refactor: script

generated-usa-passeports-dataset.py

@@ -1,8 +1,4 @@
-from pathlib import Path
-
 import datasets
-import numpy as np
-import pandas as pd
 import PIL.Image
 import PIL.ImageOps
 
@@ -135,7 +131,6 @@ class GeneratedUsaPasseportsDataset(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, original, augmentation, annotations):
-        annotations_df = pd.read_csv(annotations, sep=';')
         original = list(original)
         augmentation = list(augmentation)
         augmentation = [
@@ -144,37 +139,8 @@ class GeneratedUsaPasseportsDataset(datasets.GeneratorBasedBuilder):
 
         for idx, (org, aug) in enumerate(zip(original, augmentation)):
             yield idx, {
-                'original':
-                    load_image_file(org),
-                'us_pass_augmentated_1':
-                    load_image_file(aug[0]),
-                'us_pass_augmentated_2':
-                    load_image_file(aug[1]),
-                'us_pass_augmentated_3':
-                    load_image_file(aug[2])
+                'original': load_image_file(org),
+                'us_pass_augmentated_1': load_image_file(aug[0]),
+                'us_pass_augmentated_2': load_image_file(aug[1]),
+                'us_pass_augmentated_3': load_image_file(aug[2])
             }
-
-        # for idx, (image_path, (attack_path, attack)) in enumerate(
-        #         zip(sorted(images), sorted(attacks, key=lambda x: x[0]))):
-        #     image_name = Path(image_path).name
-        #     yield idx, {
-        #         "photo":
-        #             load_image_file(image_path),
-        #         "attack":
-        #             attack_path,
-        #         # annotations_df.loc[annotations_df['photo'].str.lower() ==
-        #         #                    image_name.lower()]['attack'].values[0],
-        #         'phone':
-        #             annotations_df.loc[annotations_df['photo'].str.lower() ==
-        #                                image_name.lower()]['phone'].values[0],
-        #         'gender':
-        #             annotations_df.loc[annotations_df['photo'].str.lower() ==
-        #                                image_name.lower()]['gender'].values[0],
-        #         'age':
-        #             annotations_df.loc[annotations_df['photo'].str.lower() ==
-        #                                image_name.lower()]['age'].values[0],
-        #         'country':
-        #             annotations_df.loc[annotations_df['photo'].str.lower() ==
-        #                                image_name.lower()]
-        #             ['country'].values[0],
-        #     }