Open cjfcsjt opened 1 year ago
Hi. Sorry for the error. Which configure are you using? I will re-produce it.
Hi, sorry for the late reply. I use the nerf_slim.yaml, and set the datasampler_type: str = "images" in config.py.
The command I use is
python main.py config=config/dnerf_slim.yaml
The error happened at hexplane/render/trainer.py
elif self.cfg.data.datasampler_type == "images":
img_i = self.sampler.nextids()
data = train_dataset[img_i]
rays_train, rgb_train, frame_time = (
data["rays"],
data["rgbs"].to(self.device).view(-1, 3),
data["time"],
)
I fix the code to the following and the code will run successfully:
rays_train, rgb_train, frame_time = (
data["rays"].to(self.device).view(-1, 6),
data["rgbs"].to(self.device).view(-1, 3),
data["time"].to(self.device).view(-1, 1),
)
Thanks for you great work!
I try to set datasampler_type: str = "images" in config.py instead of "rays" for HexPlanSlim, but it results in tensor shape error.
I found that the rays_train and frame_time has the shape [B, H W, 6] and [B, H W, 1] (I guess that the first dim denotes batch), should I first reshape the tensor?