Meehai commited on
Commit
9be20c1
·
1 Parent(s): 66dd702

small updates to semantic mapper

Browse files
scripts/semantic_mapper/semantic_mapper.py CHANGED
@@ -7,8 +7,8 @@ from pprint import pprint
7
  import numpy as np
8
  import torch as tr
9
 
10
- from vre.utils import (semantic_mapper, colorize_semantic_segmentation, DiskData, MemoryData, ReprOut, reorder_dict,
11
- collage_fn, image_add_title, lo)
12
  from vre.logger import vre_logger as logger
13
  from vre.readers.multitask_dataset import MultiTaskDataset, MultiTaskItem
14
  from vre.representations import TaskMapper, NpIORepresentation, Representation, build_representations_from_cfg
@@ -106,10 +106,9 @@ m2f_r50_mapillary = SemanticRepresentation("semantic_mask2former_mapillary_49189
106
  marigold = DepthRepresentation("depth_marigold", min_depth=0, max_depth=1)
107
  normals_svd_marigold = NormalsRepresentation("normals_svd(depth_marigold)")
108
 
109
- class SemanticMask2FormerMapillaryConvertedPaper(TaskMapper, NpIORepresentation):
110
- def __init__(self, name: str, dependencies: list[Representation]):
111
  TaskMapper.__init__(self, name=name, n_channels=8, dependencies=dependencies)
112
- NpIORepresentation.__init__(self)
113
  self.mapping = {
114
  "land": ["Terrain", "Sand", "Snow"],
115
  "forest": ["Vegetation"],
@@ -127,40 +126,21 @@ class SemanticMask2FormerMapillaryConvertedPaper(TaskMapper, NpIORepresentation)
127
  "sky": ["Sky"],
128
  "hill": ["Mountain"]
129
  }
130
- self.color_map = [[0, 255, 0], [0, 127, 0], [255, 255, 0], [255, 255, 255],
131
- [255, 0, 0], [0, 0, 255], [0, 255, 255], [127, 127, 63]]
 
 
132
  self.original_classes = dependencies[0].classes
133
  assert set(reduce(lambda x, y: x + y, self.mapping.values(), [])) == set(self.original_classes)
134
- self.classes = list(self.mapping.keys())
135
- self.n_classes = len(self.classes)
136
- self.output_dtype = "uint8"
137
-
138
- @property
139
- @overrides
140
- def n_channels(self) -> int:
141
- return self.n_classes
142
-
143
- @overrides
144
- def make_images(self, data: ReprOut) -> np.ndarray:
145
- return colorize_semantic_segmentation(data.output.argmax(-1), self.classes, self.color_map)
146
 
147
  @overrides
148
  def merge_fn(self, dep_data: list[MemoryData]) -> MemoryData:
149
  m2f_mapillary_converted = semantic_mapper(dep_data[0].argmax(-1), self.mapping, self.original_classes)
150
  return self.disk_to_memory_fmt(m2f_mapillary_converted)
151
 
152
- @overrides
153
- def memory_to_disk_fmt(self, memory_data: MemoryData) -> DiskData:
154
- return memory_data.argmax(-1).astype(np.uint8)
155
-
156
- @overrides
157
- def disk_to_memory_fmt(self, disk_data: DiskData) -> MemoryData:
158
- return MemoryData(np.eye(self.n_classes)[disk_data.astype(int)])
159
-
160
- class SemanticMask2FormerCOCOConverted(TaskMapper, NpIORepresentation):
161
  def __init__(self, name: str, dependencies: list[Representation]):
162
  TaskMapper.__init__(self, name=name, n_channels=8, dependencies=dependencies)
163
- NpIORepresentation.__init__(self)
164
  self.mapping = {
165
  "land": ["grass-merged", "dirt-merged", "sand", "gravel", "flower", "playingfield", "snow", "platform"],
166
  "forest": ["tree-merged"],
@@ -185,22 +165,11 @@ class SemanticMask2FormerCOCOConverted(TaskMapper, NpIORepresentation):
185
  "sky": ["sky-other-merged"],
186
  "hill": ["mountain-merged"]
187
  }
188
- self.color_map = [[0, 255, 0], [0, 127, 0], [255, 255, 0], [255, 255, 255],
189
- [255, 0, 0], [0, 0, 255], [0, 255, 255], [127, 127, 63]]
 
 
190
  self.original_classes = dependencies[0].classes
191
- assert set(reduce(lambda x, y: x + y, self.mapping.values(), [])) == set(self.original_classes)
192
- self.classes = list(self.mapping.keys())
193
- self.n_classes = len(self.classes)
194
- self.output_dtype = "uint8"
195
-
196
- @property
197
- @overrides
198
- def n_channels(self) -> int:
199
- return self.n_classes
200
-
201
- @overrides
202
- def make_images(self, data: ReprOut) -> np.ndarray:
203
- return colorize_semantic_segmentation(data.output.argmax(-1), self.classes, self.color_map)
204
 
205
  @overrides
206
  def merge_fn(self, dep_data: list[MemoryData]) -> MemoryData:
@@ -208,14 +177,6 @@ class SemanticMask2FormerCOCOConverted(TaskMapper, NpIORepresentation):
208
  res = self.disk_to_memory_fmt(m2f_mapillary_converted)
209
  return res
210
 
211
- @overrides
212
- def memory_to_disk_fmt(self, memory_data: MemoryData) -> DiskData:
213
- return memory_data.argmax(-1).astype(np.uint8)
214
-
215
- @overrides
216
- def disk_to_memory_fmt(self, disk_data: DiskData) -> MemoryData:
217
- return MemoryData(np.eye(self.n_classes)[disk_data.astype(int)])
218
-
219
  class BinaryMapper(TaskMapper, NpIORepresentation):
220
  """
221
  Note for future self: this is never generic enough to be in VRE -- we'll keep it in this separate code only
@@ -269,13 +230,12 @@ class BinaryMapper(TaskMapper, NpIORepresentation):
269
  res_argmax = sum(dep_data_converted) > len(dep_data_converted) // 2
270
  return self.disk_to_memory_fmt(res_argmax)
271
 
272
- class BuildingsFromM2FDepth(BinaryMapper, NpIORepresentation):
273
  def __init__(self, name: str, dependencies: list[Representation], buildings: BinaryMapper, mode: str,
274
  load_mode: str = "binary"):
275
  assert len(dependencies) == 1, dependencies
276
  BinaryMapper.__init__(self, name=name, dependencies=buildings.dependencies,
277
  mapping=buildings.mapping, mode=mode, load_mode=load_mode)
278
- NpIORepresentation.__init__(self)
279
  self.dependencies = [*buildings.dependencies, dependencies[0]]
280
  self.classes = ["others", name]
281
 
@@ -286,26 +246,18 @@ class BuildingsFromM2FDepth(BinaryMapper, NpIORepresentation):
286
  buildings_depth = buildings * (depth <= thr)
287
  return self.disk_to_memory_fmt(buildings_depth.astype(bool))
288
 
289
- class SemanticMedian(TaskMapper, NpIORepresentation):
290
- def __init__(self, name: str, deps: list[TaskMapper]):
291
  assert all(dep.n_channels == deps[0].n_channels for dep in deps), [(dep.name, dep.n_channels) for dep in deps]
292
  TaskMapper.__init__(self, name, n_channels=deps[0].n_channels, dependencies=deps)
293
- NpIORepresentation.__init__(self)
294
- self.classes = list(deps[0].classes)
295
- self.n_classes = len(self.classes)
296
- self.output_dtype = "uint8"
297
- self.color_map = deps[0].color_map
298
 
299
  @overrides
300
  def merge_fn(self, dep_data: list[MemoryData]) -> MemoryData:
301
- return MemoryData(np.eye(self.n_classes)[sum(dep_data).argmax(-1)].astype(np.uint8))
302
 
303
- @overrides
304
- def make_images(self, data: ReprOut) -> np.ndarray:
305
- data_output = data.output.argmax(-1) if np.issubdtype(data.output.dtype, np.floating) else data.output
306
- return colorize_semantic_segmentation(data_output, self.classes, self.color_map)
307
-
308
- class SafeLandingAreas(BinaryMapper, NpIORepresentation):
309
  def __init__(self, name: str, depth: DepthRepresentation, camera_normals: NormalsRepresentation,
310
  include_semantics: bool, original_classes: tuple[list[str], list[str]] | None = None,
311
  semantics: list[SemanticRepresentation] | None = None, load_mode: str = "binary"):
@@ -315,7 +267,6 @@ class SafeLandingAreas(BinaryMapper, NpIORepresentation):
315
  assert len(semantics) == 3
316
  dependencies = [*dependencies, *semantics]
317
  TaskMapper.__init__(self, name, dependencies=dependencies, n_channels=2)
318
- NpIORepresentation.__init__(self)
319
  self.color_map = [[255, 0, 0], [0, 255, 0]]
320
  self.original_classes = original_classes
321
  self.classes = ["unsafe-landing", "safe-landing"]
 
7
  import numpy as np
8
  import torch as tr
9
 
10
+ from vre.utils import (semantic_mapper, colorize_semantic_segmentation, DiskData, MemoryData,
11
+ ReprOut, reorder_dict, collage_fn, image_add_title, lo)
12
  from vre.logger import vre_logger as logger
13
  from vre.readers.multitask_dataset import MultiTaskDataset, MultiTaskItem
14
  from vre.representations import TaskMapper, NpIORepresentation, Representation, build_representations_from_cfg
 
106
  marigold = DepthRepresentation("depth_marigold", min_depth=0, max_depth=1)
107
  normals_svd_marigold = NormalsRepresentation("normals_svd(depth_marigold)")
108
 
109
+ class SemanticMask2FormerMapillaryConvertedPaper(TaskMapper, SemanticRepresentation):
110
+ def __init__(self, name: str, dependencies: list[SemanticRepresentation]):
111
  TaskMapper.__init__(self, name=name, n_channels=8, dependencies=dependencies)
 
112
  self.mapping = {
113
  "land": ["Terrain", "Sand", "Snow"],
114
  "forest": ["Vegetation"],
 
126
  "sky": ["Sky"],
127
  "hill": ["Mountain"]
128
  }
129
+ color_map = [[0, 255, 0], [0, 127, 0], [255, 255, 0], [255, 255, 255],
130
+ [255, 0, 0], [0, 0, 255], [0, 255, 255], [127, 127, 63]]
131
+ SemanticRepresentation.__init__(self, name, dependencies=dependencies, classes=list(self.mapping),
132
+ color_map=color_map, disk_data_argmax=True)
133
  self.original_classes = dependencies[0].classes
134
  assert set(reduce(lambda x, y: x + y, self.mapping.values(), [])) == set(self.original_classes)
 
 
 
 
 
 
 
 
 
 
 
 
135
 
136
  @overrides
137
  def merge_fn(self, dep_data: list[MemoryData]) -> MemoryData:
138
  m2f_mapillary_converted = semantic_mapper(dep_data[0].argmax(-1), self.mapping, self.original_classes)
139
  return self.disk_to_memory_fmt(m2f_mapillary_converted)
140
 
141
+ class SemanticMask2FormerCOCOConverted(TaskMapper, SemanticRepresentation):
 
 
 
 
 
 
 
 
142
  def __init__(self, name: str, dependencies: list[Representation]):
143
  TaskMapper.__init__(self, name=name, n_channels=8, dependencies=dependencies)
 
144
  self.mapping = {
145
  "land": ["grass-merged", "dirt-merged", "sand", "gravel", "flower", "playingfield", "snow", "platform"],
146
  "forest": ["tree-merged"],
 
165
  "sky": ["sky-other-merged"],
166
  "hill": ["mountain-merged"]
167
  }
168
+ color_map = [[0, 255, 0], [0, 127, 0], [255, 255, 0], [255, 255, 255],
169
+ [255, 0, 0], [0, 0, 255], [0, 255, 255], [127, 127, 63]]
170
+ SemanticRepresentation.__init__(self, name, dependencies=dependencies, classes=list(self.mapping),
171
+ color_map=color_map, disk_data_argmax=True)
172
  self.original_classes = dependencies[0].classes
 
 
 
 
 
 
 
 
 
 
 
 
 
173
 
174
  @overrides
175
  def merge_fn(self, dep_data: list[MemoryData]) -> MemoryData:
 
177
  res = self.disk_to_memory_fmt(m2f_mapillary_converted)
178
  return res
179
 
 
 
 
 
 
 
 
 
180
  class BinaryMapper(TaskMapper, NpIORepresentation):
181
  """
182
  Note for future self: this is never generic enough to be in VRE -- we'll keep it in this separate code only
 
230
  res_argmax = sum(dep_data_converted) > len(dep_data_converted) // 2
231
  return self.disk_to_memory_fmt(res_argmax)
232
 
233
+ class BuildingsFromM2FDepth(BinaryMapper):
234
  def __init__(self, name: str, dependencies: list[Representation], buildings: BinaryMapper, mode: str,
235
  load_mode: str = "binary"):
236
  assert len(dependencies) == 1, dependencies
237
  BinaryMapper.__init__(self, name=name, dependencies=buildings.dependencies,
238
  mapping=buildings.mapping, mode=mode, load_mode=load_mode)
 
239
  self.dependencies = [*buildings.dependencies, dependencies[0]]
240
  self.classes = ["others", name]
241
 
 
246
  buildings_depth = buildings * (depth <= thr)
247
  return self.disk_to_memory_fmt(buildings_depth.astype(bool))
248
 
249
+ class SemanticMedian(TaskMapper, SemanticRepresentation):
250
+ def __init__(self, name: str, deps: list[TaskMapper | SemanticRepresentation]):
251
  assert all(dep.n_channels == deps[0].n_channels for dep in deps), [(dep.name, dep.n_channels) for dep in deps]
252
  TaskMapper.__init__(self, name, n_channels=deps[0].n_channels, dependencies=deps)
253
+ SemanticRepresentation.__init__(self, name, dependencies=deps, classes=deps[0].classes,
254
+ color_map=deps[0].color_map, disk_data_argmax=True)
 
 
 
255
 
256
  @overrides
257
  def merge_fn(self, dep_data: list[MemoryData]) -> MemoryData:
258
+ return MemoryData(np.eye(self.n_classes)[sum(dep_data).argmax(-1)].astype(np.float32))
259
 
260
+ class SafeLandingAreas(BinaryMapper):
 
 
 
 
 
261
  def __init__(self, name: str, depth: DepthRepresentation, camera_normals: NormalsRepresentation,
262
  include_semantics: bool, original_classes: tuple[list[str], list[str]] | None = None,
263
  semantics: list[SemanticRepresentation] | None = None, load_mode: str = "binary"):
 
267
  assert len(semantics) == 3
268
  dependencies = [*dependencies, *semantics]
269
  TaskMapper.__init__(self, name, dependencies=dependencies, n_channels=2)
 
270
  self.color_map = [[255, 0, 0], [0, 255, 0]]
271
  self.original_classes = original_classes
272
  self.classes = ["unsafe-landing", "safe-landing"]
vre_dronescapes/cntrs.ipynb CHANGED
@@ -2,7 +2,7 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
- "execution_count": 5,
6
  "metadata": {},
7
  "outputs": [],
8
  "source": [
@@ -11,7 +11,7 @@
11
  },
12
  {
13
  "cell_type": "code",
14
- "execution_count": 6,
15
  "metadata": {},
16
  "outputs": [
17
  {
@@ -19,13 +19,7 @@
19
  "output_type": "stream",
20
  "text": [
21
  "ls: cannot access 'comana_DJI_0881_full/camera_normals_output/npz': No such file or directory\n",
22
- "ls: cannot access 'comana_DJI_0881_full/depth_output/npz': No such file or directory\n"
23
- ]
24
- },
25
- {
26
- "name": "stdout",
27
- "output_type": "stream",
28
- "text": [
29
  "ls: cannot access 'norway_210821_DJI_0015_full/camera_normals_output/npz': No such file or directory\n",
30
  "ls: cannot access 'norway_210821_DJI_0015_full/depth_output/npz': No such file or directory\n"
31
  ]
@@ -37,7 +31,7 @@
37
  },
38
  {
39
  "cell_type": "code",
40
- "execution_count": 7,
41
  "metadata": {},
42
  "outputs": [
43
  {
@@ -180,14 +174,14 @@
180
  },
181
  {
182
  "cell_type": "code",
183
- "execution_count": 8,
184
  "metadata": {},
185
  "outputs": [
186
  {
187
  "name": "stderr",
188
  "output_type": "stream",
189
  "text": [
190
- "/tmp/ipykernel_3560989/2846805734.py:4: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
191
  " df2 = df.groupby(\"scene\").apply(f).reset_index().drop(columns=[\"level_1\"]).set_index(\"scene\")\n"
192
  ]
193
  },
@@ -420,27 +414,27 @@
420
  " <td>2983</td>\n",
421
  " </tr>\n",
422
  " <tr>\n",
423
- " <th>norway_DJI_0741_540p</th>\n",
424
- " <td>9021</td>\n",
425
- " <td>9021</td>\n",
426
- " <td>9021</td>\n",
427
- " <td>9021</td>\n",
428
- " <td>9021</td>\n",
429
- " <td>9021</td>\n",
430
- " <td>9021</td>\n",
431
- " <td>9021</td>\n",
432
- " <td>9021</td>\n",
433
- " <td>9021</td>\n",
434
- " <td>9021</td>\n",
435
- " <td>9021</td>\n",
436
- " <td>9021</td>\n",
437
- " <td>9021</td>\n",
438
- " <td>9021</td>\n",
439
- " <td>9021</td>\n",
440
- " <td>9021</td>\n",
441
- " <td>9021</td>\n",
442
- " <td>9021</td>\n",
443
- " <td>9021</td>\n",
444
  " </tr>\n",
445
  " <tr>\n",
446
  " <th>olanesti_DJI_0416_full</th>\n",
@@ -604,29 +598,6 @@
604
  " <td>6264</td>\n",
605
  " </tr>\n",
606
  " <tr>\n",
607
- " <th>rome_youtube_1_540p</th>\n",
608
- " <td>14074</td>\n",
609
- " <td>14074</td>\n",
610
- " <td>14074</td>\n",
611
- " <td>14074</td>\n",
612
- " <td>14074</td>\n",
613
- " <td>14074</td>\n",
614
- " <td>14074</td>\n",
615
- " <td>14074</td>\n",
616
- " <td>14074</td>\n",
617
- " <td>14074</td>\n",
618
- " <td>14074</td>\n",
619
- " <td>14074</td>\n",
620
- " <td>14074</td>\n",
621
- " <td>14074</td>\n",
622
- " <td>14074</td>\n",
623
- " <td>14074</td>\n",
624
- " <td>14074</td>\n",
625
- " <td>14074</td>\n",
626
- " <td>14074</td>\n",
627
- " <td>14074</td>\n",
628
- " </tr>\n",
629
- " <tr>\n",
630
  " <th>sanfrancisco_youtube_1_540p</th>\n",
631
  " <td>5635</td>\n",
632
  " <td>5635</td>\n",
@@ -650,6 +621,29 @@
650
  " <td>5635</td>\n",
651
  " </tr>\n",
652
  " <tr>\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
653
  " <th>slanic_DJI_0956_0957_combined_sliced_780_9780</th>\n",
654
  " <td>9001</td>\n",
655
  " <td>9001</td>\n",
@@ -674,26 +668,26 @@
674
  " </tr>\n",
675
  " <tr>\n",
676
  " <th>total</th>\n",
677
- " <td>160254</td>\n",
678
- " <td>160254</td>\n",
679
- " <td>160254</td>\n",
680
- " <td>95534</td>\n",
681
- " <td>160254</td>\n",
682
- " <td>160254</td>\n",
683
- " <td>95534</td>\n",
684
- " <td>160254</td>\n",
685
- " <td>160254</td>\n",
686
- " <td>160254</td>\n",
687
- " <td>160254</td>\n",
688
- " <td>160254</td>\n",
689
- " <td>160254</td>\n",
690
- " <td>160254</td>\n",
691
- " <td>160254</td>\n",
692
- " <td>160254</td>\n",
693
- " <td>99685</td>\n",
694
- " <td>160254</td>\n",
695
- " <td>160254</td>\n",
696
- " <td>160254</td>\n",
697
  " </tr>\n",
698
  " </tbody>\n",
699
  "</table>\n",
@@ -709,7 +703,7 @@
709
  "herculane_DJI_0021_full 9022 9022 \n",
710
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 11066 \n",
711
  "norway_210821_DJI_0015_full 2983 2983 \n",
712
- "norway_DJI_0741_540p 9021 9021 \n",
713
  "olanesti_DJI_0416_full 9022 9022 \n",
714
  "ovaselu_DJI_0372_540p 9022 9022 \n",
715
  "paris_youtube_1_540p 8455 8455 \n",
@@ -717,10 +711,10 @@
717
  "politehnica_DJI_0741_a2_540p 9021 9021 \n",
718
  "raciu_DJI_0418_540p 9022 9022 \n",
719
  "riodejaneiro_youtube_1_540p 6264 6264 \n",
720
- "rome_youtube_1_540p 14074 14074 \n",
721
  "sanfrancisco_youtube_1_540p 5635 5635 \n",
 
722
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 9001 \n",
723
- "total 160254 160254 \n",
724
  "\n",
725
  " buildings(nearby) \\\n",
726
  "scene \n",
@@ -731,7 +725,7 @@
731
  "herculane_DJI_0021_full 9022 \n",
732
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
733
  "norway_210821_DJI_0015_full 2983 \n",
734
- "norway_DJI_0741_540p 9021 \n",
735
  "olanesti_DJI_0416_full 9022 \n",
736
  "ovaselu_DJI_0372_540p 9022 \n",
737
  "paris_youtube_1_540p 8455 \n",
@@ -739,10 +733,10 @@
739
  "politehnica_DJI_0741_a2_540p 9021 \n",
740
  "raciu_DJI_0418_540p 9022 \n",
741
  "riodejaneiro_youtube_1_540p 6264 \n",
742
- "rome_youtube_1_540p 14074 \n",
743
  "sanfrancisco_youtube_1_540p 5635 \n",
 
744
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
745
- "total 160254 \n",
746
  "\n",
747
  " camera_normals_output \\\n",
748
  "scene \n",
@@ -753,7 +747,7 @@
753
  "herculane_DJI_0021_full 847 \n",
754
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 1452 \n",
755
  "norway_210821_DJI_0015_full 0 \n",
756
- "norway_DJI_0741_540p 9021 \n",
757
  "olanesti_DJI_0416_full 1210 \n",
758
  "ovaselu_DJI_0372_540p 9022 \n",
759
  "paris_youtube_1_540p 8455 \n",
@@ -761,10 +755,10 @@
761
  "politehnica_DJI_0741_a2_540p 9021 \n",
762
  "raciu_DJI_0418_540p 9022 \n",
763
  "riodejaneiro_youtube_1_540p 6264 \n",
764
- "rome_youtube_1_540p 14074 \n",
765
  "sanfrancisco_youtube_1_540p 5635 \n",
 
766
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
767
- "total 95534 \n",
768
  "\n",
769
  " containing \\\n",
770
  "scene \n",
@@ -775,7 +769,7 @@
775
  "herculane_DJI_0021_full 9022 \n",
776
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
777
  "norway_210821_DJI_0015_full 2983 \n",
778
- "norway_DJI_0741_540p 9021 \n",
779
  "olanesti_DJI_0416_full 9022 \n",
780
  "ovaselu_DJI_0372_540p 9022 \n",
781
  "paris_youtube_1_540p 8455 \n",
@@ -783,10 +777,10 @@
783
  "politehnica_DJI_0741_a2_540p 9021 \n",
784
  "raciu_DJI_0418_540p 9022 \n",
785
  "riodejaneiro_youtube_1_540p 6264 \n",
786
- "rome_youtube_1_540p 14074 \n",
787
  "sanfrancisco_youtube_1_540p 5635 \n",
 
788
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
789
- "total 160254 \n",
790
  "\n",
791
  " depth_marigold \\\n",
792
  "scene \n",
@@ -797,7 +791,7 @@
797
  "herculane_DJI_0021_full 9022 \n",
798
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
799
  "norway_210821_DJI_0015_full 2983 \n",
800
- "norway_DJI_0741_540p 9021 \n",
801
  "olanesti_DJI_0416_full 9022 \n",
802
  "ovaselu_DJI_0372_540p 9022 \n",
803
  "paris_youtube_1_540p 8455 \n",
@@ -805,10 +799,10 @@
805
  "politehnica_DJI_0741_a2_540p 9021 \n",
806
  "raciu_DJI_0418_540p 9022 \n",
807
  "riodejaneiro_youtube_1_540p 6264 \n",
808
- "rome_youtube_1_540p 14074 \n",
809
  "sanfrancisco_youtube_1_540p 5635 \n",
 
810
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
811
- "total 160254 \n",
812
  "\n",
813
  " depth_output \\\n",
814
  "scene \n",
@@ -819,7 +813,7 @@
819
  "herculane_DJI_0021_full 847 \n",
820
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 1452 \n",
821
  "norway_210821_DJI_0015_full 0 \n",
822
- "norway_DJI_0741_540p 9021 \n",
823
  "olanesti_DJI_0416_full 1210 \n",
824
  "ovaselu_DJI_0372_540p 9022 \n",
825
  "paris_youtube_1_540p 8455 \n",
@@ -827,10 +821,10 @@
827
  "politehnica_DJI_0741_a2_540p 9021 \n",
828
  "raciu_DJI_0418_540p 9022 \n",
829
  "riodejaneiro_youtube_1_540p 6264 \n",
830
- "rome_youtube_1_540p 14074 \n",
831
  "sanfrancisco_youtube_1_540p 5635 \n",
 
832
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
833
- "total 95534 \n",
834
  "\n",
835
  " normals_svd(depth_marigold) \\\n",
836
  "scene \n",
@@ -841,7 +835,7 @@
841
  "herculane_DJI_0021_full 9022 \n",
842
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
843
  "norway_210821_DJI_0015_full 2983 \n",
844
- "norway_DJI_0741_540p 9021 \n",
845
  "olanesti_DJI_0416_full 9022 \n",
846
  "ovaselu_DJI_0372_540p 9022 \n",
847
  "paris_youtube_1_540p 8455 \n",
@@ -849,10 +843,10 @@
849
  "politehnica_DJI_0741_a2_540p 9021 \n",
850
  "raciu_DJI_0418_540p 9022 \n",
851
  "riodejaneiro_youtube_1_540p 6264 \n",
852
- "rome_youtube_1_540p 14074 \n",
853
  "sanfrancisco_youtube_1_540p 5635 \n",
 
854
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
855
- "total 160254 \n",
856
  "\n",
857
  " safe-landing-no-sseg \\\n",
858
  "scene \n",
@@ -863,7 +857,7 @@
863
  "herculane_DJI_0021_full 9022 \n",
864
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
865
  "norway_210821_DJI_0015_full 2983 \n",
866
- "norway_DJI_0741_540p 9021 \n",
867
  "olanesti_DJI_0416_full 9022 \n",
868
  "ovaselu_DJI_0372_540p 9022 \n",
869
  "paris_youtube_1_540p 8455 \n",
@@ -871,10 +865,10 @@
871
  "politehnica_DJI_0741_a2_540p 9021 \n",
872
  "raciu_DJI_0418_540p 9022 \n",
873
  "riodejaneiro_youtube_1_540p 6264 \n",
874
- "rome_youtube_1_540p 14074 \n",
875
  "sanfrancisco_youtube_1_540p 5635 \n",
 
876
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
877
- "total 160254 \n",
878
  "\n",
879
  " safe-landing-semantics \\\n",
880
  "scene \n",
@@ -885,7 +879,7 @@
885
  "herculane_DJI_0021_full 9022 \n",
886
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
887
  "norway_210821_DJI_0015_full 2983 \n",
888
- "norway_DJI_0741_540p 9021 \n",
889
  "olanesti_DJI_0416_full 9022 \n",
890
  "ovaselu_DJI_0372_540p 9022 \n",
891
  "paris_youtube_1_540p 8455 \n",
@@ -893,10 +887,10 @@
893
  "politehnica_DJI_0741_a2_540p 9021 \n",
894
  "raciu_DJI_0418_540p 9022 \n",
895
  "riodejaneiro_youtube_1_540p 6264 \n",
896
- "rome_youtube_1_540p 14074 \n",
897
  "sanfrancisco_youtube_1_540p 5635 \n",
 
898
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
899
- "total 160254 \n",
900
  "\n",
901
  " semantic_mask2former_coco_47429163_0 \\\n",
902
  "scene \n",
@@ -907,7 +901,7 @@
907
  "herculane_DJI_0021_full 9022 \n",
908
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
909
  "norway_210821_DJI_0015_full 2983 \n",
910
- "norway_DJI_0741_540p 9021 \n",
911
  "olanesti_DJI_0416_full 9022 \n",
912
  "ovaselu_DJI_0372_540p 9022 \n",
913
  "paris_youtube_1_540p 8455 \n",
@@ -915,10 +909,10 @@
915
  "politehnica_DJI_0741_a2_540p 9021 \n",
916
  "raciu_DJI_0418_540p 9022 \n",
917
  "riodejaneiro_youtube_1_540p 6264 \n",
918
- "rome_youtube_1_540p 14074 \n",
919
  "sanfrancisco_youtube_1_540p 5635 \n",
 
920
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
921
- "total 160254 \n",
922
  "\n",
923
  " semantic_mask2former_mapillary_49189528_0 \\\n",
924
  "scene \n",
@@ -929,7 +923,7 @@
929
  "herculane_DJI_0021_full 9022 \n",
930
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
931
  "norway_210821_DJI_0015_full 2983 \n",
932
- "norway_DJI_0741_540p 9021 \n",
933
  "olanesti_DJI_0416_full 9022 \n",
934
  "ovaselu_DJI_0372_540p 9022 \n",
935
  "paris_youtube_1_540p 8455 \n",
@@ -937,10 +931,10 @@
937
  "politehnica_DJI_0741_a2_540p 9021 \n",
938
  "raciu_DJI_0418_540p 9022 \n",
939
  "riodejaneiro_youtube_1_540p 6264 \n",
940
- "rome_youtube_1_540p 14074 \n",
941
  "sanfrancisco_youtube_1_540p 5635 \n",
 
942
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
943
- "total 160254 \n",
944
  "\n",
945
  " semantic_mask2former_mapillary_49189528_1 \\\n",
946
  "scene \n",
@@ -951,7 +945,7 @@
951
  "herculane_DJI_0021_full 9022 \n",
952
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
953
  "norway_210821_DJI_0015_full 2983 \n",
954
- "norway_DJI_0741_540p 9021 \n",
955
  "olanesti_DJI_0416_full 9022 \n",
956
  "ovaselu_DJI_0372_540p 9022 \n",
957
  "paris_youtube_1_540p 8455 \n",
@@ -959,10 +953,10 @@
959
  "politehnica_DJI_0741_a2_540p 9021 \n",
960
  "raciu_DJI_0418_540p 9022 \n",
961
  "riodejaneiro_youtube_1_540p 6264 \n",
962
- "rome_youtube_1_540p 14074 \n",
963
  "sanfrancisco_youtube_1_540p 5635 \n",
 
964
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
965
- "total 160254 \n",
966
  "\n",
967
  " semantic_mask2former_r50_mapillary_converted \\\n",
968
  "scene \n",
@@ -973,7 +967,7 @@
973
  "herculane_DJI_0021_full 9022 \n",
974
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
975
  "norway_210821_DJI_0015_full 2983 \n",
976
- "norway_DJI_0741_540p 9021 \n",
977
  "olanesti_DJI_0416_full 9022 \n",
978
  "ovaselu_DJI_0372_540p 9022 \n",
979
  "paris_youtube_1_540p 8455 \n",
@@ -981,10 +975,10 @@
981
  "politehnica_DJI_0741_a2_540p 9021 \n",
982
  "raciu_DJI_0418_540p 9022 \n",
983
  "riodejaneiro_youtube_1_540p 6264 \n",
984
- "rome_youtube_1_540p 14074 \n",
985
  "sanfrancisco_youtube_1_540p 5635 \n",
 
986
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
987
- "total 160254 \n",
988
  "\n",
989
  " semantic_mask2former_swin_coco_converted \\\n",
990
  "scene \n",
@@ -995,7 +989,7 @@
995
  "herculane_DJI_0021_full 9022 \n",
996
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
997
  "norway_210821_DJI_0015_full 2983 \n",
998
- "norway_DJI_0741_540p 9021 \n",
999
  "olanesti_DJI_0416_full 9022 \n",
1000
  "ovaselu_DJI_0372_540p 9022 \n",
1001
  "paris_youtube_1_540p 8455 \n",
@@ -1003,10 +997,10 @@
1003
  "politehnica_DJI_0741_a2_540p 9021 \n",
1004
  "raciu_DJI_0418_540p 9022 \n",
1005
  "riodejaneiro_youtube_1_540p 6264 \n",
1006
- "rome_youtube_1_540p 14074 \n",
1007
  "sanfrancisco_youtube_1_540p 5635 \n",
 
1008
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
1009
- "total 160254 \n",
1010
  "\n",
1011
  " semantic_mask2former_swin_mapillary_converted \\\n",
1012
  "scene \n",
@@ -1017,7 +1011,7 @@
1017
  "herculane_DJI_0021_full 9022 \n",
1018
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
1019
  "norway_210821_DJI_0015_full 2983 \n",
1020
- "norway_DJI_0741_540p 9021 \n",
1021
  "olanesti_DJI_0416_full 9022 \n",
1022
  "ovaselu_DJI_0372_540p 9022 \n",
1023
  "paris_youtube_1_540p 8455 \n",
@@ -1025,10 +1019,10 @@
1025
  "politehnica_DJI_0741_a2_540p 9021 \n",
1026
  "raciu_DJI_0418_540p 9022 \n",
1027
  "riodejaneiro_youtube_1_540p 6264 \n",
1028
- "rome_youtube_1_540p 14074 \n",
1029
  "sanfrancisco_youtube_1_540p 5635 \n",
 
1030
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
1031
- "total 160254 \n",
1032
  "\n",
1033
  " semantic_output \\\n",
1034
  "scene \n",
@@ -1039,7 +1033,7 @@
1039
  "herculane_DJI_0021_full 847 \n",
1040
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 1452 \n",
1041
  "norway_210821_DJI_0015_full 2941 \n",
1042
- "norway_DJI_0741_540p 9021 \n",
1043
  "olanesti_DJI_0416_full 1210 \n",
1044
  "ovaselu_DJI_0372_540p 9022 \n",
1045
  "paris_youtube_1_540p 8455 \n",
@@ -1047,10 +1041,10 @@
1047
  "politehnica_DJI_0741_a2_540p 9021 \n",
1048
  "raciu_DJI_0418_540p 9022 \n",
1049
  "riodejaneiro_youtube_1_540p 6264 \n",
1050
- "rome_youtube_1_540p 14074 \n",
1051
  "sanfrancisco_youtube_1_540p 5635 \n",
 
1052
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
1053
- "total 99685 \n",
1054
  "\n",
1055
  " sky-and-water \\\n",
1056
  "scene \n",
@@ -1061,7 +1055,7 @@
1061
  "herculane_DJI_0021_full 9022 \n",
1062
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
1063
  "norway_210821_DJI_0015_full 2983 \n",
1064
- "norway_DJI_0741_540p 9021 \n",
1065
  "olanesti_DJI_0416_full 9022 \n",
1066
  "ovaselu_DJI_0372_540p 9022 \n",
1067
  "paris_youtube_1_540p 8455 \n",
@@ -1069,10 +1063,10 @@
1069
  "politehnica_DJI_0741_a2_540p 9021 \n",
1070
  "raciu_DJI_0418_540p 9022 \n",
1071
  "riodejaneiro_youtube_1_540p 6264 \n",
1072
- "rome_youtube_1_540p 14074 \n",
1073
  "sanfrancisco_youtube_1_540p 5635 \n",
 
1074
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
1075
- "total 160254 \n",
1076
  "\n",
1077
  " transportation vegetation \n",
1078
  "scene \n",
@@ -1083,7 +1077,7 @@
1083
  "herculane_DJI_0021_full 9022 9022 \n",
1084
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 11066 \n",
1085
  "norway_210821_DJI_0015_full 2983 2983 \n",
1086
- "norway_DJI_0741_540p 9021 9021 \n",
1087
  "olanesti_DJI_0416_full 9022 9022 \n",
1088
  "ovaselu_DJI_0372_540p 9022 9022 \n",
1089
  "paris_youtube_1_540p 8455 8455 \n",
@@ -1091,10 +1085,10 @@
1091
  "politehnica_DJI_0741_a2_540p 9021 9021 \n",
1092
  "raciu_DJI_0418_540p 9022 9022 \n",
1093
  "riodejaneiro_youtube_1_540p 6264 6264 \n",
1094
- "rome_youtube_1_540p 14074 14074 \n",
1095
  "sanfrancisco_youtube_1_540p 5635 5635 \n",
 
1096
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 9001 \n",
1097
- "total 160254 160254 "
1098
  ]
1099
  },
1100
  "metadata": {},
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": 1,
6
  "metadata": {},
7
  "outputs": [],
8
  "source": [
 
11
  },
12
  {
13
  "cell_type": "code",
14
+ "execution_count": 2,
15
  "metadata": {},
16
  "outputs": [
17
  {
 
19
  "output_type": "stream",
20
  "text": [
21
  "ls: cannot access 'comana_DJI_0881_full/camera_normals_output/npz': No such file or directory\n",
22
+ "ls: cannot access 'comana_DJI_0881_full/depth_output/npz': No such file or directory\n",
 
 
 
 
 
 
23
  "ls: cannot access 'norway_210821_DJI_0015_full/camera_normals_output/npz': No such file or directory\n",
24
  "ls: cannot access 'norway_210821_DJI_0015_full/depth_output/npz': No such file or directory\n"
25
  ]
 
31
  },
32
  {
33
  "cell_type": "code",
34
+ "execution_count": 3,
35
  "metadata": {},
36
  "outputs": [
37
  {
 
174
  },
175
  {
176
  "cell_type": "code",
177
+ "execution_count": 4,
178
  "metadata": {},
179
  "outputs": [
180
  {
181
  "name": "stderr",
182
  "output_type": "stream",
183
  "text": [
184
+ "/tmp/ipykernel_78883/2846805734.py:4: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
185
  " df2 = df.groupby(\"scene\").apply(f).reset_index().drop(columns=[\"level_1\"]).set_index(\"scene\")\n"
186
  ]
187
  },
 
414
  " <td>2983</td>\n",
415
  " </tr>\n",
416
  " <tr>\n",
417
+ " <th>norway_DJI_0708_540p</th>\n",
418
+ " <td>4763</td>\n",
419
+ " <td>4763</td>\n",
420
+ " <td>4763</td>\n",
421
+ " <td>4763</td>\n",
422
+ " <td>4763</td>\n",
423
+ " <td>4763</td>\n",
424
+ " <td>4763</td>\n",
425
+ " <td>4763</td>\n",
426
+ " <td>4763</td>\n",
427
+ " <td>4763</td>\n",
428
+ " <td>4763</td>\n",
429
+ " <td>4763</td>\n",
430
+ " <td>4763</td>\n",
431
+ " <td>4763</td>\n",
432
+ " <td>4763</td>\n",
433
+ " <td>4763</td>\n",
434
+ " <td>4763</td>\n",
435
+ " <td>4763</td>\n",
436
+ " <td>4763</td>\n",
437
+ " <td>4763</td>\n",
438
  " </tr>\n",
439
  " <tr>\n",
440
  " <th>olanesti_DJI_0416_full</th>\n",
 
598
  " <td>6264</td>\n",
599
  " </tr>\n",
600
  " <tr>\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
601
  " <th>sanfrancisco_youtube_1_540p</th>\n",
602
  " <td>5635</td>\n",
603
  " <td>5635</td>\n",
 
621
  " <td>5635</td>\n",
622
  " </tr>\n",
623
  " <tr>\n",
624
+ " <th>sheerness_youtube_1_540p</th>\n",
625
+ " <td>4950</td>\n",
626
+ " <td>4950</td>\n",
627
+ " <td>4950</td>\n",
628
+ " <td>4950</td>\n",
629
+ " <td>4950</td>\n",
630
+ " <td>4950</td>\n",
631
+ " <td>4950</td>\n",
632
+ " <td>4950</td>\n",
633
+ " <td>4950</td>\n",
634
+ " <td>4950</td>\n",
635
+ " <td>4950</td>\n",
636
+ " <td>4950</td>\n",
637
+ " <td>4950</td>\n",
638
+ " <td>4950</td>\n",
639
+ " <td>4950</td>\n",
640
+ " <td>4950</td>\n",
641
+ " <td>4950</td>\n",
642
+ " <td>4950</td>\n",
643
+ " <td>4950</td>\n",
644
+ " <td>4950</td>\n",
645
+ " </tr>\n",
646
+ " <tr>\n",
647
  " <th>slanic_DJI_0956_0957_combined_sliced_780_9780</th>\n",
648
  " <td>9001</td>\n",
649
  " <td>9001</td>\n",
 
668
  " </tr>\n",
669
  " <tr>\n",
670
  " <th>total</th>\n",
671
+ " <td>146872</td>\n",
672
+ " <td>146872</td>\n",
673
+ " <td>146872</td>\n",
674
+ " <td>82152</td>\n",
675
+ " <td>146872</td>\n",
676
+ " <td>146872</td>\n",
677
+ " <td>82152</td>\n",
678
+ " <td>146872</td>\n",
679
+ " <td>146872</td>\n",
680
+ " <td>146872</td>\n",
681
+ " <td>146872</td>\n",
682
+ " <td>146872</td>\n",
683
+ " <td>146872</td>\n",
684
+ " <td>146872</td>\n",
685
+ " <td>146872</td>\n",
686
+ " <td>146872</td>\n",
687
+ " <td>86303</td>\n",
688
+ " <td>146872</td>\n",
689
+ " <td>146872</td>\n",
690
+ " <td>146872</td>\n",
691
  " </tr>\n",
692
  " </tbody>\n",
693
  "</table>\n",
 
703
  "herculane_DJI_0021_full 9022 9022 \n",
704
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 11066 \n",
705
  "norway_210821_DJI_0015_full 2983 2983 \n",
706
+ "norway_DJI_0708_540p 4763 4763 \n",
707
  "olanesti_DJI_0416_full 9022 9022 \n",
708
  "ovaselu_DJI_0372_540p 9022 9022 \n",
709
  "paris_youtube_1_540p 8455 8455 \n",
 
711
  "politehnica_DJI_0741_a2_540p 9021 9021 \n",
712
  "raciu_DJI_0418_540p 9022 9022 \n",
713
  "riodejaneiro_youtube_1_540p 6264 6264 \n",
 
714
  "sanfrancisco_youtube_1_540p 5635 5635 \n",
715
+ "sheerness_youtube_1_540p 4950 4950 \n",
716
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 9001 \n",
717
+ "total 146872 146872 \n",
718
  "\n",
719
  " buildings(nearby) \\\n",
720
  "scene \n",
 
725
  "herculane_DJI_0021_full 9022 \n",
726
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
727
  "norway_210821_DJI_0015_full 2983 \n",
728
+ "norway_DJI_0708_540p 4763 \n",
729
  "olanesti_DJI_0416_full 9022 \n",
730
  "ovaselu_DJI_0372_540p 9022 \n",
731
  "paris_youtube_1_540p 8455 \n",
 
733
  "politehnica_DJI_0741_a2_540p 9021 \n",
734
  "raciu_DJI_0418_540p 9022 \n",
735
  "riodejaneiro_youtube_1_540p 6264 \n",
 
736
  "sanfrancisco_youtube_1_540p 5635 \n",
737
+ "sheerness_youtube_1_540p 4950 \n",
738
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
739
+ "total 146872 \n",
740
  "\n",
741
  " camera_normals_output \\\n",
742
  "scene \n",
 
747
  "herculane_DJI_0021_full 847 \n",
748
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 1452 \n",
749
  "norway_210821_DJI_0015_full 0 \n",
750
+ "norway_DJI_0708_540p 4763 \n",
751
  "olanesti_DJI_0416_full 1210 \n",
752
  "ovaselu_DJI_0372_540p 9022 \n",
753
  "paris_youtube_1_540p 8455 \n",
 
755
  "politehnica_DJI_0741_a2_540p 9021 \n",
756
  "raciu_DJI_0418_540p 9022 \n",
757
  "riodejaneiro_youtube_1_540p 6264 \n",
 
758
  "sanfrancisco_youtube_1_540p 5635 \n",
759
+ "sheerness_youtube_1_540p 4950 \n",
760
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
761
+ "total 82152 \n",
762
  "\n",
763
  " containing \\\n",
764
  "scene \n",
 
769
  "herculane_DJI_0021_full 9022 \n",
770
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
771
  "norway_210821_DJI_0015_full 2983 \n",
772
+ "norway_DJI_0708_540p 4763 \n",
773
  "olanesti_DJI_0416_full 9022 \n",
774
  "ovaselu_DJI_0372_540p 9022 \n",
775
  "paris_youtube_1_540p 8455 \n",
 
777
  "politehnica_DJI_0741_a2_540p 9021 \n",
778
  "raciu_DJI_0418_540p 9022 \n",
779
  "riodejaneiro_youtube_1_540p 6264 \n",
 
780
  "sanfrancisco_youtube_1_540p 5635 \n",
781
+ "sheerness_youtube_1_540p 4950 \n",
782
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
783
+ "total 146872 \n",
784
  "\n",
785
  " depth_marigold \\\n",
786
  "scene \n",
 
791
  "herculane_DJI_0021_full 9022 \n",
792
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
793
  "norway_210821_DJI_0015_full 2983 \n",
794
+ "norway_DJI_0708_540p 4763 \n",
795
  "olanesti_DJI_0416_full 9022 \n",
796
  "ovaselu_DJI_0372_540p 9022 \n",
797
  "paris_youtube_1_540p 8455 \n",
 
799
  "politehnica_DJI_0741_a2_540p 9021 \n",
800
  "raciu_DJI_0418_540p 9022 \n",
801
  "riodejaneiro_youtube_1_540p 6264 \n",
 
802
  "sanfrancisco_youtube_1_540p 5635 \n",
803
+ "sheerness_youtube_1_540p 4950 \n",
804
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
805
+ "total 146872 \n",
806
  "\n",
807
  " depth_output \\\n",
808
  "scene \n",
 
813
  "herculane_DJI_0021_full 847 \n",
814
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 1452 \n",
815
  "norway_210821_DJI_0015_full 0 \n",
816
+ "norway_DJI_0708_540p 4763 \n",
817
  "olanesti_DJI_0416_full 1210 \n",
818
  "ovaselu_DJI_0372_540p 9022 \n",
819
  "paris_youtube_1_540p 8455 \n",
 
821
  "politehnica_DJI_0741_a2_540p 9021 \n",
822
  "raciu_DJI_0418_540p 9022 \n",
823
  "riodejaneiro_youtube_1_540p 6264 \n",
 
824
  "sanfrancisco_youtube_1_540p 5635 \n",
825
+ "sheerness_youtube_1_540p 4950 \n",
826
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
827
+ "total 82152 \n",
828
  "\n",
829
  " normals_svd(depth_marigold) \\\n",
830
  "scene \n",
 
835
  "herculane_DJI_0021_full 9022 \n",
836
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
837
  "norway_210821_DJI_0015_full 2983 \n",
838
+ "norway_DJI_0708_540p 4763 \n",
839
  "olanesti_DJI_0416_full 9022 \n",
840
  "ovaselu_DJI_0372_540p 9022 \n",
841
  "paris_youtube_1_540p 8455 \n",
 
843
  "politehnica_DJI_0741_a2_540p 9021 \n",
844
  "raciu_DJI_0418_540p 9022 \n",
845
  "riodejaneiro_youtube_1_540p 6264 \n",
 
846
  "sanfrancisco_youtube_1_540p 5635 \n",
847
+ "sheerness_youtube_1_540p 4950 \n",
848
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
849
+ "total 146872 \n",
850
  "\n",
851
  " safe-landing-no-sseg \\\n",
852
  "scene \n",
 
857
  "herculane_DJI_0021_full 9022 \n",
858
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
859
  "norway_210821_DJI_0015_full 2983 \n",
860
+ "norway_DJI_0708_540p 4763 \n",
861
  "olanesti_DJI_0416_full 9022 \n",
862
  "ovaselu_DJI_0372_540p 9022 \n",
863
  "paris_youtube_1_540p 8455 \n",
 
865
  "politehnica_DJI_0741_a2_540p 9021 \n",
866
  "raciu_DJI_0418_540p 9022 \n",
867
  "riodejaneiro_youtube_1_540p 6264 \n",
 
868
  "sanfrancisco_youtube_1_540p 5635 \n",
869
+ "sheerness_youtube_1_540p 4950 \n",
870
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
871
+ "total 146872 \n",
872
  "\n",
873
  " safe-landing-semantics \\\n",
874
  "scene \n",
 
879
  "herculane_DJI_0021_full 9022 \n",
880
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
881
  "norway_210821_DJI_0015_full 2983 \n",
882
+ "norway_DJI_0708_540p 4763 \n",
883
  "olanesti_DJI_0416_full 9022 \n",
884
  "ovaselu_DJI_0372_540p 9022 \n",
885
  "paris_youtube_1_540p 8455 \n",
 
887
  "politehnica_DJI_0741_a2_540p 9021 \n",
888
  "raciu_DJI_0418_540p 9022 \n",
889
  "riodejaneiro_youtube_1_540p 6264 \n",
 
890
  "sanfrancisco_youtube_1_540p 5635 \n",
891
+ "sheerness_youtube_1_540p 4950 \n",
892
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
893
+ "total 146872 \n",
894
  "\n",
895
  " semantic_mask2former_coco_47429163_0 \\\n",
896
  "scene \n",
 
901
  "herculane_DJI_0021_full 9022 \n",
902
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
903
  "norway_210821_DJI_0015_full 2983 \n",
904
+ "norway_DJI_0708_540p 4763 \n",
905
  "olanesti_DJI_0416_full 9022 \n",
906
  "ovaselu_DJI_0372_540p 9022 \n",
907
  "paris_youtube_1_540p 8455 \n",
 
909
  "politehnica_DJI_0741_a2_540p 9021 \n",
910
  "raciu_DJI_0418_540p 9022 \n",
911
  "riodejaneiro_youtube_1_540p 6264 \n",
 
912
  "sanfrancisco_youtube_1_540p 5635 \n",
913
+ "sheerness_youtube_1_540p 4950 \n",
914
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
915
+ "total 146872 \n",
916
  "\n",
917
  " semantic_mask2former_mapillary_49189528_0 \\\n",
918
  "scene \n",
 
923
  "herculane_DJI_0021_full 9022 \n",
924
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
925
  "norway_210821_DJI_0015_full 2983 \n",
926
+ "norway_DJI_0708_540p 4763 \n",
927
  "olanesti_DJI_0416_full 9022 \n",
928
  "ovaselu_DJI_0372_540p 9022 \n",
929
  "paris_youtube_1_540p 8455 \n",
 
931
  "politehnica_DJI_0741_a2_540p 9021 \n",
932
  "raciu_DJI_0418_540p 9022 \n",
933
  "riodejaneiro_youtube_1_540p 6264 \n",
 
934
  "sanfrancisco_youtube_1_540p 5635 \n",
935
+ "sheerness_youtube_1_540p 4950 \n",
936
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
937
+ "total 146872 \n",
938
  "\n",
939
  " semantic_mask2former_mapillary_49189528_1 \\\n",
940
  "scene \n",
 
945
  "herculane_DJI_0021_full 9022 \n",
946
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
947
  "norway_210821_DJI_0015_full 2983 \n",
948
+ "norway_DJI_0708_540p 4763 \n",
949
  "olanesti_DJI_0416_full 9022 \n",
950
  "ovaselu_DJI_0372_540p 9022 \n",
951
  "paris_youtube_1_540p 8455 \n",
 
953
  "politehnica_DJI_0741_a2_540p 9021 \n",
954
  "raciu_DJI_0418_540p 9022 \n",
955
  "riodejaneiro_youtube_1_540p 6264 \n",
 
956
  "sanfrancisco_youtube_1_540p 5635 \n",
957
+ "sheerness_youtube_1_540p 4950 \n",
958
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
959
+ "total 146872 \n",
960
  "\n",
961
  " semantic_mask2former_r50_mapillary_converted \\\n",
962
  "scene \n",
 
967
  "herculane_DJI_0021_full 9022 \n",
968
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
969
  "norway_210821_DJI_0015_full 2983 \n",
970
+ "norway_DJI_0708_540p 4763 \n",
971
  "olanesti_DJI_0416_full 9022 \n",
972
  "ovaselu_DJI_0372_540p 9022 \n",
973
  "paris_youtube_1_540p 8455 \n",
 
975
  "politehnica_DJI_0741_a2_540p 9021 \n",
976
  "raciu_DJI_0418_540p 9022 \n",
977
  "riodejaneiro_youtube_1_540p 6264 \n",
 
978
  "sanfrancisco_youtube_1_540p 5635 \n",
979
+ "sheerness_youtube_1_540p 4950 \n",
980
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
981
+ "total 146872 \n",
982
  "\n",
983
  " semantic_mask2former_swin_coco_converted \\\n",
984
  "scene \n",
 
989
  "herculane_DJI_0021_full 9022 \n",
990
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
991
  "norway_210821_DJI_0015_full 2983 \n",
992
+ "norway_DJI_0708_540p 4763 \n",
993
  "olanesti_DJI_0416_full 9022 \n",
994
  "ovaselu_DJI_0372_540p 9022 \n",
995
  "paris_youtube_1_540p 8455 \n",
 
997
  "politehnica_DJI_0741_a2_540p 9021 \n",
998
  "raciu_DJI_0418_540p 9022 \n",
999
  "riodejaneiro_youtube_1_540p 6264 \n",
 
1000
  "sanfrancisco_youtube_1_540p 5635 \n",
1001
+ "sheerness_youtube_1_540p 4950 \n",
1002
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
1003
+ "total 146872 \n",
1004
  "\n",
1005
  " semantic_mask2former_swin_mapillary_converted \\\n",
1006
  "scene \n",
 
1011
  "herculane_DJI_0021_full 9022 \n",
1012
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
1013
  "norway_210821_DJI_0015_full 2983 \n",
1014
+ "norway_DJI_0708_540p 4763 \n",
1015
  "olanesti_DJI_0416_full 9022 \n",
1016
  "ovaselu_DJI_0372_540p 9022 \n",
1017
  "paris_youtube_1_540p 8455 \n",
 
1019
  "politehnica_DJI_0741_a2_540p 9021 \n",
1020
  "raciu_DJI_0418_540p 9022 \n",
1021
  "riodejaneiro_youtube_1_540p 6264 \n",
 
1022
  "sanfrancisco_youtube_1_540p 5635 \n",
1023
+ "sheerness_youtube_1_540p 4950 \n",
1024
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
1025
+ "total 146872 \n",
1026
  "\n",
1027
  " semantic_output \\\n",
1028
  "scene \n",
 
1033
  "herculane_DJI_0021_full 847 \n",
1034
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 1452 \n",
1035
  "norway_210821_DJI_0015_full 2941 \n",
1036
+ "norway_DJI_0708_540p 4763 \n",
1037
  "olanesti_DJI_0416_full 1210 \n",
1038
  "ovaselu_DJI_0372_540p 9022 \n",
1039
  "paris_youtube_1_540p 8455 \n",
 
1041
  "politehnica_DJI_0741_a2_540p 9021 \n",
1042
  "raciu_DJI_0418_540p 9022 \n",
1043
  "riodejaneiro_youtube_1_540p 6264 \n",
 
1044
  "sanfrancisco_youtube_1_540p 5635 \n",
1045
+ "sheerness_youtube_1_540p 4950 \n",
1046
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
1047
+ "total 86303 \n",
1048
  "\n",
1049
  " sky-and-water \\\n",
1050
  "scene \n",
 
1055
  "herculane_DJI_0021_full 9022 \n",
1056
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 \n",
1057
  "norway_210821_DJI_0015_full 2983 \n",
1058
+ "norway_DJI_0708_540p 4763 \n",
1059
  "olanesti_DJI_0416_full 9022 \n",
1060
  "ovaselu_DJI_0372_540p 9022 \n",
1061
  "paris_youtube_1_540p 8455 \n",
 
1063
  "politehnica_DJI_0741_a2_540p 9021 \n",
1064
  "raciu_DJI_0418_540p 9022 \n",
1065
  "riodejaneiro_youtube_1_540p 6264 \n",
 
1066
  "sanfrancisco_youtube_1_540p 5635 \n",
1067
+ "sheerness_youtube_1_540p 4950 \n",
1068
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 \n",
1069
+ "total 146872 \n",
1070
  "\n",
1071
  " transportation vegetation \n",
1072
  "scene \n",
 
1077
  "herculane_DJI_0021_full 9022 9022 \n",
1078
  "jupiter_DJI_0703_0704_0705_combined_sliced_1065... 11066 11066 \n",
1079
  "norway_210821_DJI_0015_full 2983 2983 \n",
1080
+ "norway_DJI_0708_540p 4763 4763 \n",
1081
  "olanesti_DJI_0416_full 9022 9022 \n",
1082
  "ovaselu_DJI_0372_540p 9022 9022 \n",
1083
  "paris_youtube_1_540p 8455 8455 \n",
 
1085
  "politehnica_DJI_0741_a2_540p 9021 9021 \n",
1086
  "raciu_DJI_0418_540p 9022 9022 \n",
1087
  "riodejaneiro_youtube_1_540p 6264 6264 \n",
 
1088
  "sanfrancisco_youtube_1_540p 5635 5635 \n",
1089
+ "sheerness_youtube_1_540p 4950 4950 \n",
1090
  "slanic_DJI_0956_0957_combined_sliced_780_9780 9001 9001 \n",
1091
+ "total 146872 146872 "
1092
  ]
1093
  },
1094
  "metadata": {},