VS2015上OpenCV-2.4.13安裝與Hi35xx .jpg/.bmp格式轉.bgr格式開發

  因為Hi3559AV100後期深度學習開發需要用到.bgr格式的圖片,而目前在手的一般為.jpg或.bmp格式的圖片,下面隨筆將給出基於OpenCV-2.4.13的格式轉換,實現Hi35xx .jpg/.bmp格式轉.bgr格式轉換。

VS2015上OpenCV-2.4.13安裝

環境

  Win10

  VS2015 win32 Debug

操作步驟

  現在給出OpenCV-2.4.13安裝具體細節:

  首先給出下載地址,OpenCV是開源免費的,通過網站直接下載://opencv.org/releases/#

  下載好之後,把下載包壓縮到文件夾下(注意沒有中文等),壓縮好之後,先在win10上配置好環境變量,具體如下操作:

  在系統環境PATH變量下添加opencv\build\x86\vc14\bin路徑:(若VS2015需要x64 Debug,則添加x64的bin路徑,也可以兩個都添加,方便後面使用) 記得一定要重啟

   添加完系統路徑後,打開VS2015,創建Win32控制台應用程序,點擊完成之後,下一步選擇空項目創建

   創建完成之後,選擇屬性管理器

   隨後在屬性管理器界面點開Debug|Win32,雙擊Microsoft.Cpp.Win32.user:

   隨後在VC++目錄下添加包含目錄、庫目錄,添加具體內容如下:

   隨後在鏈接器下面選擇輸入,添加附加依賴項:

   附加依賴項添加具體內容如下:(帶D表示為Debug模式,否則為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

   雖然在工程下創建源文件即可編輯,輸入如下內容進行測試:

 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("顯示圖像", srcImage);
 9 
10     waitKey();
11 
12     return 0;
13 }

  測試通過後,進行Hi35xx .jpg/.bmp格式轉.bgr格式實現。

Hi35xx .jpg/.bmp格式轉.bgr OpenCV實現

  下面直接給出代碼,供大家使用:

代碼實現

 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     //縮放
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 轉換.bgr測試結果