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