


Python implements ultra-simple video object extraction function
This article mainly introduces the ultra-simple video object extraction function implemented in python, which has certain reference value. Now I share it with everyone. Friends in need can refer to it
Video object extraction
# is not so much video object extraction as video color extraction, because its essence still uses OpenCV’s HSV color object detection. Not much to say below, let’s take a look at the detailed introduction.
HSV introduction
HSV stands for hue (H: hue), saturation (S: saturation), brightness ( V: value), a color space created by A. R. Smith in 1978, also called the Hexcone Model;
Hue (H: hue): measured in angle, with a value range of 0°~360°, starting from red and counting in counterclockwise direction, red is 0°, green is 120°, and blue is 240°. Their complementary colors are: yellow is 60°, cyan is 180°, and magenta is 300°; (the value range of H in OpenCV is 0~180, when 8bit is stored);
Saturation (S: saturation): The value range is 0~255. The larger the value, the more saturated the color;
Brightness (V: value): The value range is 0 (black) ~ 255 (white);
Effect display
#Implementation ideas
- The HSB value of the Peppa Pig color obtained using PS is equivalent to the HSV of OpenCV, but the HSV (HSB) value of PS is: 0~360, 0~1, 0~1, while the HSV of OpenCV is: 0 ~180, 0~255, 0~255, so the hsv of ps needs to be processed, H/2, SV*255;
- Use OpenCV bit "AND operation" to extract the HSV Color part of the picture;
- Use Gaussian blur to optimize the picture;
- Picture display;
Full code
#coding=utf-8 #HSV转换(颜色提取) import cv2 import numpy as np cap = cv2.VideoCapture(0) while (1): _, frame = cap.read() hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) #在PS里用取色器的HSV psHSV = [112, 89, 52] diff = 40 #上下浮动值 #因为PS的HSV(HSB)取值是:0~360、0~1、0~1,而OpenCV的HSV是:0~180、0~255、0~255,所以要对ps的hsv进行处理,H/2、SV*255 lowerHSV = [(psHSV[0] - diff) / 2, (psHSV[1] - diff) * 255 / 100, (psHSV[2] - diff) * 255 / 100] upperHSV = [(psHSV[0] + diff) / 2, (psHSV[1] + diff) * 255 / 100, (psHSV[2] + diff) * 255 / 100] mask = cv2.inRange(hsv, np.array(lowerHSV), np.array(upperHSV)) #使用位“与运算”提取颜色部分 res = cv2.bitwise_and(frame, frame, mask=mask) #使用高斯模式优化图片 res = cv2.GaussianBlur(res, (5, 5), 1) cv2.imshow('frame', frame) # cv2.imshow('mask', mask) cv2.imshow('res', res) if cv2.waitKey(1) & 0xFF == ord('q'): break cv2.destroyAllWindows()Related recommendations:
Using Python to implement video download function example code
##
The above is the detailed content of Python implements ultra-simple video object extraction function. For more information, please follow other related articles on the PHP Chinese website!

Pythonarrayssupportvariousoperations:1)Slicingextractssubsets,2)Appending/Extendingaddselements,3)Insertingplaceselementsatspecificpositions,4)Removingdeleteselements,5)Sorting/Reversingchangesorder,and6)Listcomprehensionscreatenewlistsbasedonexistin

NumPyarraysareessentialforapplicationsrequiringefficientnumericalcomputationsanddatamanipulation.Theyarecrucialindatascience,machinelearning,physics,engineering,andfinanceduetotheirabilitytohandlelarge-scaledataefficiently.Forexample,infinancialanaly

Useanarray.arrayoveralistinPythonwhendealingwithhomogeneousdata,performance-criticalcode,orinterfacingwithCcode.1)HomogeneousData:Arrayssavememorywithtypedelements.2)Performance-CriticalCode:Arraysofferbetterperformancefornumericaloperations.3)Interf

No,notalllistoperationsaresupportedbyarrays,andviceversa.1)Arraysdonotsupportdynamicoperationslikeappendorinsertwithoutresizing,whichimpactsperformance.2)Listsdonotguaranteeconstanttimecomplexityfordirectaccesslikearraysdo.

ToaccesselementsinaPythonlist,useindexing,negativeindexing,slicing,oriteration.1)Indexingstartsat0.2)Negativeindexingaccessesfromtheend.3)Slicingextractsportions.4)Iterationusesforloopsorenumerate.AlwayschecklistlengthtoavoidIndexError.

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Atom editor mac version download
The most popular open source editor

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

SublimeText3 Mac version
God-level code editing software (SublimeText3)
