refactor: all data feat: upload script

2d-printed_masks_attacks.py

@@ -0,0 +1,78 @@
+import datasets
+import pandas as pd
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {2d-printed_masks_attacks},
+author = {TrainingDataPro},
+year = {2023}
+}
+"""
+
+_DESCRIPTION = """\
+The dataset consists of 40,000 videos and selfies with unique people. 15,000
+attack replays from 4,000 unique devices. 10,000 attacks with A4 printouts and
+10,000 attacks with cut-out printouts.
+"""
+_NAME = '2d-printed_masks_attacks'
+
+_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
+
+_LICENSE = "cc-by-nc-nd-4.0"
+
+_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
+
+
+class PrintedMasksAttacks(datasets.GeneratorBasedBuilder):
+
+    def _info(self):
+        return datasets.DatasetInfo(description=_DESCRIPTION,
+                                    features=datasets.Features({
+                                        '2d_mask': datasets.Value('string'),
+                                        'live_selfie': datasets.Image(),
+                                        'live_video': datasets.Value('string'),
+                                        'phone_model': datasets.Value('string')
+                                    }),
+                                    supervised_keys=None,
+                                    homepage=_HOMEPAGE,
+                                    citation=_CITATION,
+                                    license=_LICENSE)
+
+    def _split_generators(self, dl_manager):
+        masks = dl_manager.download(f"{_DATA}attack.tar.gz")
+        live_selfies = dl_manager.download(f"{_DATA}live_selfie.tar.gz")
+        live_videos = dl_manager.download(f"{_DATA}live_video.tar.gz")
+        annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
+        masks = dl_manager.iter_archive(masks)
+        live_selfies = dl_manager.iter_archive(live_selfies)
+        live_videos = dl_manager.iter_archive(live_videos)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN,
+                                    gen_kwargs={
+                                        'attacks': masks,
+                                        "live_selfies": live_selfies,
+                                        'live_videos': live_videos,
+                                        'annotations': annotations
+                                    }),
+        ]
+
+    def _generate_examples(self, masks, live_selfies, live_videos,
+                           annotations):
+        for idx, ((mask_path, mask), (live_selfie_path, live_selfie),
+                  (live_video_path, live_video)) in enumerate(
+                      zip(masks, live_selfies, live_videos)):
+            annotations_df = pd.read_csv(annotations)
+            yield idx, {
+                '2d_mask':
+                    mask_path,
+                'live_selfie': {
+                    'path': live_selfie_path,
+                    'bytes': live_selfie.read()
+                },
+                'live_video':
+                    live_video_path,
+                'phone_model':
+                    annotations_df.loc[
+                        annotations_df['live_selfie'] == live_selfie_path]
+                    ['phone_model'].values[0]
+            }

2d_masks.csv

@@ -1,10 +0,0 @@
-live_selfie;live_video;phone_model;2d_masks
-live_selfie/0.mp4;live_video/0.mp4;Xiaomi redmi note 9 pro;2d_masks/0.mp4
-live_selfie/1.mp4;live_video/1.mp4;Xiaomi note 10s;2d_masks/1.mp4
-live_selfie/2.mp4;live_video/2 .mp4;HONOR 10I ;2d_masks/2.mp4
-live_selfie/3.mp4;live_video/3.mp4;Moto G30;2d_masks/3.mp4
-live_selfie/4.mp4;live_video/4.mp4;Samsung Galaxy a22;2d_masks/4.mp4
-live_selfie/5.mp4;live_video/5.mp4;Redmi note 9;2d_masks/5.mp4
-live_selfie/6.mp4;live_video/6.mp4;Infinix note 11;2d_masks/6.mp4
-live_selfie/7.mp4;live_video/7.mp4;Oppo a5s;2d_masks/7.mp4
-live_selfie/8.mp4;live_video/8.mp4;Poco x3;2d_masks/8.mp4

2d_masks/2.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7f44147397f26751e6a10ee8fb6be8dc5fdc136ab8c800437fe85debca650db6
-size 20740572

2d_masks/4.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9af6b22aa8cd4ea1fe84ff543cd5b988ea2a38ed49f6b41cf54af86c4d4ba4e2
-size 20761996

2d_masks/5.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5262aadf6b0d0aa15a9400cecdece1e96d1212add34036bb0dd9e06979c8a885
-size 22494557

2d_masks/6.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a99472f16fcfb9ff8353448b453a9ae4ff90fd831c01793c2a942c8334fc831b
-size 25580154

2d_masks/7.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1ccebf3a33f6b81199fcb95666c1eab1e954ebbfcd845b367d2102cebc1fdb1f
-size 15930746

2d_masks/8.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a342833f7c97b1433fd256535193ad2a59148f342ed973497041d8afd7fe7bee
-size 19313024

data/2d-printed_masks_attacks.csv

@@ -0,0 +1,10 @@
+live_selfie;live_video;phone_model;2d_masks
+0.png;0.mp4;Xiaomi redmi note 9 pro;0.mp4
+1.png;1.mp4;Xiaomi note 10s;1.mp4
+2.png;2.mp4;HONOR 10I ;2.mp4
+3.png;3.mp4;Moto G30;3.mp4
+4.png;4.mp4;Samsung Galaxy a22;4.mp4
+5.png;5.mp4;Redmi note 9;5.mp4
+6.png;6.mp4;Infinix note 11;6.mp4
+7.png;7.mp4;Oppo a5s;7.mp4
+8.png;8.mp4;Poco x3;8.mp4

2d_masks/0.mp4 → data/2d_masks.tar.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b0fb57e70dab5e5df456d295c9697538fde94f9d874ae54576b4bec0e40d6e6
-size 17809464
+oid sha256:f7d66fc392396fda84b7862d41a5da5f7f40da485d369c05808b4288d55bc5d6
+size 177710147

2d_masks/1.mp4 → data/live_selfie.tar.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bcf555b5709e929bcdf3329e2def3069a4e8957ab43e17d38e5f25732a52c055
-size 21253321
+oid sha256:6b257561e60c1ee4b5fe2913721dce700822b27b3fe7926a6aba15cbb92c440e
+size 101143529

2d_masks/3.mp4 → data/live_video.tar.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c42573b6694f408fba7b95d2da9633e761407ae9f1898ff281609850594c833f
-size 13826279
+oid sha256:af31e871ab39bba056d55fe32fe19ff195add6f2d8fe7b478256350e4b16505f
+size 50102408

live_video/0.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b89ad5fbd87e4f4393fcf3cbde103cb9528a059c1aca590760f687a9b8371a8b
-size 8745423

live_video/1.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b9867da1784659b9c82b49081dfc7a325321f9ec36e0d2d761d27921edbc30d8
-size 7011451

live_video/2.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:eca9c3440afd1fd6bb6e371eb448add7866847819f664f43d819ceb1d461e04e
-size 5244697

live_video/3.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:05eb2f9bd50b1f4210324493b1fd84b261d5f88ee24da255778d63cb09ccae5c
-size 5240856

live_video/4.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c554ab1bd9f93db4ea93c3c95d658f29c1f3d087611b782941ab99bcecd8dc57
-size 5968226

live_video/5.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a4b31c265638b7736c1e86ce1596451f406b98a53d280a2d789e8574d6053d6c
-size 3474118

live_video/6.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:069e0191ddba4ba2761998fa56edda7d72ae2edf563cf830f879b850be3810c8
-size 3886679

live_video/7.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6d853eeafb952d52d57f6da1260e86335b9e65bf9f8208b26c673dc3bc64d830
-size 1157864

live_video/8.mp4

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a2418951479b5530e3a07b73bc11e1dd80d90c29fd4e05f2b795b07f1b2f092e
-size 9444609