Update Distorted_Human_Images.py
Browse filesChanged the "original" keyword to the "reference" keyword.
- Distorted_Human_Images.py +14 -14
Distorted_Human_Images.py
CHANGED
|
@@ -15,7 +15,7 @@ _FEATURES = datasets.Features(
|
|
| 15 |
"flawless": datasets.Image(),
|
| 16 |
"distorted": datasets.Image(),
|
| 17 |
"mask": datasets.Image(),
|
| 18 |
-
"
|
| 19 |
"prompt": datasets.Value("string"),
|
| 20 |
},
|
| 21 |
)
|
|
@@ -44,9 +44,9 @@ MASK_URL = hf_hub_url(
|
|
| 44 |
repo_type="dataset",
|
| 45 |
)
|
| 46 |
|
| 47 |
-
|
| 48 |
"NegarMov/Distorted_Human_Images",
|
| 49 |
-
filename="
|
| 50 |
repo_type="dataset",
|
| 51 |
)
|
| 52 |
|
|
@@ -78,8 +78,8 @@ class Distorted_Human_Images(datasets.GeneratorBasedBuilder):
|
|
| 78 |
mask_dir = dl_manager.download_and_extract(
|
| 79 |
MASK_URL
|
| 80 |
)
|
| 81 |
-
|
| 82 |
-
|
| 83 |
)
|
| 84 |
|
| 85 |
return [
|
|
@@ -91,12 +91,12 @@ class Distorted_Human_Images(datasets.GeneratorBasedBuilder):
|
|
| 91 |
"flawless_dir": flawless_dir,
|
| 92 |
"distorted_dir": distorted_dir,
|
| 93 |
"mask_dir": mask_dir,
|
| 94 |
-
"
|
| 95 |
},
|
| 96 |
),
|
| 97 |
]
|
| 98 |
|
| 99 |
-
def _generate_examples(self, metadata_path, flawless_dir, distorted_dir, mask_dir,
|
| 100 |
metadata = pd.read_json(metadata_path, lines=True)
|
| 101 |
|
| 102 |
for _, row in metadata.iterrows():
|
|
@@ -118,11 +118,11 @@ class Distorted_Human_Images(datasets.GeneratorBasedBuilder):
|
|
| 118 |
)
|
| 119 |
mask = open(mask_path, "rb").read()
|
| 120 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
)
|
| 125 |
-
|
| 126 |
|
| 127 |
yield row["flawless"], {
|
| 128 |
"prompt": prompt,
|
|
@@ -138,8 +138,8 @@ class Distorted_Human_Images(datasets.GeneratorBasedBuilder):
|
|
| 138 |
"path": mask_path,
|
| 139 |
"bytes": mask,
|
| 140 |
},
|
| 141 |
-
"
|
| 142 |
-
"path":
|
| 143 |
-
"bytes":
|
| 144 |
},
|
| 145 |
}
|
|
|
|
| 15 |
"flawless": datasets.Image(),
|
| 16 |
"distorted": datasets.Image(),
|
| 17 |
"mask": datasets.Image(),
|
| 18 |
+
"reference": datasets.Image(),
|
| 19 |
"prompt": datasets.Value("string"),
|
| 20 |
},
|
| 21 |
)
|
|
|
|
| 44 |
repo_type="dataset",
|
| 45 |
)
|
| 46 |
|
| 47 |
+
REFERENCE_URL = hf_hub_url(
|
| 48 |
"NegarMov/Distorted_Human_Images",
|
| 49 |
+
filename="reference.zip",
|
| 50 |
repo_type="dataset",
|
| 51 |
)
|
| 52 |
|
|
|
|
| 78 |
mask_dir = dl_manager.download_and_extract(
|
| 79 |
MASK_URL
|
| 80 |
)
|
| 81 |
+
reference_dir = dl_manager.download_and_extract(
|
| 82 |
+
REFERENCE_URL
|
| 83 |
)
|
| 84 |
|
| 85 |
return [
|
|
|
|
| 91 |
"flawless_dir": flawless_dir,
|
| 92 |
"distorted_dir": distorted_dir,
|
| 93 |
"mask_dir": mask_dir,
|
| 94 |
+
"reference_dir": reference_dir,
|
| 95 |
},
|
| 96 |
),
|
| 97 |
]
|
| 98 |
|
| 99 |
+
def _generate_examples(self, metadata_path, flawless_dir, distorted_dir, mask_dir, reference_dir):
|
| 100 |
metadata = pd.read_json(metadata_path, lines=True)
|
| 101 |
|
| 102 |
for _, row in metadata.iterrows():
|
|
|
|
| 118 |
)
|
| 119 |
mask = open(mask_path, "rb").read()
|
| 120 |
|
| 121 |
+
reference_path = row["reference"]
|
| 122 |
+
reference_path = os.path.join(
|
| 123 |
+
reference_dir, row["reference"]
|
| 124 |
)
|
| 125 |
+
reference = open(reference_path, "rb").read()
|
| 126 |
|
| 127 |
yield row["flawless"], {
|
| 128 |
"prompt": prompt,
|
|
|
|
| 138 |
"path": mask_path,
|
| 139 |
"bytes": mask,
|
| 140 |
},
|
| 141 |
+
"reference": {
|
| 142 |
+
"path": reference_path,
|
| 143 |
+
"bytes": reference,
|
| 144 |
},
|
| 145 |
}
|