SaulLu commited on
Commit
64d3590
·
1 Parent(s): d647e4b

modify class

Browse files
Files changed (1) hide show
  1. pascal_voc.py +40 -17
pascal_voc.py CHANGED
@@ -72,6 +72,11 @@ LAYOUT_INFOS = [
72
  # fmt: on
73
 
74
  CLASS_NAMES = [CLASS_INFO[0] for CLASS_INFO in CLASS_INFOS]
 
 
 
 
 
75
  ACTION_NAMES = [ACTION_INFO[0] for ACTION_INFO in ACTION_INFOS]
76
  LAYOUT_NAMES = [LAYOUT_INFO[0] for LAYOUT_INFO in LAYOUT_INFOS]
77
 
@@ -87,7 +92,9 @@ action_features = datasets.Features(
87
  "image": datasets.features.Image(),
88
  "height": datasets.Value("int32"),
89
  "width": datasets.Value("int32"),
90
- "classes": datasets.features.Sequence(datasets.features.ClassLabel(names=ACTION_NAMES)),
 
 
91
  "objects": datasets.features.Sequence(
92
  {
93
  "bboxes": datasets.Sequence(datasets.Value("float32")),
@@ -104,7 +111,9 @@ layout_features = datasets.Features(
104
  "image": datasets.features.Image(),
105
  "height": datasets.Value("int32"),
106
  "width": datasets.Value("int32"),
107
- "classes": datasets.features.Sequence(datasets.features.ClassLabel(names=LAYOUT_NAMES)),
 
 
108
  "objects": datasets.features.Sequence(
109
  {
110
  "bboxes": datasets.Sequence(datasets.Value("float32")),
@@ -121,7 +130,9 @@ main_features = datasets.Features(
121
  "image": datasets.features.Image(),
122
  "height": datasets.Value("int32"),
123
  "width": datasets.Value("int32"),
124
- "classes": datasets.features.Sequence(datasets.features.ClassLabel(names=CLASS_NAMES)),
 
 
125
  "objects": datasets.features.Sequence(
126
  {
127
  "bboxes": datasets.Sequence(datasets.Value("float32")),
@@ -376,7 +387,11 @@ class PASCALDataset(datasets.GeneratorBasedBuilder):
376
 
377
  if self.config.task_name == "layout":
378
  example["objects"] = [
379
- {"bboxes": object_info["bbox"], "classes": object_info["pose"], "difficult": object_info["difficult"],}
 
 
 
 
380
  for object_info in objects_info
381
  if "pose" in object_info
382
  ]
@@ -385,7 +400,11 @@ class PASCALDataset(datasets.GeneratorBasedBuilder):
385
 
386
  if self.config.task_name == "main":
387
  example["objects"] = [
388
- {"bboxes": object_info["bbox"], "classes": object_info["class"], "difficult": object_info["difficult"],}
 
 
 
 
389
  for object_info in objects_info
390
  if "class" in object_info
391
  ]
@@ -393,19 +412,23 @@ class PASCALDataset(datasets.GeneratorBasedBuilder):
393
  continue
394
 
395
  if self.config.task_name == "segmentation":
396
- example["class_gt_image"] = Image.open(os.path.abspath(
397
- os.path.join(
398
- data_folder,
399
- "SegmentationClass",
400
- anno_info["image"].replace(".jpg", ".png"),
 
 
401
  )
402
- ))
403
- example["object_gt_image"] = Image.open(os.path.abspath(
404
- os.path.join(
405
- data_folder,
406
- "SegmentationObject",
407
- anno_info["image"].replace(".jpg", ".png"),
 
 
408
  )
409
- ))
410
 
411
  yield id_, example
 
72
  # fmt: on
73
 
74
  CLASS_NAMES = [CLASS_INFO[0] for CLASS_INFO in CLASS_INFOS]
75
+ CLASS_NAMES_ALONE = [
76
+ CLASS_INFO[0]
77
+ for CLASS_INFO in CLASS_INFOS
78
+ if CLASS_INFO[1] not in ["background", "borderingregion"]
79
+ ]
80
  ACTION_NAMES = [ACTION_INFO[0] for ACTION_INFO in ACTION_INFOS]
81
  LAYOUT_NAMES = [LAYOUT_INFO[0] for LAYOUT_INFO in LAYOUT_INFOS]
82
 
 
92
  "image": datasets.features.Image(),
93
  "height": datasets.Value("int32"),
94
  "width": datasets.Value("int32"),
95
+ "classes": datasets.features.Sequence(
96
+ datasets.features.ClassLabel(names=ACTION_NAMES)
97
+ ),
98
  "objects": datasets.features.Sequence(
99
  {
100
  "bboxes": datasets.Sequence(datasets.Value("float32")),
 
111
  "image": datasets.features.Image(),
112
  "height": datasets.Value("int32"),
113
  "width": datasets.Value("int32"),
114
+ "classes": datasets.features.Sequence(
115
+ datasets.features.ClassLabel(names=LAYOUT_NAMES)
116
+ ),
117
  "objects": datasets.features.Sequence(
118
  {
119
  "bboxes": datasets.Sequence(datasets.Value("float32")),
 
130
  "image": datasets.features.Image(),
131
  "height": datasets.Value("int32"),
132
  "width": datasets.Value("int32"),
133
+ "classes": datasets.features.Sequence(
134
+ datasets.features.ClassLabel(names=CLASS_NAMES_ALONE)
135
+ ),
136
  "objects": datasets.features.Sequence(
137
  {
138
  "bboxes": datasets.Sequence(datasets.Value("float32")),
 
387
 
388
  if self.config.task_name == "layout":
389
  example["objects"] = [
390
+ {
391
+ "bboxes": object_info["bbox"],
392
+ "classes": object_info["pose"],
393
+ "difficult": object_info["difficult"],
394
+ }
395
  for object_info in objects_info
396
  if "pose" in object_info
397
  ]
 
400
 
401
  if self.config.task_name == "main":
402
  example["objects"] = [
403
+ {
404
+ "bboxes": object_info["bbox"],
405
+ "classes": object_info["class"],
406
+ "difficult": object_info["difficult"],
407
+ }
408
  for object_info in objects_info
409
  if "class" in object_info
410
  ]
 
412
  continue
413
 
414
  if self.config.task_name == "segmentation":
415
+ example["class_gt_image"] = Image.open(
416
+ os.path.abspath(
417
+ os.path.join(
418
+ data_folder,
419
+ "SegmentationClass",
420
+ anno_info["image"].replace(".jpg", ".png"),
421
+ )
422
  )
423
+ )
424
+ example["object_gt_image"] = Image.open(
425
+ os.path.abspath(
426
+ os.path.join(
427
+ data_folder,
428
+ "SegmentationObject",
429
+ anno_info["image"].replace(".jpg", ".png"),
430
+ )
431
  )
432
+ )
433
 
434
  yield id_, example