wanmeihuali / taichi_3d_gaussian_splatting

An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
Apache License 2.0
648 stars 61 forks source link

simply the dispatch of tiles. #100

Closed wanmeihuali closed 1 year ago

wanmeihuali commented 1 year ago

Shall accelerate inference.

github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha 22fb072623019f45ef28e858aa6b5e5972ede9c3

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-074132-tat-truck-baseline created

github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha 22fb072623019f45ef28e858aa6b5e5972ede9c3

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-074204-tat-train-baseline created

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-074132-tat-truck-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/simple-tile-dispatch-22fb072-230714-074132-tat-truck-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/simple-tile-dispatch-22fb072-230714-074132-tat-truck-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-074132-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 0.023274606093764305 0.038915518671274185 425388.0 27.470054626464844 0.898520827293396 0.101479172706604 0.054213713854551315 25.087230682373047 0.8644097447395325

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
22.519237518310547 0.7950736880302429 20.886974334716797 0.7680493593215942 27.470054626464844 0.898520827293396 22.990468978881836 0.8116374611854553 23.710861206054688 0.8345136046409607 25.087230682373047 0.8644097447395325
github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-074204-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/simple-tile-dispatch-22fb072-230714-074204-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/simple-tile-dispatch-22fb072-230714-074204-tat-train-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-074204-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 0.03671049699187279 0.05044243112206459 654944.0 25.523813247680664 0.8946298360824585 0.1053701639175415 0.09996754676103592 20.947751998901367 0.7993527054786682

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
19.992469787597656 0.7404195666313171 19.739294052124023 0.6699277758598328 25.523813247680664 0.8946298360824585 19.16673469543457 0.7298212051391602 19.784420013427734 0.7567765116691589 20.947751998901367 0.7993527054786682
github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha 22fb072623019f45ef28e858aa6b5e5972ede9c3

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-162804-tat-truck-baseline created

github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha 22fb072623019f45ef28e858aa6b5e5972ede9c3

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-162806-tat-train-baseline created

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-162804-tat-truck-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/simple-tile-dispatch-22fb072-230714-162804-tat-truck-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/simple-tile-dispatch-22fb072-230714-162804-tat-truck-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-162804-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 0.02397059090435505 0.03979460150003433 430409.0 27.120344161987305 0.8969093561172485 0.10309064388275146 0.05309407040476799 25.231224060058594 0.866638720035553

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
24.645370483398438 0.8426849246025085 23.914213180541992 0.8482085466384888 27.120344161987305 0.8969093561172485 23.041074752807617 0.812735915184021 23.80791473388672 0.8364303708076477 25.231224060058594 0.866638720035553
github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-162806-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/simple-tile-dispatch-22fb072-230714-162806-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/simple-tile-dispatch-22fb072-230714-162806-tat-train-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job simple-tile-dispatch-22fb072-230714-162806-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 0.03185078129172325 0.04170026630163193 658606.0 26.506196975708008 0.918901801109314 0.08109819889068604 0.09886625409126282 21.008636474609375 0.8018460273742676

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
24.328617095947266 0.8582587242126465 24.86083221435547 0.873299241065979 26.506196975708008 0.918901801109314 19.258390426635742 0.7330579161643982 19.841218948364258 0.7594990730285645 21.008636474609375 0.8018460273742676