Beispiel #1
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 def test_init(self):
     cc = ll.CameraCalibrator(9, 6, 'camera_cal/calibration*.jpg')
     self.assertEqual(cc.nx, 9, 'nx not initialized')
     self.assertEqual(cc.ny, 6, 'ny not initialized')
     self.assertEqual(cc.file_template, \
                      'camera_cal/calibration*.jpg', \
                      'file_template not initialized')
     self.assertIsNone(cc.mtx, 'mtx should initialize to None')
     self.assertIsNone(cc.dist, 'dist should initialize to None')
Beispiel #2
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 def test_undistort(self):
     cc = ll.CameraCalibrator(9, 6, 'camera_cal/calibration*.jpg')
     img = cv2.imread('test_images/test1.jpg')
     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
     with self.assertRaises(AssertionError):
         undistorted = cc.undistort([])
     undistorted = cc.undistort(gray)
     self.assertTrue(type(undistorted) is np.ndarray, \
                     'undistorted image is not a numpy array')
     self.assertEqual(gray.shape, undistorted.shape, \
                      'undistored image is not same dimensions as original')
import numpy as np
import glob
import scipy.misc
import lanelines as ll

# image notes
# cv2.imread() BGR
# mpimg.imread() RGB
# scipy.misc.imread() RGB
# plt.imshow(img) or plt.imshow(img, cmap='gray')

# CamerCalibrator
# use CameraCalibration to read a checkerboard image
# save it as cc_initial_checkerboard_image.jpg
# undistort it and save it as cc_undistored_checkerboard_image.jpg
cc = ll.CameraCalibrator(9, 6, 'camera_cal/calibration*.jpg')
img = scipy.misc.imread('camera_cal/calibration2.jpg')
scipy.misc.imsave('output_images/cc_initial_checkerboard_image.jpg', img)
undistorted = cc.undistort(img)
scipy.misc.imsave('output_images/cc_undistorted_checkerboard_image.jpg', \
                  undistorted)
# use CameraCalibration to read a road image
# save it as cc_initial_road_image.jpg
# undistort it and save it as cc_undistored_road_image.jpg
img = scipy.misc.imread('test_images/signs_vehicles_xygrad.png')
scipy.misc.imsave('output_images/cc_initial_road_image.jpg', img)
undistorted = cc.undistort(img)
scipy.misc.imsave('output_images/cc_undistorted_road_image.jpg', \
                  undistorted)

# PerspectiveTransformer
Beispiel #4
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 def test_calibrate(self):
     cc = ll.CameraCalibrator(9, 6, 'camera_cal/calibration*.jpg')
     cc.calibrate()
     self.assertIsNotNone(cc.mtx, 'mtx should not be None')
     self.assertIsNotNone(cc.dist, 'dist should not be None')