Hi Everyone!
I’m having some trouble getting webodm to work after the update. Previously it was OK, but I kept getting an error about ram, so I processed with lightning nodes, and got a decent output, but not what I had expected.
I upgraded to a new machine with an i7 and 64gb of ram and ran the dataset again, admittedly with higher-than-normal settings. (pc ultra, etc). After 8 hours it exited code 1.
Here is the output:
… output truncated at 500 lines …
Filtered depth-maps 360 (100%, 14m1s904ms)
Fused depth-maps 0 (0.00%, 1s, ETA 0ms)…
Fused depth-maps 1 (0.28%, 2s, ETA 0ms)…
Fused depth-maps 2 (0.56%, 3s, ETA 0ms)…
Fused depth-maps 3 (0.83%, 4s, ETA 0ms)…
Fused depth-maps 4 (1.11%, 5s, ETA 7m)…
Fused depth-maps 5 (1.39%, 6s, ETA 7m)…
Fused depth-maps 6 (1.67%, 7s, ETA 7m)…
Fused depth-maps 7 (1.94%, 8s, ETA 7m)…
Fused depth-maps 8 (2.22%, 9s, ETA 7m)…
Fused depth-maps 9 (2.50%, 10s, ETA 6m)…
Fused depth-maps 10 (2.78%, 11s, ETA 6m)…
Fused depth-maps 11 (3.06%, 12s, ETA 6m)…
Fused depth-maps 12 (3.33%, 13s, ETA 6m)…
Fused depth-maps 13 (3.61%, 14s, ETA 6m)…
Fused depth-maps 14 (3.89%, 15s, ETA 6m)…
Fused depth-maps 15 (4.17%, 16s, ETA 6m)…
Fused depth-maps 16 (4.44%, 17s, ETA 6m)…
Fused depth-maps 17 (4.72%, 18s, ETA 6m)…
Fused depth-maps 18 (5.00%, 20s, ETA 6m)…
Fused depth-maps 19 (5.28%, 21s, ETA 6m)…
Fused depth-maps 20 (5.56%, 22s, ETA 6m)…
Fused depth-maps 21 (5.83%, 23s, ETA 6m)…
Fused depth-maps 22 (6.11%, 24s, ETA 6m)…
Fused depth-maps 23 (6.39%, 25s, ETA 6m)…
Fused depth-maps 24 (6.67%, 26s, ETA 6m)…
Fused depth-maps 25 (6.94%, 27s, ETA 6m)…
Fused depth-maps 26 (7.22%, 28s, ETA 6m)…
Fused depth-maps 27 (7.50%, 28s, ETA 5m)…
Fused depth-maps 28 (7.78%, 29s, ETA 5m)…
Fused depth-maps 29 (8.06%, 30s, ETA 5m)…
Fused depth-maps 30 (8.33%, 32s, ETA 5m)…
Fused depth-maps 31 (8.61%, 33s, ETA 5m)…
Fused depth-maps 32 (8.89%, 34s, ETA 5m)…
Fused depth-maps 33 (9.17%, 35s, ETA 5m)…
Fused depth-maps 34 (9.44%, 36s, ETA 5m)…
Fused depth-maps 35 (9.72%, 37s, ETA 5m)…
Fused depth-maps 36 (10.00%, 38s, ETA 5m)…
Fused depth-maps 37 (10.28%, 39s, ETA 5m)…
Fused depth-maps 38 (10.56%, 40s, ETA 5m)…
Fused depth-maps 39 (10.83%, 41s, ETA 5m)…
Fused depth-maps 40 (11.11%, 42s, ETA 5m)…
Fused depth-maps 41 (11.39%, 43s, ETA 5m)…
Fused depth-maps 42 (11.67%, 44s, ETA 5m)…
Fused depth-maps 43 (11.94%, 45s, ETA 5m)…
Fused depth-maps 44 (12.22%, 46s, ETA 5m)…
Fused depth-maps 45 (12.50%, 47s, ETA 5m)…
Fused depth-maps 46 (12.78%, 48s, ETA 5m)…
Fused depth-maps 47 (13.06%, 49s, ETA 5m)…
Fused depth-maps 48 (13.33%, 50s, ETA 5m)…
Fused depth-maps 49 (13.61%, 51s, ETA 5m)…
Fused depth-maps 50 (13.89%, 52s, ETA 5m)…
Fused depth-maps 51 (14.17%, 53s, ETA 5m)…
Fused depth-maps 52 (14.44%, 55s, ETA 5m)…
Fused depth-maps 53 (14.72%, 56s, ETA 5m)…
Fused depth-maps 54 (15.00%, 57s, ETA 5m)…
Fused depth-maps 55 (15.28%, 58s, ETA 5m)…
Fused depth-maps 56 (15.56%, 59s, ETA 5m)…
Fused depth-maps 57 (15.83%, 1m, ETA 5m)…
Fused depth-maps 58 (16.11%, 1m1s, ETA 5m)…
Fused depth-maps 59 (16.39%, 1m2s, ETA 5m)…
Fused depth-maps 60 (16.67%, 1m2s, ETA 5m)…
Fused depth-maps 61 (16.94%, 1m3s, ETA 5m)…
Fused depth-maps 62 (17.22%, 1m5s, ETA 5m)…
Fused depth-maps 63 (17.50%, 1m6s, ETA 5m)…
Fused depth-maps 64 (17.78%, 1m6s, ETA 5m)…
Fused depth-maps 65 (18.06%, 1m7s, ETA 5m)…
Fused depth-maps 66 (18.33%, 1m9s, ETA 5m)…
Fused depth-maps 67 (18.61%, 1m10s, ETA 5m)…
Fused depth-maps 68 (18.89%, 1m10s, ETA 5m)…
Fused depth-maps 69 (19.17%, 1m11s, ETA 5m)…
Fused depth-maps 70 (19.44%, 1m12s, ETA 5m)…
Fused depth-maps 71 (19.72%, 1m13s, ETA 5m)…
Fused depth-maps 72 (20.00%, 1m14s, ETA 4m)…
Fused depth-maps 73 (20.28%, 1m15s, ETA 4m)…
Fused depth-maps 74 (20.56%, 1m16s, ETA 4m)…
Fused depth-maps 75 (20.83%, 1m17s, ETA 4m)…
Fused depth-maps 76 (21.11%, 1m18s, ETA 4m)…
Fused depth-maps 77 (21.39%, 1m19s, ETA 4m)…
Fused depth-maps 78 (21.67%, 1m20s, ETA 4m)…
Fused depth-maps 79 (21.94%, 1m21s, ETA 4m)…
Fused depth-maps 80 (22.22%, 1m22s, ETA 4m)…
Fused depth-maps 81 (22.50%, 1m23s, ETA 4m)…
Fused depth-maps 82 (22.78%, 1m24s, ETA 4m)…
Fused depth-maps 83 (23.06%, 1m25s, ETA 4m)…
Fused depth-maps 84 (23.33%, 1m26s, ETA 4m)…
Fused depth-maps 85 (23.61%, 1m26s, ETA 4m)…
Fused depth-maps 86 (23.89%, 1m27s, ETA 4m)…
Fused depth-maps 87 (24.17%, 1m28s, ETA 4m)…
Fused depth-maps 88 (24.44%, 1m29s, ETA 4m)…
Fused depth-maps 89 (24.72%, 1m30s, ETA 4m)…
Fused depth-maps 90 (25.00%, 1m31s, ETA 4m)…
Fused depth-maps 91 (25.28%, 1m32s, ETA 4m)…
Fused depth-maps 92 (25.56%, 1m33s, ETA 4m)…
Fused depth-maps 93 (25.83%, 1m34s, ETA 4m)…
Fused depth-maps 94 (26.11%, 1m35s, ETA 4m)…
Fused depth-maps 95 (26.39%, 1m36s, ETA 4m)…
Fused depth-maps 96 (26.67%, 1m37s, ETA 4m)…
Fused depth-maps 97 (26.94%, 1m38s, ETA 4m)…
Fused depth-maps 98 (27.22%, 1m39s, ETA 4m)…
Fused depth-maps 99 (27.50%, 1m40s, ETA 4m)…
Fused depth-maps 100 (27.78%, 1m41s, ETA 4m)…
Fused depth-maps 101 (28.06%, 1m41s, ETA 4m)…
Fused depth-maps 102 (28.33%, 1m42s, ETA 4m)…
Fused depth-maps 103 (28.61%, 1m43s, ETA 4m)…
Fused depth-maps 104 (28.89%, 1m44s, ETA 4m)…
Fused depth-maps 105 (29.17%, 1m45s, ETA 4m)…
Fused depth-maps 106 (29.44%, 1m46s, ETA 4m)…
Fused depth-maps 107 (29.72%, 1m47s, ETA 4m)…
Fused depth-maps 108 (30.00%, 1m48s, ETA 4m)…
Fused depth-maps 109 (30.28%, 1m49s, ETA 4m)…
Fused depth-maps 110 (30.56%, 1m50s, ETA 4m)…
Fused depth-maps 111 (30.83%, 1m51s, ETA 4m)…
Fused depth-maps 112 (31.11%, 1m51s, ETA 4m)…
Fused depth-maps 113 (31.39%, 1m53s, ETA 4m)…
Fused depth-maps 114 (31.67%, 1m54s, ETA 4m)…
Fused depth-maps 115 (31.94%, 1m54s, ETA 4m)…
Fused depth-maps 116 (32.22%, 1m56s, ETA 4m)…
Fused depth-maps 117 (32.50%, 1m57s, ETA 4m)…
Fused depth-maps 118 (32.78%, 1m57s, ETA 4m)…
Fused depth-maps 119 (33.06%, 1m58s, ETA 4m)…
Fused depth-maps 120 (33.33%, 1m59s, ETA 3m)…
Fused depth-maps 121 (33.61%, 2m, ETA 3m)…
Fused depth-maps 122 (33.89%, 2m1s, ETA 3m)…
Fused depth-maps 123 (34.17%, 2m2s, ETA 3m)…
Fused depth-maps 124 (34.44%, 2m3s, ETA 3m)…
Fused depth-maps 125 (34.72%, 2m4s, ETA 3m)…
Fused depth-maps 126 (35.00%, 2m5s, ETA 3m)…
Fused depth-maps 127 (35.28%, 2m6s, ETA 3m)…
Fused depth-maps 128 (35.56%, 2m7s, ETA 3m)…
Fused depth-maps 129 (35.83%, 2m8s, ETA 3m)…
Fused depth-maps 130 (36.11%, 2m9s, ETA 3m)…
Fused depth-maps 131 (36.39%, 2m10s, ETA 3m)…
Fused depth-maps 132 (36.67%, 2m11s, ETA 3m)…
Fused depth-maps 133 (36.94%, 2m12s, ETA 3m)…
Fused depth-maps 134 (37.22%, 2m13s, ETA 3m)…
Fused depth-maps 135 (37.50%, 2m14s, ETA 3m)…
Fused depth-maps 136 (37.78%, 2m15s, ETA 3m)…
Fused depth-maps 137 (38.06%, 2m16s, ETA 3m)…
Fused depth-maps 138 (38.33%, 2m17s, ETA 3m)…
Fused depth-maps 139 (38.61%, 2m18s, ETA 3m)…
Fused depth-maps 140 (38.89%, 2m19s, ETA 3m)…
Fused depth-maps 141 (39.17%, 2m20s, ETA 3m)…
Fused depth-maps 142 (39.44%, 2m21s, ETA 3m)…
Fused depth-maps 143 (39.72%, 2m22s, ETA 3m)…
Fused depth-maps 144 (40.00%, 2m23s, ETA 3m)…
Fused depth-maps 145 (40.28%, 2m24s, ETA 3m)…
Fused depth-maps 146 (40.56%, 2m25s, ETA 3m)…
Fused depth-maps 147 (40.83%, 2m26s, ETA 3m)…
Fused depth-maps 148 (41.11%, 2m27s, ETA 3m)…
Fused depth-maps 149 (41.39%, 2m28s, ETA 3m)…
Fused depth-maps 150 (41.67%, 2m28s, ETA 3m)…
Fused depth-maps 151 (41.94%, 2m29s, ETA 3m)…
Fused depth-maps 152 (42.22%, 2m30s, ETA 3m)…
Fused depth-maps 153 (42.50%, 2m31s, ETA 3m)…
Fused depth-maps 154 (42.78%, 2m32s, ETA 3m)…
Fused depth-maps 155 (43.06%, 2m33s, ETA 3m)…
Fused depth-maps 156 (43.33%, 2m34s, ETA 3m)…
Fused depth-maps 157 (43.61%, 2m35s, ETA 3m)…
Fused depth-maps 158 (43.89%, 2m36s, ETA 3m)…
Fused depth-maps 159 (44.17%, 2m36s, ETA 3m)…
Fused depth-maps 160 (44.44%, 2m37s, ETA 3m)…
Fused depth-maps 161 (44.72%, 2m38s, ETA 3m)…
Fused depth-maps 162 (45.00%, 2m39s, ETA 3m)…
Fused depth-maps 163 (45.28%, 2m40s, ETA 3m)…
Fused depth-maps 164 (45.56%, 2m41s, ETA 3m)…
Fused depth-maps 165 (45.83%, 2m42s, ETA 3m)…
Fused depth-maps 166 (46.11%, 2m43s, ETA 3m)…
Fused depth-maps 167 (46.39%, 2m44s, ETA 3m)…
Fused depth-maps 168 (46.67%, 2m45s, ETA 3m)…
Fused depth-maps 169 (46.94%, 2m46s, ETA 3m)…
Fused depth-maps 170 (47.22%, 2m46s, ETA 3m)…
Fused depth-maps 171 (47.50%, 2m47s, ETA 3m)…
Fused depth-maps 172 (47.78%, 2m48s, ETA 3m)…
Fused depth-maps 173 (48.06%, 2m49s, ETA 3m)…
Fused depth-maps 174 (48.33%, 2m50s, ETA 3m)…
Fused depth-maps 175 (48.61%, 2m51s, ETA 3m)…
Fused depth-maps 176 (48.89%, 2m52s, ETA 3m)…
Fused depth-maps 177 (49.17%, 2m53s, ETA 2m)…
Fused depth-maps 178 (49.44%, 2m53s, ETA 2m)…
Fused depth-maps 179 (49.72%, 2m54s, ETA 2m)…
Fused depth-maps 180 (50.00%, 2m55s, ETA 2m)…
Fused depth-maps 181 (50.28%, 2m56s, ETA 2m)…
Fused depth-maps 182 (50.56%, 2m57s, ETA 2m)…
Fused depth-maps 183 (50.83%, 2m58s, ETA 2m)…
Fused depth-maps 184 (51.11%, 2m59s, ETA 2m)…
Fused depth-maps 185 (51.39%, 3m, ETA 2m)…
Fused depth-maps 186 (51.67%, 3m, ETA 2m)…
Fused depth-maps 187 (51.94%, 3m1s, ETA 2m)…
Fused depth-maps 188 (52.22%, 3m2s, ETA 2m)…
Fused depth-maps 189 (52.50%, 3m3s, ETA 2m)…
Fused depth-maps 190 (52.78%, 3m4s, ETA 2m)…
Fused depth-maps 191 (53.06%, 3m5s, ETA 2m)…
Fused depth-maps 192 (53.33%, 3m6s, ETA 2m)…
Fused depth-maps 193 (53.61%, 3m7s, ETA 2m)…
Fused depth-maps 194 (53.89%, 3m8s, ETA 2m)…
Fused depth-maps 195 (54.17%, 3m9s, ETA 2m)…
Fused depth-maps 196 (54.44%, 3m10s, ETA 2m)…
Fused depth-maps 197 (54.72%, 3m11s, ETA 2m)…
Fused depth-maps 198 (55.00%, 3m12s, ETA 2m)…
Fused depth-maps 199 (55.28%, 3m13s, ETA 2m)…
Fused depth-maps 200 (55.56%, 3m14s, ETA 2m)…
Fused depth-maps 201 (55.83%, 3m15s, ETA 2m)…
Fused depth-maps 202 (56.11%, 3m16s, ETA 2m)…
Fused depth-maps 203 (56.39%, 3m17s, ETA 2m)…
Fused depth-maps 204 (56.67%, 3m18s, ETA 2m)…
Fused depth-maps 205 (56.94%, 3m19s, ETA 2m)…
Fused depth-maps 206 (57.22%, 3m20s, ETA 2m)…
Fused depth-maps 207 (57.50%, 3m21s, ETA 2m)…
Fused depth-maps 208 (57.78%, 3m22s, ETA 2m)…
Fused depth-maps 209 (58.06%, 3m23s, ETA 2m)…
Fused depth-maps 210 (58.33%, 3m23s, ETA 2m)…
Fused depth-maps 211 (58.61%, 3m24s, ETA 2m)…
Fused depth-maps 212 (58.89%, 3m25s, ETA 2m)…
Fused depth-maps 213 (59.17%, 3m26s, ETA 2m)…
Fused depth-maps 214 (59.44%, 3m27s, ETA 2m)…
Fused depth-maps 215 (59.72%, 3m28s, ETA 2m)…
Fused depth-maps 216 (60.00%, 3m29s, ETA 2m)…
Fused depth-maps 217 (60.28%, 3m29s, ETA 2m)…
Fused depth-maps 218 (60.56%, 3m30s, ETA 2m)…
Fused depth-maps 219 (60.83%, 3m31s, ETA 2m)…
Fused depth-maps 220 (61.11%, 3m32s, ETA 2m)…
Fused depth-maps 221 (61.39%, 3m33s, ETA 2m)…
Fused depth-maps 222 (61.67%, 3m34s, ETA 2m)…
Fused depth-maps 223 (61.94%, 3m35s, ETA 2m)…
Fused depth-maps 224 (62.22%, 3m37s, ETA 2m)…
Fused depth-maps 225 (62.50%, 3m38s, ETA 2m)…
Fused depth-maps 226 (62.78%, 3m39s, ETA 2m)…
Fused depth-maps 227 (63.06%, 3m40s, ETA 2m)…
Fused depth-maps 228 (63.33%, 3m40s, ETA 2m)…
Fused depth-maps 229 (63.61%, 3m42s, ETA 2m)…
Fused depth-maps 230 (63.89%, 3m43s, ETA 2m)…
Fused depth-maps 231 (64.17%, 3m43s, ETA 2m)…
Fused depth-maps 232 (64.44%, 3m44s, ETA 2m)…
Fused depth-maps 233 (64.72%, 3m45s, ETA 2m)…
Fused depth-maps 234 (65.00%, 3m46s, ETA 2m)…
Fused depth-maps 235 (65.28%, 3m47s, ETA 2m)…
Fused depth-maps 236 (65.56%, 3m48s, ETA 2m)…
Fused depth-maps 237 (65.83%, 3m49s, ETA 1m)…
Fused depth-maps 238 (66.11%, 3m50s, ETA 1m)…
Fused depth-maps 239 (66.39%, 3m51s, ETA 1m)…
Fused depth-maps 240 (66.67%, 3m52s, ETA 1m)…
Fused depth-maps 241 (66.94%, 3m52s, ETA 1m)…
Fused depth-maps 242 (67.22%, 3m53s, ETA 1m)…
Fused depth-maps 243 (67.50%, 3m54s, ETA 1m)…
Fused depth-maps 244 (67.78%, 3m55s, ETA 1m)…
Fused depth-maps 245 (68.06%, 3m56s, ETA 1m)…
Fused depth-maps 246 (68.33%, 3m57s, ETA 1m)…
Fused depth-maps 247 (68.61%, 3m58s, ETA 1m)…
Fused depth-maps 248 (68.89%, 3m59s, ETA 1m)…
Fused depth-maps 249 (69.17%, 4m, ETA 1m)…
Fused depth-maps 250 (69.44%, 4m, ETA 1m)…
Fused depth-maps 251 (69.72%, 4m1s, ETA 1m)…
Fused depth-maps 252 (70.00%, 4m3s, ETA 1m)…
Fused depth-maps 253 (70.28%, 4m3s, ETA 1m)…
Fused depth-maps 254 (70.56%, 4m4s, ETA 1m)…
Fused depth-maps 255 (70.83%, 4m5s, ETA 1m)…
Fused depth-maps 256 (71.11%, 4m6s, ETA 1m)…
Fused depth-maps 257 (71.39%, 4m7s, ETA 1m)…
Fused depth-maps 258 (71.67%, 4m8s, ETA 1m)…
Fused depth-maps 259 (71.94%, 4m9s, ETA 1m)…
Fused depth-maps 260 (72.22%, 4m10s, ETA 1m)…
Fused depth-maps 261 (72.50%, 4m11s, ETA 1m)…
Fused depth-maps 262 (72.78%, 4m11s, ETA 1m)…
Fused depth-maps 263 (73.06%, 4m13s, ETA 1m)…
Fused depth-maps 264 (73.33%, 4m13s, ETA 1m)…
Fused depth-maps 265 (73.61%, 4m15s, ETA 1m)…
Fused depth-maps 266 (73.89%, 4m15s, ETA 1m)…
Fused depth-maps 267 (74.17%, 4m16s, ETA 1m)…
Fused depth-maps 268 (74.44%, 4m17s, ETA 1m)…
Fused depth-maps 269 (74.72%, 4m18s, ETA 1m)…
Fused depth-maps 270 (75.00%, 4m19s, ETA 1m)…
Fused depth-maps 271 (75.28%, 4m20s, ETA 1m)…
Fused depth-maps 272 (75.56%, 4m21s, ETA 1m)…
Fused depth-maps 273 (75.83%, 4m22s, ETA 1m)…
Fused depth-maps 274 (76.11%, 4m23s, ETA 1m)…
Fused depth-maps 275 (76.39%, 4m23s, ETA 1m)…
Fused depth-maps 276 (76.67%, 4m24s, ETA 1m)…
Fused depth-maps 277 (76.94%, 4m25s, ETA 1m)…
Fused depth-maps 278 (77.22%, 4m26s, ETA 1m)…
Fused depth-maps 279 (77.50%, 4m27s, ETA 1m)…
Fused depth-maps 280 (77.78%, 4m28s, ETA 1m)…
Fused depth-maps 281 (78.06%, 4m29s, ETA 1m)…
Fused depth-maps 282 (78.33%, 4m29s, ETA 1m)…
Fused depth-maps 283 (78.61%, 4m30s, ETA 1m)…
Fused depth-maps 284 (78.89%, 4m31s, ETA 1m)…
Fused depth-maps 285 (79.17%, 4m32s, ETA 1m)…
Fused depth-maps 286 (79.44%, 4m33s, ETA 1m)…
Fused depth-maps 287 (79.72%, 4m34s, ETA 1m)…
Fused depth-maps 288 (80.00%, 4m35s, ETA 1m)…
Fused depth-maps 289 (80.28%, 4m36s, ETA 1m)…
Fused depth-maps 290 (80.56%, 4m37s, ETA 1m)…
Fused depth-maps 291 (80.83%, 4m38s, ETA 1m)…
Fused depth-maps 292 (81.11%, 4m39s, ETA 1m)…
Fused depth-maps 293 (81.39%, 4m40s, ETA 1m)…
Fused depth-maps 294 (81.67%, 4m40s, ETA 1m)…
Fused depth-maps 295 (81.94%, 4m41s, ETA 1m)…
Fused depth-maps 296 (82.22%, 4m42s, ETA 1m)…
Fused depth-maps 297 (82.50%, 4m43s, ETA 1m)…
Fused depth-maps 298 (82.78%, 4m44s, ETA 59s)…
Fused depth-maps 299 (83.06%, 4m44s, ETA 58s)…
Fused depth-maps 300 (83.33%, 4m45s, ETA 57s)…
Fused depth-maps 301 (83.61%, 4m46s, ETA 56s)…
Fused depth-maps 302 (83.89%, 4m47s, ETA 55s)…
Fused depth-maps 303 (84.17%, 4m48s, ETA 54s)…
Fused depth-maps 304 (84.44%, 4m49s, ETA 53s)…
Fused depth-maps 305 (84.72%, 4m50s, ETA 52s)…
Fused depth-maps 306 (85.00%, 4m51s, ETA 51s)…
Fused depth-maps 307 (85.28%, 4m51s, ETA 50s)…
Fused depth-maps 308 (85.56%, 4m53s, ETA 49s)…
Fused depth-maps 309 (85.83%, 4m53s, ETA 48s)…
Fused depth-maps 310 (86.11%, 4m54s, ETA 47s)…
Fused depth-maps 311 (86.39%, 4m55s, ETA 46s)…
Fused depth-maps 312 (86.67%, 4m56s, ETA 45s)…
Fused depth-maps 313 (86.94%, 4m57s, ETA 44s)…
Fused depth-maps 314 (87.22%, 4m58s, ETA 43s)…
Fused depth-maps 315 (87.50%, 4m58s, ETA 42s)…
Fused depth-maps 316 (87.78%, 4m59s, ETA 41s)…
Fused depth-maps 317 (88.06%, 5m, ETA 40s)…
Fused depth-maps 318 (88.33%, 5m1s, ETA 39s)…
Fused depth-maps 319 (88.61%, 5m1s, ETA 38s)…
Fused depth-maps 320 (88.89%, 5m2s, ETA 37s)…
Fused depth-maps 321 (89.17%, 5m3s, ETA 36s)…
Fused depth-maps 322 (89.44%, 5m4s, ETA 35s)…
Fused depth-maps 323 (89.72%, 5m5s, ETA 34s)…
Fused depth-maps 324 (90.00%, 5m5s, ETA 33s)…
Fused depth-maps 325 (90.28%, 5m6s, ETA 33s)…
Fused depth-maps 326 (90.56%, 5m7s, ETA 32s)…
Fused depth-maps 327 (90.83%, 5m8s, ETA 31s)…
Fused depth-maps 328 (91.11%, 5m8s, ETA 30s)…
Fused depth-maps 329 (91.39%, 5m9s, ETA 29s)…
Fused depth-maps 330 (91.67%, 5m10s, ETA 28s)…
Fused depth-maps 331 (91.94%, 5m11s, ETA 27s)…
Fused depth-maps 332 (92.22%, 5m12s, ETA 26s)…
Fused depth-maps 333 (92.50%, 5m13s, ETA 25s)…
Fused depth-maps 334 (92.78%, 5m14s, ETA 24s)…
Fused depth-maps 335 (93.06%, 5m14s, ETA 23s)…
Fused depth-maps 336 (93.33%, 5m15s, ETA 22s)…
Fused depth-maps 337 (93.61%, 5m16s, ETA 21s)…
Fused depth-maps 338 (93.89%, 5m17s, ETA 20s)…
Fused depth-maps 339 (94.17%, 5m17s, ETA 19s)…
Fused depth-maps 340 (94.44%, 5m18s, ETA 18s)…
Fused depth-maps 341 (94.72%, 5m19s, ETA 17s)…
Fused depth-maps 342 (95.00%, 5m20s, ETA 16s)…
Fused depth-maps 343 (95.28%, 5m20s, ETA 15s)…
Fused depth-maps 344 (95.56%, 5m21s, ETA 14s)…
Fused depth-maps 345 (95.83%, 5m21s, ETA 13s)…
Fused depth-maps 346 (96.11%, 5m22s, ETA 13s)…
Fused depth-maps 347 (96.39%, 5m23s, ETA 12s)…
Fused depth-maps 348 (96.67%, 5m23s, ETA 11s)…
Fused depth-maps 349 (96.94%, 5m23s, ETA 10s)…
Fused depth-maps 350 (97.22%, 5m24s, ETA 9s)…
Fused depth-maps 351 (97.50%, 5m24s, ETA 8s)…
Fused depth-maps 352 (97.78%, 5m24s, ETA 7s)…
Fused depth-maps 353 (98.06%, 5m25s, ETA 6s)…
Fused depth-maps 354 (98.33%, 5m25s, ETA 5s)…
Fused depth-maps 355 (98.61%, 5m26s, ETA 4s)…
Fused depth-maps 356 (98.89%, 5m26s, ETA 3s)…
Fused depth-maps 359 (99.72%, 5m26s, ETA 910ms)…
Fused depth-maps 360 (100%, 5m26s876ms)
09:56:10 [App ] Densifying point-cloud completed: 1675454 points (4h18m26s234ms)
09:56:13 [App ] MEMORYINFO: {
09:56:13 [App ] VmPeak: 69210184 kB
09:56:13 [App ] VmSize: 43748628 kB
09:56:13 [App ] } ENDINFO
[INFO] running /code/SuperBuild/install/bin/OpenMVS/DensifyPointCloud --filter-point-cloud -1 -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/opensfm/undistorted/openmvs/scene_dense.mvs” -v 0
09:56:15 [App ] Build date: Nov 22 2020, 05:56:42
09:56:15 [App ] CPU: Intel® Core™ i7-10700F CPU @ 2.90GHz (8 cores)
09:56:15 [App ] RAM: 52.06GB Physical Memory 13.88GB Virtual Memory
09:56:15 [App ] OS: Linux 4.19.130-boot2docker (x86_64)
09:56:15 [App ] SSE & AVX compatible CPU & OS detected
09:56:15 [App ] Command line: --filter-point-cloud -1 -i /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/opensfm/undistorted/openmvs/scene_dense.mvs -v 0
Point visibility checks 519964 (31.03%, 3s, ETA 6s)…
Point visibility checks 994820 (59.38%, 6s, ETA 4s)…
Point visibility checks 1496993 (89.35%, 9s, ETA 1s)…
Point visibility checks 1675454 (100%, 11s463ms)
09:56:31 [App ] MEMORYINFO: {
09:56:31 [App ] VmPeak: 577688 kB
09:56:31 [App ] VmSize: 564596 kB
09:56:31 [App ] } ENDINFO
[INFO] Finished openmvs stage
[INFO] Running odm_filterpoints stage
[INFO] Filtering /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/opensfm/undistorted/openmvs/scene_dense_dense_filtered.ply (statistical, meanK 16, standard deviation 2.5)
[INFO] Splitting point cloud filtering in chunks of 250000 vertices
[INFO] running pdal split -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/opensfm/undistorted/openmvs/scene_dense_dense_filtered.ply” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part.ply” --capacity 250000 --writers.ply.sized_types=false --writers.ply.storage_mode=‘little endian’ --writers.ply.dims=“x=float,y=float,z=float,nx=float,ny=float,nz=float,red=uchar,blue=uchar,green=uchar”
[INFO] Filtering /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_3.ply (statistical, meanK 16, standard deviation 2.5)
[INFO] Filtering /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_1.ply (statistical, meanK 16, standard deviation 2.5)
[INFO] Filtering /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_5.ply (statistical, meanK 16, standard deviation 2.5)
[INFO] Filtering /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_2.ply (statistical, meanK 16, standard deviation 2.5)
[INFO] Filtering /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_6.ply (statistical, meanK 16, standard deviation 2.5)
[INFO] running pdal translate -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_2.ply” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_2_filtered.ply” outlier range --writers.ply.sized_types=false --writers.ply.storage_mode=‘little endian’ --writers.ply.dims=“x=float,y=float,z=float,nx=float,ny=float,nz=float,red=uchar,blue=uchar,green=uchar” --filters.outlier.method=‘statistical’ --filters.outlier.mean_k=16 --filters.outlier.multiplier=2.5 --filters.range.limits=‘Classification![7:7]’
[INFO] Filtering /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_7.ply (statistical, meanK 16, standard deviation 2.5)
[INFO] Filtering /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_4.ply (statistical, meanK 16, standard deviation 2.5)
[INFO] running pdal translate -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_5.ply” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_5_filtered.ply” outlier range --writers.ply.sized_types=false --writers.ply.storage_mode=‘little endian’ --writers.ply.dims=“x=float,y=float,z=float,nx=float,ny=float,nz=float,red=uchar,blue=uchar,green=uchar” --filters.outlier.method=‘statistical’ --filters.outlier.mean_k=16 --filters.outlier.multiplier=2.5 --filters.range.limits=‘Classification![7:7]’
[INFO] running pdal translate -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_3.ply” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_3_filtered.ply” outlier range --writers.ply.sized_types=false --writers.ply.storage_mode=‘little endian’ --writers.ply.dims=“x=float,y=float,z=float,nx=float,ny=float,nz=float,red=uchar,blue=uchar,green=uchar” --filters.outlier.method=‘statistical’ --filters.outlier.mean_k=16 --filters.outlier.multiplier=2.5 --filters.range.limits=‘Classification![7:7]’
[INFO] running pdal translate -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_4.ply” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_4_filtered.ply” outlier range --writers.ply.sized_types=false --writers.ply.storage_mode=‘little endian’ --writers.ply.dims=“x=float,y=float,z=float,nx=float,ny=float,nz=float,red=uchar,blue=uchar,green=uchar” --filters.outlier.method=‘statistical’ --filters.outlier.mean_k=16 --filters.outlier.multiplier=2.5 --filters.range.limits=‘Classification![7:7]’
[INFO] running pdal translate -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_6.ply” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_6_filtered.ply” outlier range --writers.ply.sized_types=false --writers.ply.storage_mode=‘little endian’ --writers.ply.dims=“x=float,y=float,z=float,nx=float,ny=float,nz=float,red=uchar,blue=uchar,green=uchar” --filters.outlier.method=‘statistical’ --filters.outlier.mean_k=16 --filters.outlier.multiplier=2.5 --filters.range.limits=‘Classification![7:7]’
[INFO] running pdal translate -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_7.ply” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_7_filtered.ply” outlier range --writers.ply.sized_types=false --writers.ply.storage_mode=‘little endian’ --writers.ply.dims=“x=float,y=float,z=float,nx=float,ny=float,nz=float,red=uchar,blue=uchar,green=uchar” --filters.outlier.method=‘statistical’ --filters.outlier.mean_k=16 --filters.outlier.multiplier=2.5 --filters.range.limits=‘Classification![7:7]’
[INFO] running pdal translate -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_1.ply” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/parts/part_1_filtered.ply” outlier range --writers.ply.sized_types=false --writers.ply.storage_mode=‘little endian’ --writers.ply.dims=“x=float,y=float,z=float,nx=float,ny=float,nz=float,red=uchar,blue=uchar,green=uchar” --filters.outlier.method=‘statistical’ --filters.outlier.mean_k=16 --filters.outlier.multiplier=2.5 --filters.range.limits=‘Classification![7:7]’
[INFO] Merging 7 point cloud chunks to /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/point_cloud.ply
[INFO] Finished odm_filterpoints stage
[INFO] Running odm_meshing stage
[INFO] Writing ODM Mesh file in: /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_meshing/odm_mesh.ply
[INFO] running /code/SuperBuild/src/PoissonRecon/Bin/Linux/PoissonRecon --in /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/point_cloud.ply --out /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_meshing/odm_mesh.dirty.ply --depth 11 --pointWeight 4 --samplesPerNode 1.0 --threads 7 --linearFit
[INFO] running /code/build/bin/odm_cleanmesh -inputFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_meshing/odm_mesh.dirty.ply -outputFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_meshing/odm_mesh.ply -removeIslands -decimateMesh 300000
[INFO] Finished odm_meshing stage
[INFO] Running mvs_texturing stage
[INFO] Writing MVS Textured file in: /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_texturing/odm_textured_model.obj
[INFO] running /code/SuperBuild/install/bin/texrecon /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/opensfm/undistorted/reconstruction.nvm /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_meshing/odm_mesh.ply /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_texturing/odm_textured_model -d gmi -o gauss_clamping -t none --keep_unseen_faces
/code/SuperBuild/install/bin/texrecon (built on Nov 22 2020, 05:38:20)
Load and prepare mesh:
PLY Loader: comment VTK generated PLY File
Reading PLY: 1085612 verts…
2171653 faces…
done.
Warning: Zero-length normals detected: 1065393 face normals, 66605 vertex normals
Generating texture views:
NVM: Loading file…
NVM: Number of views: 360
NVM: Number of features: 891669
Loading 100%… done. (Took 106.412s)
Building adjacency graph:
Adding edges 100%… done. (Took 2.205s)
3257770 total edges.
View selection:
Building BVH from 2171653 faces…
done. (Took: 1572 ms)
Calculating face qualities 100%… done. (Took 52.264s)
Postprocessing face infos 100%… done. (Took 0.478s)
Maximum quality of a face within an image: 235185
Clamping qualities to 2493.21 within normalization.
Writing data cost file…
done.
Optimizing:
Time[s] Energy
1 2154760
34 2154029
35 2152494
36 2151880
37 2151775
38 2151701
39 2151671
40 2151652
41 2151644
42 2151639
1612634 faces have not been seen
Took: 100.455s
Generating texture patches:
Running…
done. (Took 49.086s)
149291 texture patches.
Running global seam leveling:
Create matrices for optimization…
done.
Lhs dimensionality: 757709 x 757709
Calculating adjustments:
Color channel 0: CG took 126 iterations. Residual is 9.9677e-05
Color channel 2: CG took 131 iterations. Residual is 9.64261e-05
Color channel 1: CG took 130 iterations. Residual is 9.85021e-05
Took 2.044 seconds
Adjusting texture patches 100%… done. (Took 9.378s)
Running local seam leveling:
Blending texture patches 100%… done. (Took 299.842s)
Generating texture atlases:
Sorting texture patches…
done.
Working on atlas 706 100%… done.
Finalizing texture atlases…
done. (Took: 0.018s)
Building objmodel:
Saving model…
done.
Whole texturing procedure took: 898.234s
[INFO] Finished mvs_texturing stage
[INFO] Running odm_georeferencing stage
[INFO] Running georeferencing with OpenSfM transformation matrix
[INFO] running /code/build/bin/odm_georef -bundleFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/opensfm/bundle_r000.out -inputTransformFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/opensfm/geocoords_transformation.txt -inputCoordFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_georeferencing/coords.txt -inputFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_texturing/odm_textured_model.obj -outputFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_texturing/odm_textured_model_geo.obj -inputPointCloudFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_filterpoints/point_cloud.ply -outputPointCloudFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_georeferencing/odm_georeferenced_model.laz -outputPointCloudSrs ‘+proj=utm +zone=37 +south +datum=WGS84 +units=m +no_defs +type=crs’ -logFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_georeferencing/odm_georeferencing_log.txt -outputTransformFile /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_georeferencing/odm_georeferencing_transform.txt -georefFileOutputPath /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_georeferencing/odm_georeferencing_model_geo.txt
[INFO] Creating geo-referenced LAS file
[INFO] running pdal translate -i “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_georeferencing/odm_georeferenced_model.laz” -o “/var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_georeferencing/odm_georeferenced_model.las”
PDAL: writers.las: Unable to convert scaled value (2371012100) to int32 for dimension ‘Y’ when writing LAS/LAZ file /var/www/data/9acd5d0e-c79f-4a38-8efa-7dbd7db3ac68/odm_georeferencing/odm_georeferenced_model.las.
Traceback (most recent call last):
File “/code/run.py”, line 69, in
app.execute()
File “/code/stages/odm_app.py”, line 86, in execute
self.first_stage.run()
File “/code/opendm/types.py”, line 361, in run
self.next_stage.run(outputs)
File “/code/opendm/types.py”, line 361, in run
self.next_stage.run(outputs)
File “/code/opendm/types.py”, line 361, in run
self.next_stage.run(outputs)
[Previous line repeated 5 more times]
File “/code/opendm/types.py”, line 342, in run
self.process(self.args, outputs)
File “/code/stages/odm_georeferencing.py”, line 117, in process
point_cloud.post_point_cloud_steps(args, tree)
File “/code/opendm/point_cloud.py”, line 325, in post_point_cloud_steps
system.run("pdal translate -i “{}” "
File “/code/opendm/system.py”, line 79, in run
raise Exception(“Child returned {}”.format(retcode))
Exception: Child returned 1
Here are the photos and the GCP file: https://drive.google.com/drive/folders/1mmfj-Crbuo0x5rNP_wxN97GSCGlqZ_A2?usp=sharing
Pix4d generated a good pointcloud and ortho from this data.
Thanks!
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