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Record the code. Standard Hough transform HoughLines() HoughLines(midImage, lines, 1, CV_PI/180, 150, 0, 0 ); The function input image is 8-bit single channel binary After calling HoughLines function, the output vector of the line detected by Hough line transformation is stored. Each line consists of a vector with two elements( ρ，θ ...

In slam, optical flow tracking judges the dynamics of an object in the image, which mainly includes three functions: 1. goodFeaturesToTrack function Function: extract corners at pixel level in the input image, and support harris corners and Shi Tomasi corners. Function prototype: void goodFeaturesToTrack( InputArray image, OutputArray corne ...

How to install OpenCV on Ubuntu 20.04 OpenCV(Open Source Computer Vision Library) is an open source computer vision library that supports C++, Python, and Java on all major operating systems. It can work with multicore processes and GPU Accelerated for real-time operation. OpenCV is widely used, including medical picture analysis, street view ...

preface opencv part about image drawing 1, Draw graphics Opencv4 provides the circle () function for drawing graphics Drawing a circle: prototype of the circle() function void circle(InputOutputArray img, Point center, int radius, const Scalar & color, int thickness = 1, int lineType = LINE_8, int shift = 0) img: need to draw a ...

Common loss function learning essays Learning objectivesKnow the loss function of classification taskKnow the loss function of the regression task In deep learning, loss function is a function used to measure the quality of model parameters. The measurement method is to compare the difference between network output and real output. The name ...

Pytorch: Overview of target detection networks, indicator calculation and use of pre-training networks Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology Pytorch Tutorial Column Link This tutorial is not commercial and is only for lear ...

preface Image size, flipping and affine transformation in opencv 1, Image size transformation Function prototype: void resize(InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation = INTER_LINEAR) src: input image dst: output image. The data type of image is the same as src dsize: output image s ...

1. PassThrough filter: for threshold filtering 1. Introduction of Straight-pass Filter PassThrough filters, as the name implies, use a threshold to directly filter out filters that do not meet the threshold. For example, if there are 100,000 numbers with values ranging from 1 to 100,000 and the pass filter has a threshold value of <50, ...

🐱 Medical text generation based on CNN-RNN This project uses resnet101 network pre trained by IMAGENET to extract image features, The image features are input into LSTM to generate a text description of the image. The simple generation from image to text is preliminarily realized. 📖 0 project background With the rapid development of ...

1. Basic Theory When processing feature descriptors suitable for multiple images, there are two main feature detection methods, one is angle-based detection, the other is to process all areas in the image. Here we will focus on angle-based detection. In 1988, Harris and Stephens presented an angle detection algorithm, HS Angle Detector. See p ...