Teach you step by step how to convert color images into grayscale images using Matlab RGB = imread('F:/1/tuxiang.jpg');%Read the image into the workspace Y = rgb2gray(RGB);% Grayscale the image imshow(Y)% displays grayscale image This is the most basic code to convert a color image into a grayscale image. The code is explained in detail below: ‘RGB’ is set by yourself and can be replac... »
YOLO series—YOLOV7 algorithm (1): Use custom data sets to run through the YOLOV7 algorithm Isn’t this embarrassing? . . Just after I understood the YOLO V6 algorithm from Perfect Group, V7 came out. . . And the most important thing is that V7 is also endorsed by the author of V4. Fortunately, both V6 and V7 are modified codes based on YOLO V5, so the code reads more smoothly. The YOLOV7 algo... »
Table of contents HowNet paper reading notesKeywordskeywordsCurrent situation summary fragmented knowledge points3D detection algorithm classificationThere are three categories according to the data types used:Classification according to different feature expression methods of point clouds [1]:Other classification methods[1]:According to sensor classification [2]:Classification according to usage ... »
1. Basic calling format of fspecial() function By typing in the command line window of matlab:help fspecial, you can view the following instructions: fspecial - Create predefined 2D filters This MATLAB function creates a two-dimensional filter h of the specified type. Some filter types have optional additional parameters number, as shown in the following syntax. fspecial returns h in the form of a... »
🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 Detailed explanation of YOLOv5 network structure 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 🚀 Preface Although I have used YOLOv5 to run several data sets before the winter vacation, I have not delved into its network structure and characteristics. For more than a week after school started, I was full of food and had nothing to do. So I set a flag for myself ... »
1. When writing a literature review, Mr. Li found that many documents exist in different versions, and the page numbers and even volume divisions between different versions are inconsistent. Among the following options, the correct way for Mr. Li to deal with it is ()Clearly indicate the source of quoted text or ideasCover up and recite as originalQuotes marked as direct quotesQuote the Chinese ve... »
Intro This article is the author’s staged summary of the DeepSORT algorithm learning. It is based on all the open source learning materials that the author has come into contact with, supplemented by personal understanding and rearranged. It strives to be clear so that non-professional readers can quickly have a thorough understanding of the principles of the algorithm. understanding to faci... »
1 Introduction First of all, welcome everyone to my blog. Because I have gone through too many pitfalls in the environment configuration of ORB_SLAM2, in order to prevent fellow researchers from falling into the trap, I decided to give a nanny-level tutorial, hahaha. 2. Library installation If you have installed the library before and the ORB_SLAM compilation failed, please uninstall the library r... »
CubeSLAM: Monocular 3D Object SLAM paper notes Summary This paper proposes a method for single-image 3D cuboid target detection and multi-viewpoint SLAM in static and dynamic environments, and proves that these two parts promote each other. First, for single-image object detection, we generate high-quality cuboid contours through 2D bounding box and vanishing point sampling. Solutions are further ... »
yolov7 trains its own data set and deploys it The first step is to prepare the data setThe second step train.py loads your own data set and trainsThe third step is to make the trained pt file into an interface callThe first step is to prepare the data setThe second step train.py loads your own data set and trainsThe third step is to make the trained pt file into an interface call The first step is... »
