Vadzim Kashko commited on
Commit
2c4e303
1 Parent(s): d02f1db

init: data

Browse files
.gitattributes CHANGED
@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.jpg filter=lfs diff=lfs merge=lfs -text
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  *.jpeg filter=lfs diff=lfs merge=lfs -text
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  *.webp filter=lfs diff=lfs merge=lfs -text
 
 
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  *.jpg filter=lfs diff=lfs merge=lfs -text
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  *.jpeg filter=lfs diff=lfs merge=lfs -text
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  *.webp filter=lfs diff=lfs merge=lfs -text
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+ data filter=lfs diff=lfs merge=lfs -text
data/helmet_detection.csv ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ image_id,image_name,mask_name,bboxes
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+ 0,0.png,0.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '812.33', 'ytl': '939.39', 'xbr': '849.61', 'ybr': '988.62', 'z_order': '0'}]"
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+ 14,14.png,14.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '248.41', 'ytl': '337.19', 'xbr': '298.95', 'ybr': '406.53', 'z_order': '0'}]"
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+ 16,16.png,16.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '449.49', 'ytl': '383.39', 'xbr': '505.87', 'ybr': '450.66', 'z_order': '0'}]"
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+ 17,17.png,17.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '302.91', 'ytl': '389.65', 'xbr': '362.20', 'ybr': '473.89', 'z_order': '0'}]"
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+ 25,25.png,25.png,[]
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+ 41,41.png,41.png,"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '307.16', 'ytl': '207.74', 'xbr': '338.76', 'ybr': '242.57', 'z_order': '-2'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '301.22', 'ytl': '215.36', 'xbr': '332.82', 'ybr': '254.51', 'z_order': '0'}]"
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+ 42,42.png,42.png,"[{'label': 'no_helmet', 'occluded': '0', 'source': 'manual', 'xtl': '287.25', 'ytl': '249.69', 'xbr': '309.08', 'ybr': '276.47', 'z_order': '0'}]"
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+ 43,43.png,43.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '241.52', 'ytl': '170.33', 'xbr': '259.42', 'ybr': '191.49', 'z_order': '0'}]"
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+ 44,44.png,44.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '540.32', 'ytl': '88.13', 'xbr': '554.52', 'ybr': '101.13', 'z_order': '0'}, {'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '256.32', 'ytl': '412.84', 'xbr': '273.26', 'ybr': '430.96', 'z_order': '0'}]"
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+ 45,45.png,45.png,"[{'label': 'helmet', 'occluded': '0', 'source': 'manual', 'xtl': '279.93', 'ytl': '230.56', 'xbr': '301.42', 'ybr': '252.69', 'z_order': '0'}]"
data/images.tar.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8e52ff4b39e9aacf0020634c5de14ddd163646121a1fdd13cbbba17a73c2e469
3
+ size 31108565
data/masks.tar.gz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b51dccb1d4a4730531b06d4a8f3b56b92a73633c2aec05a0324620e4c128b77
3
+ size 25463066
face_segmentation.py ADDED
@@ -0,0 +1,76 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import datasets
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+ import pandas as pd
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+
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+ _CITATION = """\
5
+ @InProceedings{huggingface:dataset,
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+ title = {face_segmentation},
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+ author = {TrainingDataPro},
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+ year = {2023}
9
+ }
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+ """
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+
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+ _DESCRIPTION = """\
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+ An example of a dataset that we've collected for a photo edit App.
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+ The dataset includes 20 selfies of people (man and women)
15
+ in segmentation masks and their visualisations.
16
+ """
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+ _NAME = 'face_segmentation'
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+
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+ _HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
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+
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+ _LICENSE = ""
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+
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+ _DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
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+
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+
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+ class FaceSegmentation(datasets.GeneratorBasedBuilder):
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+ """Small sample of image-text pairs"""
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+
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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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+ 'image': datasets.Image(),
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+ 'mask': datasets.Image(),
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+ 'id': datasets.Value('string'),
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+ 'gender': datasets.Value('string'),
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+ 'age': datasets.Value('int8')
38
+ }),
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+ supervised_keys=None,
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+ homepage=_HOMEPAGE,
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ images = dl_manager.download(f"{_DATA}images.tar.gz")
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+ masks = dl_manager.download(f"{_DATA}masks.tar.gz")
47
+ annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
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+ images = dl_manager.iter_archive(images)
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+ masks = dl_manager.iter_archive(masks)
50
+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "images": images,
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+ 'masks': masks,
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+ 'annotations': annotations
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+ }),
57
+ ]
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+
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+ def _generate_examples(self, images, masks, annotations):
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+ annotations_df = pd.read_csv(annotations, sep=';')
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+
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+ for idx, ((image_path, image),
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+ (mask_path, mask)) in enumerate(zip(images, masks)):
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+ yield idx, {
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+ "image": {
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+ "path": image_path,
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+ "bytes": image.read()
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+ },
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+ "mask": {
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+ "path": mask_path,
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+ "bytes": mask.read()
72
+ },
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+ 'id': annotations_df['id'].iloc[idx],
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+ 'gender': annotations_df['gender'].iloc[idx],
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+ 'age': annotations_df['age'].iloc[idx]
76
+ }