5,337
edits
Python: Difference between revisions
→Images
(→Images) |
|||
| Line 385: | Line 385: | ||
===Pillow (PIL)=== | ===Pillow (PIL)=== | ||
<code>pip install pillow</code> | <code>pip install pillow</code> | ||
<syntaxhighlight lang="python> | <syntaxhighlight lang="python"> | ||
from PIL import Image | from PIL import Image | ||
from | from | ||
| Line 395: | Line 395: | ||
* <code>flip()</code> - flips across y axis | * <code>flip()</code> - flips across y axis | ||
* <code>mirror()</code> - flips across x axis | * <code>mirror()</code> - flips across x axis | ||
===Bilinear Interpolation=== | |||
Coped from [https://stackoverflow.com/questions/12729228/simple-efficient-bilinear-interpolation-of-images-in-numpy-and-python https://stackoverflow.com/questions/12729228/simple-efficient-bilinear-interpolation-of-images-in-numpy-and-python] | |||
<syntaxhighlight lang="python"> | |||
def bilinear_interpolate(im, x, y): | |||
""" | |||
Basic bilinear interpolation | |||
:param im: | |||
:param x: | |||
:param y: | |||
:return: | |||
""" | |||
x = np.asarray(x) | |||
y = np.asarray(y) | |||
x0 = np.floor(x).astype(int) | |||
x1 = x0 + 1 | |||
y0 = np.floor(y).astype(int) | |||
y1 = y0 + 1 | |||
x0 = np.clip(x0, 0, im.shape[1] - 1) | |||
x1 = np.clip(x1, 0, im.shape[1] - 1) | |||
y0 = np.clip(y0, 0, im.shape[0] - 1) | |||
y1 = np.clip(y1, 0, im.shape[0] - 1) | |||
Ia = im[y0, x0] | |||
Ib = im[y1, x0] | |||
Ic = im[y0, x1] | |||
Id = im[y1, x1] | |||
wa = (x1 - x) * (y1 - y) | |||
wb = (x1 - x) * (y - y0) | |||
wc = (x - x0) * (y1 - y) | |||
wd = (x - x0) * (y - y0) | |||
return wa * Ia + wb * Ib + wc * Ic + wd * Id | |||
</syntaxhighlight> | |||
==Libraries== | ==Libraries== | ||