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Task05 Кирилл Доровских СПбГУ#156

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kerelGusb wants to merge 2 commits into
PhotogrammetryCourse:task05from
kerelGusb:task05
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Task05 Кирилл Доровских СПбГУ#156
kerelGusb wants to merge 2 commits into
PhotogrammetryCourse:task05from
kerelGusb:task05

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@kerelGusb
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Перечислите идеи и коротко обозначьте мысли которые у вас возникали по мере выполнения задания (так же комментарии и мысли прямо в коде пишите по мере выполнения задания)

Я попробовал запустить тест для всех камер, но там прям каша получилась, все кроме камня покрылось шумами. Зато камень красивый вышел...

image

Приложите скриншоты облаков точек которые вам больше всего понравились, показывают какой-то интересный/неожиданный результат какого-то эксперимента/что-то еще.

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[nix-shell:~/Studies/photogrammetry]$ ./build/test_depth_maps_pm
Running main() from /home/kerelGusb/Studies/photogrammetry/libs/3rdparty/libgtest/googletest/src/gtest_main.cc
[==========] Running 2 tests from 1 test suite.
[----------] Global test environment set-up.
[----------] 2 tests from test_depth_maps_pm
[ RUN      ] test_depth_maps_pm.SingleDepthMap
loading 25 images...
resolution: 384x256
herzjesu25 dataset loaded in 2.66229 s
tie points cloud with cameras exported to: data/debug/test_depth_maps_pm/SingleDepthMap/tie_points_and_cameras25.ply
Iteration #0/5: refinement...
refinement done in 3.79398 s: 94% pixels with 0.248363 avg cost, 32% pixels with good 0.132008 avg cost
Iteration #1/5: propagation...
propagation done in 19.2723 s: 94% pixels with 0.117236 avg cost, 78% pixels with good 0.0885756 avg cost
Iteration #1/5: refinement...
refinement done in 12.0976 s: 94% pixels with 0.110402 avg cost, 80% pixels with good 0.0844309 avg cost
Iteration #2/5: propagation...
propagation done in 20.9792 s: 94% pixels with 0.0797329 avg cost, 85% pixels with good 0.0626009 avg cost
Iteration #2/5: refinement...
refinement done in 12.0209 s: 94% pixels with 0.0784939 avg cost, 85% pixels with good 0.0617984 avg cost
Iteration #3/5: propagation...
propagation done in 21.0154 s: 94% pixels with 0.0732312 avg cost, 86% pixels with good 0.0581075 avg cost
Iteration #3/5: refinement...
refinement done in 12.1607 s: 94% pixels with 0.0726325 avg cost, 86% pixels with good 0.0577935 avg cost
Iteration #4/5: propagation...
propagation done in 20.9376 s: 94% pixels with 0.0705016 avg cost, 87% pixels with good 0.0567738 avg cost
Iteration #4/5: refinement...
refinement done in 12.096 s: 94% pixels with 0.0700432 avg cost, 87% pixels with good 0.0566386 avg cost
Iteration #5/5: propagation...
propagation done in 21.2064 s: 94% pixels with 0.0686906 avg cost, 87% pixels with good 0.0563328 avg cost
Iteration #5/5: refinement...
refinement done in 12.0364 s: 94% pixels with 0.0686397 avg cost, 87% pixels with good 0.0563197 avg cost
[       OK ] test_depth_maps_pm.SingleDepthMap (170552 ms)
[ RUN      ] test_depth_maps_pm.AllDepthMaps
[       OK ] test_depth_maps_pm.AllDepthMaps (0 ms)
[----------] 2 tests from test_depth_maps_pm (170552 ms total)

[----------] Global test environment tear-down
[==========] 2 tests from 1 test suite ran. (170552 ms total)
[  PASSED  ] 2 tests.

@PolarNick239
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9/10 баллов 👍

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