https://github.com/priler/aicapturebase
Basic code template to start your new AI detection/processing project with real-time image capturing (i.e. of a game window).
https://github.com/priler/aicapturebase
Last synced: 3 months ago
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Basic code template to start your new AI detection/processing project with real-time image capturing (i.e. of a game window).
- Host: GitHub
- URL: https://github.com/priler/aicapturebase
- Owner: Priler
- License: mit
- Created: 2023-01-26T10:01:28.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2025-09-19T23:33:27.000Z (9 months ago)
- Last Synced: 2025-10-09T12:04:59.360Z (8 months ago)
- Language: Python
- Homepage:
- Size: 19.5 KB
- Stars: 23
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# AI Capture Basic Template
Basic code template to start your new AI detection/processing project with real-time image capturing (i.e. of a game window).
## Supports different capture backends:
- d3dshot
- dxcam
- dxcam (capture mode)
- mss
- screengear
- win32
- obs _(via virtual camera)_
## Mouse control libraries included
- pyAutoGui
- pyDirectInput
- pynput
- win32
## Other
- Windmouse algorithm included (realistic mouse movement simulation)
- Benchmarks class
- NMS stuff
- CV2 utils
- etc utils
## Not done yet
There's a 2 and more PCs streaming code included (client only).
That lets you run application/game on first PC, and do inference etc on another.