How to install opencv with Python3.5 in Windows 10

Use the pip command to easily install OpenCV tutorial, which requires specific code examples. OpenCV (OpenSource Computer Vision Library) is an open source computer vision library. It contains a large number of computer vision algorithms and functions, which can help developers quickly build image and video processing related applications. Before using OpenCV, we need to install it first. Fortunately, Python provides a powerful tool pip to manage third-party libraries

1. Theoretical basis of image pyramid Image pyramid is a kind of multi-scale expression of images. It is an effective but conceptually simple structure to explain images at multiple resolutions. An image pyramid is a collection of images with progressively lower resolutions arranged in a pyramid shape and derived from the same original image. It is obtained through ladder down sampling, and the sampling is not stopped until a certain termination condition is reached. We compare images layer by layer to a pyramid. The higher the level, the smaller the image and the lower the resolution. So why do we make an image pyramid? This is because changing the size of a pixel sometimes does not change its characteristics. For example, if you show you a picture of 10 million pixels, you can know that there is a person in it. If you show you a picture of 100,000 pixels, you can also know that there is a person in it. But against the plan

OpenCV is an open source library for computer vision and image processing, which is widely used in machine learning, image recognition, video processing and other fields. When developing using OpenCV, in order to better debug and run programs, many developers choose to use PyCharm, a powerful Python integrated development environment. This article will provide PyCharm users with an installation tutorial for OpenCV, with specific code examples. Step One: Install Python First, make sure you have Python installed

1. Project effect 2. Core process 1. openCV reads the video stream and draws a rectangle on each frame of the picture. 2. Use mediapipe to obtain the coordinates of finger key points. 3. Based on the coordinate position of the finger and the coordinate position of the rectangle, determine whether the finger point is on the rectangle. If it is, the rectangle will follow the finger movement. 3. Code process environment preparation: python:3.8.8opencv:4.2.0.32mediapipe:0.8.10.1 Note: 1. If the opencv version is too high or too low, there may be some problems such as the camera not being able to open, crashing, etc. The python version affects opencv Optional versions. 2. pipinstallmediapipe may cause op

The org.opencv.imgproc package of the JavaOpenCV library contains a class called Imgproc that provides various methods to process input images. It provides a set of methods for drawing geometric shapes on images. To draw an arrowed line, you need to call the arrowedLine() method of this class. The method accepts the following parameters: a Mat object representing the image on which the line is to be drawn. A Point object representing two points between lines. drawn. A Scalar object representing the line color. (BGR) An integer representing the thickness of the line (default: 1). Example importorg.opencv.core.Core;importo

How to implement video processing using PHP and OpenCV library? Abstract: Video processing has become an important technology in modern scientific and technological applications. This article will introduce how to use the PHP programming language combined with the OpenCV library to implement some basic video processing functions, and attach corresponding code examples. Keywords: PHP, OpenCV, video processing, code examples Introduction: With the development of the Internet and the popularity of smartphones, video content has become an indispensable part of people's lives. However, to achieve video editing and

We need to use the search box when using the win10 system, but many users are asking how to reduce the win10 search box? Users can directly find the display search icon under the search extension icon to perform operations. Let this site carefully introduce to users how to make the win10 search box smaller. How to make the search box smaller in win10 Method 1. When you turn on the computer, you can see the search box in the lower left corner of the computer, as shown in the picture. 2. Then you can right-click on the search box, a menu option will appear next to it, and click the [Search] extension icon with the mouse. 3. At this time, you can see that in the sub-option, click the [Show search icon] option.

Image segmentation and extraction: Foreground objects are segmented or extracted as target images in images. The background itself is not interested. The watershed algorithm and the GrabCut algorithm segment and extract the image. Use watershed algorithm to achieve image segmentation and extraction. The watershed algorithm vividly compares images to geographical terrain surfaces to achieve image segmentation. This algorithm is very effective. Algorithm Principle Any grayscale image can be regarded as a geographical terrain surface. Areas with high grayscale values ​​can be seen as mountain peaks, and areas with low grayscale values ​​can be seen as valleys. The image on the left is the original image, and the image on the right is its corresponding "topographic surface". This process separates the image into two distinct sets: catchment basins and watershed lines. The dam we constructed is the watershed line, that is, the original image