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Novice beginners hope to take notes to record what they have learned. They also hope to help those who are also beginners. They also hope that the big guys can help correct mistakes ~ infringement legislation and deletion. catalogue 1, Principle analysis 2, Code analysis 1. Main part - load_mosaic 2,load_image function 3,random_perspectiv ...

Basic concepts of decision tree Decision tree is a tree. The leaf node corresponds to the decision result, and each other node corresponds to an attribute test;The sample set contained in each node is divided into sub nodes according to the results of attribute test;The root node contains the complete set of samples, and the path from the roo ...

In the neural network optimization algorithm, the most commonly used method is the back propagation algorithm, and its work flow is as follows: As shown in the figure, the back propagation algorithm implements an iterative process. At the beginning of each iteration, a part of training data is selected, which is called a batch. Then, the ...

Feather low is a 3D scan based image that I want to share with you today. The article will divide and explain the whole code. After reading it completely, I believe you will gain something. Welcome to "Yufeng codeword" catalogue 1. Project introduction 2. API preparation 3. Data set preparation 3.1 downloading data 3.2 data p ...

Learning latent variables using self encoder Because there are many redundancies in the high-dimensional input space, it can be compressed into some low-dimensional variables. The self encoder was first introduced by Geoffrey Hinton et al. In the 1980s. Similar to the technology used to reduce the input dimension in traditional machine lea ...

1. Introduction to Random sample consensus (RANSAC) theory Ordinary LS is conservative: how to achieve the best under the existing data. It is to consider from the perspective of minimizing the overall error and try not to offend anyone. RANSAC is a reformist: first, assume that the data has some characteristics (purpose), and appropriately g ...

Author: Yan Yongqiang, algorithm engineer, Datawhale memberIn this paper, through the self built gesture data set, we use YOLOv5s detection, then train squeezenet to predict the key points of the hand through the open source data set, and finally judge the specific gesture through the angle algorithm between the fingers and display it. The four ...

Self reference Li Mu read the paper and pytorch code I don't understand residual networkPosition-wiseLayer normEncoder attention Parameter setting ## dimension d_model = 512 # Dimensions of sub layers, embedding layers and outputs (an addition operation to make use of residual connection) d_inner_hid = 2048 # Dimension of Feed Forward(MLP) ...

1. motivation 1. Aiming at the problem of how to extract the appropriate features of the image, this paper proposes a convolution branch of multiple branches, each branch adopts different receptive fields, and decomposes the image into different receptive fields 2. Aiming at how to find similar patch es for missing regions, this paper propose ...

reference resources Training image classifier introduce The image classification model has millions of parameters. Training from scratch requires a lot of labeled training data and a lot of computing power. Transfer learning is a skill that greatly simplifies the process by adopting a model that has been trained on related tasks and reusi ...