There a couple of different ways to go about this. You can monkey-patch ax.format_coord, similar to this official example. I’m going to use a slightly more “pythonic” approach here that doesn’t rely on global variables. (Note that I’m assuming no extent kwarg was specified, similar to the matplotlib example. To be fully general, you need … Read more
Here’s code making use of Pillow and Scipy’s cluster package. For simplicity I’ve hardcoded the filename as “image.jpg”. Resizing the image is for speed: if you don’t mind the wait, comment out the resize call. When run on this sample image, it usually says the dominant colour is #d8c865, which corresponds roughly to the bright … Read more
Motion blur and camera shake are kind of the same thing when you think about the cause: relative motion of the camera and the object. You mention slow shutter speed — it is a culprit in both cases. Focus misses are subjective as they depend on the intent on the photographer. Without knowing what the … Read more
Thanks for the answers, but I finally revisited this problem and came up with a rather simple solution that gives good performance. It involves deriving from QGLWidget and overriding the paintEvent() function. Inside the paintEvent() function, you can call QPainter::drawImage(…) and it will perform the scaling to a specified rectangle for you using hardware if … Read more
I suspect your test_image has an additional alpha channel per pixel, thus it has 4 channels instead of only three. Try: test_image = Image.open(test_image_name).convert(‘RGB’)
You need to use np.transpose to rearrange dimensions. Now, n x m x 3 is to be converted to 3 x (n*m), so send the last axis to the front and shift right the order of the remaining axes (0,1). Finally , reshape to have 3 rows. Thus, the implementation would be – img.transpose(2,0,1).reshape(3,-1) Sample … Read more
Can be done as follow: from scipy.misc import imread, imsave, imresize image = imread(f_name) if(len(image.shape)<3): print ‘gray’ elif len(image.shape)==3: print ‘Color(RGB)’ else: print ‘others’
A lot of your questions stem from the fact that you’re not sure how morphological image processing works, but we can put your doubts to rest. You can interpret the structuring element as the “base shape” to compare to. 1 in the structuring element corresponds to a pixel that you want to look at in … Read more
I am late to the party as well, but I installed OpenCV 2.4.9 for Mac OS X, and the drawMatches function doesn’t exist in my distribution. I’ve also tried the second approach with find_obj and that didn’t work for me either. With that, I decided to write my own implementation of it that mimics drawMatches … Read more
The RGB int color contains the Red, Green, Blue components of the color in its bits. You have to look at its binary or hexadecimal representation and not look at it as a whole integer number (not look at its decimal representation). An int has 32 bits, 3×8 = 24 is used to store the … Read more