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Zero
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# Copyright (c) 2025 Ye Liu. Licensed under the BSD-3-Clause License.
import nncore
from videomind.dataset.hybrid import DATASETS
from videomind.dataset.wrappers import GroundingDataset
from videomind.utils.parser import parse_query
@DATASETS.register(name='qvhighlights')
class QVHighlightsDataset(GroundingDataset):
ANNO_PATH_TRAIN = 'data/qvhighlights/highlight_train_release.jsonl'
ANNO_PATH_VALID = 'data/qvhighlights/highlight_val_release.jsonl'
ANNO_PATH_TEST = 'data/qvhighlights/highlight_test_release.jsonl'
VIDEO_ROOT = 'data/qvhighlights/videos_3fps_480_noaudio'
UNIT = 2.0
@classmethod
def load_annos(self, split='train'):
if split == 'train':
raw_annos = nncore.load(self.ANNO_PATH_TRAIN)
elif split == 'valid':
raw_annos = nncore.load(self.ANNO_PATH_VALID)
else:
print('WARNING: Test split does not have ground truth annotations')
raw_annos = nncore.load(self.ANNO_PATH_TEST)
annos = []
for raw_anno in raw_annos:
vid = raw_anno['vid']
qid = raw_anno['qid']
anno = dict(
source='qvhighlights',
data_type='grounding',
video_path=nncore.join(self.VIDEO_ROOT, vid + '.mp4'),
duration=raw_anno['duration'],
query=parse_query(raw_anno['query']),
span=raw_anno.get('relevant_windows'),
vid=vid,
qid=qid)
annos.append(anno)
return annos
@DATASETS.register(name='qvhighlights_single')
class QVHighlightsSingleDataset(QVHighlightsDataset):
@classmethod
def load_annos(self, split='train'):
assert split == 'train'
raw_annos = nncore.load(self.ANNO_PATH_TRAIN)
annos = []
for raw_anno in raw_annos:
# skip samples with multiple moments
if len(raw_anno['relevant_windows']) > 1:
continue
vid = raw_anno['vid']
anno = dict(
source='qvhighlights_single',
data_type='grounding',
video_path=nncore.join(self.VIDEO_ROOT, vid + '.mp4'),
duration=raw_anno['duration'],
query=parse_query(raw_anno['query']),
span=raw_anno.get('relevant_windows'))
annos.append(anno)
return annos
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