bennyguo / instant-nsr-pl

Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
MIT License
856 stars 84 forks source link

ValueError: Please parse the intrinsics for camera model SIMPLE_PINHOLE! #134

Open wangzhiisvery666 opened 4 months ago

wangzhiisvery666 commented 4 months ago

(nsr-pl) PS D:\Projects\PycharmProjects\instant-nsr-pl> python launch.py --config configs/nerf-colmap.yaml --gpu 0 --train dataset.scene=cup tag=example
Global seed set to 42 Using 16bit native Automatic Mixed Precision (AMP) GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs Trainer(limit_train_batches=1.0) was configured so 100% of the batches per epoch will be used.. Traceback (most recent call last): File "D:\Projects\PycharmProjects\instant-nsr-pl\launch.py", line 123, in main() File "D:\Projects\PycharmProjects\instant-nsr-pl\launch.py", line 112, in main trainer.fit(system, datamodule=dm) File "D:\Anaconda\envs\nsr-pl\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 696, in fit self._call_and_handle_interrupt( File "D:\Anaconda\envs\nsr-pl\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 650, in _call_and_handle_interrupt return trainer_fn(*args, *kwargs) File "D:\Anaconda\envs\nsr-pl\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 735, in _fit_impl results = self._run(model, ckpt_path=self.ckpt_path) File "D:\Anaconda\envs\nsr-pl\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 1105, in _run self._call_setup_hook() # allow user to setup lightning_module in accelerator environment File "D:\Anaconda\envs\nsr-pl\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 1447, in _call_setup_hook self._call_lightning_datamodule_hook("setup", stage=fn) File "D:\Anaconda\envs\nsr-pl\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 1569, in _call_lightning_datamodule_hook return fn(args, **kwargs) File "D:\Projects\PycharmProjects\instant-nsr-pl\datasets\colmap.py", line 235, in setup self.train_dataset = ColmapIterableDataset(self.config, 'train') File "D:\Projects\PycharmProjects\instant-nsr-pl\datasets\colmap.py", line 220, in init self.setup(config, split) File "D:\Projects\PycharmProjects\instant-nsr-pl\datasets\colmap.py", line 123, in setup raise ValueError(f"Please parse the intrinsics for camera model {camdata[1].model}!") raise ValueError(f"Please parse the intrinsics for camera model {camdata[1].model}!") raise ValueError(f"Please parse the intrinsics for camera model {camdata[1].model}!") ValueError: Please parse the intrinsics for camera model SIMPLE_PINHOLE!

Hello, may I ask after I made the data set with colmap, Run python launch.py --config configs/nerf-colmap.yaml --gpu 0 --train dataset.scene=cup tag=example. Please help me