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hustvl / GaussianDreamer

GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models (CVPR 2024)
https://taoranyi.com/gaussiandreamer/
Apache License 2.0
691 stars 36 forks source link

ValueError: not enough values to unpack (expected 3, got 2) #47

Open TimenoLong opened 1 month ago

TimenoLong commented 1 month ago

Complete error as follows: :Traceback (most recent call last): File "/home/wyx/yangchenlong/GaussianDreamer-main/launch.py", line 240, in main(args, extras) File "/home/wyx/yangchenlong/GaussianDreamer-main/launch.py", line 183, in main trainer.fit(system, datamodule=dm, ckpt_path=cfg.resume) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py", line 538, in fit call._call_and_handle_interrupt( File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/trainer/call.py", line 47, in _call_and_handle_interr return trainer_fn(*args, kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py", line 574, in _fit_impl self._run(model, ckpt_path=ckpt_path) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py", line 981, in _run results = self._run_stage() File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py", line 1025, in _run_stage self.fit_loop.run() File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py", line 205, in run self.advance() File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py", line 363, in advance self.epoch_loop.run(self._data_fetcher) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/training_epoch_loop.py", line 140, in run self.advance(data_fetcher) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/training_epoch_loop.py", line 250, in advance batch_output = self.automatic_optimization.run(trainer.optimizers[0], batch_idx, kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 190, in run self._optimizer_step(batch_idx, closure) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 268, in _optim call._call_lightning_module_hook( File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/trainer/call.py", line 167, in _call_lightning_module output = fn(*args, kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/core/module.py", line 1306, in optimizer_step optimizer.step(closure=optimizer_closure) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py", line 153, in step step_output = self._strategy.optimizer_step(self._optimizer, closure, kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/strategies/strategy.py", line 238, in optimizer_step return self.precision_plugin.optimizer_step(optimizer, model=model, closure=closure, *kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/amp.py", line 78, in optimizer_step closure_result = closure() File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 144, in __call self._result = self.closure(args, kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 129, in closur step_output = self._step_fn() File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 317, in _train training_step_output = call._call_strategy_hook(trainer, "training_step", kwargs.values()) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/trainer/call.py", line 319, in _call_strategy_hook output = fn(args, kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/pytorch_lightning/strategies/strategy.py", line 390, in training_step return self.lightning_module.training_step(*args, kwargs) File "/home/wyx/yangchenlong/GaussianDreamer-main/threestudio/systems/GaussianDreamer.py", line 291, in training_step out = self(batch) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "/home/wyx/anaconda3/envs/splatterimage/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(args, kwargs) File "/home/wyx/yangchenlong/GaussianDreamer-main/threestudio/systems/GaussianDreamer.py", line 240, in forward render_pkg = render(viewpoint_cam, self.gaussian, self.pipe, renderbackground) File "/home/wyx/yangchenlong/GaussianDreamer-main/gaussiansplatting/gaussian_renderer/init.py", line 86, in render rendered_image, radii ,depth= rasterizer( ValueError: not enough values to unpack (expected 3, got 2)

Eminemowen commented 3 weeks ago

Hello, have you solved this problem?