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exp3

  • Using images from outside the lab, with just images taken from the camera
    ns-process-data images --data lab_outside_v2_images --output-dir lab_outside_v2_out
        
    ns-train nerfacto --experiment-name exp3 --data lab_outside_v2_out/ --pipeline.model.predict-normals True
        
    • export mesh
    ns-export poisson --load-config outputs/exp3/nerfacto/2023-09-22_192736/config.yml --output-dir exports/mesh/lab_outside_v2/ --target-num-faces 50000 --num-pixels-per-side 2048 --normal-method model_output --normal-output-name normals --num-points 1000000 --remove-outliers True --use-bounding-box True --bounding-box-min -3.5 -3.5 -1 --bounding-box-max 3.5 3.5 1
        
    • export point cloud
      ns-export pointcloud --load-config outputs/exp3/nerfacto/2023-09-22_192736/config.yml --output-dir exports/pcd/lab_outside_v2/ --num-points 1000000 --remove-outliers True --normal-method model_output --normal-output-name normals --use-bounding-box True --bounding-box-min -3.5 -3.5 -1 --bounding-box-max 3.5 3.5 1
              

exp 4

  • Same as * exp3, but with the larger model
    ns-train nerfacto-big --experiment-name exp4 --data lab_outside_v2_out/ --pipeline.model.predict-normals True
        
  • Doesn’t work - insufficient memory

exp 5

  • Getting images of lab (v3) taken a bit more dense and also using the dslr app
    data/experiments/exp5_process_train.sh
        
  • View results
    ns-viewer --load-config outputs/exp4/nerfacto/2023-09-22_233637/config.yml
        
  • Export mesh
    ns-export poisson --load-config outputs/exp4/nerfacto/2023-09-22_233637/config.yml --output-dir exports/mesh/exp5 --target-num-faces 50000 --num-pixels-per-side 2048 --normal-method model_output --normal-output-name normals --num-points 1000000 --remove-outliers True --use-bounding-box True --bounding-box-min -1 -1 -1 --bounding-box-max 1 1 1
        
  • point cloud
ns-export pointcloud --load-config outputs/exp4/nerfacto/2023-09-22_233637/config.yml --output-dir exports/pcd/exp5 --num-points 1000000 --remove-outliers True --normal-method model_output --normal-output-name normals --use-bounding-box True --bounding-box-min -1 -1 -1 --bounding-box-max 1 1 1