Opencv visual eye Python image processing Xi: Top Hat operation and black hat operation of Opencv image morphological processing

This column mainly introduces that if image processing is carried out through OpenCv python, the function processing prototype of OpenCv Python is understood through the principle. In specific cases, different levels and methods of processing are carried out for different images, so as to achieve a series of operations such as image denoising a ...

Posted by djumaka on Tue, 24 May 2022 06:27:11 +0300

[2D compression] | conditional image run length coding

1, Run length encoding The idea behind this data compression method is: if a data item d appears n times continuously in the input stream, replace n times with a single pair of nd. Then, the continuous occurrence of a data item is called run length N, and this method of data compression is called run length coding or RLE. We first apply ...

Posted by Quevas on Mon, 16 May 2022 22:50:47 +0300

The basics of face detection and eye detection using the Haar Feature-based Cascade Classifiers

Goal In this tutorial, We will learn how the Haar cascade object detection works. We will see the basics of face detection and eye detection using the Haar Feature-based Cascade Classifiers We will use the cv::CascadeClassifier class to detect objects in a video stream. Particularly, we will use the functions: cv::CascadeClassifier::load to l ...

Posted by jimiwa on Mon, 16 May 2022 20:38:05 +0300

Object search, detection and recognition using OpenCV

In this tutorial, we will understand the important concept called "selective search" in object detection. We will also share OpenCV code with C + + and Python. Object detection and object recognition The object recognition algorithm recognizes which objects exist in the image. It takes the whole image as the input and outputs the cl ...

Posted by master82 on Sun, 15 May 2022 11:40:45 +0300

Introduction to OpenCV -- image smoothing technology

About image sampling There are many ways to obtain digital images. Usually, image sampling can be used to digitize continuous images. The collection relationship between sampling points is the grid, and the infinitesimal sampling points between grids correspond to the pixels in the image. Sampling on image transformation is the process of cha ...

Posted by rimelta on Fri, 13 May 2022 03:46:16 +0300

GAMES101 - computer graphics - Assignment 5

1 Overview In this part of the course, we will focus on rendering images using ray tracing. One of the most important operations in ray tracing is to find the intersection of light and object. Once the intersection of the light and the object is found, you can perform shading and return the pixel color. In this assignment, we need to realize tw ...

Posted by dave_c00 on Thu, 12 May 2022 20:50:29 +0300

Ogre shared bones with two bone-driven methods

foreword Recently, Ogre is used in the business to drive virtual character bones based on 3D key points, but two problems are encountered: The bones of the mesh such as the body, head, eyes, clothes, etc. are separated, but the bone structure is the same, and the shared bones need to be set When driving, you can directly modify the bone rota ...

Posted by michealholding on Wed, 11 May 2022 19:47:19 +0300

Python Open3D geometry foundation chapter point cloud operation

Python Open3D geometry Fundamentals (I) point cloud operation Pages referenced in this article: Point cloud — Open3D 0.15.1 documentationFile IO — Open3D 0.15.1 documentation This article mainly introduces the basic usage of point cloud in Open3D: Visual point cloud( Visualize point cloud) How to read and visualize the point cloud: rea ...

Posted by N-Bomb(Nerd) on Fri, 06 May 2022 09:52:40 +0300

Train and evaluate your MLP Mixer network using PyTorch

preface Project address: https://github.com/Fafa-DL/Awesome-Backbones Operation tutorial: https://www.bilibili.com/video/BV1SY411P7Nd Original paper of MLP Mixer: Click me to jump 1. Data set production 1.1 production of label documents Download project code to local This demonstration takes the flower data set as an example, and ...

Posted by rifts on Thu, 05 May 2022 15:43:18 +0300

The first step in Pytorch: the use of transforms

In my previous article: The first step of Pytorch: (1) Use of Dataset class Here, whether we use torchvision.datasets or we customize the Dataset subclass, there is a parameter transforms that is passed in. I didn't explain it in detail in the last article, because this is a big piece of content, so I wrote this article to explain it. transform ...

Posted by jozard on Sun, 01 May 2022 09:13:21 +0300