""" the blender script to get the camera intrinsic matrix """ import bpy import numpy as np def get_calibration_matrix_K_from_blender(mode='simple'): scene = bpy.context.scene scale = scene.render.resolution_percentage / 100 width = scene.render.resolution_x * scale # px height = scene.render.resolution_y * scale # px camdata = scene.camera.data if mode == 'simple': aspect_ratio = width / height K = np.zeros((3,3), dtype=np.float32) K[0][0] = width / 2 / np.tan(camdata.angle / 2) K[1][1] = height / 2. / np.tan(camdata.angle / 2) * aspect_ratio K[0][2] = width / 2. K[1][2] = height / 2. K[2][2] = 1. K.transpose() if mode == 'complete': focal = camdata.lens # mm sensor_width = camdata.sensor_width # mm sensor_height = camdata.sensor_height # mm pixel_aspect_ratio = scene.render.pixel_aspect_x / scene.render.pixel_aspect_y if (camdata.sensor_fit == 'VERTICAL'): # the sensor height is fixed (sensor fit is horizontal), # the sensor width is effectively changed with the pixel aspect ratio s_u = width / sensor_width / pixel_aspect_ratio s_v = height / sensor_height else: # 'HORIZONTAL' and 'AUTO' # the sensor width is fixed (sensor fit is horizontal), # the sensor height is effectively changed with the pixel aspect ratio pixel_aspect_ratio = scene.render.pixel_aspect_x / scene.render.pixel_aspect_y s_u = width / sensor_width s_v = height * pixel_aspect_ratio / sensor_height # parameters of intrinsic calibration matrix K alpha_u = focal * s_u alpha_v = focal * s_v u_0 = width / 2 v_0 = height / 2 skew = 0 # only use rectangular pixels K = np.array([ [alpha_u, skew, u_0], [ 0, alpha_v, v_0], [ 0, 0, 1] ], dtype=np.float32) return K K = get_calibration_matrix_K_from_blender('complete') np.savetxt('./camera_para.txt', K)