vkashko commited on
Commit
6056f46
·
1 Parent(s): f834331

refactor: script

Browse files
Files changed (1) hide show
  1. face_masks.py +11 -20
face_masks.py CHANGED
@@ -94,7 +94,6 @@ class FaceMasks(datasets.GeneratorBasedBuilder):
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  'photo_2': datasets.Image(),
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  'photo_3': datasets.Image(),
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  'photo_4': datasets.Image(),
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- 'selfie_5': datasets.Image(),
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  'worker_id': datasets.Value('string'),
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  'age': datasets.Value('int8'),
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  'country': datasets.Value('string'),
@@ -121,8 +120,10 @@ class FaceMasks(datasets.GeneratorBasedBuilder):
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  annotations_df = pd.read_csv(annotations, sep=',')
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  images_data = pd.DataFrame(columns=['Link', 'Image'])
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  for idx, image_path in enumerate(images):
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- image = load_image_file(image_path)
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- images_data.loc[idx] = {'Link': image_path, 'Image': image}
 
 
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  annotations_df = pd.merge(annotations_df,
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  images_data,
@@ -133,28 +134,18 @@ class FaceMasks(datasets.GeneratorBasedBuilder):
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  annotations_df['WorkerId'] == worker_id]
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  annotation = annotation.sort_values(['Link'])
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  data = {
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- f'photo_{row[0]}': row[6] for row in annotation.itertuples()
 
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  }
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- age = annotation.loc[annotation['FName'] ==
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- 'ID_1']['Age'].values[0]
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- country = annotation.loc[annotation['FName'] ==
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- 'ID_1']['Country'].values[0]
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- gender = annotation.loc[annotation['FName'] ==
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- 'ID_1']['Gender'].values[0]
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- set_id = annotation.loc[annotation['FName'] ==
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- 'ID_1']['SetId'].values[0]
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- user_race = annotation.loc[annotation['FName'] ==
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- 'ID_1']['UserRace'].values[0]
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- name = annotation.loc[annotation['FName'] ==
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- 'ID_1']['Name'].values[0]
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  data['user_id'] = worker_id
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  data['age'] = age
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  data['country'] = country
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- data['gender'] = gender
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- data['set_id'] = set_id
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- data['user_race'] = user_race
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- data['name'] = name
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  yield idx, data
 
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  'photo_2': datasets.Image(),
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  'photo_3': datasets.Image(),
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  'photo_4': datasets.Image(),
 
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  'worker_id': datasets.Value('string'),
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  'age': datasets.Value('int8'),
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  'country': datasets.Value('string'),
 
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  annotations_df = pd.read_csv(annotations, sep=',')
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  images_data = pd.DataFrame(columns=['Link', 'Image'])
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  for idx, image_path in enumerate(images):
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+ images_data.loc[idx] = {
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+ 'Link': '/'.join(image_path.split('/')[-2:]),
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+ 'Path': image_path
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+ }
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  annotations_df = pd.merge(annotations_df,
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  images_data,
 
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  annotations_df['WorkerId'] == worker_id]
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  annotation = annotation.sort_values(['Link'])
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  data = {
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+ f'photo_{row[5]}': load_image_file(row[7])
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+ for row in annotation.itertuples()
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  }
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+ age = annotation.loc[annotation['Type'] == '1']['Age'].values[0]
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+ country = annotation.loc[annotation['Type'] ==
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+ '1']['Country'].values[0]
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+ sex = annotation.loc[annotation['Type'] == '1']['Sex'].values[0]
 
 
 
 
 
 
 
 
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  data['user_id'] = worker_id
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  data['age'] = age
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  data['country'] = country
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+ data['sex'] = sex
 
 
 
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  yield idx, data