Merge pull request #1813 from PySimpleGUI/Dev-latest
New Demo Program - Show an ASCII animation using your webcam & OpenCV
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from PIL import Image
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import numpy as np
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import PySimpleGUI as sg; font_size=6
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# import PySimpleGUIQt as sg; font_size=8 # if using, be sure and use the second layout that is commented out
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# import PySimpleGUIWeb as sg; font_size=12 # yes, it runs in a webpage too!
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import cv2
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"""
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Interesting program that shows your webcam's image as ASCII text. Runs in realtime, producing a stream of
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images so that it is actually animated ASCII text. Wild stuff that came about from a post on Reddit of all
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places. The software bits that turn the image into ASCII text were shamelessly taken from this gist:
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https://gist.github.com/cdiener/10491632
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Brilliant work to have pulled off so much with so little Numpy
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What's remarkable about this program is that the animation is created by updating individual Text Elements going
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down the window, one line at a time, every time through the loop. That's 48 lines of text every time. Rough
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timing shows an animation of more than 10 fps when running any of the PySimpleGUI ports.
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"""
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# The magic bits that make the ASCII stuff work shamelessly taken from https://gist.github.com/cdiener/10491632
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chars = np.asarray(list(' .,:;irsXA253hMHGS#9B&@'))
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SC, GCF, WCF = .1, 1, 7/4
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sg.ChangeLookAndFeel('Black') # make it look cool
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# define the window layout
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NUM_LINES = 48 # number of lines of text elements. Depends on cameras image size and the variable SC (scaller)
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layout = [*[[sg.T(i,size=(120,1), font=('Courier', font_size), key='_OUT_'+str(i))] for i in range(NUM_LINES)],
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[ sg.Button('Exit')]]
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# if using PySimpleGUIQt, use this layout instead. The text rows are too far apart otherwise.
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# layout = [*[[sg.T(i, size_px=(800,12), font=('Courier', font_size), key='_OUT_'+str(i))] for i in range(NUM_LINES)],
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# [ sg.Button('Exit')]]
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# create the window and show it without the plot
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window = sg.Window('Demo Application - OpenCV Integration', layout, location=(800,400),
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no_titlebar=True, grab_anywhere=True, element_padding=(0,0))
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# ---===--- Event LOOP Read and display frames, operate the GUI --- #
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cap = cv2.VideoCapture(0) # Setup the OpenCV capture device (webcam)
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while True:
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event, values = window.Read(timeout=0)
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if event in ('Exit', None):
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break
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ret, frame = cap.read() # Read image from capture device (camera)
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img = Image.fromarray(frame) # create PIL image from frame
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# More magic that coverts the image to ascii
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S = (round(img.size[0] * SC * WCF), round(img.size[1] * SC))
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img = np.sum(np.asarray(img.resize(S)), axis=2)
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img -= img.min()
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img = (1.0 - img / img.max()) ** GCF * (chars.size - 1)
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# "Draw" the image in the window, one line of text at a time!
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for i, r in enumerate(chars[img.astype(int)]):
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window.Element('_OUT_'+str(i)).Update("".join(r))
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window.Close()
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