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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 | |
class QuerYDDataset(GroundingDataset): | |
VID_PATH = 'data/queryd/train_list.txt' | |
QUERY_PATH = 'data/queryd/raw_captions_combined_filtered-v2.pkl' | |
SPAN_PATH = 'data/queryd/times_captions_combined_filtered-v2.pkl' | |
VIDEO_ROOT = 'data/queryd/videos_3fps_480_noaudio' | |
DURATIONS = 'data/queryd/durations.json' | |
UNIT = 0.001 | |
def load_annos(self, split='train'): | |
assert split == 'train' | |
vids = nncore.load(self.VID_PATH) | |
queries = nncore.load(self.QUERY_PATH) | |
spans = nncore.load(self.SPAN_PATH) | |
durations = nncore.load(self.DURATIONS) | |
annos = [] | |
for vid in vids: | |
for query, span in zip(queries[vid], spans[vid]): | |
video_name = vid[6:] | |
if video_name not in durations: | |
continue | |
anno = dict( | |
source='queryd', | |
data_type='grounding', | |
video_path=nncore.join(self.VIDEO_ROOT, video_name + '.mp4'), | |
duration=durations[video_name], | |
query=parse_query(' '.join(query)), | |
span=[span]) | |
annos.append(anno) | |
return annos | |