New Demo Programs folder for PyDroid3 programs

DemoPrograms/PyDroid3/Demo_OpenCV_Webcam_ASCII.py

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+import tkinter
+import cv2
+from PIL import Image
+import numpy as np
+import PySimpleGUI as sg
+font_size = 4
+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.change_look_and_feel('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 = 65
+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=(0,0), font='Any 10')
+
+# ---===--- 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()