【Apress】Practical OpenCV by Samarth Brahmbhatt (原版 PDF + EPUB)

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Practical OpenCV

Authors: Samarth Brahmbhatt



Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.

Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.

Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It's used by major companies like Google (in its autonomous car), Intel, and Sony; and it is the backbone of the Robot Operating System’s computer vision capability. In short, if you're working with computer vision at all, you need to know OpenCV.

With Practical OpenCV, you'll be able to:
• Get OpenCV up and running on Windows or Linux.
• Use OpenCV to control the camera board and run vision algorithms on Raspberry Pi.
• Understand what goes on behind the scenes in computer vision applications like object detection, image stitching, filtering, stereo vision, and more.
• Code complex computer vision projects for your class/hobby/robot/job, many of which can execute in real time on off-the-shelf processors.
• Combine different modules that you develop to create your own interactive computer vision app.

目录截图：



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关键词：Practical practic Apress Press Mart computer library vision

1. //Code to check the OpenCV installation
   
2. //Author: Samarth Manoj Brahmbhatt, University of Pennsyalvania
   
3. 
   
4. #include <iostream>
   
5. #include <opencv2/highgui/highgui.hpp>
   
6. using namespace std;
   
7. using namespace cv;
   
8. 
   
9. int main()
   
10. {
    
11.         Mat im = imread("image.jpg", CV_LOAD_IMAGE_COLOR);
    
12.         namedWindow("Hello");
    
13.         imshow("Hello", im);
    
14. 
    
15.           cout << "Press 'q' or ESC to quit..." << endl;
    
16.           int key;
    
17.           while(1)
    
18.         {
    
19.                 if(char(waitKey(1)) == 'q') break;
    
20.           }
    
21.         destroyAllWindows();
    
22.         cout << "Got here" << endl;
    
23.         return 0;
    
24. }

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1. // Program to change between color and grayscale representations of an image using a GUI trackbar
   
2. // Author: Samarth Manoj Brahmbhatt, University of Pennsylvania
   
3. 
   
4. #include <iostream>
   
5. #include <opencv2/highgui/highgui.hpp>
   
6. #include <opencv2/imgproc/imgproc.hpp>
   
7. 
   
8. using namespace std;
   
9. using namespace cv;
   
10. 
    
11. // Global variables
    
12. // Maximum slider value
    
13. const int slider_max = 1;
    
14. // Constantly updated slider value
    
15. int slider;
    
16. // Original image
    
17. Mat img;
    
18. 
    
19. // Callback function for trackbar event
    
20. void on_trackbar(int pos, void *)
    
21. {
    
22.         // Holds the image processed acording to value of slider
    
23.         Mat img_converted;
    
24.         // Convert color-spaces according to value of slider
    
25.         if(pos > 0) cvtColor(img, img_converted, CV_BGR2GRAY);
    
26.         else img_converted = img;
    
27. 
    
28.         imshow("Trackbar app", img_converted);
    
29. }
    
30. 
    
31. int main()
    
32. {
    
33.         img = imread("image.jpg");
    
34. 
    
35.         namedWindow("Trackbar app");
    
36.         imshow("Trackbar app", img);
    
37. 
    
38.         // Initial value of slider
    
39.         slider = 0;
    
40. 
    
41.         // Create the trackbar
    
42.         createTrackbar("RGB <-> Grayscale", "Trackbar app", &slider, slider_max, on_trackbar);
    
43.        
    
44.         // Press 'q' to exit
    
45.         while(char(waitKey(1)) != 'q') {}
    
46. 
    
47.         return 0;
    
48. }

复制代码