def test_distortion(self):
epsilon = 10e-4
# Conformal projections should have maximum angular distortion
# equal to 0 and linear distortion equal to 1.0.
mad, ld, ad = di.distortion(merc, lam, phi)[1:]
self.assertAlmostEqual(mad, 0.0, places=6)
self.assertAlmostEqual(ld, 1.0, places=6)
# Area preserving projections should have area distortion
# equal to 1.0.
mad, ld, ad = di.distortion(cea, lam, phi)[1:]
self.assertAlmostEqual(ad, 1.0, places=6)
# Degrees mode output should agree with radians mode output.
get = di.distortion(cea_ed, lam_deg, phi_deg)
expect = list(di.distortion(cea_e, lam, phi))
# Entry 1 is an angular measurement.
expect[1] = rad2deg(expect[1])
for i in range(len(expect)):
self.assertAlmostEqual(get[i], expect[i])
import cv2
import client
import morph
import hough
import distortion as dist
Trans = client.TrasnferClient()
Morph = morph.morph()
Hough = hough.hough(50,100)
Dist = dist.distortion()
#bright = cv2.imread("./bright.jpg")
#bright = cv2.cvtColor(bright,cv2.COLOR_BGR2GRAY)
#width, height = bright.shape[:2]
#for i in range(width):
# for j in range(height):
# bright[i, j] = 255-bright[i, j]
p=0
q=0
# construct camera object
cam = cv2.VideoCapture(0)
while(True) :
ret, img = cam.read()
#img = cv2.imread('001_crack.jpg')
# q += 1
import cv2
import numpy as np
import distortion
import auto_canny as auto
import hough
import newlib
kernel = np.ones((3, 3), np.uint8)
Hough = hough.hough()
Dist = distortion.distortion()
cam = cv2.VideoCapture(0)
while (cam.isOpened()):
I1 = []
I2 = []
I3 = []
count = 0
ret, img = cam.read()
img = Dist.Undistort(img)
img = img[90:340, 175:425]
h, w = img.shape[:2]
img_h = Hough.HoughDetect(img)
img_h = cv2.morphologyEx(img_h, cv2.MORPH_CLOSE, kernel, iterations=1)
npic_1 = np.zeros((h, w), dtype=np.float32)