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Unverified Commit 65cf73ed authored by Jad Abou-Chakra's avatar Jad Abou-Chakra Committed by GitHub
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Update nerf_dataset_tips.md

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......@@ -133,7 +133,33 @@ With an >=iPhone 12 Pro, one can use [Record3D](https://record3d.app/) to collec
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### NeRFCapture
[NeRFCapture](https://github.com/jc211/NeRFCapture) is an iOS app that runs on any ARKit device. It allows you to stream images directly from your phone to InstantNGP thus enabling a more interactive experience. It can also collect an offline dataset for later use.
[NeRFCapture](https://github.com/jc211/NeRFCapture) is an iOS app that runs on any ARKit device. It allows you to stream images directly from your phone to InstantNGP thus enabling a more interactive experience. It can also collect an offline dataset for later use.
The following dependencies are needed to run the NeRFCapture script:
```
pip install cyclonedds
pip install opencv-python
pip install Pillow
```
To stream:
1. Open the NeRFCapture app
2. Run the script with the --stream flag enabled.
```
instant-ngp$ python scripts/nerfcapture2nerf.py --stream
```
3. Wait for the connection between the app and the script to occur. This will be indicated on the app.
4. Click the send button on the app. The frame captured will be sent to InstantNGP.
5. Toggle training
To save a dataset:
1. Open the NeRFCapture app
2. Run the script with the --save_path flag. The n_frames flag indicates how many frames to capture before saving the dataset.
```
instant-ngp$ python scripts/nerfcapture2nerf.py --save_path "dir1/dir2" --n_frames 20
```
3. Wait for the connection between the app and the script to occur. This will be indicated on the app.
4. Click the send button on the app. The frame captured will be saved to the dataset folder on the computer running the script.
## Tips for NeRF training data
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