refactor: all data
Browse files- .gitattributes +1 -0
- file_info.csv → data/high_quality_webcam_video_attacks.csv +0 -0
- live_videos/0001d815c0--61dd5f24a14d0d2b3b211c83.mp4 → data/videos.tar.gz +2 -2
- high_quality_webcam_video_attacks.py +88 -0
- live_videos/0001d815c0--61de4edf6292055ac305e885.mp4 +0 -3
- live_videos/0001d815c0--61e28d132e6cac25f79a3346.MOV +0 -3
- live_videos/0001d815c0--61ece94de8e9ba2b3bc01c59.mkv +0 -3
- live_videos/0001d815c0--61f276f01c8b5c57e89244a1.mp4 +0 -3
- live_videos/0001d815c0--61f5617b66629e059dbeaef5.webm +0 -3
- live_videos/0001d815c0--61f82a2956ef241fa1f94ff0.mp4 +0 -3
- live_videos/0001d815c0--6203fa2ad1a403449593c5cb.mp4 +0 -3
- live_videos/0001d815c0--620984e9f002b8749797ec67.mp4 +0 -3
- live_videos/0001db3fa7--61e8f5380569a62870798ef9.mp4 +0 -3
.gitattributes
CHANGED
@@ -62,3 +62,4 @@ live_videos/0001d815c0--61f82a2956ef241fa1f94ff0.mp4 filter=lfs diff=lfs merge=l
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live_videos/0001d815c0--6203fa2ad1a403449593c5cb.mp4 filter=lfs diff=lfs merge=lfs -text
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live_videos/0001d815c0--620984e9f002b8749797ec67.mp4 filter=lfs diff=lfs merge=lfs -text
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live_videos/0001db3fa7--61e8f5380569a62870798ef9.mp4 filter=lfs diff=lfs merge=lfs -text
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live_videos/0001d815c0--6203fa2ad1a403449593c5cb.mp4 filter=lfs diff=lfs merge=lfs -text
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live_videos/0001d815c0--620984e9f002b8749797ec67.mp4 filter=lfs diff=lfs merge=lfs -text
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live_videos/0001db3fa7--61e8f5380569a62870798ef9.mp4 filter=lfs diff=lfs merge=lfs -text
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data filter=lfs diff=lfs merge=lfs -text
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file_info.csv → data/high_quality_webcam_video_attacks.csv
RENAMED
File without changes
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live_videos/0001d815c0--61dd5f24a14d0d2b3b211c83.mp4 → data/videos.tar.gz
RENAMED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6fe0dfdf56eeb5aad7ca23c3240974c2c18d1fae83d3dcc37bc7fe558d16e5d
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size 623355125
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high_quality_webcam_video_attacks.py
ADDED
@@ -0,0 +1,88 @@
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import datasets
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import pandas as pd
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_CITATION = """\
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@InProceedings{huggingface:dataset,
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title = {high_quality_webcam_video_attacks},
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author = {TrainingDataPro},
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year = {2023}
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}
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"""
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_DESCRIPTION = """\
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The dataset is primarly intended to dentify and predict the positions of major
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joints of a human body in an image. It consists of people's photographs with
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body part labeled with keypoints.
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"""
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_NAME = 'high_quality_webcam_video_attacks'
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_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
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_LICENSE = "cc-by-nc-nd-4.0"
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_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
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class HighQualityWebcamVideoAttacks(datasets.GeneratorBasedBuilder):
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features({
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'video_file': datasets.Value('string'),
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'assignment_id': datasets.Value('string'),
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'worker_id': datasets.Value('string'),
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'gender': datasets.Value('string'),
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'age': datasets.Value('uint8'),
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'country': datasets.Value('string'),
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'resolution': datasets.Value('string')
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}),
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supervised_keys=None,
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homepage=_HOMEPAGE,
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citation=_CITATION,
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license=_LICENSE)
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def _split_generators(self, dl_manager):
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videos = dl_manager.download(f"{_DATA}videos.tar.gz")
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annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
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videos = dl_manager.iter_archive(videos)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN,
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gen_kwargs={
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"videos": videos,
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'annotations': annotations
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}),
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]
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def _generate_examples(self, videos, annotations):
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annotations_df = pd.read_csv(annotations, sep=',')
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for idx, (image_path, video) in enumerate(videos):
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file_name = image_path.split('/')[-1]
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assignment_id = file_name.split('.')[0]
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yield idx, {
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"video_file":
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file_name,
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'assignment_id':
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assignment_id,
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'worker_id':
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annotations_df.loc[
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annotations_df['assignment_id'] == assignment_id]
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['worker_id'].values[0],
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'gender':
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annotations_df.loc[
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annotations_df['assignment_id'] == assignment_id]
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['gender'].values[0],
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'age':
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annotations_df.loc[
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annotations_df['assignment_id'] == assignment_id]
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['age'].values[0],
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'country':
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annotations_df.loc[
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annotations_df['assignment_id'] == assignment_id]
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['country'].values[0],
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'resolution':
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annotations_df.loc[
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annotations_df['assignment_id'] == assignment_id]
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['resolution'].values[0]
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}
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live_videos/0001d815c0--61de4edf6292055ac305e885.mp4
DELETED
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version https://git-lfs.github.com/spec/v1
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oid sha256:583ee962e6c5e4f406dc2c083b5a43e43a605184004e164767ad7e2ae0a82566
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size 30703676
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live_videos/0001d815c0--61e28d132e6cac25f79a3346.MOV
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version https://git-lfs.github.com/spec/v1
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oid sha256:59d1a297c56e845417229ee505754e2f6f0fd3ffb36400b489bf7217f75bb905
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size 54247784
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live_videos/0001d815c0--61ece94de8e9ba2b3bc01c59.mkv
DELETED
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version https://git-lfs.github.com/spec/v1
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oid sha256:8410f693bf0ebfac2f40ed5d95e7bf0718f461d111501125b3433d07c1696a9d
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size 25606758
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live_videos/0001d815c0--61f276f01c8b5c57e89244a1.mp4
DELETED
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version https://git-lfs.github.com/spec/v1
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oid sha256:2806432bc6b7fac652d068ddc5070b22c7627958d80cb111672b8459f9d898cb
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size 36724015
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live_videos/0001d815c0--61f5617b66629e059dbeaef5.webm
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9101750b785d8fe46bedd90488c5a8efe2e70f782d2cdedbb845411865a355c
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size 27138944
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live_videos/0001d815c0--61f82a2956ef241fa1f94ff0.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c2472597e2895930c357d22cfe5433d1ab77321e60c930f76c768e4b9495988
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size 67986366
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live_videos/0001d815c0--6203fa2ad1a403449593c5cb.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:809319c877813055cceec3b78541678d9de08a7cf1630397f48113621317ad1c
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size 26046279
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live_videos/0001d815c0--620984e9f002b8749797ec67.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fe602ff1ffeb9ae43d0aa8a10c4bcb8de456fd1dc1bb711c471389bfbc7b042
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size 209650613
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live_videos/0001db3fa7--61e8f5380569a62870798ef9.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:a82c01bfb309a6870fc2e64a54647654be4741ec48b7496041afcfeacd109f03
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size 85351030
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