Welcome to mirror list, hosted at ThFree Co, Russian Federation.

DepthMap.py « aliceVision « nodes « meshroom - github.com/alicevision/meshroom.git - Unnamed repository; edit this file 'description' to name the repository.
summaryrefslogtreecommitdiff
blob: 6f1508540d410922141913d4a21ec865806f9f77 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
__version__ = "2.0"

from meshroom.core import desc


class DepthMap(desc.CommandLineNode):
    commandLine = 'aliceVision_depthMapEstimation {allParams}'
    gpu = desc.Level.INTENSIVE
    size = desc.DynamicNodeSize('input')
    parallelization = desc.Parallelization(blockSize=3)
    commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'

    category = 'Dense Reconstruction'
    documentation = '''
For each camera that have been estimated by the Structure-From-Motion, it estimates the depth value per pixel.

Adjust the downscale factor to compute depth maps at a higher/lower resolution.
Use a downscale factor of one (full-resolution) only if the quality of the input images is really high (camera on a tripod with high-quality optics).

## Online
[https://alicevision.org/#photogrammetry/depth_maps_estimation](https://alicevision.org/#photogrammetry/depth_maps_estimation)
'''

    inputs = [
        desc.File(
            name='input',
            label='SfMData',
            description='SfMData file.',
            value='',
            uid=[0],
        ),        
        desc.File(
            name='imagesFolder',
            label='Images Folder',
            description='Use images from a specific folder instead of those specify in the SfMData file.\nFilename should be the image uid.',
            value='',
            uid=[0],
        ),
       desc.ChoiceParam(
            name='downscale',
            label='Downscale',
            description='Image downscale factor.',
            value=2,
            values=[1, 2, 4, 8, 16],
            exclusive=True,
            uid=[0],
        ),
        desc.FloatParam(
            name='minViewAngle',
            label='Min View Angle',
            description='Minimum angle between two views.',
            value=2.0,
            range=(0.0, 10.0, 0.1),
            uid=[0],
            advanced=True,
        ),
        desc.FloatParam(
            name='maxViewAngle',
            label='Max View Angle',
            description='Maximum angle between two views.',
            value=70.0,
            range=(10.0, 120.0, 1.0),
            uid=[0],
            advanced=True,
        ),
        desc.IntParam(
            name='sgmScale',
            label='SGM: Downscale factor',
            description='Semi Global Matching: Downscale factor used to compute the similarity volume.',
            value=-1,
            range=(-1, 10, 1),
            uid=[0],
        ),
        desc.IntParam(
            name='sgmStepXY',
            label='SGM: Step XY',
            description='Semi Global Matching: Step used to compute the similarity volume on X and Y axis.',
            value=-1,
            range=(-1, 10, 1),
            uid=[0],
        ),
        desc.IntParam(
            name='sgmStepZ',
            label='SGM: Step Z',
            description='Semi Global Matching: Step used to compute the similarity volume on Z axis.',
            value=-1,
            range=(-1, 10, 1),
            uid=[0],
        ),
        desc.IntParam(
            name='sgmMaxSideXY',
            label='SGM: Max Side',
            description='Semi Global Matching: Max side in pixels used to automatically decide for sgmScale/sgmStep if not defined.',
            value=700,
            range=(-1, 1000, 1),
            uid=[0],
        ),
        desc.IntParam(
            name='sgmMaxTCams',
            label='SGM: Nb Neighbour Cameras',
            description='Semi Global Matching: Number of neighbour cameras.',
            value=10,
            range=(1, 100, 1),
            uid=[0],
        ),
        desc.IntParam(
            name='sgmWSH',
            label='SGM: WSH',
            description='Semi Global Matching: Half-size of the patch used to compute the similarity.',
            value=4,
            range=(1, 20, 1),
            uid=[0],
            advanced=True,
        ),
        desc.FloatParam(
            name='sgmGammaC',
            label='SGM: GammaC',
            description='Semi Global Matching: GammaC Threshold.',
            value=5.5,
            range=(0.0, 30.0, 0.5),
            uid=[0],
            advanced=True,
        ),
        desc.FloatParam(
            name='sgmGammaP',
            label='SGM: GammaP',
            description='Semi Global Matching: GammaP Threshold.',
            value=8.0,
            range=(0.0, 30.0, 0.5),
            uid=[0],
            advanced=True,
        ),

        desc.FloatParam(
            name='sgmP1',
            label='SGM: P1',
            description='Semi Global Matching: P1.',
            value=10.0,
            range=(0.0, 255.0, 0.5),
            uid=[0],
            advanced=True,
        ),
        desc.FloatParam(
            name='sgmP2',
            label='SGM: P2',
            description='Semi Global Matching: P2 weight.',
            value=100.0,
            range=(-255.0, 255.0, 0.5),
            uid=[0],
            advanced=True,
        ),
        desc.IntParam(
            name='sgmMaxDepths',
            label='SGM: Max Depths',
            description='Semi Global Matching: Max number of depths in the overall similarity volume.',
            value=3000,
            range=(1, 5000, 1),
            uid=[0],
            advanced=True,
        ),
        desc.IntParam(
            name='sgmMaxDepthsPerTc',
            label='SGM: Max Depths Per Camera Pairs',
            description='Semi Global Matching: Max number of depths to sweep in the similarity volume per Rc/Tc cameras.',
            value=1500,
            range=(1, 5000, 1),
            uid=[0],
            advanced=True,
        ),
        desc.BoolParam(
            name='sgmUseSfmSeeds',
            label='SGM: Use SfM Landmarks',
            description='Semi Global Matching: Use landmarks from SfM to define the ranges for the plane sweeping.',
            value=True,
            uid=[0],
            advanced=True,
        ),
        desc.StringParam(
            name='sgmFilteringAxes',
            label='SGM: Filtering Axes',
            description="Semi Global Matching: Define axes for the filtering of the similarity volume.",
            value='YX',
            uid=[0],
            advanced=True,
        ),
        desc.IntParam( 
            name='refineMaxTCams', 
            label='Refine: Nb Neighbour Cameras', 
            description='Refine: Number of neighbour cameras.', 
            value=6, 
            range=(1, 20, 1), 
            uid=[0], 
        ), 
        desc.IntParam(
            name='refineNSamplesHalf',
            label='Refine: Number of Samples',
            description='Refine: Number of samples.',
            value=150,
            range=(1, 500, 10),
            uid=[0],
            advanced=True,
        ),
        desc.IntParam(
            name='refineNDepthsToRefine',
            label='Refine: Number of Depths',
            description='Refine: Number of depths.',
            value=31,
            range=(1, 100, 1),
            uid=[0],
            advanced=True,
        ),
        desc.IntParam(
            name='refineNiters',
            label='Refine: Number of Iterations',
            description='Refine:: Number of iterations.',
            value=100,
            range=(1, 500, 10),
            uid=[0],
            advanced=True,
        ),
        desc.IntParam(
            name='refineWSH',
            label='Refine: WSH',
            description='Refine: Half-size of the patch used to compute the similarity.',
            value=3,
            range=(1, 20, 1),
            uid=[0],
            advanced=True,
        ),
        desc.FloatParam(
            name='refineSigma',
            label='Refine: Sigma',
            description='Refine: Sigma Threshold.',
            value=15.0,
            range=(0.0, 30.0, 0.5),
            uid=[0],
            advanced=True,
        ),
        desc.FloatParam(
            name='refineGammaC',
            label='Refine: GammaC',
            description='Refine: GammaC Threshold.',
            value=15.5,
            range=(0.0, 30.0, 0.5),
            uid=[0],
            advanced=True,
        ),
        desc.FloatParam(
            name='refineGammaP',
            label='Refine: GammaP',
            description='Refine: GammaP threshold.',
            value=8.0,
            range=(0.0, 30.0, 0.5),
            uid=[0],
            advanced=True,
        ),
        desc.BoolParam(
            name='refineUseTcOrRcPixSize',
            label='Refine: Tc or Rc pixel size',
            description='Refine: Use minimum pixel size of neighbour cameras (Tc) or current camera pixel size (Rc)',
            value=False,
            uid=[0],
            advanced=True,
        ),
        desc.BoolParam(
            name='exportIntermediateResults',
            label='Export Intermediate Results',
            description='Export intermediate results from the SGM and Refine steps.',
            value=False,
            uid=[],
            advanced=True,
        ),
        desc.IntParam(
            name='nbGPUs',
            label='Number of GPUs',
            description='Number of GPUs to use (0 means use all available GPUs).',
            value=0,
            range=(0, 5, 1),
            uid=[],
            advanced=True,
        ),
        desc.ChoiceParam(
            name='verboseLevel',
            label='Verbose Level',
            description='''verbosity level (fatal, error, warning, info, debug, trace).''',
            value='info',
            values=['fatal', 'error', 'warning', 'info', 'debug', 'trace'],
            exclusive=True,
            uid=[],
        ),
    ]

    outputs = [
        desc.File(
            name='output',
            label='Folder',
            description='Output folder for generated depth maps.',
            value=desc.Node.internalFolder,
            uid=[],
        ),
        # these attributes are only here to describe more accurately the output of the node
        # by specifying that it generates 2 sequences of images
        # (see in Viewer2D.qml how these attributes can be used)
        desc.File(
            name='depth',
            label='Depth Maps',
            description='Generated depth maps.',
            semantic='image',
            value=desc.Node.internalFolder + '<VIEW_ID>_depthMap.exr',
            uid=[],
            group='', # do not export on the command line
        ),
        desc.File(
            name='sim',
            label='Sim Maps',
            description='Generated sim maps.',
            semantic='image',
            value=desc.Node.internalFolder + '<VIEW_ID>_simMap.exr',
            uid=[],
            group='', # do not export on the command line
        ),
    ]