82 lines
3.1 KiB
Python
82 lines
3.1 KiB
Python
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import tkinter
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import cv2
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from PIL import Image
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import numpy as np
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import PySimpleGUI as sg
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font_size = 4
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USING_QT = False
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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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Also added onto this are a spinner and a slider. They do essentially the same thing, enable a pair of parameters
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to be modified on the fly.
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You need PySimpleGUI installed as well as OpenCV. Both are easily installed via pip:
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pip install PySimpleGUI
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pip install opencv-python
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On Linux / Mac use pip3 instead of pip
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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.change_look_and_feel('Black') # make it look cool
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# define the window layout
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# number of lines of text elements. Depends on cameras image size and the variable SC (scaller)
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NUM_LINES = 65
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if USING_QT:
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layout = [[sg.Text(i, size_px=(800, 12),
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font=('Courier', font_size),
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key='-OUT-' + str(i))] for i in range(NUM_LINES)]
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else:
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layout = [[sg.Text(i, size=(120, 1), font=('Courier', font_size),
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pad=(0, 0), key='-OUT-'+str(i))] for i in range(NUM_LINES)]
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layout += [[sg.Button('Exit', size=(5, 1)),
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sg.Text('GCF', size=(4, 1)),
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sg.Spin([round(i, 2) for i in np.arange(0.1, 20.0, 0.1)],
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initial_value=1, key='-SPIN-GCF-', size=(5, 1)),
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sg.Text('WCF', size=(4, 1)),
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sg.Slider((1, 4), resolution=.05, default_value=1.75,
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orientation='h', key='-SLIDER-WCF-', size=(15, 15))]]
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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,
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location=(0,0), font='Any 10')
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# ---===--- Event LOOP Read and display frames, operate the GUI --- #
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# Setup the OpenCV capture device (webcam)
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cap = cv2.VideoCapture(0)
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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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# Read image from capture device (camera)
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ret, frame = cap.read()
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img = Image.fromarray(frame) # create PIL image from frame
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GCF = float(values['-SPIN-GCF-'])
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WCF = values['-SLIDER-WCF-']
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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['-OUT-'+str(i)].update("".join(r))
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window.close()
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