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Answer card recognition project based on Opencv image recognition In the course of watching Mr. Tang Yudi's image processing, there is a small item of answer card recognition. Here, I will make a simple summary combined with my own understanding. 1. Project analysis First, when getting the project, analyze what the purpose of the project is, ...

reference resources Official documents MinGW-W64 Download address Note that threads-posix MinGW-W64 in the parent directory. Here I download x86_64-posix-seh . Then add the bin folder to the environment variable: CMake Download address What I download here is cmake-3.21.2-windows-x86_64.msi Install the package. Download opencv D ...

1. Mat class common member functions and member variables Because Mat class is widely used and has many forms, only the more commonly used member functions and member variables are sorted out here. 1.1 Constructor (1) Default constructor cv::Mat::Mat() Default constructor: Generate a matrix and allocate storage using functions provided by ...

1 Introduction In the process of image processing, we often encounter some operations related to the object contour, such as calculating the perimeter area of the target contour. We can easily obtain the contour of each target by directly using the findContours function of Opencv, but after visualization, the order is disordered, as shown on t ...

During the process of integrating models into Deepstream Infer Plugin, there may be some problems. One of the problems that puzzles people is that after a model is integrated into Deepstream Infer Plugin, the accuracy of model reasoning decreases, which is worse than that of directly using python or C + + to call the original model or using Ten ...

1, Basic concepts You can summarize the basic concepts of DBSCAN with 1, 2, 3 and 4. One core idea: Based on density Intuitively, DBSCAN algorithm can find all dense regions of sample points and treat these dense regions as clustering clusters one by one. Two algorithm parameters: neighborhood radius R and minimum number of points min ...

Introduction There are still many elimination games in Python, and mumuzi has pushed many before~ 🍒 Source base 🍒—— Click on my avatar in the upper right corner of the home page and get the source code for free 🍒 The source code of previous periods is also dropping 🍒 For example, the ever-changing Xiaole, remember? Today, ...

Random Forest (RF) is a simple and easy-to-use machine learning algorithm. Even without super parameter adjustment, the Random Forest can still obtain good results in most cases. It can be used for classification tasks and regression tasks. It is one of the commonly used machine learning algorithms. 1, Random forest principle 1. Basic thought ...

Today we implement sleepiness detection. If the eyes have been closed for some time, we think they start to doze off and give an alarm to wake them up and attract their attention. We test a video to show the effect. At the same time, the code for turning on the camera is reserved in the code, which can be used after canceling the comment. Bu ...

target In this chapter, you will learn Feature matching and finding (homography matrix) homology will be confused from Calib3D module to find known objects in complex images. Basics In the previous content, a query image was used, in which some feature points were found, another train image was taken, the features were also found in the ima ...