We said a simple array, 1234import numpy as npa = np.arange((4))#array([0, 1, 2, 3]) CopyNormally, we set b is equal to a and c is equal to b. 12345b ...

Let’s continue to see something for array — split. As usual, make a array first. 12345A = np.arange(12).reshape((3,4))#array([[ 0, 1, 2, 3],# ...

We have done some basic operations on a array, now, let’s see the combination of two arrays. Firstly, as usual, make two arrays 12A = np.array([1,1,1] ...

We make two new arrays firstly, 123456A = np.arange(0,6)# array([0, 1, 2, 3, 4, 5])B = A.reshape((2,3))#array([[0, 1, 2],# [3, 4, 5]]) One-di ...

We make two arrays first. 123456789a = np.array([[2,2,2],[3,3,3],[4,4,4]])b = np.ones((3,3))#array([[2, 2, 2],# [3, 3, 3],# [4, 4, 4]])#ar ...

At first, import the numpy. Normally, we will import it as np for calling it easily. 1import numpy as np AttributesUsing a method called array to t ...

IntroductionThere are two important parts in computation nowadays. They analysis data via matrix, so they are used popularly in Data Analysis, Machine ...

Firstly, everything you do before, do not forget to import “<fstream>”. 1include <fstream> Three common operations in “<fstream>” ...

IntroductionIt is different from math. But, it is similar. There is 1-dim convolution, 2-dim convolution, 3-dim convolution and 4-dim convolution. And ...

Here, I would like to introduce a basic operation of CV, transform. It is a very import part, which is Similarity Transform, Affine Transform and Pers ...