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Update custom_dataset.md (#771)
* Update custom_dataset.md
Train with the given websocket-port:
```shell
ns-train nerfacto record3d-data --data {RECORD3D_CAPTURE_DIR/EXR_RGBD} --viewer.websocket-port 7007
```
Then I get `ns-train: error: unrecognized arguments: --viewer.websocket-port 7007`.
It is recommended to put `record3d-data` at the end of all arguments.
```shell
ns-train nerfacto --data {RECORD3D_CAPTURE_DIR/EXR_RGBD} --viewer.websocket-port 7007 record3d-data
```
* Update custom_dataset.md
Update
```
ns-train nerfacto nerfstudio-data --data {PROCESSED_DATA_DIR}
```
to
```
ns-train nerfacto --data {PROCESSED_DATA_DIR} nerfstudio-data
```
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@ -25,7 +25,7 @@ A full set of arguments can be found {doc}`here</reference/cli/ns_process_data>`
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Simply specify that you are using the `nerfstudio` dataparser and point the data directory to your processed data.
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```bash
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ns-train nerfacto nerfstudio-data --data {PROCESSED_DATA_DIR}
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ns-train nerfacto --data {PROCESSED_DATA_DIR} nerfstudio-data
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```
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### Installing COLMAP
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@ -127,10 +127,10 @@ At a high level, you can follow these 3 steps:
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2. Then, move the exported capture folder from your iPhone to your computer.
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3. Train with nerfstudio!
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```
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ns-train nerfacto record3d-data --data {RECORD3D_CAPTURE_DIR/EXR_RGBD}
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```
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```
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ns-train nerfacto --data {RECORD3D_CAPTURE_DIR/EXR_RGBD} record3d-data
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```
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We provide some example recordings for you to try out and to see the correct formatting.
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