Programmer Think

Jet separation system of Shipborne water gun Project background introduction According to the Russian satellite news agency, a ship flying the Vietnamese flag suddenly broke into the waters of southern China and ignored the expulsion warning of our maritime police ship. In this case, we had to use shipborne water guns to drive away the Vie ...

ok, continue to do a CUDA exercise. Among many methods of laser point cloud target detection, one kind of method is based on the depth image projected from the top view of point cloud from the perspective of BEV. Of course, as far as the overhead projection step is concerned, it can be completed with very simple logic whether in python or c + + ...

Chapter 6 of Volume III trains GoogLeNet on ImageNet GoogLeNet and VGGNet were the leaders in the 2014 ImageNet large-scale visual recognition challenge (ILSVRC). GoogLeNet slightly surpassed VGGNet and ranked first. GoogLeNet also has the additional advantage of being significantly smaller than VGG16 and VGG19. The model size is only 28.12MB, ...

catalogue 1. Attention mechanism 2. Thesis interpretation 2.1 Channel Attention Module 2.2 Spatial attention channel  2.3 CBAM integrated with a ResBlock in ResNet 2.4 experimental results 1. Attention mechanism Generally speaking, the attention mechanism is to hope that the network can automatically learn what needs attention in ...

Starting Jishu community If you are interested in Arm related technologies, you are welcome to join the technology wechat group. preface I've always liked the products of silicon speed home. The design of these boards is really deep in my heart 😍. I was lucky to participate in this silicon speed R329 development board evaluation activity ...

In the first two articles, we have introduced the autoregressive model pixelcnn and how to deal with multidimensional input data. In this article, we will focus on one of the biggest limitations of pixelcnn (i.e. blind spots) and how to improve it to repair it.In the first two articles, we introduced the concept of generating model PixelCNN and ...

Recently, when writing a paper, I encountered the problem of feature graph visualization, so I sorted the methods to solve this problem into notes. 1: Why visualization? It is often said that the essence of CNN is to extract features, but we don't know what features it extracts, which regions really play a role in recognition, or what the net ...

Project background A recent report by the food and Agriculture Organization of the United Nations shows that more than one third of the natural losses of agricultural production each year are caused by agricultural diseases and pests. Many agricultural diseases and pests need to be considered. The traditional methods that rely on laboratory ob ...

Volume III Chapter IV training Alex net on ImageNet In the previous chapter, we discussed ImageNet dataset in detail; Specifically, the directory structure of the dataset and the supporting meta files used provide class labels for each image. We define two sets of files:         1. A configuration file ...

Introduction of preface It must be easy for everyone to encounter such problems when doing yolo target detection. In fact, I don't want to detect the items in a part of the picture. It doesn't matter Just like this corner, I only want to detect the target of the front channel. This corner should be handed over to another camera for recogn ...