Click on the above “Beginner Learning Vision”, select to add Star or “Top” Valuable content delivered promptly This article is adapted from | Machine Learning Laboratory Today I am very happy to share an article about OpenCV, focusing on the following questions: 1. How to deploy OpenCV. 2. What modules does OpenCV have and what … Read more
While sharing my learning experiences, please allow me to introduce myself first. I have been studying computer vision for nearly two years and am currently a first-year master’s student with a research focus on visual SLAM. In the development of the artificial intelligence industry, the important position of computer vision has long been established. Like … Read more
Click the above“Beginner Learning Vision” to choose to add “star” or “pin” Valuable content delivered promptly From | Zhihu Author | Mars Girl Link | https://zhuanlan.zhihu.com/p/146453159 Recently, due to work needs, I had to deploy a PyTorch model to a C++ platform. The basic process mainly refers to the official teaching examples, during which I … Read more
Click on the above“Beginner’s Guide to Vision”, select to add “Bookmark” or “Pin” Heavyweight content delivered at the first moment This article is adapted from: Deep Learning Matters Background The dynamic graph framework of PyTorch is primarily implemented in the code under torch/csrc/autograd. This directory defines three main base classes: Variable, Function, Engine, which together … Read more
Source: Ezyang Blog Information Network Engineering Research Center This article is approximately 9000 words long and is recommended for a reading time of over 15 minutes. This article is a long version of a talk about the internal mechanisms of PyTorch. Edward Z. Yang, a PhD student at Stanford University and a research engineer at … Read more
Click the "Xiao Bai Learns Vision" above, select to "star" or "top" Heavy content delivered immediately Author丨Civ@Zhihu (Authorized) Source丨https://www.zhihu.com/question/66532235/answer/2782357337 Editor丨Jishi Platform Jishi Guide This article uses the C++ inference framework ncnn as an example to introduce the general deployment process. The approach is similar for other C++ inference frameworks; the only learning cost is the … Read more
Click on the above “Beginner Learning Vision” to choose to add Star or “Pin” Important content delivered first Many articles on convolutional neural networks explain what CNNs are and their uses, while this article will implement a CNN using C++ and a library called mlpack to classify the MNIST dataset. You may wonder why C++ … Read more
Madio.net Mathematics China Reprinted from:Author丨Mountain and Water You and Me @ Zhihu Source丨https://zhuanlan.zhihu.com/p/468100301 Editor丨Extreme City Platform Currently, building a Convolutional Neural Network (CNN) is generally done directly using deep learning frameworks such as Pytorch or Tensorflow, which is quite simple. However, if you’re writing the backpropagation process from scratch, it is much more complicated than … Read more
The recent launch of mini-programs and apps related to garbage classification has once again brought image recognition into the spotlight. In China, image recognition technology ranks among the top in the world. Prior to this, many technologies have been applied to image recognition, such as Alipay’s facial recognition payment, facial recognition entry to hotels, and … Read more
Hello everyone! Today I want to introduce you to a super useful C++ library – nanoflann! It is an efficient library for K-nearest neighbor search, especially suitable for handling large-scale datasets. Whether you are working on machine learning, computer vision, or robotics, this library can help you quickly find the nearest neighbor points and improve … Read more