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In this code i am trying to integral image and every time i run this code a window flash and desapear , then i get this error in terminal
import cv2
import numpy as np
image = cv2.imread("nancy.jpg")
(rows,cols,dims) = image.shape
sum = np.zeros((rows,cols), np.uint8)
imageIntegral = cv2.integral(image, sum, -1)
cv2.imshow("imageIntegral", imageIntegral)
cv2.waitKey()
Error:
cv2.imshow("imageIntegral",imageIntegral)cv2.error: OpenCV(4.1.0) C:/projects/opencv-python/opencv/modules/highgui/src/precomp.hpp:131:
error: (-215:Assertion failed) src_depth != CV_16F && src_depth != CV_32S in function 'convertToShow'
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OpenCV also provides a function that returns the integral image of both the input image and its square. This can be done by the following function. Here, sqdepth is the depth of the integral of the squared image (must be of type CV_32F, or CV_64F).
Suppose an image is w pixels wide and h pixels high. Then the integral of this will be w+1 pixels wide and h+1 pixels high. The first row and column of the integral image are all zeros. All other pixels have a value equal to the sum of all pixels before it. See the integral in the above image?
Steps to Implement cv2.imshow() in python Step 1: Import all necessary libraries. In this entire tutorial, I am using two main python modules. One is NumPy for black and white image creation. And the other is the OpenCV(cv2) module. Let’s import them. import numpy as np import cv2 Step 2: Examples on cv2.imshow() method
An integral image lets you calculate summations over image subregions. Rapidly.These summations are useful in many applications, like calculating HAAR wavelets. These are used in face recognition and other similar algorithms. Suppose an image is w pixels wide and h pixels high. Then the integral of this will be w+1 pixels wide and h+1 pixels high.
Check whether your image is uint8 or not
image = image.astype(np.uint8)
Help on cv2.integral:
>>> import cv2
>>> print(cv2.__version__)
4.0.1-dev
>>> help(cv2.integral)
Help on built-in function integral:
integral(...)
integral(src[, sum[, sdepth]]) -> sum
. @overload
A simple demo:
import numpy as np
import cv2
img = np.uint8(np.random.random((2,2,3))*255)
dst = cv2.integral(img)
>>> print(img.shape, img.dtype)
(2, 2, 3) uint8
>>> print(dst.shape, dst.dtype)
(3, 3, 3) int32
And you shouldn't use imshow directly on the dst image because it's not np.uint8. Normalize it to np.uint8 (range 0 to 255) or np.float32 (range 0.0 to 1.0). You can find the reason at this link: How to use `cv2.imshow` correctly for the float image returned by `cv2.distanceTransform`?
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