How to determine near and far for custom dataset?

[yipingp]

Thanks for your great work!

I ran the code on dtu dataset in neus format, which contains image, mask, cameras_sphere.npz and cameras_large.npz. How should I determine near and far in this dataset (or a custom dataset created from colmap)?

I tried to use scale_mat_0 in camera_dict to replace self.cal_scale_mat() in dtu_fit.py, but it doesn't seem correct.

self.scale_mat = camera_dict['scale_mat_0'].astype(np.float32)
self.scale_factor = 1. / self.scale_mat[0,0]

# ! estimate scale_mat
# self.scale_mat, self.scale_factor = self.cal_scale_mat(
#     img_hw=[self.img_wh[1], self.img_wh[0]],
#     intrinsics=self.all_intrinsics[self.train_img_idx],
#     extrinsics=self.all_w2cs[self.train_img_idx],
#     near_fars=self.raw_near_fars[self.train_img_idx],
#     factor=1.1)

[BharathSeshadri]

hello, @yipingp were you able to solve this? in the same situation as you were