test_sagemaker.yaml

adaptive-controller-config:
  densification-view-space-position-gradients-threshold: 6e-6
  densification_view_avg_space_position_gradients_threshold: 1e3
  densification_multi_frame_view_space_position_gradients_threshold: 1e3
  densification_multi_frame_view_pixel_avg_space_position_gradients_threshold: 4e3
  densification_multi_frame_position_gradients_threshold: 1e3
  gaussian-split-factor-phi: 1.6
  num-iterations-densify: 100
  num-iterations-reset-alpha: 4000
  num-iterations-warm-up: 500
  reset-alpha-value: -1.9
  transparent-alpha-threshold: -2.0
  floater_num_pixels_threshold: 400000
  floater_near_camrea_num_pixels_threshold: 300000
  iteration_start_remove_floater: 2000
  under_reconstructed_num_pixels_threshold: 32
  enable_sample_from_point: True
gaussian-point-cloud-scene-config:
  max-num-points-ratio: 10.0
  num-of-features: 56
  add_sphere: True
  initial_alpha: 0.05
  max_initial_covariance: 3000.0
  initial_covariance_ratio: 0.1
increase-color-max-sh-band-interval: 1000.0
log-image-interval: 2000
log-loss-interval: 10
log-metrics-interval: 100
print-metrics-to-console: True
enable_taichi_kernel_profiler: True
log_taichi_kernel_profile_interval: 3000
log_validation_image: True
feature_learning_rate: 0.005
position_learning_rate: 0.00005
position_learning_rate_decay_rate: 0.9947
position_learning_rate_decay_interval: 100
loss-function-config:
  lambda-value: 0.2
  enable_regularization: False
  regularization_weight: 0.005
num-iterations: 30001
pointcloud-parquet-path: '/opt/ml/input/data/training/point_cloud.parquet'
rasterisation-config:
  depth-to-sort-key-scale: 10.0
  far-plane: 2000.0
  near-plane: 0.4
  grad_color_factor: 1.0
  grad_s_factor: 1.0
  grad_q_factor: 1.0
  grad_alpha_factor: 1.0
summary-writer-log-dir: /opt/ml/output/data/tensorboard
output-model-dir: /opt/ml/model
train-dataset-json-path: '/opt/ml/input/data/training/train.json'
val-dataset-json-path: '/opt/ml/input/data/training/val.json'
val-interval: 3000