
super().tearDownClass(cls.hf_img2seq)
def _run_mapper(self, ds_list, op, num_proc=1, caption_num=0):
dataset = Dataset.from_list(ds_list)
dataset = dataset.map(op.process, num_proc=num_proc, with_rank=True)
dataset_list = dataset.select_columns(column_names=['text']).to_list()
# assert the caption is generated successfully in terms of not_none
# as the generated content is not deterministic
self.assertEqual(len(dataset_list), caption_num)
def test_default_params_no_eoc(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq)
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
def test_default_params_with_eoc(self):
ds_list = [
{
'text':
f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪'
f'{SpecialTokens.eoc}',
'videos': [self.vid1_path]
},
{
'text':
f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃{SpecialTokens.eoc}', # noqa: E501
'videos': [self.vid2_path]
}
]
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq)
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
def test_multi_candidate_keep_random_any(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
caption_num = 4
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
caption_num=caption_num,
keep_candidate_mode='random_any')
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
def test_multi_candidate_keep_all(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
caption_num = 4
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
caption_num=caption_num,
keep_candidate_mode='all')
self._run_mapper(ds_list,
op,
caption_num=(1 + caption_num) * len(ds_list))
def test_multi_candidate_keep_similar_one(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
caption_num = 4
op = VideoCaptioningFromFramesMapper(
hf_img2seq=self.hf_img2seq,
caption_num=caption_num,
keep_candidate_mode='similar_one_simhash')
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
def test_remove_original_sample(self):
ds_list = [
{
'text':
f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
},
{
'text':
f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃', # noqa: E501
'videos': [self.vid2_path]
}
]
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
keep_original_sample=False)
self._run_mapper(ds_list, op, caption_num=len(ds_list))
def test_multi_candidate_remove_original_sample(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
caption_num = 4
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
caption_num=caption_num,
keep_original_sample=False)
self._run_mapper(ds_list, op, caption_num=len(ds_list))
def test_multi_process(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}] * 10
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq)
self._run_mapper(ds_list, op, num_proc=4, caption_num=len(ds_list) * 2)
def test_multi_process_remove_original_sample(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}] * 10
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
keep_original_sample=False)
self._run_mapper(ds_list, op, num_proc=4, caption_num=len(ds_list))
def test_frame_sampling_method(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
frame_sampling_method='uniform')
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
def test_frame_num(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
frame_sampling_method='uniform',
frame_num=5)
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
def test_horizontal_flip(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
horizontal_flip=True)
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
def test_vertical_flip(self):
ds_list = [{
'text': f'{SpecialTokens.video}白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [self.vid1_path]
}, {
'text': f'{SpecialTokens.video}身穿白色上衣的男子，拿着一个东西，拍打自己的胃',
'videos': [self.vid2_path]
}]
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq,
vertical_flip=True)
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
def test_multi_tag(self):
ds_list = [{
'text': f'{SpecialTokens.video}{SpecialTokens.video}'
'白色的小羊站在一旁讲话。旁边还有两只灰色猫咪和一只拉着灰狼的猫咪',
'videos': [
self.vid1_path,
self.vid1_path,
]
}]
op = VideoCaptioningFromFramesMapper(hf_img2seq=self.hf_img2seq)
self._run_mapper(ds_list, op, caption_num=len(ds_list) * 2)
if __name__ == '__main__':
unittest.main()