Update RDD_2020.py
Browse files- RDD_2020.py +1 -16
RDD_2020.py
CHANGED
@@ -52,14 +52,8 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
|
|
52 |
"image_id": datasets.Value("string"),
|
53 |
"country": datasets.Value("string"),
|
54 |
"type": datasets.Value("string"),
|
55 |
-
"image_resolution": datasets.Features({
|
56 |
-
"width": datasets.Value("int32"),
|
57 |
-
"height": datasets.Value("int32"),
|
58 |
-
"depth": datasets.Value("int32"),
|
59 |
-
}),
|
60 |
"image": datasets.Image(),
|
61 |
"image_path": datasets.Value("string"),
|
62 |
-
#"pics_array": datasets.Array3D(shape=(None, None, 3), dtype="uint8"),
|
63 |
"crack_type": datasets.Sequence(datasets.Value("string")),
|
64 |
"crack_coordinates": datasets.Sequence(datasets.Features({
|
65 |
"x_min": datasets.Value("int32"),
|
@@ -84,11 +78,6 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
|
|
84 |
name: dl_manager.download_and_extract(url)
|
85 |
for name, url in urls_to_download.items()
|
86 |
}
|
87 |
-
# print( downloaded_files['train'])
|
88 |
-
|
89 |
-
|
90 |
-
# files_and_directories = os.listdir(directory_path)
|
91 |
-
# print(files_and_directories)
|
92 |
|
93 |
return [
|
94 |
datasets.SplitGenerator(
|
@@ -121,10 +110,6 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
|
|
121 |
for country_dir in ['Czech', 'India', 'Japan']:
|
122 |
images_dir = f"{filepath}/{country_dir}/images"
|
123 |
|
124 |
-
# print(os.listdir(filepath))
|
125 |
-
# print(os.listdir(filepath))
|
126 |
-
# print(os.listdir(f"{filepath}/{country_dir}"))
|
127 |
-
|
128 |
annotations_dir = f"{filepath}/{country_dir}/annotations/xmls" if split == "train" else None
|
129 |
|
130 |
# Iterate over each image in the country's image directory
|
@@ -164,8 +149,8 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
|
|
164 |
"image_id": image_id,
|
165 |
"country": country_dir,
|
166 |
"type": split,
|
167 |
-
"image_path": image_path,
|
168 |
"image": img,
|
|
|
169 |
"crack_type": crack_type,
|
170 |
"crack_coordinates": crack_coordinates,
|
171 |
}
|
|
|
52 |
"image_id": datasets.Value("string"),
|
53 |
"country": datasets.Value("string"),
|
54 |
"type": datasets.Value("string"),
|
|
|
|
|
|
|
|
|
|
|
55 |
"image": datasets.Image(),
|
56 |
"image_path": datasets.Value("string"),
|
|
|
57 |
"crack_type": datasets.Sequence(datasets.Value("string")),
|
58 |
"crack_coordinates": datasets.Sequence(datasets.Features({
|
59 |
"x_min": datasets.Value("int32"),
|
|
|
78 |
name: dl_manager.download_and_extract(url)
|
79 |
for name, url in urls_to_download.items()
|
80 |
}
|
|
|
|
|
|
|
|
|
|
|
81 |
|
82 |
return [
|
83 |
datasets.SplitGenerator(
|
|
|
110 |
for country_dir in ['Czech', 'India', 'Japan']:
|
111 |
images_dir = f"{filepath}/{country_dir}/images"
|
112 |
|
|
|
|
|
|
|
|
|
113 |
annotations_dir = f"{filepath}/{country_dir}/annotations/xmls" if split == "train" else None
|
114 |
|
115 |
# Iterate over each image in the country's image directory
|
|
|
149 |
"image_id": image_id,
|
150 |
"country": country_dir,
|
151 |
"type": split,
|
|
|
152 |
"image": img,
|
153 |
+
"image_path": image_path,
|
154 |
"crack_type": crack_type,
|
155 |
"crack_coordinates": crack_coordinates,
|
156 |
}
|