Programmer Think

Introduction: For the enhancement of seven segment nixie tube pictures, LeNet is used to establish the recognition model of the data set. Based on this model, it will be used to recognize the numbers in actual pictures in the future. Key words: LCD, LENET   § 01 seven segment digital identification 1.1 data collection pr ...

preface What is GPU? GPU (Graphic Process Units). It is a single-chip processor, which is mainly used to manage and improve the performance of video and graphics. GPU accelerated computing refers to the use of graphics processor (GPU) and CPU to speed up the running speed of applications.Why use GPU? Deep learning involves many vector or multi ...

Based on skywalking Java agent version 8.8.0 Today, we want to analyze the content related to SkyWalking Java Agent configuration. Most of the frameworks we contact need some configuration files, such as application. Com in SpringBoot yml. The first thing SkyWalking Java Agent does in the premain method is to use the snifferconfinitializer i ...

[paper reproduction competition] ENCNet: Context Encoding for Semantic Segmentation In this paper, the author introduces the Context Encoding Module to improve the effect of semantic segmentation by using global context information in the task of semantic segmentation. The requirement of this replay is that the miou on the Cityscapes verificat ...

Original link: http://tecdat.cn/?p=17526Original source: Tuo end data tribal official accountThis paper presents an algorithm, which can switch between mean regression and trend following strategy according to market volatility. Two models are studied: one uses historical volatility and the other uses Garch (1,1) volatility prediction. The mean ...

There are two scripts for testing in the source code: test Py and evaluate_gpu.py . Where, test Py load through the script train Py trained model to extract the features of query and gallery images; This article describes the script test Py. 1. Load model and data Firstly, the trained model needs to be loaded. Here, the pedestrian re recogni ...

Open source projects: Project address: https://github.com/Microsoft/AutonomousDrivingCookbook Localization project: https://gitee.com/zhoushimin123/autonomous-driving-cookbook Step 1 - model training Now that we have some sense of the data being processed, we can start designing our model. In this notebook, we will define the network architec ...

Project link: Changeable ice! Makeup migration based on paddegan 1 project background Recently, I read an article about using ai to make up for ice. The article uses SCGAN architecture, but the effect of directly using SCGN to extract makeup is not very good. The solution of the article is to cut the picture out of the face, then segme ...

preface [personal learning notes, please correct any errors] YOLO-V5 code warehouse address: https://github.com/ultralytics/yolov5 1, Conv module Before introducing each module, you need to introduce the most basic Conv module in YOLOV5. class Conv(nn.Module): def __init__(self, c1, c2, k=1, s=1, p=None, g=1, act=True): # ch_i ...

I modified the data processing method and evaluation based on Jay2coomzz_ As a beginner, if there is anything wrong with the model () method, please criticize and correct it. The original link is as follows: https://blog.csdn.net/weixin_38471579/article/details/102631018 Data sets and source links will be placed in the comments area 1 da ...