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Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it preface The ARM CPU architecture used by raspberry school is different from the X86 CPU architecture of PC. due to the different platform capabilities of the two, not all the software pac ...

Mathematical morphology is an important tool for image processing. It can be used to obtain image boundary, extract skeleton, remove noise and detect corners Character recognition, visual detection and medical image processing. Morphological transformation is a simple operation based on image shape. Morphological processing is mainly aimed at ...

0. Why choose OpenCV for reasoning           It is reasonable to use OpenVINO reasoning Suite (engine) for optimization and accelerated reasoning, or other reasoning Suites for reasoning, such as TensorRT, etc. OpenVINO It is a comprehensive tool suite launched by Intel for rapid deployment of applications and solutions. T ...

catalogue 1, Install OpenCV3.4.11 1.1 download and unzip the installation package 1.2 installing opencv 1.3 environment configuration 2, Linux picture programming 3, OpenCV about the use of cameras three point one   Get camera permissions for virtual machine 3.2 playing video   three point three   record video 3.4 prob ...

1. Introduction to Images The image is mainly composed of one pixel point. Pixel points in a computer range from 0 to 255, and the value represents the brightness of the point. RGB is called the color channel of an image, where R represents the red channel, G represents the green channel, and B represents the blue channel. Grayscale images hav ...

1. Experimental Requirements (1) Experiment 1 Learn and master the compilation and assembly of executable programs. The learning tasks are as follows: 1) Read, understand and learn the materials "Generating static and dynamic libraries with gcc. pdf" and "Generating and using.Pdf for static libraries. a and. so libraries&quot ...

Introduction to the concept of template matching The principle of template matching and convolution is very similar. The template slides from the origin on the original image to calculate the difference between the template and (where the image is covered by the template). There are six calculation methods for this difference in opencv, an ...

1, Color model and conversion 1.1 RGB color model         RGB color space model:           The model is named by using the English initials of three colors, namely red, green and blue. In the RGB model, all colors are the three colors. Through the mixing model of different proportions, if the three c ...

catalogue About image segmentation and several methods: Principle: The whole process of watershed algorithm:   Disadvantages of traditional watershed algorithm: resolvent: Improved watershed algorithm Watershed algorithm in OpenCV Correlation function: Test: About image segmentation and several methods:      ...

Because my knowledge is still shallow, I can't use python deep learning to identify the numbers here, so I completely use opencv to identify the numbers, and then share and record what I saw and thought in the learning process here Problems to be solved This is a number to be recognized. I first extract the ROI of the image, and only the numbe ...