-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathcam_calibrate.py
57 lines (46 loc) · 2.17 KB
/
cam_calibrate.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
import cv2
import numpy as np
from djitellopy import tello
def take_calibration_photos():
drone = tello.Tello()
drone.connect()
print("Drone connected!")
drone.streamon()
cali_img_list = []
while len(cali_img_list) < 300:
img = drone.get_frame_read().frame
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cali_img_list.append(img)
cv2.imshow("drone_view", img)
path_img = "/home/muyejia1202/ComputerVision/project/VO_test_images/drone_straight_line/" + str(len(cali_img_list)) + ".png"
cv2.imwrite(path_img, img)
cv2.waitKey(100)
def calibrate_camera():
CHECKER_BOARD = (7,7)
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
real_coord = []
img_coord = []
objp = np.zeros((1, CHECKER_BOARD[0] * CHECKER_BOARD[1], 3), np.float32)
objp[0,:,:2] = 0.051 * np.mgrid[0:CHECKER_BOARD[0], 0:CHECKER_BOARD[1]].T.reshape(-1, 2)
for i in range(9):
img_path = "/home/muyejia1202/ComputerVision/project/calibration_images/" + str(i+1) + ".jpg"
img = cv2.imread(img_path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, corners = cv2.findChessboardCorners(gray, CHECKER_BOARD, cv2.CALIB_CB_ADAPTIVE_THRESH + cv2.CALIB_CB_FAST_CHECK + cv2.CALIB_CB_NORMALIZE_IMAGE)
if ret:
refined_corner = cv2.cornerSubPix(gray, corners, (11,11), zeroZone=(-1,-1), criteria=criteria)
# with_corner = cv2.drawChessboardCorners(img, CHECKER_BOARD, refined_corner, ret)
# cv2.imwrite("/home/muyejia1202/ComputerVision/project/corner_detection/" + str(i+1) + "_trial2.jpg", with_corner)
img_coord.append(refined_corner)
real_coord.append(objp)
# cv2.imshow("img_"+str(i), with_corner)
# cv2.waitKey(1000)
else:
print("image refine failed")
return img_coord, real_coord
if __name__ == "__main__":
take_calibration_photos()
# img_coord, real_coord = calibrate_camera()
# flag, cam_matrix, dist, rvecs, tvecs = cv2.calibrateCamera(real_coord, img_coord, (480, 480), None, None)
# print("\nThe drone's camera matrix")
# print(cam_matrix)