Skip to main content

A Python high-performance screenshot library for Windows 10+ using Direct3D11CaptureFramePool.

Project description

wincam

A fast screen capture library for python on Windows 10 and above (x64 platform only).

from wincam import DXCamera

with DXCamera(x, y, w, h, fps=30) as camera:
    while True:
        frame, timestamp = camera.get_bgr_frame()

Introduction

When you need to capture video frames fast to get a nice smooth 30 or 60 fps video this library will do it, so long as you are on Windows 10.0.19041.0 or newer.

This is using a new Windows 10 API called Direct3D11CaptureFramePool which requires DirectX 11 and a GPU.

To get the fastest time possible, this library is implemented in C++ and the C++ library copies each frame directly into a buffer provided by the python code. This C++ library is loaded into your python process. Only one instance of DXCamera can be used per python process.

Installation

pip install wincam

Note: OpenCV is required for color space conversion.

Multiple Monitors

This supports multiple monitors. Windows can define negative X, and Y locations when a monitor is to the left or above the primary monitor. The DXCamera will find and capture the appropriate monitor from the x, y locations you provide and it will crop the image to the bounds you provide.

The DXCamera does not support regions that span more than one monitor and it will report an error if you try.

Examples

The following example scripts are provided in this repo.

  • examples/mirror.py - shows the captured frames in real time so you can see how it is performing on your machine. Have some fun with infinite frames with frames! Press ESCAPE to close the window.

  • examples/video.py - records an .mp4 video to disk.

In each example can specify what to record using:

  • --x, --y, --width, --height, in screen coordinates
  • --hwnd, a native win32 window handle (which you can find using the inspect tool that comes with the windows SDK)
  • --process, a win32 process id
  • --point, an x,y screen location from which to find the window that you want to record.

Performance

Each call to camera.get_bgr_frame() can be as fast as 1 millisecond because the C++ code is asynchronously writing to the buffer provided. This way your python code is not blocking waiting for that frame. For this reason it is crucial that you use DXCamera in a with block as shown above since this ensures the life time of the python buffer used by the C++ code is managed correctly. If you cannot use a with block for some reason then you must call the stop() method.

In order to hit a smooth target frame rate while recording video the DXCamera takes a target fps as input, which defaults to 30 frames per second. The calls to camera.get_bgr_frame() will self regulate with an accurate sleep to hit that target as closely as possible so that the frames you collect form a nice smooth video as shown in the video.py example.

Note that this sleep is more accurate that python time.sleep() which on Windows is very inaccurate with a tolerance of +/- 15 milliseconds!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wincam-0.0.1.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

wincam-0.0.1-py3-none-any.whl (4.3 MB view details)

Uploaded Python 3

File details

Details for the file wincam-0.0.1.tar.gz.

File metadata

  • Download URL: wincam-0.0.1.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for wincam-0.0.1.tar.gz
Algorithm Hash digest
SHA256 7407bb28f851ba620bfe9fef5209a440c644419437468bee2efb54604cdb7153
MD5 5481c478c8551194f86ddb85df8fd4c5
BLAKE2b-256 aec9189b8f78321ff6081bc306b2c6fb8d6f08cf91b94611646e5c3fa213069f

See more details on using hashes here.

File details

Details for the file wincam-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: wincam-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for wincam-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2c6b2a3e7701f8beee3dbde6b6f9c0270032218a1c62c2f1a1b77bc33e692243
MD5 108505cd85c0eb8b5e64681d47aa62e4
BLAKE2b-256 b94ed1e1e08a341d26127e1e140b26642cec388731744ed95302f7dc0ce4ef41

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page