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0b972ef b6d51e2 0b972ef b6d51e2 0b972ef | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 | # Copyright 2023 Thinh T. Duong
import os
import datasets
from glob import glob
logger = datasets.logging.get_logger(__name__)
_CITATION = """
"""
_DESCRIPTION = """
"""
_HOMEPAGE = "https://how2sign.github.io/index.html"
_REPO_URL = "https://huggingface.co/datasets/VieSignLang/how2sign-clips/resolve/main"
_URLS = {
"meta": os.path.join(_REPO_URL, "how2sign_realigned_{split}.csv"),
"videos": os.path.join(_REPO_URL, "{split}_{subset}/*.zip"),
}
class How2SignConfig(datasets.BuilderConfig):
"""How2Sign configuration."""
def __init__(self, name, **kwargs):
"""
:param name: Name of subset.
:param kwargs: Arguments.
"""
super(How2SignConfig, self).__init__(
name=name,
version=datasets.Version("1.0.0"),
description=_DESCRIPTION,
**kwargs,
)
class How2Sign(datasets.GeneratorBasedBuilder):
"""How2Sign dataset."""
BUILDER_CONFIGS = [
How2SignConfig(name="raw_videos"),
How2SignConfig(name="rgb_side_raw_videos"),
How2SignConfig(name="rgb_front_clips"),
How2SignConfig(name="rgb_side_clips"),
How2SignConfig(name="2D_keypoints"),
]
DEFAULT_CONFIG_NAME = "rgb_front_clips"
def _info(self) -> datasets.DatasetInfo:
features = datasets.Features({
"VIDEO_ID": datasets.Value("string"),
"VIDEO_NAME": datasets.Value("string"),
"SENTENCE_ID": datasets.Value("string"),
"SENTENCE_NAME": datasets.Value("string"),
"START_REALIGNED": datasets.Value("float64"),
"END_REALIGNED": datasets.Value("float64"),
"SENTENCE": datasets.Value("string"),
"VIDEO": datasets.Value("string"),
})
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(
self, dl_manager: datasets.DownloadManager
) -> list[datasets.SplitGenerator]:
"""
Get splits.
:param dl_manager: Download manager.
:return: Splits.
"""
split_dict = {
"train": datasets.Split.TRAIN,
"test": datasets.Split.TEST,
"val": datasets.Split.VALIDATION,
}
return [
datasets.SplitGenerator(
name=name,
gen_kwargs={
"metadata_path": dl_manager.download(
_URLS["meta"].format(split=split)
),
"video_dirs": dl_manager.download_and_extract(
glob(
_URLS["videos"].format(
split=split,
subset=self.config.name,
)
)
),
},
)
for split, name in split_dict.items()
]
def _generate_examples(
self, metadata_path: str,
video_dirs: list[str],
) -> tuple[int, dict]:
"""
Generate examples from metadata.
:param metadata_path: Path to metadata.
:param visual_dirs: Directories of videos.
:yield: Example.
"""
split = datasets.load_dataset(
"csv",
data_files=metadata_path,
split="train",
delimeter="\t",
)
for i, sample in enumerate(split):
for video_dir in video_dirs:
if self.config.name in ["raw_videos", "rgb_side_raw_videos"]:
video_path = os.path.join(video_dir, sample["VIDEO_NAME"] + ".mp4")
else:
video_path = os.path.join(video_dir, sample["SENTENCE_NAME"] + ".mp4")
if os.path.exists(video_path):
yield i, {
"VIDEO_ID": sample["VIDEO_ID"],
"VIDEO_NAME": sample["VIDEO_NAME"],
"SENTENCE_ID": sample["SENTENCE_ID"],
"SENTENCE_NAME": sample["SENTENCE_NAME"],
"START_REALIGNED": sample["START_REALIGNED"],
"END_REALIGNED": sample["END_REALIGNED"],
"SENTENCE": sample["SENTENCE"],
"VIDEO": video_path,
}
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