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Overview and common data sets 0. General Have basic knowledge of classification network Target detection is divided into two categories: one stage and two stage 1.Two-Stage: Faster R-CNN 1) generate candidate boxes (rpns) through special modules, find prospects and adjust bounding boxes (based on anchors) 2) further classify and adjust the ...

Generally, in the process of model reasoning on the end side, the quantized data is used to participate in the calculation of each layer, rather than the original float data type. The usual quantized data types include UINT8/INT8/INT16, etc. due to the difference of data representation range, the accuracy loss must be involved in the quantizati ...

Reference link: Mathematical Principles of PCA Reference link: Understanding PCA and SVD with numpy Preface It is well known that the complexity of many machine learning algorithms is closely related to the dimensionality of the data, even exponentially. It is not uncommon to process tens of thousands or even hundreds of thousands of dime ...

1. Project introduction Q-learning: Q-learning was first proposed in 1989 and was initially based on tabular form. DQN: DQN (deep Q network) was proposed only in 2013. It is a Q-learning algorithm based on deep neural network, and it is also the most commonly used Q-learning algorithm at present. Objectives of the project: The DQN algorithm ...

This experiment is based on the CNN network built by ourselves to classify eye state. Originally, it was intended to migrate learning to classify using VGG16 network. However, the effect of the experiment is very poor and the speed is very slow. It should be the blogger's own problem. However, the model of CNN network built by ourselves is very ...

Transformer course business dialogue robot rasa 3 X run command learning rasa data migraterasa data validaterasa exportrasa evaluate markersrasa x Rasa official website https://rasa.com/ rasa data migrate A unique data file whose domain format has changed between 2.0 and 3.0. You can automatically migrate 2.0 domains to 3.0 format. You c ...

This paper is a continuation of the introduction to self driving cars final project-w7_pid to realize vehicle lateral and longitudinal control, which aims to change the vehicle lateral controller to Pure pursuit mode. (it is the last project assignment in the first part of Coursera automatic driving series courses) Introduction to Pure Pur ...

0x00 overview of ideas The overall logic of the program is to recognize your face and save count (counter) pictures of your face, then exit, or press q while running. There are two important cycles 1. Call camera loop continuously ----- while true 2. Process the function of each face recognized by the recognition function ----- for xywh i ...

Solving athletes' matching problem by backtracking method abstract Aiming at the problem of the best matching of athletes, this paper uses the backtracking method to find the optimal solution of competition advantage score, and studies the best matching method of male and female athletes, so as to maximize the sum of competition advantages of ...

In many scenarios, we need to decompose the signal to facilitate our next operation. The commonly used decomposition methods can include EMD family, such as EMD, EEMD, FEEMD, CEEMDAN, ICEEMDAN, etc. of course, there are also wavelet decomposition and empirical wavelet decomposition. In short, there are many decomposition methods. Different deco ...