kimsan0622 commited on
Commit
6b0a878
1 Parent(s): 2015ff6

Update coco.py

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Files changed (1) hide show
  1. coco.py +244 -9
coco.py CHANGED
@@ -157,6 +157,118 @@ CAT = [
157
  "hair brush",
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  ]
159
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
160
  SUPER_CAT = [
161
  "none",
162
  "person",
@@ -173,6 +285,24 @@ SUPER_CAT = [
173
  "indoor",
174
  ]
175
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
176
  CAT2SUPER_CAT = [
177
  "none",
178
  "person",
@@ -266,13 +396,118 @@ CAT2SUPER_CAT = [
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  "indoor",
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  "indoor",
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  "indoor",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
269
  ]
270
 
271
 
272
-
273
-
274
-
275
-
276
  class AnnotationType(object):
277
  """Enum of the annotation format types.
278
  Splits are annotated with different formats.
@@ -313,8 +548,8 @@ PANOPTIC_FEATURE = datasets.Features(
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  "bbox": datasets.Sequence(
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  feature=datasets.Value("float32")
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  ),
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- "label": datasets.ClassLabel(names=CAT),
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- "super_cat_label": datasets.ClassLabel(names=SUPER_CAT),
318
  "is_crowd": datasets.Value("bool"),
319
  })),
320
  "panoptic_image": datasets.Image(),
@@ -605,10 +840,10 @@ class Coco(datasets.GeneratorBasedBuilder):
605
  # pylint: disable=cell-var-from-loop
606
  # build_bbox is only used within the loop so it is ok to use image_info
607
  return [
608
- y,
609
  x,
610
- (y + height),
611
  (x + width),
 
612
  ]
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  # pylint: enable=cell-var-from-loop
614
 
@@ -622,7 +857,7 @@ class Coco(datasets.GeneratorBasedBuilder):
622
  'area': instance['area'],
623
  'bbox': build_bbox(*instance['bbox']),
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  'label': instance['category_id'],
625
- 'super_cat_label': SUPER_CAT.index(CAT2SUPER_CAT[instance['category_id']]),
626
  'is_crowd': bool(instance['iscrowd']),
627
  }
628
  for instance in instances
 
157
  "hair brush",
158
  ]
159
 
160
+ CAT_PANOPTIC = CAT + [
161
+ "banner",
162
+ "blanket",
163
+ "none1",
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+ "bridge",
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+ "none2",
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+ "none3",
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+ "none4",
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+ "none5",
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+ "cardboard",
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+ "none6",
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+ "none7",
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+ "none8",
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+ "none9",
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+ "none10",
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+ "none11",
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+ "counter",
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+ "none12",
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+ "curtain",
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+ "none13",
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+ "none14",
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+ "door-stuff",
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+ "none15",
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+ "none16",
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+ "none17",
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+ "none18",
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+ "none19",
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+ "floor-wood",
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+ "flower",
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+ "none20",
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+ "none21",
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+ "fruit",
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+ "none22",
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+ "none23",
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+ "gravel",
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+ "none24",
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+ "none25",
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+ "house",
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+ "none26",
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+ "light",
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+ "none27",
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+ "none28",
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+ "mirror-stuff",
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+ "none29",
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+ "none30",
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+ "none31",
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+ "none32",
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+ "net",
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+ "none33",
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+ "none34",
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+ "pillow",
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+ "none35",
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+ "none36",
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+ "platform",
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+ "playingfield",
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+ "none37",
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+ "railroad",
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+ "river",
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+ "road",
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+ "none38",
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+ "roof",
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+ "none39",
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+ "none40",
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+ "sand",
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+ "sea",
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+ "shelf",
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+ "none41",
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+ "none42",
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+ "snow",
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+ "none43",
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+ "stairs",
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+ "none44",
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+ "none45",
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+ "none46",
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+ "none47",
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+ "tent",
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+ "none48",
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+ "towel",
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+ "none49",
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+ "none50",
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+ "wall-brick",
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+ "none51",
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+ "none52",
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+ "none53",
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+ "wall-stone",
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+ "wall-tile",
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+ "wall-wood",
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+ "water-other",
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+ "none54",
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+ "window-blind",
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+ "window-other",
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+ "none55",
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+ "none56",
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+ "tree-merged",
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+ "fence-merged",
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+ "ceiling-merged",
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+ "sky-other-merged",
257
+ "cabinet-merged",
258
+ "table-merged",
259
+ "floor-other-merged",
260
+ "pavement-merged",
261
+ "mountain-merged",
262
+ "grass-merged",
263
+ "dirt-merged",
264
+ "paper-merged",
265
+ "food-other-merged",
266
+ "building-other-merged",
267
+ "rock-merged",
268
+ "wall-other-merged",
269
+ "rug-merged",
270
+ ]
271
+
272
  SUPER_CAT = [
273
  "none",
274
  "person",
 
285
  "indoor",
286
  ]
287
 
288
+ SUPER_CAT_PANOPTIC = SUPER_CAT + [
289
+ "textile",
290
+ "building",
291
+ "raw-material",
292
+ "furniture-stuff",
293
+ "floor",
294
+ "plant",
295
+ "food-stuff",
296
+ "ground",
297
+ "structural",
298
+ "water",
299
+ "wall",
300
+ "window",
301
+ "ceiling",
302
+ "sky",
303
+ "solid",
304
+ ]
305
+
306
  CAT2SUPER_CAT = [
307
  "none",
308
  "person",
 
396
  "indoor",
397
  "indoor",
398
  "indoor",
399
+ "textile",
400
+ "textile",
401
+ "none",
402
+ "building",
403
+ "none",
404
+ "none",
405
+ "none",
406
+ "none",
407
+ "raw-material",
408
+ "none",
409
+ "none",
410
+ "none",
411
+ "none",
412
+ "none",
413
+ "none",
414
+ "furniture-stuff",
415
+ "none",
416
+ "textile",
417
+ "none",
418
+ "none",
419
+ "furniture-stuff",
420
+ "none",
421
+ "none",
422
+ "none",
423
+ "none",
424
+ "none",
425
+ "floor",
426
+ "plant",
427
+ "none",
428
+ "none",
429
+ "food-stuff",
430
+ "none",
431
+ "none",
432
+ "ground",
433
+ "none",
434
+ "none",
435
+ "building",
436
+ "none",
437
+ "furniture-stuff",
438
+ "none",
439
+ "none",
440
+ "furniture-stuff",
441
+ "none",
442
+ "none",
443
+ "none",
444
+ "none",
445
+ "structural",
446
+ "none",
447
+ "none",
448
+ "textile",
449
+ "none",
450
+ "none",
451
+ "ground",
452
+ "ground",
453
+ "none",
454
+ "ground",
455
+ "water",
456
+ "ground",
457
+ "none",
458
+ "building",
459
+ "none",
460
+ "none",
461
+ "ground",
462
+ "water",
463
+ "furniture-stuff",
464
+ "none",
465
+ "none",
466
+ "ground",
467
+ "none",
468
+ "furniture-stuff",
469
+ "none",
470
+ "none",
471
+ "none",
472
+ "none",
473
+ "building",
474
+ "none",
475
+ "textile",
476
+ "none",
477
+ "none",
478
+ "wall",
479
+ "none",
480
+ "none",
481
+ "none",
482
+ "wall",
483
+ "wall",
484
+ "wall",
485
+ "water",
486
+ "none",
487
+ "window",
488
+ "window",
489
+ "none",
490
+ "none",
491
+ "plant",
492
+ "structural",
493
+ "ceiling",
494
+ "sky",
495
+ "furniture-stuff",
496
+ "furniture-stuff",
497
+ "floor",
498
+ "ground",
499
+ "solid",
500
+ "plant",
501
+ "ground",
502
+ "raw-material",
503
+ "food-stuff",
504
+ "building",
505
+ "solid",
506
+ "wall",
507
+ "textile",
508
  ]
509
 
510
 
 
 
 
 
511
  class AnnotationType(object):
512
  """Enum of the annotation format types.
513
  Splits are annotated with different formats.
 
548
  "bbox": datasets.Sequence(
549
  feature=datasets.Value("float32")
550
  ),
551
+ "label": datasets.ClassLabel(names=CAT_PANOPTIC),
552
+ "super_cat_label": datasets.ClassLabel(names=SUPER_CAT_PANOPTIC),
553
  "is_crowd": datasets.Value("bool"),
554
  })),
555
  "panoptic_image": datasets.Image(),
 
840
  # pylint: disable=cell-var-from-loop
841
  # build_bbox is only used within the loop so it is ok to use image_info
842
  return [
 
843
  x,
844
+ y,
845
  (x + width),
846
+ (y + height),
847
  ]
848
  # pylint: enable=cell-var-from-loop
849
 
 
857
  'area': instance['area'],
858
  'bbox': build_bbox(*instance['bbox']),
859
  'label': instance['category_id'],
860
+ 'super_cat_label': SUPER_CAT_PANOPTIC.index(CAT2SUPER_CAT[instance['category_id']]),
861
  'is_crowd': bool(instance['iscrowd']),
862
  }
863
  for instance in instances