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https://github.com/nerfstudio-project/nerfstudio.git
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43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
#!/usr/bin/env python
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"""
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view_dataset.py
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"""
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import logging
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import time
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from datetime import timedelta
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from pathlib import Path
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import dcargs
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import torch
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from nerfactory.configs import base as cfg
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from nerfactory.datamanagers.base import AnnotatedDataParserUnion
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from nerfactory.datamanagers.datasets import InputDataset
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from nerfactory.viewer.server import viewer_utils
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logging.basicConfig(format="[%(filename)s:%(lineno)d] %(message)s", level=logging.INFO)
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DEFAULT_TIMEOUT = timedelta(minutes=30)
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# speedup for when input size to model doesn't change (much)
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torch.backends.cudnn.benchmark = True # type: ignore
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def main(
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dataparser: AnnotatedDataParserUnion,
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viewer: cfg.ViewerConfig,
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log_base_dir: Path = Path("/tmp/nerfactory_viewer_logs"),
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) -> None:
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"""Main function."""
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viewer_state = viewer_utils.ViewerState(config.viewer)
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datamanager = config.pipeline.datamanager.setup()
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viewer_state.init_scene(dataset=datamanager.train_input_dataset, start_train=False)
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logging.info("Please refresh and load page at: %s", viewer_state.viewer_url)
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time.sleep(30) # allowing time to refresh page
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if __name__ == "__main__":
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dcargs.extras.set_accent_color("bright_yellow")
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dcargs.cli(main)
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