VS2015上OpenCV-2.4.13安装与Hi35xx .jpg/.bmp格式转.bgr格式开发
因为Hi3559AV100后期深度学习开发需要用到.bgr格式的图片,而目前在手的一般为.jpg或.bmp格式的图片,下面随笔将给出基于OpenCV-2.4.13的格式转换,实现Hi35xx .jpg/.bmp格式转.bgr格式转换。
VS2015上OpenCV-2.4.13安装
环境
Win10
VS2015 win32 Debug
操作步骤
现在给出OpenCV-2.4.13安装具体细节:
首先给出下载地址,OpenCV是开源免费的,通过网站直接下载://opencv.org/releases/#
下载好之后,把下载包压缩到文件夹下(注意没有中文等),压缩好之后,先在win10上配置好环境变量,具体如下操作:
在系统环境PATH变量下添加opencv\build\x86\vc14\bin路径:(若VS2015需要x64 Debug,则添加x64的bin路径,也可以两个都添加,方便后面使用) 记得一定要重启
添加完系统路径后,打开VS2015,创建Win32控制台应用程序,点击完成之后,下一步选择空项目创建:
创建完成之后,选择属性管理器:
随后在属性管理器界面点开Debug|Win32,双击Microsoft.Cpp.Win32.user:
随后在VC++目录下添加包含目录、库目录,添加具体内容如下:
随后在链接器下面选择输入,添加附加依赖项:
附加依赖项添加具体内容如下:(带D表示为Debug模式,否则为Release模式)
1 opencv_calib3d2413d.lib 2 opencv_contrib2413d.lib 3 opencv_core2413d.lib 4 opencv_features2d2413d.lib 5 opencv_flann2413d.lib 6 opencv_gpu2413d.lib 7 opencv_highgui2413d.lib 8 opencv_imgproc2413d.lib 9 opencv_legacy2413d.lib 10 opencv_ml2413d.lib 11 opencv_nonfree2413d.lib 12 opencv_objdetect2413d.lib 13 opencv_ocl2413d.lib 14 opencv_photo2413d.lib 15 opencv_stitching2413d.lib 16 opencv_superres2413d.lib 17 opencv_ts2413d.lib 18 opencv_video2413d.lib 19 opencv_videostab2413d.lib
虽然在工程下创建源文件即可编辑,输入如下内容进行测试:
1 #include <opencv.hpp> 2 using namespace cv; 3 int main() 4 { 5 Mat srcImage; 6 srcImage = imread("C:/Users/PC/Desktop/jpg_bgr/10_MariaCallas_28_f.jpg"); 7 8 imshow("显示图像", srcImage); 9 10 waitKey(); 11 12 return 0; 13 }
测试通过后,进行Hi35xx .jpg/.bmp格式转.bgr格式实现。
Hi35xx .jpg/.bmp格式转.bgr OpenCV实现
下面直接给出代码,供大家使用:
代码实现
1 #include <stdio.h> 2 #include <windows.h> 3 #include <math.h> 4 #include <iostream> 5 #include <string> 6 7 #include "opencv2/opencv.hpp" 8 #include "opencv2/highgui/highgui.hpp" 9 #include "opencv2/imgproc/imgproc.hpp" 10 11 using namespace cv; 12 13 typedef unsigned char U_CHAR; 14 15 int main() 16 { 17 const char *filename = "C:/Users/PC/Desktop/jpg_bgr/10_MariaCallas_28_f.jpg"; 18 char *outname = "C:/Users/PC/Desktop/jpg_bgr/10_MariaCallas_28_f.bgr"; 19 int flag = 1; 20 21 cv::Mat img = cv::imread(filename); 22 if (!img.data) 23 { 24 printf("read image error\n"); 25 return -1; 26 } 27 28 //缩放 29 resize(img, img, Size(112, 112)); //224x224 30 //imshow("img",img); 31 //waitKey(0); 32 33 U_CHAR *data = (U_CHAR*)img.data; 34 int step = img.step; 35 printf("Step: %d, height: %d, width: %d\n", 36 step, img.rows, img.cols); 37 38 FILE *fp = fopen(outname, "wb"); 39 int h = img.rows; 40 int w = img.cols; 41 int c = img.channels(); 42 43 for (int k = 0; k<c; k++) { 44 for (int i = 0; i<h; i++) { 45 for (int j = 0; j<w; j++) { 46 fwrite(&data[i*step + j*c + k], sizeof(U_CHAR), 1, fp); 47 } 48 } 49 } 50 fclose(fp); 51 52 return 0; 53 }
112×112 转换.bgr测试结果