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NeoGeographyToolkit / StereoPipeline

The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.
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image_ Mosaic encountered the following issues #402

Closed cc863 closed 10 months ago

cc863 commented 1 year ago

virtual-machine:~$ image_mosaic D3C1216-200548F040_a.tif D3C1216-200548F040_b.tif D3C1216-200548F040_c.tif D3C1216-200548F040_d.tif D3C1216-200548F040_e.tif D3C1216-200548F040_f.tif D3C1216-200548F040_g.tif D3C1216-200548F040_h.tif D3C1216-200548F040_i.tif D3C1216-200548F040_j.tif D3C1216-200548F040_k.tif D3C1216-200548F040_l.tif --ot byte --overlap-width 3000 -o D3C1216-200548F040.tif --> Setting number of processing threads to: 4 Using blend radius: 3000 Matching interest points between: D3C1216-200548F040_a.tif andD3C1216-200548F040_b.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 --> Uniqueness threshold: 0.8 Matching: [.] 99% Matched points: 3304 relative_transform: Matrix3x3((1,-0.000191746,28878.3)(0.000191746,1,85.7983)(0,0,1)) absolute_transform: Matrix3x3((1,-0.000191746,28878.3)(0.000191746,1,85.7983)(0,0,1)) Matching interest points between: D3C1216-200548F040_b.tif and D3C1216-200548F040_c.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 --> Uniqueness threshold: 0.8 Matching: [.] 99% Matched points: 2713 relative_transform: Matrix3x3((1,8.61062e-05,29111.1)(-8.61062e-05,1,59.3715)(0,0,1)) absolute_transform: Matrix3x3((1,-0.00010564,57989.5)(0.00010564,1,150.752)(0,0,1)) Matching interest points between:D3C1216-200548F040_c.tif and D3C1216-200548F040_d.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 --> Uniqueness threshold: 0.8 Matching: [.] 99% Matched points: 2258 relative_transform: Matrix3x3((1,0.000402694,29645)(-0.000402694,1,90.0609)(0,0,1)) absolute_transform: Matrix3x3((1,0.000297055,87634.4)(-0.000297055,1,243.944)(0,0,1)) Matching interest points between: D3C1216-200548F040_d.tif and D3C1216-200548F040_e.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 --> Uniqueness threshold: 0.8 Matching: [.] 99% Matched points: 2558 relative_transform: Matrix3x3((1,-9.38273e-05,29116.8)(9.38273e-05,1,51.4095)(0,0,1)) absolute_transform: Matrix3x3((1,0.000203227,116751)(-0.000203227,1,286.705)(0,0,1)) Matching interest points between: D3C1216-200548F040_e.tif and D3C1216-200548F040_f.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 --> Uniqueness threshold: 0.8 Matching: [.] 99% Matched points: 2706 relative_transform: Matrix3x3((1,-0.000146888,29075.3)(0.000146888,1,90.9067)(0,0,1)) absolute_transform: Matrix3x3((1,5.63391e-05,145827)(-5.63391e-05,1,371.702)(0,0,1)) Matching interest points between: D3C1216-200548F040_f.tif and D3C1216-200548F040_g.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 --> Uniqueness threshold: 0.8 Matching: [.] 99% Matched points: 3230 relative_transform: Matrix3x3((1,6.19424e-05,29022.9)(-6.19424e-05,1,29.9399)(0,0,1)) absolute_transform: Matrix3x3((1,0.000118282,174850)(-0.000118282,1,400.007)(0,0,1)) Matching interest points between: D3C1216-200548F040_g.tif and D3C1216-200548F040_h.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4997 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4979 --> Uniqueness threshold: 0.8 Matching: [.] 99% Matched points: 2395 relative_transform: Matrix3x3((1,8.60085e-05,29427.2)(-8.60085e-05,1,76.8338)(0,0,1)) absolute_transform: Matrix3x3((1,0.00020429,204277)(-0.00020429,1,473.36)(0,0,1)) Matching interest points between: D3C1216-200548F040_h.tif and D3C1216-200548F040_i.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4958 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4937 --> Uniqueness threshold: 0.8 Matching: [.] 100% Matched points: 2754 relative_transform: Matrix3x3((1,-0.000198958,28963.3)(0.000198958,1,51.0932)(0,0,1)) absolute_transform: Matrix3x3((1,5.33182e-06,233240)(-5.33182e-06,1,518.537)(0,0,1)) Matching interest points between: D3C1216-200548F040_i.tif and D3C1216-200548F040_j.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4979 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4970 --> Uniqueness threshold: 0.8 Matching: [.] 99% Matched points: 2106 relative_transform: Matrix3x3((1,-0.000267988,28783)(0.000267988,1,88.9589)(0,0,1)) absolute_transform: Matrix3x3((1,-0.000262656,262023)(0.000262656,1,607.342)(0,0,1)) Matching interest points between: D3C1216-200548F040_j.tif and D3C1216-200548F040_k.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4957 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4979 --> Uniqueness threshold: 0.8 Matching: [.] 100% Matched points: 2682 relative_transform: Matrix3x3((1,6.42377e-05,28958.8)(-6.42377e-05,1,30.1705)(0,0,1)) absolute_transform: Matrix3x3((1,-0.000198419,290982)(0.000198419,1,645.119)(0,0,1)) Matching interest points between: D3C1216-200548F040_k.tif and D3C1216-200548F040_l.tif Looking for IP in left image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4965 Looking for IP in right image... Using 71 interest points per tile (1024^2 px). Detecting IP Building descriptors Found interest points: 4954 --> Uniqueness threshold: 0.8 Matching: [***.] 100% Matched points: 2275 relative_transform: Matrix3x3((1,0.000176411,29399.3)(-0.000176411,1,77.9228)(0,0,1)) absolute_transform: Matrix3x3((1,-2.20076e-05,320381)(2.20076e-05,1,728.875)(0,0,1)) Writing: D3C1216-200548F040.tif Using temporary block size: 6000 Mosaic:[......................................................] 0%Killed

oleg-alexandrov commented 1 year ago

Maybe it was using a lot of memory and your system killed it? You can try running "top" in another terminal to keep watch on it. You can also try to maybe not mosaic them at the same time, but in several steps (mosaic 2nd to first, then 3rd to union of first two). Or you can try working at a lower resolution first (using gdal_translate -r average).