11/18/2018

Elastic image effect, python opencv example source code.

Elastic effect source code.
It can be useful when you want to augment image dataset.
and it is also good to make image effect.

Please refer code:

import numpy as np
import cv2
from scipy.ndimage.interpolation import map_coordinates
from scipy.ndimage.filters import gaussian_filter

def elastic(image, alpha, sigma, random_state=None):
"""Elastic deformation of images as described in [Simard2003]_.
.. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for
Convolutional Neural Networks applied to Visual Document Analysis", in
Proc. of the International Conference on Document Analysis and
Recognition, 2003.
"""
if random_state is None:
random_state = np.random.RandomState(None)

#print(random_state)
shape = image.shape
dx = gaussian_filter((random_state.rand(*shape) * 2 - 1), sigma, mode="constant", cval=0) * alpha
dy = gaussian_filter((random_state.rand(*shape) * 2 - 1), sigma, mode="constant", cval=0) * alpha
dz = np.zeros_like(dx)

x, y, z = np.meshgrid(np.arange(shape[1]), np.arange(shape[0]), np.arange(shape[2]))

indices = np.reshape(y+dy, (-1, 1)), np.reshape(x+dx, (-1, 1)), np.reshape(z, (-1, 1))
distored_image = map_coordinates(image, indices, order=1, mode='nearest') #wrap,reflect, nearest

return distored_image.reshape(image.shape)



#main
#file read
o_img = cv2.imread('izone_oy.png')
elMat = elastic(o_img, alpha=5000, sigma=8, random_state=None)

cv2.namedWindow('origin',0)
cv2.imshow('origin', o_img)
cv2.namedWindow('elastic',0)
cv2.imshow('elastic', elMat)

cv2.waitKey(0)


GitHub url :



python OpenCV, draw grid example source code

make well divided linear coordinate
And make pair coordinate

Please see code for detail explanation.


import numpy as np
import cv2
import sys

rows = 500
cols = 500
newMat_3ch = np.zeros((rows, cols, 3), dtype = "uint8") #3channel

step = 20
x = np.linspace(start=0, stop=rows, num=step)
y = np.linspace(start=0, stop=cols, num=step)

v_xy = []
h_xy = []
for i in range(step):
v_xy.append( [int(x[i]), 0, int(x[i]), rows-1] )
h_xy.append( [0, int(y[i]), cols-1, int(y[i])] )

for i in range(step):
[x1, y1, x2, y2] = v_xy[i]
[x1_, y1_, x2_, y2_] = h_xy[i]

cv2.line(newMat_3ch, (x1,y1), (x2, y2), (0,0,255),1 )
cv2.line(newMat_3ch, (x1_,y1_), (x2_, y2_), (255,0,0),1 )
cv2.namedWindow('newMat_3ch',0)
cv2.imshow('newMat_3ch', newMat_3ch)
cv2.waitKey(0)