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I. application scenario In x86 (Ubuntu 18.04) cpu, in pytorch1.0 10 framework, using the detectron2 model base model to train their own data sets, and carry out target detection reasoning. II. Environment configuration My environment is: pytorch==1.10+cpu torchvision==0.11.2+cpu detectron2==0.6 opencv==4.5.5 1. Basic environment ...

1. Foreword At present, the common methods of point cloud detection are 1. The point cloud is divided into voxels for detection. Typical models include VoxelNet, SECOND, etc; However, Dr. Shi, the author of this paper, proposed that this method will cause quantitative information loss. 2. Project the point cloud to the front view or aerial v ...

preface I just got it in the pit. I just got it again. Step 1 of CV: start from environment construction! 1. Environmental preparation (1) Install Visual Studio You need to use C + + to install the compilation library, so you need to install Microsoft Visual Studio. The most common version is 2019. The latest 2022 version should also b ...

I believe that students who study algorithms will learn yoov1 algorithm when they are just getting started with target detection. After all, it is the beginning of YOLO algorithm. Of course, in order to take notes, they will do it directly on this blog for your reference and study. Next, I will share the knowledge required for the implementatio ...

This article will take you to build a car detector, using the algorithm of PyTorch version of YOLOV3. We will not explain the details of the algorithm, but focus on how to implement our own car detector, mainly including data download, data cleaning, data set production, training and detection (image detection, video detection). Even if you don ...

Conversion between VOC dataset (xml format) and COCO dataset (json format) Let's first look at the directory structure of voc and coco datasets: Take the VOC2012 dataset as an example, there are five folders below: The Annotations folder is the XML file corresponding to the image. For example, "2007_000027.xml" stores the informatio ...

Pytorch: Target Detection-Feature Pyramid-FPN Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology Pytorch Tutorial Column Link This tutorial is not commercial and is only for learning and reference exchange. If you need to reproduce it, ...

1. Problem description This paper realizes the real-time detection of the tennis ball in the image by reading the image taken by the camera, calculating its distance and determining its orientation. The core problem is how to detect tennis from the picture taken by the camera and eliminate interference items. In addition, in order to apply thi ...

Learning objectives: Convert the data set into Mask, coco annotation and other different formats 1, The coco annotation and Mask of a single instance are converted to each other: There are many ways of mask conversion. One mask is generated for each instance or one mask is generated for each picture. For beginners, it is better to use the ...

Introduction to machine learning for programmers (XI) - object recognition YOLO - recognition of face position and whether to wear a mask This article will introduce the most popular object recognition model YOLO. YOLO is characterized by fast recognition speed 🤗， However, the accuracy is only a little worse than that of fast RCNN (after YOL ...