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