Programming VIP

MMDetection——2. Quick start (translation) 1: Infer and train existing models and standard data sets MMDetection in In Model Zoo It provides hundreds of existing and existing detection models and supports multiple standard data sets, including Pascal, VOC, COCO, CityScapes, LVIS, etc. This note explains how to perform common tasks ...

Features: self attention layers, end-to-end set predictions, bipartite matching loss The DETR model has two important parts: 1) A set prediction loss that ensures a unique match between the real value and the predicted value. 2) An architecture that can predict (one-time) target sets and model their relationships. 3) Due to the addition of self ...

1. Preface As we all know, Python's most popular crawler framework is Scrapy, which is mainly used to crawl website structural data Today, we recommend a simpler, lightweight and powerful crawler framework: feapder Project address: https://github.com/Boris-code/feapder 2. Introduction and installation Similar to Scrapy, feapder supports l ...

All codes and related articles in this article are only used for experience and technology exchange and sharing. It is prohibited to apply relevant technologies to improper ways. The risk of misuse of technology has nothing to do with me. This article is some records of my study. start Recently, we plan to do a target detection project again. ...

Paper core target Here, the author aims at the graph classification problem of GNN. Study the model level interpretation method. The specific way is to train a graph generator use f ( . ) f(.) ...

Strings, tuples, and dictionaries 1, String A string is an immutable sequence of several different unicode characters 1 . String creation #Single quote string str1 = 'It's going to rain. My mother wants to get married. Let him go' str2 = str() #Empty string str3 = str([10,20,30]) #Double quoted string str2 = "It's going to rain. My mother ...

Long format dataframe and wide format dataframe are two forms of data frames, which appear frequently in data analysis. In the process of data processing, It is often necessary to switch between the two. Based on pandas, this paper introduces the mutual conversion operation of long data and wide data. environment python3.9win10 64bitpandas= ...

I Introduction to serializer 1. Serialization and deserialization in Python Serialization: converting objects in Python to strings in XML formatDeserialization: convert a string in Python format into an object in Python 2. Function of serializer Serialization, the serializer will convert the model object into a dictionary, and then into a j ...

This time, our examples and contents may be a little boring, but I will try my best to simplify each knowledge point. I hope you can be patient: We have seven examples this time, but in general, they can be divided into two parts. First, let's take a look at the first part: Number type and its operation: #DayDayUpQ1.py this small program is ...

1, Write in front This article introduces an improved version of RNN - LSTM on the basis of my other blog post "understanding RNN in one article" 2, LSTM In the practical application of RNN, we find that when the number of time steps is large or the time steps are small, the gradient of cyclic neural network is prone to attenuation ...