Tag:computer vision
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Wise Target Detection 66 – Pytorch builds YoloV8 target detection platform
Wise Target Detection 66 – Pytorch builds YoloV8 target detection platform Preface to the studySource Code DownloadYoloV8 Improvements (incomplete)YoloV8 Implementation IdeasI. Overall structural analysisII. Network structure analysis1. Introduction to Backbone, the backbone network2. construct FPN feature pyramid for enhanced feature extraction3. Use Yolo Head to obtain predicted results III. Decoding of forecast results1. Getting the […]
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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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[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 […]
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Python based license plate recognition system implementation
This paper will take the direction of Python based license plate recognition system implementation, introduce the basic principles of license plate recognition technology, common algorithms and methods, and explain in detail how to use Python language to implement a complete license plate recognition system. catalogs introductoryApplication Scenarios of License Plate Recognition TechnologyAdvantages of Python in […]
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YOLOv5 – Explanation of the project directory structure
preamble The previous section briefly describes the network structure and innovations of YOLOv5 (the drive-through:[YOLO Series] YOLOv5 Super Detailed Explanation (Network Detailed Explanation)) In the next step we will go into a deeper study of YOLOv5, starting with the source code interpretation. Because I am a pure white, just started to download the source code […]
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Stable Diffusion tutorial
10,000 Words: Stable Diffusion Nanny Tutorials 2022 is definitely the year of the AI explosion, preceded by thestability.ai expand one’s financial resourcesStable Diffusion model, followed byOpen AI postChatGPTThe two are milestone node event, its importance is no less than when Apple released the iPhone, Google launched Android. they make AI is no longer a remote […]
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Theory of Convolutional Neural Networks (CNNs)
Study period: 2022.04.10~2022.04.12 Article Catalog 3. Convolutional neural network CNN3.1 Concept of Convolutional Neural Networks3.1.1 What is a CNN?3.1.2 Why use CNNs?3.1.3 Principles of human vision 3.2 Fundamentals of CNN3.2.1 Main structures3.2.2 Convolution layer1. Convolutional operations2. Three modes of convolution3. The nature of convolution 3.2.3 Pooling layer3.2.4 Activation layer3.2.5 Rasterization3.2.6 Full connectivity layer3.2.7 Reverse propagation3.2.8 […]
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Anchor based and Anchor free
Difference between anchor-free and anchor-based Anchor-free and anchor-based are two different target detection methods, the difference being whether or not a predefined anchor box is used to match a real target box. Anchor-based methods use anchor boxes of different sizes and shapes to regress and categorize targets, such as faster rcnn, retinanet, and yolo, etc. […]