Category:AVI

  • SENet code replication + annotation (PyTorch)

    Time:2024-6-13

    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 […]

  • opencv – color recognition

    Time:2024-5-14

    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 […]

  • Deep Learning – Convolutional Neural Network (CNN) Theory

    Time:2024-4-26

    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 […]

  • Computer Vision – Getting Started with OpenCV Explained

    Time:2024-4-9

    🎉Author’s Profile:I am a graduate student in computer science, currently in my second year of study. Main research interests are in the direction of artificial intelligence and swarm intelligence algorithms. Currently familiar with python web crawler, machine learning, computer vision (OpenCV), swarm intelligence algorithms currently learning about deep learning. 📃Personal homepage:Fish that eats cats python […]

  • matlab image processing

    Time:2024-3-15

    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 […]

  • Opencv Image Processing

    Time:2023-11-13

    Article Catalog Blogger’s Boutique Column NavigationNote: The following source code can be run, different projects involved in the function are analyzed in detail.11、Image project practice(i) Bank card number identification — sort_contours(), resize()(ii) document scanning OCR recognition — cv2.getPerspectiveTransform() + cv2.warpPerspective(), np.argmin(), np.argmax(), np.diff()detectAndDescribe(), matchKeypoints(), cv2.findHomography(), cv2.warpPerspective(), drawMatches()(iv) Parking lot space detection (Keras-based CNN classification) — […]

  • YOLOv5 – Explanation of the project directory structure

    Time:2023-10-27

    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 […]

  • OpenCV meets deep learning

    Time:2023-10-18

    OpenCV in action (33) – OpenCV meets deep learning 0. Preface 1. Deep learning and convolutional neural networks 2. Face detection using deep learning 2.1 Introduction to SSDs 2.2 Performing Face Detection Using SSDs 3. Complete code wrap-up 0. Preface Deep learning is a subfield of machine learning, based on traditional neural networks and convolutional […]