81 lines
3.3 KiB
Python
81 lines
3.3 KiB
Python
import cv2
|
|
from PIL import Image
|
|
import numpy as np
|
|
import PySimpleGUI as sg
|
|
font_size = 6
|
|
USING_QT = False
|
|
|
|
"""
|
|
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.
|
|
Also added onto this are a spinner and a slider. They do essentially the same thing, enable a pair of parameters
|
|
to be modified on the fly.
|
|
|
|
You need PySimpleGUI installed as well as OpenCV. Both are easily installed via pip:
|
|
pip install PySimpleGUI
|
|
pip install opencv-python
|
|
|
|
On Linux / Mac use pip3 instead of pip
|
|
"""
|
|
|
|
# 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.theme('Black') # make it look cool
|
|
|
|
# define the window layout
|
|
# number of lines of text elements. Depends on cameras image size and the variable SC (scaller)
|
|
NUM_LINES = 48
|
|
if USING_QT:
|
|
layout = [[sg.Text(i, size_px=(800, 12),
|
|
font=('Courier', font_size),
|
|
key='-OUT-' + str(i))] for i in range(NUM_LINES)]
|
|
else:
|
|
layout = [[sg.Text(i, size=(120, 1), font=('Courier', font_size),
|
|
pad=(0, 0), key='-OUT-'+str(i))] for i in range(NUM_LINES)]
|
|
|
|
layout += [[sg.Button('Exit', size=(5, 1)),
|
|
sg.Text('GCF', size=(4, 1)),
|
|
sg.Spin([round(i, 2) for i in np.arange(0.1, 20.0, 0.1)],
|
|
initial_value=1, key='-SPIN-GCF-', size=(5, 1)),
|
|
sg.Text('WCF', size=(4, 1)),
|
|
sg.Slider((1, 4), resolution=.05, default_value=1.75,
|
|
orientation='h', key='-SLIDER-WCF-', size=(15, 15))]]
|
|
|
|
# create the window and show it without the plot
|
|
window = sg.Window('Demo Application - OpenCV Integration', layout,
|
|
location=(800, 400), font='Any 18')
|
|
|
|
# ---===--- Event LOOP Read and display frames, operate the GUI --- #
|
|
# Setup the OpenCV capture device (webcam)
|
|
cap = cv2.VideoCapture(0)
|
|
while True:
|
|
|
|
event, values = window.read(timeout=0)
|
|
if event in ('Exit', None):
|
|
break
|
|
# Read image from capture device (camera)
|
|
ret, frame = cap.read()
|
|
|
|
img = Image.fromarray(frame) # create PIL image from frame
|
|
GCF = float(values['-SPIN-GCF-'])
|
|
WCF = values['-SLIDER-WCF-']
|
|
# 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['-OUT-'+str(i)].update("".join(r))
|
|
|
|
window.close()
|