| # Put most Common Functions Here | |
| import cv2 | |
| import torch | |
| import numpy as np | |
| from einops.einops import rearrange | |
| def compute_intrinsic_measure(Kest, Kgt, h, w): | |
| fxest, fyest, bxest, byest = Kest[0, 0], Kest[1, 1], Kest[0, 2], Kest[1, 2] | |
| fxgt, fygt, bxgt, bygt = Kgt[0, 0], Kgt[1, 1], Kgt[0, 2], Kgt[1, 2] | |
| error_fx = ((fxest - fxgt) / fxgt).abs().item() | |
| error_fy = ((fyest - fygt) / fygt).abs().item() | |
| error_f = max( | |
| error_fx, | |
| error_fy, | |
| ) | |
| error_bx = (bxest - bxgt).abs().item() / w * 2 | |
| error_by = (byest - bygt).abs().item() / h * 2 | |
| error_b = max( | |
| error_bx, | |
| error_by | |
| ) | |
| return error_fx, error_fy, error_f, error_bx, error_by, error_b |