A cross-platform multi-screen shot module in pure python using ctypes
Project description
Very basic, it will grab one screen shot by monitor or a screen shot of all monitors and save it to an optimised PNG file, Python 2.7/3.3 compatible.
So, while you can pip install mss, you may just drop it in your project and forget about it.
MSS stands for Multi-Screen Shot.
It’s under zlib licence.
Instance the good class
You can determine automatically which class to use:
from platform import system from mss import * systems = { 'Darwin' : MSSMac, 'Linux' : MSSLinux, 'Windows': MSSWindows } try: MSS = systems[system()] except KeyError: err = 'System "{0}" not implemented.'.format(system()) raise NotImplementedError(err)
Or simply import the good one:
from mss import MSSLinux as MSS
init(debug=False)
When initalising an instance of MSS, you can enable debug output:
mss = MSS(debug=True)
save(output=’mss’, oneshot=False)
For each monitor, grab a screen shot and save it to a file.
Parameters:
output - string - the output filename without extension oneshot - boolean - grab only one screen shot of all monitors
This is a generator which returns created files:
'output-1.png', 'output-2.png', ..., 'output-NN.png' or 'output-full.png'
Example
Then, it is quite simple:
try: mss = MSS() # One screen shot per monitor for filename in mss.save(): print('File "{0}" created.'.format(filename)) # A shot to grab them all :) for filename in mss.save(oneshot=True): print('File "{0}" created.'.format(filename)) except Exception as ex: print(ex) raise
Bonus
Just for fun … Show us your screen shot with all monitors in one file, we will update the gallery.
Link to the galley: https://tiger-222.fr/tout/python-mss/galerie/
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file mss-0.0.3.tar.gz
.
File metadata
- Download URL: mss-0.0.3.tar.gz
- Upload date:
- Size: 8.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f20a95f8fe12b2c7e42071fab67122cb9cf9316c8aeca3f4367eb2fc83ff1791 |
|
MD5 | 126313a33ad92caebf183ebbce40b8b0 |
|
BLAKE2b-256 | c43b0d42ed31791fa9dac5367ec4247c9b290196a9482950ffea7c99cd80804c |