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I The role of CommandLineParser This class belongs to one of many classes in opencv, which is used to parse the command line. When (int argc,char** argv) in the main function receives the input parameter, it can parse the input command through CommandLineParser to make different responses. One of the advantages of this parsing class is that wh ...

What is target tracking: tracking a target in an image, to put it bluntly, is to track a small image in the image. Remember the concept of image and small image, so let's start.   Mean shift principle The principle of mean shift is to find the local optimum according to the gradient climb of probability density. probability density If ...

Thousand image imaging: put together a picture with N pictures. Implementation principle: first convert the image to be imaged into mosaic image, and then replace the corresponding color block with the image of the corresponding color from the gallery. Picture processing in the Gallery: mark the mixed color of each picture in the gallery to rep ...

Welcome to my GitHub Here we classify and summarize all the original works of Xinchen (including supporting source code): https://github.com/zq2599/blog_demos Link to JavaCV face recognition Trilogy Save face in video as pictureTrainingIdentification and Preview Overview of this article As the end of the JavaCV face recognition trilog ...

Did you know that OpenCV has a built-in method to perform pedestrian detection? OpenCV comes with a pre trained HOG + linear SVM model that can be used to perform pedestrian detection in images and video streams. Today, we use Opencv's own model to detect pedestrians in the video stream. Just open a new file and name it detect Py, and then ad ...

1, Background modeling First, what belongs to the background? It's easy for us to judge which part of a picture is the background subjectively, but the computer can't identify which part is the background, so we have to find a way to tell the computer which part is the background. 1. Frame difference method Because the target in the sc ...

0. Preface opencv has two operations on pixels, one is to operate on a single pixel (point operation), and the other is to operate on the pixels of a region. They can be used separately to achieve different effects Recently, I mainly learned some point operations and some effects that can be achieved through point operations The first i ...

1, Draw simple geometry and add text Drawing graphics in opencv is very simple. We only need to use the following common functions. #Draw a line cv2.line() #Draw a circle cv2.circle() #Draw rectangle cv. rectangle() #Draw an ellipse cv.ellipse() #Add text to image cv.putText() In all the above functions, we can see some common parameters, as ...

Original link: http://www.juzicode.com/opencv-python-matchtemplate Return to opencv Python tutorial Template matching can find the feature image in the source image. The feature image is generally a rectangular image. In the previous article, orange fungus also introduced some methods about "matching" function, such as morphological ...

Deep learning image classification (11) mobile netv2 network structure In this section, learn about the network structure of MobileNetV2. Learning video from Bilibili , part of the reference description is derived from knowhow Explain MobileNetV2 in detail. 1. Preface MobileNetV2 was proposed by the google team in 2018. Compared with ...