Hello,

I'm using Opencv 3.2 + Python on ubuntu 16.04 LTS OS. I'm trying to undistort the fisheye video which is collected from web cam. Below is my code where I'm undistorting the fisheye video by undistorting frame by frame. The program is executing fine and its undistorting fisheye video correctly but when I try to play the stored undistorted video (undistortedop.avi) it gives a error message saying "Could not demultiplex stream". Could anyone please help me to solve this problem..?

import numpy as np import os import glob import sys

assert float(cv2.__version__.rsplit('.', 1)[0]) >= 3, 'OpenCV version 3 or newer required.'

DIM=(1280, 720) K=np.array([[517.7167401534203, 0.0, 641.312338873659], [0.0, 518.0410707880329, 361.1273127787553], [0.0, 0.0, 1.0]]) D=np.array([[-0.00428080929837007], [-0.14786471866085527], [0.07941291495275071], [-0.025649243686649097]]) balance=0.95 dim2=None dim3=None

cap = cv2.VideoCapture(0)

Define the codec and create VideoWriter object

fourcc = cv2.VideoWriter_fourcc(*'XVID') out = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480)) out1 = cv2.VideoWriter('undistortedop.avi',fourcc, 20.0, (640,480))

while True: ret, frame = cap.read() gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# img = cv2.imread(img_path) # dim1 = img.shape[:2][::-1] #dim1 is the dimension of input image to un-distort dim1=(1280, 720) assert dim1[0]/dim1[1] == DIM[0]/DIM[1], "Image to undistort needs to have same aspect ratio as the ones used in calibration" if not dim2: dim2 = dim1 if not dim3: dim3 = dim1 dim3=(630, 480) scaled_K = K * dim1[0] / DIM[0] # The values of K is to scale with image dimension. scaled_K[2][2] = 1.0 # Except that K[2][2] is always 1.0 # This is how scaled_K, dim2 and balance are used to determine the final K used to un-distort image. OpenCV document failed to make this clear! new_K = cv2.fisheye.estimateNewCameraMatrixForUndistortRectify(scaled_K, D, dim2, np.eye(3), balance=balance) map1, map2 = cv2.fisheye.initUndistortRectifyMap(scaled_K, D, np.eye(3), new_K, dim3, cv2.CV_16SC2) undistorted_img = cv2.remap(frame, map1, map2, interpolation=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT) # cv2.imwrite('Testpic3_undistorted.jpg', undistorted_img)

out1.write(undistorted_img) cv2.imshow("undistorted", undistorted_img)

# Write the frame out.write(frame) cv2.imshow('frame',frame) # cv2.imshow('gray', gray)

if cv2.waitKey(1) & 0xFF == ord('q'): break

cap.release() out.release() out1.release() cv2.destroyAllWindows()

Thanks,

Hello,

I'm using Opencv 3.2 + Python on ubuntu 16.04 LTS OS. I'm trying to undistort the fisheye video which is collected from web cam. Below is my code where I'm undistorting the fisheye video by undistorting frame by frame. The program is executing fine and its undistorting fisheye video correctly but when I try to play the stored undistorted video (undistortedop.avi) it gives a error message saying "Could not demultiplex stream". Could anyone please help me to solve this problem..?

import numpy as np np

import os os

import glob glob

import sys

assert float(cv2.__version__.rsplit('.', 1)[0]) >= 3, 'OpenCV version 3 or newer required.'

DIM=(1280, 720) 720)

K=np.array([[517.7167401534203, 0.0, 641.312338873659], [0.0, 518.0410707880329, 361.1273127787553], [0.0, 0.0, 1.0]]) 1.0]])

D=np.array([[-0.00428080929837007], [-0.14786471866085527], [0.07941291495275071], [-0.025649243686649097]]) balance=0.95 dim2=None [-0.025649243686649097]])

balance=0.95

dim2=None

dim3=None

cap = cv2.VideoCapture(0)

Define the codec and create VideoWriter object

fourcc = cv2.VideoWriter_fourcc(*'XVID') cv2.VideoWriter_fourcc(*'XVID')

out = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480)) (640,480))

out1 = cv2.VideoWriter('undistortedop.avi',fourcc, 20.0, (640,480))

while True: True:

ret, frame = cap.read() cap.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# img = cv2.imread(img_path) cv2.imread(img_path)

# dim1 = img.shape[:2][::-1] #dim1 is the dimension of input image to un-distort un-distort

dim1=(1280, 720) 720)

assert dim1[0]/dim1[1] == DIM[0]/DIM[1], "Image to undistort needs to have same aspect ratio as the ones used in calibration" calibration"

if not dim2: dim2:

   dim2 = dim1
 

if not dim3: dim3:

   dim3 = dim1
 

dim3=(630, 480) 480)

scaled_K = K * dim1[0] / DIM[0] # The values of K is to scale with image dimension. dimension.

scaled_K[2][2] = 1.0 # Except that K[2][2] is always 1.0 1.0

# This is how scaled_K, dim2 and balance are used to determine the final K used to un-distort image. OpenCV document failed to make this clear! clear!

new_K = cv2.fisheye.estimateNewCameraMatrixForUndistortRectify(scaled_K, D, dim2, np.eye(3), balance=balance) balance=balance)

map1, map2 = cv2.fisheye.initUndistortRectifyMap(scaled_K, D, np.eye(3), new_K, dim3, cv2.CV_16SC2) cv2.CV_16SC2)

undistorted_img = cv2.remap(frame, map1, map2, interpolation=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT) borderMode=cv2.BORDER_CONSTANT)

# cv2.imwrite('Testpic3_undistorted.jpg', undistorted_img)

out1.write(undistorted_img) out1.write(undistorted_img)

cv2.imshow("undistorted", undistorted_img)

# Write the frame out.write(frame) cv2.imshow('frame',frame) frame

out.write(frame)

cv2.imshow('frame',frame)

# cv2.imshow('gray', gray)

if cv2.waitKey(1) & 0xFF == ord('q'): break

cap.release() out.release() out1.release() ord('q'):

   break

cap.release()

out.release()

out1.release()

cv2.destroyAllWindows()

Thanks,