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bkerbl 2023-07-14 21:34:59 +02:00
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@ -130,6 +130,20 @@ python train.py -s <path to COLMAP or NeRF Synthetic dataset>
Flag to make pipeline compute forward and backward of the 3D covariance with PyTorch instead of ours. Flag to make pipeline compute forward and backward of the 3D covariance with PyTorch instead of ours.
#### --iterations #### --iterations
Number of total iterations to train for, ```30_000``` by default. Number of total iterations to train for, ```30_000``` by default.
#### --ip
IP to start GUI server on, ```127.0.0.1``` by default.
#### --port
Port to use for GUI server, ```6009``` by default.
#### --test_iterations
Space-separated iterations at which the training script computes L1 and PSNR over test set, ```7000 30000``` by default.
#### --save_iterations
Space-separated iterations at which the training script saves the Gaussian model, ```7000 30000 <iterations>``` by default.
#### --checkpoint_iterations
Space-separated iterations at which to store a checkpoint for continuing later, saved in the model directory.
#### --start_checkpoint
Path to a saved checkpoint to continue training from.
#### --quiet
Flag to omit any text written to standard out pipe.
#### --feature_lr #### --feature_lr
Spherical harmonics features learning rate, ```0.0025``` by default. Spherical harmonics features learning rate, ```0.0025``` by default.
#### --opacity_lr #### --opacity_lr
@ -160,16 +174,6 @@ python train.py -s <path to COLMAP or NeRF Synthetic dataset>
Influence of SSIM on total loss from 0 to 1, ```0.2``` by default. Influence of SSIM on total loss from 0 to 1, ```0.2``` by default.
#### --percent_dense #### --percent_dense
Percentage of scene extent (0--1) a point must exceed to be forcibly densified, ```0.1``` by default. Percentage of scene extent (0--1) a point must exceed to be forcibly densified, ```0.1``` by default.
#### --ip
IP to start GUI server on, ```127.0.0.1``` by default.
#### --port
Port to use for GUI server, ```6009``` by default.
#### --test_iterations
Space-separated iterations at which the training script computes L1 and PSNR over test set, ```7000 30000``` by default.
#### --save_iterations
Space-separated iterations at which the training script saves the Gaussian model, ```7000 30000 <iterations>``` by default.
#### --quiet
Flag to omit any text written to standard out pipe.
</details> </details>
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