dilate opencv python

[Hardware Environment]Raspberrypi 3-Generation B (UK version)[Software Environment]Operating system: RaspbianPython version: 2.7.3Python Library:1.1) Opencv-python (3.2.0.6)[Construction process]OpenCV Python Library:1. PIP Installation[The relevant code (temporarily unverified, removed from the author's original code

[Hardware Environment]WIN10 64-bit[Software Environment]Python version: 2.7.3Ide:jetbrains Pycharm 2016.3.2Python Library:1.1) Opencv-python (3.2.0.6)[Construction process]OpenCV Python Library:1. Select the Opencv-

: Network Disk DownloadOpenCV 3 is an advanced computer vision library that can be used in a variety of image and video processing operations, and OpenCV 3 can easily implement some promising and advanced applications (such as face recognition or target tracking). Understanding computer vision-related algorithms, models, and the basic concepts behind the OPENCV 3 API can help you develop applications in the

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

First, what is OPENCV?Open Source Computer Vision LIBRARY.OPENCV was established by Intel in 1999 and is now supported by Willow garage. OpenCV is a BSD licensing (open source) release of the cross-platform computer Vision library that can run on Linux, Windows, MacOS operating systems. It is lightweight and efficient-consisting of a series of C functions and a small number of C + + classes, and provides in

Python and OpenCV installation tutorial on Raspberry Pi 2 or Raspberry Pi B +, pythonopencv My Raspberry Pi 2 just arrived yesterday. This guy looks cute. This guy has a 4-core MHz processor and 1 GB memory. You know, Raspberry Pi 2 is much faster than most computers in my middle school computer lab. Since the release of Raspberry Pi 2, I have received many requests asking me to write a detailed description

This article describes how to install Python and OpenCV on Raspberry Pi 2 or Raspberry Pi B +. it is based on the GTK library and uses Python2.7 and OpenCV2.4.X as an example, if you need a friend, refer to my Raspberry Pi 2 which was just delivered yesterday. this guy looks very cute. This guy has a 4-core MHz processor and 1 GB memory. You know, Raspberry Pi 2 is much faster than most computers in my mid

Python + opencv implements Dynamic Object Tracking and pythonopencv A few simple lines can be used to track dynamic objects. As shown in the following figure, opencv is powerful in image processing. Python code: import cv2 import numpy as np camera=cv2.VideoCapture(0) firstframe=None while True: ret,frame = camera.re

My Raspberry Pi 2 just arrived yesterday, this guy looks very small and cute. This little guy has 4 cores 900MHZ of processor, 1G RAM. You know, Raspberry Pi 2 is much faster than most computers in my high school computer lab. Anyway, since Raspberry Pi 2 was released, I've received a lot of requests that I can write a detailed description of how to install OpenCV and Python on it. So if you want to star

Idea: Before using C # to control the camera, now tired of windows, decided to move to play under Linux. Feel able to python language unique good start, just replace C #, chose the deepin2014.1 as a test product. Now the idea is the first step to achieve on their own computer video capture, the second step to achieve video transmission. Take it slow. Baidu said Python wants to operate the camera, Vid

This document documents the process of manually installing OPENCV 3.0 using source code under Ubuntu 14.04. The method of installing and loading OpenCV in Python is also documented.1. Install OpenCV required libraries (compilers, required libraries, optional libraries)GCC 4.4.x or laterCMake 2.6 or higherGitgtk+2.x or

Install and test OpenCV 14.04 + Python 3.0 in Ubuntu 2.7 This document describes how to manually install OpenCV 14.04 using the source code in Ubuntu 3.0. In addition, the method for installing and loading OpenCV in Python is recorded. 1. Install the library required by

彩色, another color BGR plt.subplot (1 , 2 , 2 ), plt.imshow (erosion, ) (v) Morphological gradientsThe combination of expansion and corrosion makes the result appear to be the same as extracting the contour of the object.import cv2import numpy as npimport Matplotlib.pyplot as pltimg = cv2.imread ( ' man.jpg ' , 0 ) #直接读为灰度图像 kernel = np.ones ((5 , 5 ), np.uint8) closing= Cv2.morphologyex (Img,cv2. Morph_gradient,kernel) Plt.subplot (1 , 2 , 1 ), Plt.imshow (Img,) #默认彩色, another color BG

Original link: 50649811ImportCv2ImportNumPy as NP camera=Cv2. Videocapture (0) Firstframe=None whileTrue:ret,frame=Camera.read ()if notret: BreakGray=Cv2.cvtcolor (Frame,cv2. Color_bgr2gray) Gray=cv2. Gaussianblur (Gray, 21,21), 0)ifFirstframe isNone:firstframe=GrayContinueFramedelta=Cv2.absdiff (firstframe,gray) Thresh= Cv2.threshold (Framedelta, 255, Cv2. thresh_binary) [1] Thresh= Cv2.dilate (Thresh, None, iterations=2) #cnts= cv2.findcontour

Python + opencv for Dynamic Object Recognition, pythonopencv Note: This method is very affected by light changes. Figure of the result of your mobile phone shaking at home: Source code: #-*-Coding: UTF-8-*-"Created on Wed Sep 27 15:47:54 2017 @ author: tina" import cv2 import numpy as np camera = cv2.VideoCapture (0) # parameter 0 indicates the first camera # determine whether the video is enabled if (came

Import Osimport cv2import numpy as npfrom scipy.stats import modeimport timeimport concurrent.futures ' ' multi-process To crop pictures. " def crop (file_path_list): Origin_path, Save_path = file_path_list img = cv2.imread (origin_path) Gray = Cv2.cvtcol Or (IMG, CV2. Color_bgr2gray) Closed_1 = Cv2.erode (Gray, none, iterations=4) Closed_1 = Cv2.dilate (Closed_1, none, iterations=4) Blurred = Cv2.blur (Closed_1, (9, 9)) # Get the most frequent pix

In this paper, "PYTHON+OPENCV practice" A, color-based object tracking (I.) The functional enhancements were made as follows: (1) The addition of PTS emptying, that is, when the target is not detected, empty PTS, showing no longer traces of the image; (2) The direction of motion and the current coordinate can be judged by the addition of the movement directions. From collections import deque import NumPy a

Just contact Python and OpenCV, not very familiar with both, because in the future learning will use these two tools, hereby learning configuration. PS: This post is suitable for small white.I. Required Documents1. OpenCVOpencv-2.3.1-win-superpack.exe self-extracting files can be used to run directly and install them into the OpenCV folder by default.Download Lin

Original link: http://codewenda.com/python%E4%BD%BF%E7%94%A8opencv%E5%A4%84%E7%90%86sudoku%E9%97%AE%E9%A2%98/I'm doing an interesting project: use OpenCV to resolve Sudoku from the input image (e.g., Google Goggles, etc.). I have finished the task, but in the end I found a little problem with my coming here.I use the Python API of

Ubuntu16.04 Installing OPENCV for python/c++Online about the installation of OpenCV has a lot of information, but not a piece of information can allow me to install a successful one-time, so spent a lot to solve various accidents, I hope this can bring some people to facilitate, save time.1. Install the required libraries for the