. NET + OpenCV & Python + OpenCV configuration

Recently need to do a GUI application for image recognition, weighed opencv+ 1) qt,2) Python gui,3). NET is selected after the. Net ...

This paper gives the corresponding reference of C#+OPENCV and PYTHON+OPENCV, saving everyone time.

(a) c#.net + OPENCV

1) Download and install the EMGU library (for OpenCV in. NET env)

Download @ http://sourceforge.net/projects/emgucv/

2) How do I use the OpenCV on C #?

VS Configuration Emgu (library)

3) test on C#.net

(ii) Python + OPENCV

According to the instruction of the official website, you can compile from source itself, or you can use binary files directly.

Here's a note of a mistake I encountered, undefined cv2. SIFT ():

[Plain]View PlainCopy 

1. Attributeerror: ' Module ' object has no attribute ' SIFT '

Check the data some places interpreted as a high version of the SIFT as Non-free module need to compile only, specific reference this post.

But I did not solve the problem after the successful compilation ... So try to OpenCV 2.3.1 OpenCV 2.4.6.0, and then according to the official website of the instruction pre-compiled binary file method cv2.pyd copy to Python, success ....

PS: Like to toss on the Mac to see this post it ... Installing OpenCV 2.4.2 on Mac OSX Mountain Lion with Python support

Finally put a python+opencv+numpy test code:

[Python]View PlainCopy 

2. Import Cv2
4. Import NumPy as NP
6. #import PDB
8. #pdb. Set_trace () #turn on the PDB prompt
12. #test Cv2 and NumPy package
14. Print cv2.__version__
16. A = Np.arange (ten)
18. Print (a)
22. #read image
24. img = cv2.imread (' D:\privacy\picture\little girl.jpg ', Cv2. Imread_color)
26. Gray = Cv2.cvtcolor (img,cv2. Color_bgr2gray)
28. Cv2.imshow (' TT ', IMG);
32. #basic accessing
34. B,g,r = img[0,0]; #blue, green,red
36. Print B,g,r
40. Rows,columns,channels = Img.shape
42. Print Rows,columns,channels
44. Print Img.size
48. #channels Split and merge
50. B,g,r = Cv2.split (IMG)
52. img = Cv2.merge ([b,g,r])
56. #SIFT
58. detector = Cv2. SIFT ()
60. Keypoints = Detector.detect (Gray,None)
62. img = cv2.drawkeypoints (gray,keypoints)
64. #img = cv2.drawkeypoints (gray,keypoints,flags = Cv2. draw_matches_flags_draw_rich_keypoints)
66. Cv2.imshow (' Test ', IMG);
68. Cv2.waitkey (0)
70. Cv2.destroyallwindows ()

Results:

from:http://blog.csdn.net/abcjennifer/article/details/17580311

. NET + OpenCV & Python + OpenCV configuration