import copy # import plotly.express as px # import plotly.graph_objects as go import json import numpy as np CAMERA_MOTION_MODE = ["Basic Camera Poses", "Provided Complex Camera Poses", "Customize Camera Poses"] CAMERA = { # T "base_T_norm": 1.5, "base_angle": np.pi/3, "Pan Up": { "angle":[0., 0., 0.], "T":[0., 1., 0.]}, "Pan Down": { "angle":[0., 0., 0.], "T":[0.,-1.,0.]}, "Pan Left": { "angle":[0., 0., 0.], "T":[1.,0.,0.]}, "Pan Right": { "angle":[0., 0., 0.], "T": [-1.,0.,0.]}, "Zoom In": { "angle":[0., 0., 0.], "T": [0.,0.,-2.]}, "Zoom Out": { "angle":[0., 0., 0.], "T": [0.,0.,2.]}, "ACW": { "angle": [0., 0., 1.], "T":[0., 0., 0.]}, "CW": { "angle": [0., 0., -1.], "T":[0., 0., 0.]}, } COMPLEX_CAMERA = { "Pose_1": "examples/camera_poses/test_camera_1424acd0007d40b5.json", "Pose_2": "examples/camera_poses/test_camera_d971457c81bca597.json", "Pose_3": "examples/camera_poses/test_camera_Round-ZoomIn.json", "Pose_4": "examples/camera_poses/test_camera_Round-RI_90.json", "Pose_5": "examples/camera_poses/test_camera_Round-RI_120.json", "Pose_6": "examples/camera_poses/test_camera_018f7907401f2fef.json", "Pose_7": "examples/camera_poses/test_camera_088b93f15ca8745d.json", "Pose_8": "examples/camera_poses/test_camera_b133a504fc90a2d1.json", } def compute_R_form_rad_angle(angles): theta_x, theta_y, theta_z = angles Rx = np.array([[1, 0, 0], [0, np.cos(theta_x), -np.sin(theta_x)], [0, np.sin(theta_x), np.cos(theta_x)]]) Ry = np.array([[np.cos(theta_y), 0, np.sin(theta_y)], [0, 1, 0], [-np.sin(theta_y), 0, np.cos(theta_y)]]) Rz = np.array([[np.cos(theta_z), -np.sin(theta_z), 0], [np.sin(theta_z), np.cos(theta_z), 0], [0, 0, 1]]) # 计算相机外参的旋转矩阵 R = np.dot(Rz, np.dot(Ry, Rx)) return R def get_camera_motion(angle, T, speed, n=16): RT = [] for i in range(n): _angle = (i/n)*speed*(CAMERA["base_angle"])*angle R = compute_R_form_rad_angle(_angle) # _T = (i/n)*speed*(T.reshape(3,1)) _T=(i/n)*speed*(CAMERA["base_T_norm"])*(T.reshape(3,1)) _RT = np.concatenate([R,_T], axis=1) RT.append(_RT) RT = np.stack(RT) return RT def create_relative(RT_list, K_1=4.7, dataset="syn"): RT = copy.deepcopy(RT_list[0]) R_inv = RT[:,:3].T T = RT[:,-1] temp = [] for _RT in RT_list: _RT[:,:3] = np.dot(_RT[:,:3], R_inv) _RT[:,-1] = _RT[:,-1] - np.dot(_RT[:,:3], T) temp.append(_RT) RT_list = temp return RT_list def combine_camera_motion(RT_0, RT_1): RT = copy.deepcopy(RT_0[-1]) R = RT[:,:3] R_inv = RT[:,:3].T T = RT[:,-1] temp = [] for _RT in RT_1: _RT[:,:3] = np.dot(_RT[:,:3], R) _RT[:,-1] = _RT[:,-1] + np.dot(np.dot(_RT[:,:3], R_inv), T) temp.append(_RT) RT_1 = np.stack(temp) return np.concatenate([RT_0, RT_1], axis=0) def process_camera(camera_dict): # "First A then B", "Both A and B", "Custom" if camera_dict['complex'] is not None: with open(COMPLEX_CAMERA[camera_dict['complex']]) as f: RT = json.load(f) # [16, 12] RT = np.array(RT).reshape(-1, 3, 4) print(RT.shape) return RT motion_list = camera_dict['motion'] mode = camera_dict['mode'] speed = camera_dict['speed'] print(len(motion_list)) if len(motion_list) == 0: angle = np.array([0,0,0]) T = np.array([0,0,0]) RT = get_camera_motion(angle, T, speed, 16) elif len(motion_list) == 1: angle = np.array(CAMERA[motion_list[0]]["angle"]) T = np.array(CAMERA[motion_list[0]]["T"]) print(angle, T) RT = get_camera_motion(angle, T, speed, 16) elif len(motion_list) == 2: if mode == "Customized Mode 1: First A then B": angle = np.array(CAMERA[motion_list[0]]["angle"]) T = np.array(CAMERA[motion_list[0]]["T"]) RT_0 = get_camera_motion(angle, T, speed, 8) angle = np.array(CAMERA[motion_list[1]]["angle"]) T = np.array(CAMERA[motion_list[1]]["T"]) RT_1 = get_camera_motion(angle, T, speed, 8) RT = combine_camera_motion(RT_0, RT_1) elif mode == "Customized Mode 2: Both A and B": angle = np.array(CAMERA[motion_list[0]]["angle"]) + np.array(CAMERA[motion_list[1]]["angle"]) T = np.array(CAMERA[motion_list[0]]["T"]) + np.array(CAMERA[motion_list[1]]["T"]) RT = get_camera_motion(angle, T, speed, 16) # return RT.reshape(-1, 12) return RT