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Description:

augmented 2.4.1

augmented
Ar python is a cross platform module used to do augmented reality using python
Requirements

opencv-contrib-python
Numpy

requirements may vary on diffrent operating systems

instalation
pip install augmented
Thats it
How to use
Overlaying images
initializing

import augmented
ar = augmented.ar_overlay(capture:int)#capture = camera number
ar.setup(targetImage: str, overlayImage: str, nfeatures: int, debug: bool=True, confidence: int=25, displayName: str="Augmented by sarang")

targetImage = Image to overlay on top of

overlayImage =Image to overlay

Not required but can tweak the ones below

nfeatures = Features to detect on target image the bigger the more accurate and the more resource intensive 1000 recomended

debug = debug mode

confidence = How many feature matches to confirm

displayname = title name```

Overlaying
ar.start(display=bool)

display = Enabling display output

Aruco scanning
setup
import augmented
arucoar = augmented.arucoar(cap:int=0)
imgAug = {0: 'assets/unnamed.jpg'}
arucoar.setup(imgAug: dict, markerSize: int = 6, totalMarkers: int = 250, debug: bool = True, cam: int = 0, displayName: str = 'Augmented by Sarang')

imgAug = a dict containing the aruco id as value and the image(location) to display when the value is True

not neccessry but still can tweak

Markersize, totalMarkers = aruco code properties

debug = to use debug mode

cam = camera number

displayName = tite of the display window

Scanning and overlaying
arucoar.start(display=bool)

display = wheather to display the output or not

recomended way of using is to put the code inside a loop

version - 2.1.0Stable
contributions are appreciated and will be credited in the package
Thank you
Happy augmenting
First release