screenshot.py -full http://reddit.com full.jpg
Screenshot of the entire page (can be very high).
screenshot.py -window http://reddit.com window.jpg
Screenshot of the area that you see in the browser.
screenshot.py -thumb http://reddit.com thumb.jpg
Thumbnail of the area that you see in the browser.
Today I found an interesting post: Face Detection in Static Images with Python. You give an image as input and the program draws a rectangle around the face(s) on the image.
sudo apt-get install python-opencv libcv-dev opencv-doc
Under Ubuntu 11.04, the required XML is in the
opencv-doc package at a different location, thus you need to modify the source code:
... cascade = cvLoadHaarClassifierCascade( '/usr/share/doc/opencv-doc/examples/haarcascades/haarcascades/haarcascade_frontalface_default.xml.gz', cvSize(1,1)) ...
See the full (patched) source code here.
You can draw a rectangle on an image the following way:
convert original.jpg -stroke red -fill none -draw "rectangle 50,36 115,101" output.jpg
Where 50,36 is the top left, 115,101 is the bottom right coordinates.
/ @reddit /
I had the following unicode string: “Kellemes Ünnepeket!” that I wanted to simplify to this: “Kellemes Unnepeket!”, that is strip “Ü” to “U”. Furthermore, most of the strings were normal ascii, only some of them were in unicode.
import unicodedata title = ... # get the string somehow try: # if the title is a unicode string, normalize it title = unicodedata.normalize('NFKD', title).encode('ascii','ignore') except TypeError: # if it was not a unicode string => OK, do nothing pass
I used the following resources: