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preface: Previously, I wrote an article about using opencv on nano. By default, the library of opencv is installed on nano. In addition to nano, we also want to use opencv to do some usual image processing verification on our own computers. Originally, I read some materials and installed them. I don't think it's necessary to write them. How ...

Abstract: This paper introduces the image classification system based on support vector machine in detail, and gives the algorithm introduction and interface design process of MATLAB. In the interface, you can click to select pictures or folders with pictures, and the system will automatically identify and classify the pictures involved, and ...

It is used to wait for the key. When the user presses the keyboard, the statement will be executed and its return value will be obtained. When delay > 0, the program will wait for the user's key to trigger within a given delay time or wait for a delay time, and the program will continue to execute. If delay = 0, it means that the user must c ...

Effective Hybrid Genetic Algorithm (EHGA) STEP 1: input image Read image X ( i , j ) X(i,j) X(i,j), where i ...

Convolutional neural network (CNN) Learning objectives Understand the composition of convolutional neural networkKnow the principle and calculation process of convolutionUnderstand the function and calculation process of pooling There are two problems in image processing using fully connected neural network: The amount of data to be p ...

Get and modify pixel values For color images, the value of a pixel in opencv represents the values of B, G and R of this pixel. Get pixel value import cv2 import numpy as np # Read picture img = cv2.imread("../data/image/1.jpeg",cv2.IMREAD_COLOR) #Get the pixel value (B,G,R) of row 100 and column 100 px = img[100,100] print(px) #Get the ...

Computer vision life learn SLAM learning notes from scratch The following topics are from computer vision life. Learn SLAM series from scratch Point cloud fusion subject Title: point cloud fusion experiment. Given the RGB + depth images taken by 3 frames (discontinuous) RGB-D camera and the transformation matrix between them (taking t ...

You can learn the code with the paper and ReID below GitHub - michuanhaohao/ReID_tutorial_slides: courseware of deep learning and pedestrian recognitionDeep learning and pedestrian recognition, Dr. Luo Hao, Zhejiang University_ Beep beep beep_ bilibilihttps://www.bilibili.com/video/BV1Pg4y1q7sN?from=search&seid=12319613973768358764&spm_ ...

youcans OpenCV learning course - 8 Frequency domain image filtering (Part 2) This series is for Python Xiaobai and explains the actual combat of OpenCV project from scratch. Image filtering is a common image preprocessing operation to suppress the noise of the target image while preserving the detailed features of the image as much as possible ...

Previously: Interpretation of mask rcnn super detailed code (I) (Xiaosheng has been busy with other things recently, and the update has been delayed for a month... Next, he will try to finish all the contents by the day in a row) Summary of network structure in 1 (I) (this paragraph can be ignored after just reading (I)) (1) Three parts: ...