What are options to train for depth estimation like Figure 10 in your paper

[4iue0]

Hello, I want to use your wonderful work for depth estimation. But I could not start training with some errors. I tried this command

python train.py --name depthEstimation --dataset_mode custom --label_dir [monocular_Images_dir] --image_dir [depth_Images_dir] --no_instance_edge --no_instance_dist --no_one_hot

But I could not start training with this error.

RuntimeError: Given groups=1, weight of size 64 13 3 3, expected input[1, 3, 256, 256] to have 13 channels, but got 3 channels instead

The dataset images size is (512,512).

So please tell me options when you trained the depth estimation model with NYU dataset.

Thank you!