opencv python tutorial

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Python+opencv+tkinter Integration Demo Complete! __python

Python+opencv+tkinter Integrated Demo Because of the need to use OPENCV for small demo development, but because the OPENCV with the GUI function is still very simple, so use opencvv+tkinter combination implementation. First, the result chart. In the GUI click on the point of Praise button in the console can show "Some

OpenCV for Python

OPENCV Display Image:1 #-*-coding:utf-8-*-2 ImportNumPy as NP3 ImportCv24 fromMatplotlibImportPyplot as Plt5 6Img=cv2.imread ("Cat.png", 5)#Gta5-In7Cv2.imshow ('Image', IMG)#Show8K=cv2.waitkey (0) 0xff#read keyboard input, parameter is read in x milliseconds, x=0 is infinite wait read9 while(k!=27 andK!=ord ('s')):TenK=cv2.waitkey (0) 0xff One ifK==27: A cv2.destroyallwindows () - elifK==ord ('s'): -Cv2.imwrite ('Mess.png', IMG) theCv2.destroyallwi

Target detection for the use of OPENCV libraries in Python (ii)

, and the method of integrating graph can accelerate the solution of the value of the class Haar feature.One of the most basic class Haar features is a rudimentary weak classifier, which is optimized after the weak classifier is called the optimized weak classifier.A strong classifier is formed by combining multiple optimized weak classifiers.But the application of a single strong classifier is not good in actual detection,So it was proposed to cascade or cascade several strong classifiers toget

Python 3.6 Installation OpenCV 3.4

A saying is, to OPENCV official website to download the corresponding version OpenCV, unzip, put Cv2.pyd in the Python installation folder \lib\site-packages can, at this time import Cv2 can be successfulI didn't succeed,Then try another, to https://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv website to download the cor

VS2015 compilation Caffe2 (currently compiled CPU+GPU+PYTHON+OPENCV)

sentence, there will be an error at compile time that cannot link python27.lib. Do not know whether the author has compiled his own works under Windows, it seems that there should be no. 5. Add Cuda and OPENCV support, in Build_windows.bat, set Use_cuda and Build_opencv to ON, then ... And then...... Then you have to change a lot of things, not a word can be said two words clear, very sour ... Want to open Cuda and

Opencv-python Study NOTE 2: Achieve eye follow (also called Face follow)

reprint Please specify: @ Xiao Wu Yi Http://www.cnblogs.com/xiaowuyi qq Group: 64770604If the robot's face rotates with the face in front of you, you will not find this interaction interesting. Years ago, learning a bit of OPENCV, through the OPENCV can be simple to achieve the face of the follow. Plus a few servos to control the head rotation, the robot can interact. OhHere do not do video demonstration, j

Car brand identification Python + OPENCV

 including algorithm and client interface, only 2 files, surface.py is the interface code, predict.py is the algorithm code, the interface is not the focus, so with Tkinter write very simple. How to use: Version: python3.4.4,opencv3.4 and numpy1.14 and PIL5 Github:https://github.com/wzh191920/license-plate-recognitionDownload the source code, and install Python, numpy, OpenCV

Opencv video target tracking example tutorial (meanshift)

Error cause: Incorrect Library File SettingsSolution: Project-> properties-> connector-> input-> Add dependencies to add library files that the program depends on, this program uses opencv_core220d.lib and opencv_highgui220d.lib (we recommend that you add all the above dynamic libraries) Other errors may occur during use, such: Proxytrans. Ax cocould not be loadedThis error is caused by the default installation of a registered item in opencv1.0. you can install opencv1.0 at the following addr

New era of AI-the great God teaches you to use PYTHON+OPENCV to complete the face unlock (attached source)

All right, guys, I'm back. Say I drag more not to write the article can come over with your little blasted to whack my chest ....So today we are going to use python+opencv+face++ for face verification and face unlocking. The same amount of code, you can use the code in some other areas of intelligence, such as smart home, when the door to determine who you are, you can also join machine learning to determin

Play the next OpenCV Aruco (Python version)

Simply play the next OpenCV inside the Aruco, with the mobile phone camera, mobile phone installed an IP camera , so that the video can be uploaded to the computer.First is the calibration, I did not print chessboard, directly on the computer screen display, took 17, probably as follows:And put a ruler and the like on the mobile phone app, the volume of the next, each lattice is probably 18.1 mm, the chessboard is the board of X 7.To pip install

Python opencv watershed algorithm example, pythonopencv

Python opencv watershed algorithm example, pythonopencv This article introduces the watershed algorithm example of python opencv and shares it with you as follows: Target Use the watershed algorithm to separate tagged Images Use the cv2.watershed () function () Principle: Gray images can be seen as topological p

Python configuration OpenCV

1. Install Python, which is installed in version 2.7, installed in the C drive directory. 2.7 versions have their own PIP, double-click Pip.exe to install the line.2. Install the NumPy, scipy module. We recommend a Web site, Python-related modules have, you can choose to download.http://www.lfd.uci.edu/~gohlke/pythonlibs/Download the. whl file here, and after the download is complete, place the two files in

OPENCV Adaptive histogram equalization with Python for constrained contrast

average value of 2 per region added. Note: The adaptive histogram equalization function that restricts contrast is not mentioned in the OpenCV manual. The specific Python implementation of the Adaptive Histogram equalization code for limiting contrast is as follows:where the default setting is 40, the size of the block is 8x8The effect of the program after running is as follows: This digest from the asynch

Python OpenCV arithmetic operations on the Getting Started image (7) __python

Content from Opencv-python tutorials own translation finishing TargetImage addition, subtraction, bitwise operationLearning function Cv2.add (), cv2.addweighted () addition:Add two images using Cv2.add (), which can be implemented using matrix addition in NumPy. But in OpenCV the addition is saturated operation, that is, the upper bound value, NumPy will take the

OpenCV for Python Learning (a drawing function)

My study notes are mainly recorded in the study opencv-python-tutorials the book of the NotesThis evening learn how OpenCV for Python plots, mainly using these functions (these functions can be in: http://docs.opencv.org/modules/core/doc/drawing_functions.html Found):Start by copying the code from the book, the code is

Installs the OpenCV method for the specified Python environment (such as Anaconda) __python

Anaconda is a good Python integrated development environment, you can also use Conda or pip to install PYTHON-OPENCV directly, but this installation method after the installation of OPENCV missing video packets, such as the following read video commands Import cv2 cap = Cv2. Videocapture (' Path/to/your/video.mp4 ') c

PYTHON-OPENCV (6)

([[368], [[+], [], [ 387], [389, 390]]) Pts4 = Np.float32 ([ 0, 0], [+, 0], [0, +], [+]]) m_perspective = Cv2.getperspectivetransform (Pts3, pts4) img_perspective = Cv2.warpperspective (img, m_perspective, ( cols, rows))Print ' shift:\n ', M_shiftPrint ' rotate:\n ', M_rotatePrint ' affine:\n ', M_affinePrint ' perspective:\n ', M_perspectiveplt.subplot (231), Plt.imshow (IMG), Plt.title (' src ') Plt.subplot (232), Plt.imshow (res), Plt.title (' scale ') Plt.subplot (233), Plt.imshow (Img_shif

Using opencv in Python (2) (simple geometric image rendering)

Using opencv in Python (2) (simple geometric image rendering) Simple geometric images generally include vertices, straight lines, matrices, circles, decimals, and polygon. First, let's take a look at the definition of pixels in opencv. One pixel of an image has one or three values. A gray image has a gray value, and a color image has three values to form a pixel

OpenCV for Python Learning (two events and callback functions)

Today we mainly look at the events in OpenCV and the callback function, so it may not be accurate, mainly the following two functions (OPENCV, there are many of these functions, can be in the Http://docs.opencv.org/trunk/modules/highgui/doc /user_interface.html found, did not list each one), and then made a simple drawing programThe functions are as follows:See first function, Cv2.setmousecallback ()ImportC

Python OpenCV Getting Started template matching (num) __python

Content from Opencv-python tutorials own translation finishing Target:Finding a target in an image using template matchingLearning function Cv2.matchtemplate (), Cv2.minmaxloc () principle:Template matching is a way to find template images in a pair of images. A function cv2.matchtemplate () is implemented in OpenCV. Like 2D convolution, it also slides (like a wi

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