Install working tensorflow or pytorch via standard conda environment workflow.
The recommended conda-based install process works smoothly:
$ # Create a fresh environment
import cv2 | |
import numpy as np | |
def in_front_of_both_cameras(first_points, second_points, rot, trans): | |
# check if the point correspondences are in front of both images | |
rot_inv = rot | |
for first, second in zip(first_points, second_points): | |
first_z = np.dot(rot[0, :] - second[0]*rot[2, :], trans) / np.dot(rot[0, :] - second[0]*rot[2, :], second) | |
first_3d_point = np.array([first[0] * first_z, second[0] * first_z, first_z]) |