Yuhan Hou commited on
Commit
cee7b91
1 Parent(s): f3fb371
Files changed (1) hide show
  1. FracAtlas_dataset.py +16 -17
FracAtlas_dataset.py CHANGED
@@ -92,20 +92,19 @@ class FracAtlasDataset(datasets.GeneratorBasedBuilder):
92
  features=datasets.Features(
93
  {
94
  "image_id": datasets.Value("string"),
95
- #"image_path": datasets.Value("string"),
96
  "image": datasets.Image(),
97
- "hand": datasets.ClassLabel(num_classes=2,names=['hand','no hand']),
98
- "leg":datasets.Value("int32"),
99
- "hip": datasets.Value("int32"),
100
- "shoulder": datasets.Value("int32"),
101
- "mixed": datasets.Value("int32"),
102
- "hardware": datasets.Value("int32"),
103
- "multiscan": datasets.Value("int32"),
104
- "fractured": datasets.Value("int32"),
105
  "fracture_count": datasets.Value("int32"),
106
- "frontal": datasets.Value("int32"),
107
- "lateral": datasets.Value("int32"),
108
- "oblique": datasets.Value("int32"),
109
  "localization_metadata": datasets.Features({
110
  "width": datasets.Value("int32"),
111
  "height": datasets.Value("int32"),
@@ -204,13 +203,14 @@ class FracAtlasDataset(datasets.GeneratorBasedBuilder):
204
  annotation = annotations.get(image_id)
205
  image_path = os.path.join(images_path, folder, image_id)
206
 
 
207
  segmentation, bbox, area = None, None, None
208
  segmentation_metadata = None
209
 
210
  if annotation:
211
- segmentation = annotation.get('segmentation') # Default if not present
212
- bbox = annotation.get('bbox') # Default if not present
213
- area = annotation.get('area') # Default if not present
214
 
215
  segmentation_metadata = {
216
  'segmentation': segmentation,
@@ -218,7 +218,7 @@ class FracAtlasDataset(datasets.GeneratorBasedBuilder):
218
  'area': area
219
  }
220
  else:
221
- segmentation_metadata = None
222
 
223
  xml_file_name = f"{image_id.split('.')[0]}.xml"
224
  xml_path = os.path.join(localization_path, xml_file_name)
@@ -236,7 +236,6 @@ class FracAtlasDataset(datasets.GeneratorBasedBuilder):
236
  # Construct example data
237
  example_data = {
238
  "image_id": row['image_id'],
239
- #"image_path": image_path,
240
  "image":image_path,
241
  "hand": row["hand"],
242
  "leg": row["leg"],
 
92
  features=datasets.Features(
93
  {
94
  "image_id": datasets.Value("string"),
 
95
  "image": datasets.Image(),
96
+ "hand": datasets.ClassLabel(num_classes=2,names=['no_hand_fracture','hand_fracture']),
97
+ "leg": datasets.ClassLabel(num_classes=2,names=['no_leg_fracture','leg_fracture']),
98
+ "hip": datasets.ClassLabel(num_classes=2,names=['no_hip_fracture','hip_fracture']),
99
+ "shoulder": datasets.ClassLabel(num_classes=2,names=['no_shoulder_fracture','shoulder_fracture']),
100
+ "mixed": datasets.ClassLabel(num_classes=2,names=['not_mixed','mixed']),
101
+ "hardware": datasets.ClassLabel(num_classes=2,names=['no_hardware','hardware']),
102
+ "multiscan": datasets.ClassLabel(num_classes=2,names=['not_multiscan','multiscan']),
103
+ "fractured": datasets.ClassLabel(num_classes=2,names=['not_fractured','fractured']),
104
  "fracture_count": datasets.Value("int32"),
105
+ "frontal": datasets.ClassLabel(num_classes=2,names=['not_frontal','frontal']),
106
+ "lateral": datasets.ClassLabel(num_classes=2,names=['not_lateral','lateral']),
107
+ "oblique": datasets.ClassLabel(num_classes=2,names=['not_oblique','oblique']),
108
  "localization_metadata": datasets.Features({
109
  "width": datasets.Value("int32"),
110
  "height": datasets.Value("int32"),
 
203
  annotation = annotations.get(image_id)
204
  image_path = os.path.join(images_path, folder, image_id)
205
 
206
+ # Initialize variables
207
  segmentation, bbox, area = None, None, None
208
  segmentation_metadata = None
209
 
210
  if annotation:
211
+ segmentation = annotation.get('segmentation')
212
+ bbox = annotation.get('bbox')
213
+ area = annotation.get('area')
214
 
215
  segmentation_metadata = {
216
  'segmentation': segmentation,
 
218
  'area': area
219
  }
220
  else:
221
+ segmentation_metadata = None # Default if not present
222
 
223
  xml_file_name = f"{image_id.split('.')[0]}.xml"
224
  xml_path = os.path.join(localization_path, xml_file_name)
 
236
  # Construct example data
237
  example_data = {
238
  "image_id": row['image_id'],
 
239
  "image":image_path,
240
  "hand": row["hand"],
241
  "leg": row["leg"],