• Numpy implements linear algebra in multidimensional arrays


    catalogue brief introduction Graphics loading and description Gray scale of graphics Compression of gray image Compression of original image summary brief introduction This paper will explain how to perform linear algebraic operations of multidimensional data in numpy in the form of charts.The linear algebra of multidimensional data is usually used in the graphic transformation of […]

  • Python numpy implementation of gray image segmentation and merging


    I don’t want to talk much nonsense. Let’s go straight to the code! from numpy import * import numpy as np import cv2, os, math, os.path from PIL import Image base=”F:\\Spy_CNN\\pythonCode\\cvSPY\\cvTest\\LBP\\LBPImag3\\” base2=”F:\\ProgrameCode\\FaceDataLib\\orl_Arry\\” imageOld=cv2.imread(base2+”s1_1.bmp”) image=cv2.cvtColor(imageOld,cv2.COLOR_BGR2GRAY) Synthesis of image H,W=image.shape#(112, 92) kuai=5 A = 1 # in order to adjust the program maskx,masky = H/kuai,W/kuai  #29 14 […]

  • Instance analysis of Python numpy array replication


    This article mainly introduces the use of Python numpy array replication instance parsing, the article through the example code is very detailed, for everyone’s study or work has a certain reference learning value, need friends can refer to When using python, we often deal with arrays. Sometimes we copy them, sometimes we don’t. this is […]

  • Examples of python, pytorch image reading and numpy conversion


    Tensor to numpy np.array(Tensor) Numpy to tensor torch.Tensor(numpy.darray) PIL.Image.Image Convert to numpy np.array(PIL.Image.Image) Numpy to PIL.Image.Image Image.fromarray(numpy.ndarray) First of all, it needs to be guaranteed numpy.ndarray convert to np.uint8 type numpy.astype ( np.uint8 ), pixel value [0255]. At the same time, the gray image is guaranteed numpy.shape Is (h, w), channels cannot appear We need […]

  • Stack instance of Python numpy matrix


    In practice, I encountered the operation of matrix stacking. I originally wanted to write a function myself. Later, I thought that there should be a library function, so I searched for it import numpy as np a = np.array([1,2,3]) b = np.array([4,5,6]) np.stack ((a, b)) ා default row stack Output: array([[1, 2, 3], [4, 5, […]

  • Example of histogram back projection using numpy in Python


    Recently, I studied python with opencv2 Python tutorials_ When backprojection histogram in opencv, the first method is to use numpy to separate the red rose in the graph. The code given in the tutorial is short of a function, which leads to the failure of implementation. The code and effect are as follows: code: import […]

  • The implementation of numpy sorting


    Numpy. Sort() function This function provides a variety of sorting functions, and supports a variety of sorting algorithms such as merge sort, heap sort, fast sort, etcThe format of using the numpy. Sort() method is: numpy.sort(a,axis,kind,order) a: Array to sort Axis: along the sorting axis, axis = 0 is sorted by column, axis = 1 […]

  • Implementation of numpy statistical function


    Numpy. Amin() and numpy. Amax() Numpy. Amin() is used to calculate the minimum value of the elements in the array along the specified axis. Numpy. Amax() is used to calculate the maximum value of elements in an array along the specified axis a=np.array([1,3,6],[3,4,11],[6,1,4]) Print (NP. Amin (a, 1) ? minimum value of each line Print […]

  • Mars algorithm practice face recognition


    Mars is a matrix based unified distributed computing framework. In the previous article, we have introduced what Mars is and its distributed execution, and Mars has been open-source in GitHub. When you finish reading the introduction of Mars, you may ask what it can do, which almost depends on what you want to do, because […]

  • What is Mars, what can be done and how to do it


    Recently, our latest work Mars, matrix based unified computing framework, has been shared in pycon China 2018’s Beijing main venue, Chengdu and Hangzhou branch venues. In this paper, we will elaborate the sharing of pycon in China again in the form of words. Hearing about Mars, many students who first heard about it will ask […]

  • AI = > tensorflow2.0 syntax tensor & basic function (1)


    Preface Tf2.0 is what we learned before. It was written in private ynote and rewritten in SF.Tf2.0-gpu installation tutorial portal: https://segmentfault.com/a/11I’ve been exposed to TF1 and manual session mechanism before. It’s a headache to watch Tf2.0 does not need to do thisTf2.0 is easier to understand (gradually Python and numpic)The back end of tf2.0 uses […]

  • ApacheCN Learning Resources Summary 2019.1


    [Home page] apachecn.org 【Github】@ApacheCN Temporary offline: community Temporary offline: cwiki knowledge base Self-media Platform Weibo: @ApacheCN Know: @ApacheCN CSDN Brief book OSChina Blog Garden We are not Apache’s official organization / organization / group, but a fan of Apache technology stack (and AI)! Collaborative infringement, please contact [fonttian] <[email protected]> | and send a copy to […]