Digital modeling experience-data processing-pandas

Digital analog experience-data processing-pandas Detailed explanation of the code: will be added next time import pandas as pd import numpy as np # # Set panda display function # pd.set_option(‘display.max_columns’, 10) # pd.set_option(‘display.max_rows’, 100) # pd.set_option(‘display.width’, 100) Series basic operations obj=pd.Series([4,7,-5,3]) obj 0 4 1 7 2-5 3 3 dtype: int64 obj.values array([ 4, 7, […]

Node.js builds web server, interface configuration, parameter format and garbled code processing

Node.js Overview Node.js is not a new programming language, nor is it a JavaScript library, but a JavaScript running environment, and it is also the second running environment for JavaScript outside of the browser. We can run all the features of ES6 on node.js without worrying about any compatibility issues. In addition to its good […]

C++ uses thread pool to simulate asynchronous event processing mechanism

There are asynchronous event processing mechanisms in many C++ frameworks, which makes us often confused and difficult to understand when looking at the source code. The programming routines contained in it may be some mature technologies that we are not familiar with, such as WebRTC. It is similar to Qt’s signal and slot mechanism, thread […]

Data preprocessing for target detection in computer vision

This article covers the preprocessing steps performed on image data when solving object detection problems in computer vision. First, let’s start with choosing the right data for object detection in computer vision. When choosing the best images for object detection in computer vision, you need to choose those that provide the most value in training […]

Preprocessing of YOLOv5 classification model (2) ToTensor and Normalize

Preprocessing of YOLOv5 classification model (2) ToTensor and Normalize flyfish 1. The initial data is a floating point number import torch import numpy as np from torchvision import transforms mean = (0.485, 0.456, 0.406) std = (0.229, 0.224, 0.225) data0 = np.random.random((4, 5, 3)) # H x W x C data0 = np.round(data0,4) print(data0.shape) print(data0) […]

JVM source code analysis: processing details of soft, weak and virtual references

Table of Contents Write in front: Source code analysis: Java level: JVM level: Danger points of use: Summarize: Version Information: jdk version: jdk8u40 Garbage collector: Serial new/old Write in front: Different garbage collectors have different algorithms and different efficiencies. The default is ParallelScavenge new/old in JDK8. The author used Serial new/old when writing the article. […]

Android—screen adaptation processing skills

A few years ago, screen adaptation has been a major problem that troubled Android development engineers. However, with the birth of various screen adaptation solutions in recent years and the launch of various Google adaptation controls, screen adaptation has become increasingly easier. Below, we will summarize the skills about screen adaptation. ConstraintLayout Many Android engineers […]

After the vnpy_ctp source code is downloaded, it is converted into a python usable processing process.

Table of Contents write in front Download the source code and unzip it Create python project environment process Compile vnpy_ctp source code Verify availability Write in front Visual Studio must be installed in the window system, and C++ compilation is required when installing the source code later. Download the source code and unzip GitHub – […]

[OpenCV image implementation: White balance algorithm using OpenCV image processing techniques]

Article directory summary Load sample image Statistical data analysis White Patch Algorithm summary Summary White balance technology plays a vital role in photography and image processing. Under different lighting conditions, the camera may not accurately capture the true color of an object, resulting in images that appear dull, unnatural in tone, or washed out. In […]