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

Fix error in depth. #113

Closed wanmeihuali closed 1 year ago

github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha 00eef5060a1983febd062a11243d01a1a0bd4f66

github-actions[bot] commented 1 year ago

Training job wanmeihuali-patch-2-00eef50-230801-095506-tat-truck-baseline created

github-actions[bot] commented 1 year ago

Running experiment on sagemaker with git sha 00eef5060a1983febd062a11243d01a1a0bd4f66

github-actions[bot] commented 1 year ago

Training job wanmeihuali-patch-2-00eef50-230801-095532-tat-train-baseline created

github-actions[bot] commented 1 year ago

Training job wanmeihuali-patch-2-00eef50-230801-095506-tat-truck-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/wanmeihuali-patch-2-00eef50-230801-095506-tat-truck-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/wanmeihuali-patch-2-00eef50-230801-095506-tat-truck-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job wanmeihuali-patch-2-00eef50-230801-095506-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 0.034838538616895676 0.052573930472135544 437636.0 24.81686019897461 0.8764845132827759 0.12351548671722412 0.05369361862540245 25.165626525878906 0.865643322467804

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
25.13037109375 0.8467690348625183 24.73888397216797 0.8653869032859802 24.81686019897461 0.8764845132827759 23.000009536743164 0.8137311339378357 23.799922943115234 0.835624635219574 25.165626525878906 0.865643322467804
github-actions[bot] commented 1 year ago

Training job wanmeihuali-patch-2-00eef50-230801-095532-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/wanmeihuali-patch-2-00eef50-230801-095532-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/wanmeihuali-patch-2-00eef50-230801-095532-tat-train-baseline/output/output.tar.gz

github-actions[bot] commented 1 year ago

Training job wanmeihuali-patch-2-00eef50-230801-095532-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 0.03701240196824074 0.050230756402015686 679678.0 25.211719512939453 0.8968958258628845 0.10310417413711548 0.0997936949133873 20.997901916503906 0.8016714453697205

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
20.355093002319336 0.7767766714096069 26.276866912841797 0.9078413248062134 25.211719512939453 0.8968958258628845 19.23796844482422 0.7351766228675842 19.71843719482422 0.7589852213859558 20.997901916503906 0.8016714453697205