mirror of
https://github.com/nerfstudio-project/nerfstudio.git
synced 2026-11-12 02:45:34 +08:00
131 lines
3.6 KiB
JSON
131 lines
3.6 KiB
JSON
{
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// Use IntelliSense to learn about possible attributes.
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// Hover to view descriptions of existing attributes.
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Launch Chrome against localhost",
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"request": "launch",
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"type": "chrome",
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"url": "http://localhost:4000",
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"webRoot": "${workspaceFolder}/nerfactory/viewer/app"
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},
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{
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"name": "Python: Attach using Process ID",
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"type": "python",
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"request": "attach",
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"processId": "${command:pickProcess}",
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"justMyCode": true
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},
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{
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"name": "Python: Current File",
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"type": "python",
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"request": "launch",
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"program": "${file}",
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"console": "integratedTerminal",
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"justMyCode": true
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},
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{
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"name": "Python: run_train",
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"type": "python",
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"request": "launch",
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"program": "scripts/run_train.py",
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"console": "integratedTerminal",
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"args": [
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"instant_ngp",
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"--viewer.no-enable",
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"--logging.event-writer=wandb"
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]
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},
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{
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"name": "Python: run_train ngp",
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"type": "python",
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"request": "launch",
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"program": "scripts/run_train.py",
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"console": "integratedTerminal",
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"args": [
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"instant_ngp"
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]
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},
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{
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"name": "Python: run_train ngp nerfactory",
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"type": "python",
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"request": "launch",
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"program": "scripts/run_train.py",
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"console": "integratedTerminal",
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"args": [
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"instant_ngp",
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// "--experiment_name=nerfactory_experiment",
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"--logging.local-writer.max-log-size=0",
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"--viewer.no-enable"
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// viewer
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// "--viewer.enable",
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// "--viewer.zmq-url=tcp://127.0.0.1:6001",
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// "--viewer.websocket-port=8014",
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// "--pipeline.model.randomize-background",
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// "--pipeline.model.cone-angle=0.00390625",
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// "nerfactory-data"
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]
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},
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{
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"name": "Python: run_train ngp-friends",
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"type": "python",
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"request": "launch",
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"program": "scripts/run_train.py",
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"console": "integratedTerminal",
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"args": [
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"instant_ngp",
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"--viewer.enable",
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"--viewer.zmq-url=tcp://127.0.0.1:6001",
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"--viewer.websocket-port=8014",
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"--trainer.steps_per_save=1000000",
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"--trainer.steps_per_test=1000000",
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"--pipeline.model.density-field-params.base-scale=4",
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"--pipeline.model.density-field-params.num-cascades=1",
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"pipeline.datamanager.train-dataparser:friends-data-parser-config",
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"--pipeline.datamanager.train-dataparser.scene-scale=4"
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]
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},
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{
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"name": "Python: run_train mipnerf 360",
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"type": "python",
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"request": "launch",
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"program": "scripts/run_train.py",
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"console": "integratedTerminal",
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"args": [
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"mipnerf_360"
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]
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},
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{
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"name": "Python: run_train tensorf",
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"type": "python",
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"request": "launch",
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"program": "scripts/run_train.py",
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"console": "integratedTerminal",
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"args": [
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"tensorf"
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]
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},
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{
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"name": "Python: run_train nerfw",
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"type": "python",
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"request": "launch",
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"program": "scripts/run_train.py",
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"console": "integratedTerminal",
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"args": [
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"nerfw"
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]
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},
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{
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"name": "Python: run_train semantic_nerf",
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"type": "python",
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"request": "launch",
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"program": "scripts/run_train.py",
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"console": "integratedTerminal",
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"args": [
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"semantic_nerf"
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]
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}
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]
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} |