Category:AI
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Introduction to javacv
Understand the history and development background of javacv JavaCV is an open source Java framework that provides Java-based interfaces for accessing various computer vision libraries and toolkits such as OpenCV, FFmpeg, etc. JavaCV is designed to provide Java developers with fast, simple and reliable image and video processing capabilities. The history of JavaCV dates back […]
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YOLOv8 trains its own dataset
I. Preparing the Deep Learning Environment My laptop system is: Windows 10 The latest version of the YOLO series, YOLOv8, has been released, for details you can refer to theThe blog I wrote earlier, currently ultralytics has released thePartial code and descriptionTheDownload YOLOv8 code on github, the code folder will contain the requirements.txt file, which […]
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Big Data Knowledge Graph – Knowledge Graph + flask based Big Data (KBQA) NLP Medical Knowledge Quiz System
Big Data Knowledge Graph – Knowledge Graph + flask based big data NLP medical knowledge Q&A system (the most detailed explanation and source code on the net / recommended collection) I. Project overview Second, the basic process of medical knowledge Q&A system that realizes knowledge graphs III. Version numbers used for project tools IV. Installation […]
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Machine learning: classifying bank customers based on Kmeans clustering algorithm
Article Catalog Machine learning: classifying bank customers based on Kmeans clustering algorithm 1, Kmeans principle 2. Experimental environment 3、Kmeans simple code implementation 3.1 Constructed data 3.2 Visualization 3.3 Clustering into binary classification 3.4 Obtaining results 3.5 Visualization of results 3.6 Clustering into 3 classes 3.7 Visualization of results 4、Kmeans case practice 4.1 Case background 4.2 […]
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Machine Learning for Localized Path Planning
This blog series includes six columns, namely: Overview of Autonomous Driving Technology, Fundamentals of Autonomous Vehicle Platform Technology, Autonomous Vehicle Positioning Technology, Autonomous Vehicle Environment Sensing, Autonomous Vehicle Decision Making and Control, and Autonomous Vehicle System Design and Applications. This column is about notes from the book Decision Making and Control of Self-Driving Vehicles. 2. […]
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Particle Swarm Algorithm (PSO) Optimized BP Neural Network Predictive Regression – with code
catalogs Abstracts: 1.BP model neural network model 2. Particle Swarm Optimization Algorithm (PSO) pseudocode implementation 3. Particle swarm algorithm combined with BP neural network (PSO-BP) 4. Results of program operation 5. Matlab code for this paper Abstracts: BP neural network is a common multi-layer feed-forward neural network, this article through the particle swarm algorithm (PSO) […]
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Parameter description of the speech recognition model whisper
I. Introduction to whisper: Whisper is a general purpose speech recognition model. It is trained on a large dataset of various audios and is also a multitasking model that performs multilingual speech recognition, speech translation and language recognition. II. Parameters of whisper 1、-h, –help Viewing the parameters of whisper 2、–model {tiny.en,tiny,base.en,base,small.en,small,medium.en,medium,large-v1,large-v2,large} Select the model to […]
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Dynamics model-based MPC trajectory tracking algorithm for unmanned vehicles and carsim+matlab co-simulation study notes
catalogs 1 Model derivation and algorithm analysis 1.1 Model derivation 1.1.1 Vehicle dynamics model 1.1.2 Linear time-varying prediction model derivation 1.2 Model Predictive Controller Design 1.2.1 Objective function design 1.2.2 Binding design 2 Code Parsing 2.1 Template framework 2.1.1 S-Function 2.1.2 mdlInitializeSizes function 2.1.3 mdlUpdates() function 2.1.4 mdlOutputs() function 2.2 MPC Algorithm Body Jacobi matrix a […]
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NLP machine translation panorama: from the basic principles to the full analysis of technical practice
catalogs I. Introduction to Machine Translation1. What is Machine Translation (MT)?2. Source and target languages3. Translation models4. Importance of context II. Rule-Based Machine Translation (RBMT)1. Rule-making2. Dictionaries and vocabulary selection3. Constraints and challenges4. PyTorch implementation III. Statistical Machine Translation (SMT)1. Data-driven2. Phrase alignment3. Scoring and selection4. PyTorch implementation IV. Neural network-based machine translation1. Encoder-Decoder structure2. […]
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[Hyperspectral images: reconstruction by spatial-spectral]
Progressive Spatial–Spectral Joint Network for Hyperspectral Image Reconstruction (Hyperspectral image reconstruction with progressive joint spatial-spectral networks) (☆☆☆☆☆☆☆ learning to build HS from MS ☆☆☆☆☆☆☆) Hyperspectral (HS) images are widely used to identify and characterize targets in scenes of interest with high acquisition cost and low spatial resolution. Acquiring high spatial resolution HS images (HSI) by […]