python-mss | ultra fast cross-platform multiple screenshots module

by BoboTiG Python Version: v9.0.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | python-mss Summary

python-mss is a Python library typically used in User Interface applications. python-mss has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However python-mss build file is not available. You can install using 'pip install python-mss' or download it from GitHub, PyPI.

An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.

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Quality

Security

License

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Support

python-mss has a highly active ecosystem.

It has 831 star(s) with 78 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 34 open issues and 94 have been closed. On average issues are closed in 209 days. There are 1 open pull requests and 0 closed requests.

It has a negative sentiment in the developer community.

The latest version of python-mss is v9.0.1

Quality

python-mss has 0 bugs and 0 code smells.

Security

python-mss has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-mss code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-mss is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

python-mss releases are available to install and integrate.

Deployable package is available in PyPI.

python-mss has no build file. You will be need to create the build yourself to build the component from source.

python-mss saves you 799 person hours of effort in developing the same functionality from scratch.

It has 1836 lines of code, 140 functions and 40 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed python-mss and discovered the below as its top functions. This is intended to give you an instant insight into python-mss implemented functionality, and help decide if they suit your requirements.

Parse command line arguments .
Grab a screen shot .
Convert data to PNG .
Initialize the ScreenShot .
Instantiate a new MSS instance .
Record the FPS of the screen .
Compute the screen record efficiency
Return the RGB representation of the image .
Handle an error .
Check if file exists .

Get all kandi verified functions for this library.

python-mss Key Features

No Key Features are available at this moment for python-mss.

python-mss Examples and Code Snippets

No Code Snippets are available at this moment for python-mss.

Community Discussions

Trending Discussions on python-mss

how to capture the mouse pointer in screenshot

Python base64 in HTML - broken image

Fixing inefficient image conversion from PIL image to OpenCV Mat

QUESTION

how to capture the mouse pointer in screenshot

Asked 2020-Jun-26 at 14:42

I use the python-mss to capture the screenshot and use these screenshot with opencv to generate a video recording. As I want to capture the mouse movement in the video. But it seems that the mouse pointer can not be captured in snapshot. How can I capture the mouse pointer with python-mss?

Thanks in advance if anyone can help.

...

ANSWER

Answered 2020-Jun-26 at 14:42

There is an opened issue for that: #55. You can find some clues in the comments.

Source https://stackoverflow.com/questions/62586331

QUESTION

Python base64 in HTML - broken image

Asked 2020-Feb-29 at 16:47

I try to do:

take screenshot using python-mss
resize and then convert to base64
using JS load by ajax using python-flask request handler and paste the result to src attribute in img tag like data:image/png;base64,{{base64}}

HTML result:

get_base64_screenshot.py

...

ANSWER

Answered 2020-Feb-29 at 16:39

You are encoding the raw cv2 image data as base64, which your web browser won't understand. You need to encode the raw image data to jpg and then encode it.

Source https://stackoverflow.com/questions/60467123

QUESTION

Fixing inefficient image conversion from PIL image to OpenCV Mat

Asked 2020-Feb-09 at 13:33

I'm running a neural network on a live stream of screenshots 800x600 in size. Since I was only getting about 3fps, I did some troubleshooting and found out how much time is approximately spent on each step:

Screenshot: 12ms
Image processing: 280ms
Object detection and box visualisation: 16ms
Displaying image: 0.5ms

I'm using mss for taking the screenshots (documentation).

Here's the code without the object detection part:

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ANSWER

Answered 2020-Feb-08 at 21:37

With 280ms of processing per frame, you are going to get 3-4 frames/sec. You pretty much only have 2 choices.

Either share your code and hope we can improve it.

Or, use multiprocessing with, say 4 CPU cores, and give the first frame to the first core, the second to the second and so on, round-robin, and you can maybe get a frame out every 70ms, leading to 14 fps.

Source https://stackoverflow.com/questions/60127473

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install python-mss

You can install using 'pip install python-mss' or download it from GitHub, PyPI.
You can use python-mss like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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