fireflychh的博客

1、将读取的图像由BGR变为RGB import cv2 srcBGR = cv2.imread("sample.png") destRGB = cv2.cvtColor(srcBGR,cv2.COLOR_BGR2RGB)

import numpy as np import cv2 import matplotlib.pyplot as plt a = np.array([[[10,10], [100,10], [100,100], [10,100]]], dtype = np.int32) b = np.array([[[100,100], [200,230], [150,200], [100,220]]]

##### CMake entry point cmake_minimum_required (VERSION 3.0) project (mld_crf) ##### make release version set(CMAKE_BUILD_TYPE Release) ##### external library setting find_package(

IplImage是OpenCV中C语言的图像类型;cv::Mat是OpenCV中C++语言的图像类型; 两者间相互转化实例如下： cv::Mat img_src = cv::imread(img_name);   cv::Mat mimg = img_src.clone();   //IplImage* img = cvCreateImageHeader(img_src.size(),

加入： set(CUDA_USE_STATIC_CUDA_RUNTIME OFF) include_directories("/usr/local/cuda-8.0/include") ##### CMake entry point cmake_minimum_required (VERSION 3.0) project (mld_crf) ##

1、安装所需的编译器、依赖等 [compiler] sudo apt-get install build-essential [required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev [optional] sudo a

1、打开视频文件 [cpp] view plain copy #include "opencv2/core/core.hpp"  #include "opencv2/highgui/highgui.hpp"  #include "opencv2/imgproc/imgproc.hpp"  #include   using namespace cv;  using na

opencv中图像的采用cv::Mat类进行封装，可以设置图像为不同的数据类型，如CV_8UC1为type  0，后面的是1,2,3等依次类推，对于读取图像像素： 对于灰度图： cout(1,1) 如果类型uchar设置的不对，会提示error: template argument 1 is invalid 对于彩色图： cout(1,1)