The author is a junior student. This blog is used while learning. Please forgive me if there are any mistakes. Attach the code at the end of the article. 1. DH parameters The front coordinate system corresponds to the improved version: modified The post coordinate system corresponds to the standard version: standard Because most of […]
Tag: toolbox
Toolbox: [1] Simple automatic deployment
Toolbox: [1] Simple automatic deployment 1. Simply and crudely code directly 2. Cooperate with the server’s shell script Party A does not have an automated deployment platform, and it really does not want to build an automated deployment jekins But now they are all maven projects. One broken project has several jars, and several servers […]
Solve the problem VirtualBox is not installed. Please re-run the Toolbox Installer and try again.
Table of Contents Solve VirtualBox is not installed error Problem Description Solution Method 1: Rerun the Docker Toolbox installer Method 2: Verify VirtualBox installation Method 3: Manually configure the VirtualBox path in conclusion Sample code: Use Python script to automatically check and install VirtualBox and Docker Toolbox What is VirtualBox? VirtualBox Features and Benefits 1. […]
Use of SLAM_TOOLBOX
Usage of SLAM_TOOLBOX Introduction long term mapping position tool Plug-in based optimizer Map merging – Usage example of serialized raw data and pose map dynamic RVIZ plugin Manually modify the map API Subscribed topics Posted topics Published services Configuration file Solver parameters Toolbox parameters matcher parameters Install Introduction Slam Toolbox is a set of tools […]
Write BP from 0, add a momentum factor to the BP neural network, do not use the MATLAB toolbox, purely hand-write matlab code, take BP classification as an example…
This article takes BP classification as an example (it can also be used for prediction) and uses purely handwritten BP neural network. BP neural network with additional momentum factor. When programming, select the Sigmoid function as the activation function, and users can also change it as needed! Taking the classic red wine data classification as […]
yolov8 strongSORT multi-target tracking toolbox BOXMOT
1 Introduction The multi-target tracking MOT project is relatively complete in Github: BOXMOT, provided by Mikel Brostrom. In previous versions, there were yolov5 + deepsort (version v3-v5), yolov8 + strongsort (version v6-v9), until it evolved to v10, the name BOXMOT. BOXMOT provides three object detectors: yolov8, yolo_nas, yolox; supports multiple trackers: BoTSORT, DeepOCSORT, OCSORT, Hybridsort, […]
Use PSINS toolbox to implement quick parameter adjustment of ros/c++ combined navigation
Parameter adjustment is a very boring process. A little bit of online debugging and debugging in the field are very inefficient. Since part of the Matlab code and the C++ code in this system are completely one-to-one, the data during the running process can be recorded through the rosbag package, where the parameters can be […]
How does Echarts display toolbox custom extension method icons and change the icon size and color?
Recently, using Echarts, I discovered a problem with the custom expansion method that cannot display the icon. You can see the text display when hovering the mouse, but the icon cannot be seen. First of all, the first step is to set the icon display in the extension method (you can use online or local […]
AiDB: An AI toolbox that integrates 6 major inference frameworks | Accelerate your model deployment
First published on GiantPandaCV official account Project address: https://github.com/TalkUHulk/ai.deploy.box Web experience: https://www.hulk.show/aidb-webassembly-demo/ PC: https://github.com/TalkUHulk/aidb_qt_demo Android: https://github.com/TalkUHulk/aidb_android_demo Go Server: https://github.com/TalkUHulk/aidb_go_demo Python Server: https://github.com/TalkUHulk/aidb_python_demo Lua: https://github.com/TalkUHulk/aidb_lua_demo Introduction This article introduces an open source AI model deployment toolbox – AiDB. Developed using C++, the project abstracts mainstream deep learning inference frameworks into a unified interface, including ONNXRUNTIME, MNN, […]
BP neural network and wavelet neural network (with matlab code, no toolbox required!)
1. Introduction to neural networks Neural network is a way of simulating the transmission of information by human brain neurons to learn data features. Its characteristics are: it has non-linear mapping capabilities; it does not require precise mathematical models; it is good at learning useful knowledge from input and output data; It is easy to […]