¡@
python Programming Glossary: uint8What is different between all these OpenCV Python interfaces? http://stackoverflow.com/questions/10417108/what-is-different-between-all-these-opencv-python-interfaces img1 img2 . But NumPy addition is a modulo operation for uint8 arrays like images. See the article Difference between Matrix..
Why is numpy's einsum faster than numpy's built in functions? http://stackoverflow.com/questions/18365073/why-is-numpys-einsum-faster-than-numpys-built-in-functions consider the following In 1 x 255 np.ones 100 dtype np.uint8 In 2 x Out 2 array 255 255 255 255 255 255 255 255 255 255 255.. 255 255 255 255 255 255 255 255 255 255 255 255 255 dtype uint8 Note that the sum is correct In 3 x.sum Out 3 25500 While einsum..
Image embossing in Python with PIL — adding depth, azimuth, etc http://stackoverflow.com/questions/2034037/image-embossing-in-python-with-pil-adding-depth-azimuth-etc avoid overflow a2 a2.clip 0 255 # you must convert back to uint8 before converting to an image img2 Image.fromarray a2.astype.. converting to an image img2 Image.fromarray a2.astype 'uint8' img2.save 'daisy2.png' I hope this helps. I can see now why..
http://stackoverflow.com/questions/4370745/view-onto-a-numpy-array vice versa. Edit I commonly work with 10GB 3D arrays of uint8's so I worry about this a lot... Numpy can be very efficient.. int and an array of 0 0 0 0 0 0 240 63 if viewed as a uint8. This is really nice when you need to do bit twiddling of some..
Detecting thresholds in HSV color space (from RGB) using Python / PIL http://stackoverflow.com/questions/4890373/detecting-thresholds-in-hsv-color-space-from-rgb-using-python-pil H 360 # if you prefer leave as 0 360 but don't convert to uint8 # Value V M # Saturation S numpy.zeros R.shape int S Cmsk 255..
http://stackoverflow.com/questions/524930/numpy-pil-adding-an-image is that your NumPy arrays im1arr im2arr are of the uint8 type i.e. 8 bit . This means each element of the array can only.. exceeds 255 it loops back around 0 array 255 10 100 dtype 'uint8' array 1 10 160 dtype 'uint8' array 0 20 4 dtype uint8 To avoid.. 0 array 255 10 100 dtype 'uint8' array 1 10 160 dtype 'uint8' array 0 20 4 dtype uint8 To avoid overflow your arrays should..
Finding a subimage inside a Numpy image http://stackoverflow.com/questions/7670112/finding-a-subimage-inside-a-numpy-image a Numpy image I have two Numpy arrays 3 dimensional uint8 converted from PIL images. I want to find if the first image..
How to hash a large object (dataset) in Python? http://stackoverflow.com/questions/806151/how-to-hash-a-large-object-dataset-in-python import numpy a numpy.random.rand 10 100 b a.view numpy.uint8 print a.dtype b.dtype # a and b have a different data type float64.. b.dtype # a and b have a different data type float64 uint8 hashlib.sha1 a .hexdigest # byte view sha1 '794de7b1316b38d989a9040e6e26b9256ca3b5eb'..
|