Tag：artificial intelligence (ai)
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SENet code replication + annotation (PyTorch)
The SENet module is often used for channel attention in convolutional networks to enhance the network model’s ability to select in channel weights and thus lift points. About the principle and specific details of SENet, we have already described in detail in the previous article:Ultra-detailed Explanation of Classical Neural Network Papers (VII) – SENet (Attention […]
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Stable Diffusion model principle and realization process (with commonly used model website, download method)
catalogs preamble What is the Stable Diffusion model? Stable Diffusion works: Application Scenarios for Stable Diffusion Modeling Stable Diffusion free use site stability.ai: Local deployment of Stable Diffusion methods: StableDiffusion Chinese Blogger Introduction: Specializing in front and back end, machine learning, artificial intelligence applications development of quality creators, adhering to the spirit of the Internet […]
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Simple use of Segment Anything (SAM) demos
If you think the article is okay, can you give it a like? Your likes are what keep me updated! catalogs SAM demo source code usage A case study of HCI ui usage in conjunction with SAM: Recently newly discovered, you can use this model, a simple UI use, the effect is as follows: Labelimg […]
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Image Recognition and Classification: A Practical Guide
Image recognition and classification is one of the core tasks in the field of computer vision. It involves recognizing objects, scenes, or concepts in an image and assigning them to predefined categories. In this article, we will introduce you to the basic concepts of image recognition and classification, and demonstrate how to implement image recognition […]
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opencv – color recognition
color recognition Article Catalog color recognitionpreambleI. What is color recognition?Second, image processing in the conversion of colorIII. HSV related functions and application flowStep by StepInstance operation summarize preamble This time I have been getting problems about machine vision recognition, in the competition used a lot of visual algorithms about color recognition, I feel that before […]
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[Python natural language processing + tkinter graphical interface] to achieve intelligent medical customer service Q&A robot combat (with source code, dataset, demo ultra-detailed)
If you need source code and datasets, please like and follow the collection and leave a private message in the comment section~~~. I. Introduction to Q&A Intelligent Customer Service QA Question and Answer is an abbreviation of Question-and-Answer, which retrieves answers based on the questions posed by the user and answers the user in natural […]
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Speech coding techniques, AMR, AMR-NB, AMR-WB, EVS summary
I’ve recently become a bit interested in real-time speech coding technology, so I learned a bit about it. At first I heard about AMR-NB narrowband coding, and searched only to find more coding techniques, which are summarized here for future viewing. I. What is AMR, AMR-WB Full name Adaptive Multi-Rate and Adaptive Multi-Rate Wideband, mainly […]
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Python’s method for importing torch packages
Article Catalog preambleI. What is Pythorch?Second, how to download and import the torch package?Third, pip package manager download failure torch, the solution and the official website to download teaching1. Download failure, solution2.Official website download Fourth, why there will be the official website to download and local direct download, torch two ways?summarize preamble With the continuous […]
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ROS+Gazebo Reinforcement Learning from Virtual Training to Live Vehicle Deployment Full Process Analysis
Also learn ros this thing for a long time, but in the ROS reinforcement learning and ultimately deployed to the real car this process has been all kinds of problems, the laboratory is not much relevant accumulation, their own one person to engage in a very painful. This time when I read the paper, I […]
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matlab image processing
1. Reading of pictures (below left) I=imread(‘Cute Cat.jpg’);%image read, here ” within the ‘path\name’, such as: ‘E:\examples\cute cat.jpg’ figure,imshow(I);%image display title(‘Original image’) 2. Convert to grayscale image (top right) I_gray=rgb2gray(I); figure,imshow(I_gray); title(‘Grayscale image’) One way to see if it is a grayscale image: disp(‘Output string’) % Outputs the string; ndims()% output matrix dimension, here […]