Programmer Think

Original link: http://tecdat.cn/?p=6714Original source: Tuo end data tribal official accountIt is common that image classification models must be trained with very little data, which may be encountered in practice if you conduct computer vision in a professional environment. "Few" samples can represent anywhere from hundreds to tens o ...

Catalogue of series articles Tip: you can add the directories of all articles in the series here. You need to add the directories manually TODO: finishing after writing preface Limited cognition, I hope you will forgive me. If you have any problems, I hope to communicate with you and grow together! This paper first gives a brief in ...

catalog: http://aias.top/ Question answering system Question answering system (QA) is an advanced form of information retrieval system. It can answer the questions raised by users in natural language with accurate and concise natural language. The main reason for the rise of its research is people's demand for fast and accurate access to inf ...

In traffic simulation, intersection is the basic unit that we often need to meet. When simulating the traffic flow through the intersection, if you use the previous method, you need to define three traffic flows and move in three different directions. However, in sumo, the simulation of traffic turning at an intersection is realized by jtrouter ...

At present, the updated part includes the basic setting, basic module, relative position coordinate understanding and some code display of swin. swin contains four setting s, tiny, small, base and large. It can be compared to resnet. Swin-b main part network structure BasicLayer Structure display BasicLayer( (blocks): ModuleList ...

1, Introduction stay NLP statistical language model This paper has briefly introduced the relevant knowledge of language model. This paper has described the application scenario of language model and some traditional implementation methods. This paper then demonstrates another implementation method of n-gram - neural network. Is this implement ...

I introduce Anomaly detection (Anomaly detection) is one of the most mature applications of time series data analysis. It is defined as the process of identifying abnormal events or behaviors from normal time series. Effective anomaly detection is widely used in many real-world areas, such as quantitative transactions, network security testing ...

Bayesian theory Continuous and discrete feature processing Naive Bayes classifier Semi naive Bayesian classifier Bayesian theory In our study of probability theory, Bayesian theory is basically implied everywhere. Bayesian theory is simply a method of probability transformation, which transforms a difficult correlation probability into ...

Did you know that OpenCV has a built-in method to perform pedestrian detection? OpenCV comes with a pre trained HOG + linear SVM model that can be used to perform pedestrian detection in images and video streams. Today, we use Opencv's own model to detect pedestrians in the video stream. Just open a new file and name it detect Py, and then ad ...

1, Background modeling First, what belongs to the background? It's easy for us to judge which part of a picture is the background subjectively, but the computer can't identify which part is the background, so we have to find a way to tell the computer which part is the background. 1. Frame difference method Because the target in the sc ...