OpenCV 不适合用于搭建模型，通常使用其他框架训练模型。ONNX 作为通用的模型描述格式被众多框架支持，这里推荐使用 ONNX 作为模型保存格式。学习模型的推理，如果在项目中使用了 OpenCV，那么很容易添加深度学习支持。在工业视觉领域 OpenCV 使用较为广泛，其 DNN 模块支持。..
由于ubuntu系统近日被不小心整崩溃了，所以早期安装的一些东西又要重新安装，闲来无事，为提高重装人的效率，将一些东西写成博客。
安装OpenCV时，会遇到下面的错误/home/zhang/slam/opencv-3.4.5/opencv_contrib/modules/xfeat
1、首先下载opencv和opencv_contrib的库contrib库：https://github.com/opencv/opencv_contrib/recv_contrib-3.4.1.zip
原文
在对 SLAM 学习的过程当中，有可能遇到 cmake 版本太低而报错的问题，这里教你们如何简单快速的在 Ubuntu 上安装新版 cmake。学习。
This tutorial code needs the xfeatures2d contrib module to be run.
cd opencv-3.4.5 cd buildsudo make uninstallcd .. sudo rm -rf buildsudo rm -r \/usr/local/include/opencv\/usr/local/include/opencv2 \/usr/include/opencv \/usr/include/opencv2 \/usr/local/bin/opencv* \/
EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)cnt = co
代码在gitmain.cppclude <opencv2/highgui/highgui.hpp>#include <opencv2/imgproc/imgproc.hpp>#include <opencv2/co
sudo add-apt-repository "deb http://security.ubuntu.com/ubuntu xenial-security main"
PIL.Image转换成OpenCV格式import cv2from PIL import Imageimport numpy image = Image.open("plane.jpg")image.show()img = cv2.cvtColor(numpy.asarray(image),cv2.COL...
将文件命名为 main.cppsudo g++ main.cpp -o main `pkg-config --cflags --libs opencv`./main打开笔记本摄像头#include <opencv2/highgui/highgui.hpp>#include <opencv2/imgproc/imgproc.hpp>#include <opencv2/
这是一段简单的opencv程序，用于显示一张图片，程序名称为DisplayImage.cpp#include <cv.h>#include <highgui.h>#include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp>using namespace cv;int m
# 打开摄像头并灰度化显示import cv2capture = cv2.VideoCapture(0)while(True): # 获取一帧 ret, frame = capture.read() # 将这帧转换为灰度图# gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) cv2.imshow('frame', frame
#!/usr/bin/env python3# -*- coding: utf-8 -*-"""Created on Sat Jun 1 19:40:03 2019@author: lg"""# -*- coding: utf-8 -*-import face_recognitionimport cv2video_capture = cv2.VideoCapture(0) obama_img =
#coding=utf-8import cv2import numpy as np img = cv2.imread("lu.jpeg", 1) img = cv2.GaussianBlur(img,(3,3),0)canny = cv2.Canny(img, 50, 150) cv2.imshow('Canny', canny)cv2.waitKey(0)cv2.destroyAllWind
RGB转换成灰度图像的一个常用公式是：Gray = R0.299 + G0.587 + B*0.114 对RGB 加权平均
opencv 画直线要画一条线，你只需要告诉函数这条线的起点和终点。我们下面会画一条从左上方到右下角的蓝色线段。import numpy as npimport cv2# Create a black imageimg = np.zeros((512,512,3), np.uint8)# Draw a diagonal blue line with thickness of 5 pxcv2.lin
hsv原理
import cv2import numpy as npfrom matplotlib import pyplot as pltimg = cv2.imread('cc.jpeg',0)img = cv2.medianBlur(img,5)ret,th1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)th2 = cv2.adaptiveThreshol
#coding=utf-8import cv2import numpy as np img = cv2.imread("jr.png", 0) x = cv2.Sobel(img,cv2.CV_16S,1,0)y = cv2.Sobel(img,cv2.CV_16S,0,1) absX = cv2.convertScaleAbs(x) # 转回uint8absY = cv2.convert
import cv2import numpy as np img = cv2.imread("hd.jpeg", 0) img = cv2.GaussianBlur(img,(3,3),0)edges = cv2.Canny(img, 50, 150, apertureSize = 3)lines = cv2.HoughLines(edges,1,np.pi/10,118) #这里对最后一个参
import cv2import numpy as npif __name__ == "__main__": img_path = "lu.jpeg" img = cv2.imread(img_path) #获取图片的宽和高 width,height = img.shape[:2][::-1] #将图片缩小便于显示观看 img_resize = cv2.resi
与opencv_contrib版本不匹配等。不匹配的话cmake会直接报错。后来干看错误直接改代码得了。其他还有2出错误也是这样修改就好。修改为：(自己按自己目录来)做个记录，免得自己忘了。
import numpy as np k33d=np.array([[1,1,1], [1,-8,1], ...
import numpy as npimport cv2from scipy import ndimagek33=np.array([[-1,-1,-1], [-1,8,-1], [-1,-1,-1]])k33d=np.array([[1,1,1], [1,-8,1], [1,...
import cv2# Load an color image in grayscaleimg = cv2.imread('psu.jpeg',3)#cv2.imshow('image',img)res=cv2.resize(img,(1340,1104),interpolation=cv2.INTER_CUBIC)cv2.imwrite('llg.jpg',res)cv2.w...
import numpy as npimport cv2from matplotlib import pyplot as pltimg=cv2.imread('tt.png',cv2.IMREAD_COLOR)#method1b,g,r=cv2.split(img)img2=cv2.merge([r,g,b])plt.imshow(img2)plt.show()##meth...
#!/usr/bin/env python3# -*- coding: utf-8 -*-"""Created on Wed Sep 26 12:41:46 2018@author: luogan"""import numpy as npfrom matplotlib import pyplot as plttt=np.array([[[2, 1, 225], ...
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