Created
October 29, 2020 15:18
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import cv2 | |
import os | |
import numpy as np | |
mtx = [ 7.8612894299052164e+02, 0., 7.3830147560671890e+02, 0., | |
7.8839089780230699e+02, 6.5433443157976046e+02, 0., 0., 1. ] | |
mtx = np.array( mtx ).reshape((3, 3)) | |
dist = [ -3.3554454300236025e-01, 1.3238788177666494e-01, | |
-4.2860590649250341e-05, 4.3244374088120965e-04, | |
-2.5863792676102677e-02 ] | |
dist = np.array(dist) | |
folder = 'drive3_trafficlights' | |
img_name = '00235.jpg' | |
img = cv2.imread(os.path.join(folder, img_name)) | |
h, w = img.shape[:2] | |
newcameramtx, roi = cv2.getOptimalNewCameraMatrix(mtx,dist,(w,h),1, (w,h)) | |
images = os.listdir(folder) | |
for image in images: | |
if image.endswith('.jpg'): | |
image_path = os.path.join(folder, image) | |
img = cv2.imread(image_path) | |
# Undistorting | |
dst = cv2.undistort(img, mtx, dist, None, newcameramtx) | |
# Cropping the image | |
x,y,w,h = roi | |
dst = dst[y:+y+h, x:x+w] | |
cv2.imwrite(image, dst) | |
break |
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