![]() ![]() # will make it range between 0 & 255 (something we can relate better with # the next line is not compulsory however, a grey scale pixel # car_image = imread("car.png", as_gray=True) # car image -> grayscale image -> binary imageĬar_image = imread("./output/frame%d.jpg"%(count-1), as_gray=True)Ĭar_image = imutils.rotate(car_image, 270) Installed Libraries from skimage.io import imreadįrom skimage.filters import threshold_otsuĬomplete Source Code from skimage.io import imreadĬv2.imwrite("./output/frame%d.jpg" % count, frame) Last, run the project with the command “ py main.py” Next, import the source code you’ve download to your P圜harm IDE. Step 2: Import the project to your P圜harm IDE.Step 1: Download the given source code below.įirst, download the given source code below and unzip the source code.These are the steps on how to run Real-Time Plate Number Detection OpenCV Python With Source Code
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