OpenCV

在函数‘cv::Mat::~Mat()’中:(.text._ZN2cv3MatD2Ev[_ZN2cv3MatD5Ev]+0x39):对‘cv::fastFree(void*)’未定义的引用

女生的网名这么多〃 提交于 2020-12-17 13:44:45
erro:在函数‘cv::Mat::~Mat()’中:(.text._ZN2cv3MatD2Ev[_ZN2cv3MatD5Ev]+0x39):对‘cv::fastFree(void*)’未定义的引用CMakeFiles/main.dir/main.cpp.o:在函数‘cv::Mat::release()’中:(.text._ZN2cv3Mat7releaseEv[_ZN2cv3Mat7releaseEv]+0x4b):对‘cv::Mat::deallocate()’未定义的引用 解决办法: 网上找了好久,连出错原因都找不到(估计错误原因是链接不到opencv库),只能用命令行方式生成编译文件了。把build文件夹和CMakeLists.txt都删掉(为了整洁),终端里输入: g++ main.cpp ` pkg-config --cflags --libs opencv ` -o test 可以参照 在linux环境下编译运行OpenCV程序的两种方法 来源: oschina 链接: https://my.oschina.net/u/4319831/blog/4812559

基于opencv,开发摄像头播放程序

大兔子大兔子 提交于 2020-12-16 23:48:18
前言 Windows下实现摄像视频捕捉有多种实现方式;各种方式的优劣,本文不做对比。但是,opencv是一款老牌开发库,在图像处理领域声名显赫。采用opencv来处理摄像视频,在性能和稳定性上,是有保障的。并且,opencv包含很多图像处理函数,可以更方便的对视频处理。   执行程序是用wpf开发的,所以先将opencv封装成c语言接口,以供调用。opencv也不可能提供现成的控件供wpf使用,两种不同的开发语言“沟通”起来有些困难。其实稍作变通,就可以实现摄像头播放功能。 1 对opencv封装 opencv的类VideoCapture封装了对摄像头的操作,使用起来也非常简单。 bool open(int device); device为摄像头设备序号。 如果有多个摄像头,怎么知道哪个摄像头的序号那?可以通过如下函数,获取摄像头列表。摄像头在list中索引即为设备序号。 int GetCameraDevices(vector<wstring>& list) { ICreateDevEnum *pDevEnum = NULL; IEnumMoniker *pEnum = NULL; int deviceCounter = 0 ; CoInitialize(NULL); HRESULT hr = CoCreateInstance(CLSID_SystemDeviceEnum,

python环境下安装opencv库的方法

自古美人都是妖i 提交于 2020-12-16 23:33:59
注意:安装opencv之前需要先安装numpy,matplotlib等 一、安装方法 方法一、在线安装 1.先安装opencv-python pip install opencv-python --user 我的python版本是3.6.8,可以看到opencv安装的默认版本是 opencv_python-4.1.0.25-cp36-cp36m-win_amd64.whl 2.再安装opencv-contrib-python pip install opencv-contrib-python --user 备注1: 此种方法安装后,import cv2 as cv后,代码可以正常运行,但是无法自动补全 解决方案1:import cv2.cv2 as cv(此方法有时会时灵时不灵) 参考: https://blog.csdn.net/az9996/article/details/90546827 若出现这样的情况: 例如cv.imread()本来是个函数,但是只能补全到cv.imread, 解决方案:修改 project interpreter为别的路径,然后再修改回来; 原因分析:库文件在刚刚被加入项目中时,pycharm会针对这个库文件,构建索引,然后再pycharm底部会显示一个进度条:updating skeletons for ...,在进度条走完之前,代码无法自动补全

Apple M1上如何用pip安装x86的Python Wheel包

亡梦爱人 提交于 2020-12-16 04:29:20
最近可能很多人在犹豫要不要买Apple M1的苹果电脑,担心兼容性问题。其实完全不用担心。Apple M1绝对是强大的生产力工具。这里分享下如何用pip安装x86的Python wheel包。 安装pip Mac自带Python 2.7。如果第一次在terminal中运行Python3,会提示安装。 点击安装之后。就可以运行Python3。 接下来安装pip: curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py python3 get-pip.py 安装x86的wheel包 如果你直接用pip去安装包含x86库的Python包,会失败: python3 -m pip install dbr 可能有人会觉得因为M1不兼容。这个时候来看下Python3的arch: % file $(which python3) /usr/bin/python3: Mach-O universal binary with 2 architectures: [x86_64:Mach-O 64-bit executable x86_64] [arm64e:Mach-O 64-bit executable arm64e] /usr/bin/python3 (for architecture x86_64): Mach-O 64-bit

Detecting warm colors in the Python image

雨燕双飞 提交于 2020-12-15 06:49:22
问题 I have a problem and I need your help. I have a series of thermographic images, of which I need to detect the hot spot (shown in the bar to the right of the image) in the area where the analysis is being done. In the case of these example images, the hot spot is in the focus of the crosshair, however, the goal is to imagine that I don't know where this point is and that the algorithm itself finds it, based on the bar on the right. I leave below some of these images as an example: IR_1544.jpg

Filter in opencv/python

♀尐吖头ヾ 提交于 2020-12-15 06:29:07
问题 I am trying to learn filters in opencv and running this code. But the problem is that when ı run the code it gives me an almost dark image and warns me with "c:/Users/fazil/Desktop/Yeni Metin Belgesi (3).py:19: RuntimeWarning: overflow encountered in ubyte_scalars result[j,i,a]=int((image[j,i,a]+image[j,i-1,a]+image[j,i+1,a]+image[j+1,i,a]+image[j-1,i,a]+image[j+1,i+1,a]+image[j+1,i-1,a]+image[j-1,i-1,a]+image[j-1,i+1,a])/9)". And if ı comment these out and run code with the lines working

How could I match two detected rectangles from image?

岁酱吖の 提交于 2020-12-15 06:17:30
问题 I want to calculate the ratio of detected rectangle from many images by two detector based on deep learning. for example with below picture, firstly, the first detector detects big circles (c1 and c2), and the second detector detects small circles (d1 and d2). Now, first detector returns the coordinates of c1 and c2, second detector also those of d1 and d2. So I want to make the function and code that can calculate the ratio d1/ c1 and d2 / c2 automatically. so, my idea is that if coordinate

How to display a cv2 video inside a python GUI? [duplicate]

情到浓时终转凉″ 提交于 2020-12-15 05:31:45
问题 This question already has answers here : PyQt showing video stream from opencv (3 answers) Closed last year . I'm creating a GUI using Python/PyQt5 which should display a video along with other widgets in the same window. I've tried different approaches to this problem but stil can't seem to get it to work. Approach 1: Adding the video in a pixmap using OpenCV/cv2 only shows the first frame of the video. Approach 2: I have managed to get the video to play using cv2 however, it opens up in a

How to reliably detect a barcode's 4 corners in real time video capture

血红的双手。 提交于 2020-12-15 05:29:15
问题 I found a Stackoverflow answer for detecting barcode in an image. I am trying to apply the method in the Stackoverflow answer to realtime video capture because my current solution only detect barcodes on clean large surface. How can I apply the method to video capture Here is my code. import cv2 import numpy as np from pyzbar.pyzbar import decode cap = cv2.VideoCapture(0) cap.set(3,640) cap.set(4,480) while True: success, img = cap.read() for barcode in decode(img): myData = barcode.data

How to reliably detect a barcode's 4 corners in real time video capture

送分小仙女□ 提交于 2020-12-15 05:26:37
问题 I found a Stackoverflow answer for detecting barcode in an image. I am trying to apply the method in the Stackoverflow answer to realtime video capture because my current solution only detect barcodes on clean large surface. How can I apply the method to video capture Here is my code. import cv2 import numpy as np from pyzbar.pyzbar import decode cap = cv2.VideoCapture(0) cap.set(3,640) cap.set(4,480) while True: success, img = cap.read() for barcode in decode(img): myData = barcode.data