I am using OpenCV for various object detectors, and I am finding it difficult to write portable code.
For instance, to load a face detector, on a mac with OpenCV installed via homebrew, I have to write:
haar=cv.Load('/usr/local/Cellar/opencv/2.4.2/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml')
This is not portable; if I wish to change to another machine I'll have to determine another absolute path and change this code.
Is there a variable that holds the OpenCV root for OpenCV? That way I could write something like:
haar=cv.Load(os.path.join(OpenCVRoot, "haarcascades",
"haarcascade_frontalface_default.xml"))
UPDATE: It looks like this is not just a problem for me; it is also a problem for the OpenCV documentation. The documentation contains the following broken example code:
>>> import cv
>>> image = cv.LoadImageM("lena.jpg", cv.CV_LOAD_IMAGE_GRAYSCALE)
>>> cascade = cv.Load("../../data/haarcascades/haarcascade_frontalface_alt.xml")
>>> print cv.HaarDetectObjects(image, cascade, cv.CreateMemStorage(0), 1.2, 2, 0, (20, 20))
[((217, 203, 169, 169), 24)]
This would be simple to avoid if there was a way to infer where examples like lena.jpg and the pre-trained classifiers were installed.
Source: http://opencv.willowgarage.com/documentation/python/objdetect_cascade_classification.html (Retrieved 3/5/13)
By default OpenCV will be installed to the /usr/local directory, all files will be copied to following locations: /usr/local/bin - executable files. /usr/local/lib - libraries (.
cv2. imwrite() method is used to save an image to any storage device. This will save the image according to the specified format in current working directory.
Start the Python shell by typing python3 and then hit enter. You will be inside the Python shell where you can execute your Python code. Import the cv2 package which is the name of the OpenCV module. Type “import cv2” and hit enter.
You can use cv2.__file__
to get path to the module and then use os.path to resolve symlinks and do some path manipulation. This line of code returns the directory of the haarcascades files on my Mac OS homebrew installation. It may work on other installations too.
from os.path import realpath, normpath
normpath(realpath(cv2.__file__) + '../../../../../share/OpenCV/haarcascades')
It seems there is little hope of having a single mechanism which would be portable across time and space (versions and platforms/environments), but there is some progress - I don't know which version introduced it, but 4.0 has it:
cv2.data.haarcascades
- string pointing to a directory, e.g.:
>>> import cv2
>>> cv2.data
<module 'cv2.data' from 'C:\\Users\\USERNAME\\Anaconda3\\envs\\py36\\lib\\site-packages\\cv2\\data\\__init__.py'>
>>> cv2.data.haarcascades
'C:\\Users\\USERNAME\\Anaconda3\\envs\\py36\\lib\\site-packages\\cv2\\data\\'
>>> cv2.__version__
'4.0.0'
But unfortunately, for 3.2.x and 3.4.x there is no such module...
So you could do:
if hasattr(cv2, 'data'):
print('Cascades are here:', cv2.data.haarcascades)
else:
print('This may not work:')
print(normpath(realpath(cv2.__file__) + '../../../../../share/OpenCV/haarcascades'))
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