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I'm trying to create a variable sized kernel using np.zeros method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

I'm trying to create a variable sized kernel using np.zeros np.ones method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

I'm trying to create a variable sized kernel using np.ones method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

I'm trying to create a variable sized kernel using np.ones method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

I'm trying to create a variable sized kernel using np.ones method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

cv.namedWindow('Trackbars')

cv.createTrackbar('kernel_W', 'Trackbars', 1, 100, nothing)
cv.setTrackbarPos('kernel_W', 'Trackbars', 1)
cv.createTrackbar('kernel_H', 'Trackbars', 1, 100, nothing)
cv.setTrackbarPos('kernel_H', 'Trackbars', 1)
cv.createTrackbar('bin_Th', 'Trackbars', 1, 255, nothing)
cv.setTrackbarPos('bin_Th', 'Trackbars', 1)

print (img.shape)
while True:

    kSize_w = cv.getTrackbarPos('kernel_W', 'Trackbars')
    kSize_h = cv.getTrackbarPos('kernel_H', 'Trackbars')
    bin_Th_val = cv.getTrackbarPos('bin_Th', 'Trackbars')

    _, mask = cv.threshold(img, bin_Th_val, 255, cv.THRESH_BINARY)

    kernel = np.ones((kSize_h,kSize_w), dtype = np.uint8)

    dilation= cv.dilate(mask, kernel, iterations = 3)

    cv.imshow('Initial Image', img)
    cv.imshow('Kernel', kernel)
    cv.imshow('mask', mask)
    cv.imshow('dilation', dilation)

    if cv.waitKey(2) == 27:
        break

I'm trying to create a variable sized kernel using np.ones method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

code

import cv2 as cv import numpy as np

def nothing(x): pass

img = cv.imread('sudoku.jpg', 0)

if img is None: print ('Null Image') else:

cv.namedWindow('Trackbars')

cv.createTrackbar('kernel_W', 'Trackbars', 1, 100, nothing)
cv.setTrackbarPos('kernel_W', 'Trackbars', 1)
cv.createTrackbar('kernel_H', 'Trackbars', 1, 100, nothing)
cv.setTrackbarPos('kernel_H', 'Trackbars', 1)
cv.createTrackbar('bin_Th', 'Trackbars', 1, 255, nothing)
cv.setTrackbarPos('bin_Th', 'Trackbars', 1)

print (img.shape)
while True:

    kSize_w = cv.getTrackbarPos('kernel_W', 'Trackbars')
    kSize_h = cv.getTrackbarPos('kernel_H', 'Trackbars')
    bin_Th_val = cv.getTrackbarPos('bin_Th', 'Trackbars')

    _, mask = cv.threshold(img, bin_Th_val, 255, cv.THRESH_BINARY)

    kernel = np.ones((kSize_h,kSize_w), dtype = np.uint8)

    dilation= cv.dilate(mask, kernel, iterations = 3)

    cv.imshow('Initial Image', img)
    cv.imshow('Kernel', kernel)
    cv.imshow('mask', mask)
    cv.imshow('dilation', dilation)

    if cv.waitKey(2) == 27:
        break

I'm trying to create a variable sized kernel using np.ones method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

code

import cv2 as cv import numpy as np

def nothing(x): pass

img = cv.imread('sudoku.jpg', 0)

if img is None: print ('Null Image') else:else: cv.namedWindow('Trackbars')

cv.namedWindow('Trackbars')

cv.createTrackbar('kernel_W', 'Trackbars', 1, 100, nothing)
cv.setTrackbarPos('kernel_W', 'Trackbars', 1)
cv.createTrackbar('kernel_H', 'Trackbars', 1, 100, nothing)
cv.setTrackbarPos('kernel_H', 'Trackbars', 1)
cv.createTrackbar('bin_Th', 'Trackbars', 1, 255, nothing)
cv.setTrackbarPos('bin_Th', 'Trackbars', 1)

print (img.shape)
while True:

    kSize_w = cv.getTrackbarPos('kernel_W', 'Trackbars')
    kSize_h = cv.getTrackbarPos('kernel_H', 'Trackbars')
    bin_Th_val = cv.getTrackbarPos('bin_Th', 'Trackbars')

    _, mask = cv.threshold(img, bin_Th_val, 255, cv.THRESH_BINARY)

    kernel = np.ones((kSize_h,kSize_w), dtype = np.uint8)

    dilation= cv.dilate(mask, kernel, iterations = 3)

    cv.imshow('Initial Image', img)
    cv.imshow('Kernel', kernel)
    cv.imshow('mask', mask)
    cv.imshow('dilation', dilation)

    if cv.waitKey(2) == 27:
        break

I'm trying to create a variable sized kernel using np.ones method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

import cv2 as cv import numpy as np

def nothing(x): pass

img = cv.imread('sudoku.jpg', 0)

if img is None: print ('Null Image') else: cv.namedWindow('Trackbars')

cv.createTrackbar('kernel_W', 'Trackbars', 1, 100, nothing)
cv.setTrackbarPos('kernel_W', 'Trackbars', 1)
cv.createTrackbar('kernel_H', 'Trackbars', 1, 100, nothing)
cv.setTrackbarPos('kernel_H', 'Trackbars', 1)
cv.createTrackbar('bin_Th', 'Trackbars', 1, 255, nothing)
cv.setTrackbarPos('bin_Th', 'Trackbars', 1)

print (img.shape)
while True:

    kSize_w = cv.getTrackbarPos('kernel_W', 'Trackbars')
    kSize_h = cv.getTrackbarPos('kernel_H', 'Trackbars')
    bin_Th_val = cv.getTrackbarPos('bin_Th', 'Trackbars')

    _, mask = cv.threshold(img, bin_Th_val, 255, cv.THRESH_BINARY)

    kernel = np.ones((kSize_h,kSize_w), dtype = np.uint8)

    dilation= cv.dilate(mask, kernel, iterations = 3)

    cv.imshow('Initial Image', img)
    cv.imshow('Kernel', kernel)
    cv.imshow('mask', mask)
    cv.imshow('dilation', dilation)

    if cv.waitKey(2) == 27:
        break

I'm trying to create a variable sized kernel using np.ones method and trackbars in order to easily modify the size of the kernel. The problem seems to be that the width of the kernel does not decrease when the afferent parameter gets smaller. However this is not the case for the height of the kernel. The shape is correctly passed as a tuple of integers. Could anyone help me understand what's going on here?

import cv2 as cv
import numpy as np
 
np
def nothing(x):
pass
 
pass
img = cv.imread('sudoku.jpg', 0)
 
0)
if img is None:
print ('Null Image')
else:
cv.namedWindow('Trackbars')
 
cv.namedWindow('Trackbars')
cv.createTrackbar('kernel_W', 'Trackbars', 1, 100, nothing)
 cv.setTrackbarPos('kernel_W', 'Trackbars', 1)
 cv.createTrackbar('kernel_H', 'Trackbars', 1, 100, nothing)
 cv.setTrackbarPos('kernel_H', 'Trackbars', 1)
 cv.createTrackbar('bin_Th', 'Trackbars', 1, 255, nothing)
 cv.setTrackbarPos('bin_Th', 'Trackbars', 1)
 print (img.shape)
 while True:
 kSize_w = cv.getTrackbarPos('kernel_W', 'Trackbars')
 kSize_h = cv.getTrackbarPos('kernel_H', 'Trackbars')
 bin_Th_val = cv.getTrackbarPos('bin_Th', 'Trackbars')
  _, mask = cv.threshold(img, bin_Th_val, 255, cv.THRESH_BINARY)
 kernel = np.ones((kSize_h,kSize_w), dtype = np.uint8)
  dilation= cv.dilate(mask, kernel, iterations = 3)
 cv.imshow('Initial Image', img)
 cv.imshow('Kernel', kernel)
 cv.imshow('mask', mask)
 cv.imshow('dilation', dilation)
  if cv.waitKey(2) == 27:
 break