Python opencv learning notes: judging whether it is foggy and image visibility measurement

introduction This article is a question about visibility in foggy days recently. After consulting a lot of data, I recorded the thinking process, summarized it and classified it into notes. The main reference material is Huawei cup 2020 E thesis, which has been improved and extended in combination with its own actual situation. The literature ...

Posted by TheMayhem on Sun, 03 Apr 2022 07:31:21 +0300

Key annotation and key point thermal map one click generation tool

Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it preface According to the previous work plan, the camera is used to collect data and train the neural network to predict the feature points of the object. The current idea is to use FCN or ...

Posted by whoisKeel on Sun, 03 Apr 2022 04:14:47 +0300

Learning machine learning - practice training model (image segmentation, cell image)

Image segmentation - cell image Based on Pytorch, UNET model Model learning comes from: (thank you for such a detailed article) https://github.com/Jack-Cherish/Deep-Learning Other websites: (1) pytorch novice tutorial https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html (2) UNET paper https://arxiv.org/pdf/1505.04597.pdf (becau ...

Posted by globetrottingmike on Sun, 03 Apr 2022 03:15:30 +0300

Weekly report from March 28, 2022 to April 3, 2022

abstract The first part of the paper is spatio-temporal sequence meteorological prediction, which involves deep problems such as sphere manifold, geometric space mapping and so on. Based on some prior knowledge, it makes data mining and other analysis for environmental data. The second part studies the basic knowledge of GAN. Reading lite ...

Posted by yogadt on Sat, 02 Apr 2022 18:44:19 +0300

Practical cases of in-depth learning: two categories of film reviews

The first practical case of in-depth learning: classification of film reviews Official account: machine learning grocery storeAuthor: PeterEditor: Peter Hello, I'm Peter~ This is Machine Learning Grocery~ The case of this paper explains an important problem in machine learning: classification. This paper is a practical case in Python ...

Posted by Minase on Sat, 02 Apr 2022 18:13:36 +0300

Implementation scheme of intelligent risk control decision engine system

1. I ntroduction to risk control decision The previous article realized the rule set and decision flow in the decision engine, and introduced the model engine and machine learning modeling. See the previous article for details: Rule Engine Implementation             Decision flow implementation              Model engine implementation In ...

Posted by zTagged on Sat, 02 Apr 2022 17:57:52 +0300

02 multivariate outlier detection

Step 0: clarify the task Multivariate outlier detection (multivariate, outlier detection)Visual qualitative analysisQuantitative analysis and outlier handling After completing all the work, we carried out backtracking and optimized the previous step: I Define a general: Specify the direction of the task (supervised / unsupervised / semi sup ...

Posted by norpel on Sat, 02 Apr 2022 09:13:50 +0300

Integrated learning manual

Punch in task This punch in learning understands the three main tasks of machine learning, corresponding to the introduction of CH2 in the open source learning package, 1.1, 1.2 and 1.3 1. Introduction What is machine learning, Machine learning can be regarded as a method of understanding data, discovering the laws in the data, analyzing ...

Posted by Brendan Nolan on Sat, 02 Apr 2022 06:01:42 +0300

[programming practice] select items

Topic source: Niuke, Alibaba programming question (2 stars), question 2 Title Description Problem solution Method 1: it's a crazy idea I think that the essence is to realize the addition of n-ary, but I think it is difficult to realize, so I use the binary conversion. Idea: take n=8, m=5 as an example. The minimum output (minn) must be & ...

Posted by darkknightgaury on Fri, 01 Apr 2022 19:21:54 +0300

Colab platform uses gensim package to realize Word2Vec and fasttext (cbow and skip gram)

It is not advisable to build wheels repeatedly. We should reasonably learn to adjust (tou) package (lan)! Gensim is an open source library that can be used for unsupervised learning and natural language processing. The programming languages are Python and python. More details can be queried on the official website. First import the basic pack ...

Posted by paolo on Thu, 31 Mar 2022 00:58:55 +0300