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launch.json
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launch.json
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{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "Launch Chrome against localhost",
"request": "launch",
"type": "chrome",
"url": "http://localhost:4000",
"webRoot": "${workspaceFolder}/nerfstudio/viewer/app"
},
{
"name": "Python: Attach using Process ID",
"type": "python",
"request": "attach",
"processId": "${command:pickProcess}",
"justMyCode": true
},
{
"name": "Python: Current File",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal",
"justMyCode": true
},
{
"name": "Python: NeuRAD",
"type": "python",
"request": "launch",
"program": "nerfstudio/scripts/train.py",
"console": "integratedTerminal",
"justMyCode": true,
"args": [
"neurad",
"--pipeline.model.eval_num_rays_per_chunk=2048",
"--pipeline.datamanager.num_processes=0",
"--pipeline.datamanager.train-num-lidar-rays-per-batch=1280",
"--pipeline.datamanager.eval-num-lidar-rays-per-batch=128",
"--pipeline.datamanager.train_num_rays_per_batch=4096",
"--pipeline.datamanager.eval_num_rays_per_batch=4096",
"pandaset-data",
"--data=./data/pandaset",
"--dataset_end_fraction=0.2",
"--cameras=front"
]
},
{
"name": "Python: NeuRAD tiny",
"type": "python",
"request": "launch",
"program": "nerfstudio/scripts/train.py",
"console": "integratedTerminal",
"justMyCode": true,
"args": [
"neurad",
"--pipeline.model.eval_num_rays_per_chunk=2048",
"--pipeline.model.field.grid.static.hashgrid_dim=2",
"--pipeline.model.field.grid.static.num_levels=4",
"--pipeline.model.field.grid.static.log2_hashmap_size=15",
"--pipeline.model.field.grid.actor.hashgrid_dim=2",
"--pipeline.model.field.grid.actor.num_levels=2",
"--pipeline.model.field.grid.actor.log2_hashmap_size=11",
"--pipeline.datamanager.num_processes=0",
"--pipeline.datamanager.train-num-lidar-rays-per-batch=1280",
"--pipeline.datamanager.eval-num-lidar-rays-per-batch=128",
"--pipeline.datamanager.train-num-rays-per_batch=2048",
"--pipeline.datamanager.eval-num-rays_per_batch=2048",
"pandaset-data",
"--data=./data/pandaset",
"--dataset_end_fraction=0.2",
"--cameras=front",
]
},
{
"name": "Python: NeuRAD CPU",
"type": "python",
"request": "launch",
"program": "nerfstudio/scripts/train.py",
"console": "integratedTerminal",
"justMyCode": false,
"env": {"PYTORCH_ENABLE_MPS_FALLBACK": "1"},
"args": [
"neurad",
"--pipeline.model.eval_num_rays_per_chunk=2048",
"--pipeline.model.implementation=torch",
"--pipeline.model.sampling.proposal_field_1.grid.actor.use_4d_hashgrid=False",
"--pipeline.model.sampling.proposal_field_2.grid.actor.use_4d_hashgrid=False",
"--pipeline.model.field.grid.actor.use_4d_hashgrid=False",
"--machine.device-type=mps",
"--mixed_precision=False",
"--pipeline.datamanager.num_processes=0",
"--pipeline.datamanager.train-num-lidar-rays-per-batch=128",
"--pipeline.datamanager.eval-num-lidar-rays-per-batch=128",
"--pipeline.datamanager.train_num_rays_per_batch=2048",
"--pipeline.datamanager.eval_num_rays_per_batch=2048",
"--vis=tensorboard",
"pandaset-data",
"--data=./data/pandaset",
"--dataset_end_fraction=0.2",
"--cameras=front"
]
},
{
"name": "Python: Splatfacto PandaSet",
"type": "python",
"request": "launch",
"program": "nerfstudio/scripts/train.py",
"console": "integratedTerminal",
"justMyCode": true,
"args": [
"splatfacto",
"pandaset-data",
"--sequence=028",
"--data=./data/pandaset",
"--dataset_end_fraction=1.0",
]
},
]
}