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use depth in ray instead of depth to camera ray for sorting key, beca… #137

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wanmeihuali
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…use the occlusion shall be more correct with depth in ray.

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github-actions bot commented Oct 6, 2023

Training job use-depth-in-ray-1aa9379-231006-015342-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/use-depth-in-ray-1aa9379-231006-015342-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/use-depth-in-ray-1aa9379-231006-015342-tat-train-baseline/output/output.tar.gz

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Training job use-depth-in-ray-1aa9379-231006-015342-tat-train-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.04397716000676155 0.061862602829933167 679373.0 23.88727378845215 0.8665956258773804 0.13340437412261963 0.09860115498304367 20.963369369506836 0.8028493523597717

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
19.394107818603516 0.7175304889678955 20.012434005737305 0.6925652027130127 23.88727378845215 0.8665956258773804 19.15745735168457 0.7324286103248596 19.83893394470215 0.7598733305931091 20.963369369506836 0.8028493523597717

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github-actions bot commented Oct 6, 2023

Running experiment on sagemaker with git sha 1aa9379

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github-actions bot commented Oct 6, 2023

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github-actions bot commented Oct 6, 2023

Running experiment on sagemaker with git sha 1aa9379

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github-actions bot commented Oct 6, 2023

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github-actions bot commented Oct 6, 2023

Training job use-depth-in-ray-1aa9379-231006-062002-tat-truck-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/use-depth-in-ray-1aa9379-231006-062002-tat-truck-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/use-depth-in-ray-1aa9379-231006-062002-tat-truck-baseline/output/output.tar.gz

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github-actions bot commented Oct 6, 2023

Training job use-depth-in-ray-1aa9379-231006-062002-tat-truck-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.036109477281570435 0.05328259617090225 439431.0 25.218990325927734 0.8780249357223511 0.12197506427764893 0.05479404330253601 25.006031036376953 0.8652077317237854

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
22.467849731445312 0.8326117396354675 24.738550186157227 0.8537129163742065 25.218990325927734 0.8780249357223511 22.916616439819336 0.812911331653595 23.691999435424805 0.8367347121238708 25.006031036376953 0.8652077317237854

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github-actions bot commented Oct 6, 2023

Training job use-depth-in-ray-1aa9379-231006-061952-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/use-depth-in-ray-1aa9379-231006-061952-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/use-depth-in-ray-1aa9379-231006-061952-tat-train-baseline/output/output.tar.gz

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github-actions bot commented Oct 6, 2023

Training job use-depth-in-ray-1aa9379-231006-061952-tat-train-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.043533261865377426 0.0540580227971077 683507.0 23.979360580444336 0.9038429260253906 0.09615707397460938 0.10054276883602142 20.893360137939453 0.8000771403312683

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
17.400175094604492 0.6893067359924316 22.41900634765625 0.8071045279502869 23.979360580444336 0.9038429260253906 19.150447845458984 0.7317020893096924 19.664691925048828 0.75634765625 20.893360137939453 0.8000771403312683

The previous version of pose estimation crashes, find the correct
version in
1e82652.
use the correct version to replace the version in experiment dir.
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Running experiment on sagemaker with git sha 8c7d1c1

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@github-actions
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Running experiment on sagemaker with git sha 8c7d1c1

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@github-actions
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Training job use-depth-in-ray-8c7d1c1-231017-040312-tat-truck-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/use-depth-in-ray-8c7d1c1-231017-040312-tat-truck-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/use-depth-in-ray-8c7d1c1-231017-040312-tat-truck-baseline/output/output.tar.gz

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Training job use-depth-in-ray-8c7d1c1-231017-040312-tat-truck-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.027586055919528008 0.04325316101312637 447685.0 25.437156677246094 0.8940784335136414 0.10592156648635864 0.05411989241838455 25.073688507080078 0.8663197755813599

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
22.94533920288086 0.8416497111320496 25.79204559326172 0.8655107021331787 25.437156677246094 0.8940784335136414 23.094064712524414 0.8150384426116943 23.815950393676758 0.8376243710517883 25.073688507080078 0.8663197755813599

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Training job use-depth-in-ray-8c7d1c1-231017-040207-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/use-depth-in-ray-8c7d1c1-231017-040207-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/use-depth-in-ray-8c7d1c1-231017-040207-tat-train-baseline/output/output.tar.gz

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Training job use-depth-in-ray-8c7d1c1-231017-040207-tat-train-baseline final metrics:

Latest Metrics

train:iteration train:l1loss train:loss train:num_valid_points train:psnr train:ssim train:ssimloss val:loss val:psnr val:ssim
30000.0 0.04774487391114235 0.05797021836042404 692406.0 23.455257415771484 0.9011284112930298 0.09887158870697021 0.09719205647706985 21.1036319732666 0.8059386014938354

Max Metrics

train:5kpsnr train:5kssim train:7kpsnr train:7kssim train:psnr train:ssim val:5kpsnr val:5kssim val:7kpsnr val:7kssim val:psnr val:ssim
25.158458709716797 0.8425201177597046 24.842872619628906 0.923937201499939 23.455257415771484 0.9011284112930298 19.301868438720703 0.735354483127594 19.949430465698242 0.7604627013206482 21.1036319732666 0.8059386014938354

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