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Updated to latest coding conventions

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PySimpleGUI 2020-05-07 05:49:44 -04:00
parent 47e594e6de
commit 6174b355a6
1 changed files with 28 additions and 47 deletions
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75
DemoPrograms/Demo_OpenCV_Simple_GUI.py
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@ -9,8 +9,6 @@ Demo program that displays a webcam using OpenCV and applies some very basic ima
none: no processing none: no processing
threshold: simple b/w-threshold on the luma channel, slider sets the threshold value threshold: simple b/w-threshold on the luma channel, slider sets the threshold value
canny: edge finding with canny, sliders set the two threshold values for the function => edge sensitivity canny: edge finding with canny, sliders set the two threshold values for the function => edge sensitivity
contour: colour finding in the frame, first slider sets the hue for the colour to find, second the minimum saturation
for the object. Found objects are drawn with a red contour.
blur: simple Gaussian blur, slider sets the sigma, i.e. the amount of blur smear blur: simple Gaussian blur, slider sets the sigma, i.e. the amount of blur smear
hue: moves the image hue values by the amount selected on the slider hue: moves the image hue values by the amount selected on the slider
enhance: applies local contrast enhancement on the luma channel to make the image fancier - slider controls fanciness. enhance: applies local contrast enhancement on the luma channel to make the image fancier - slider controls fanciness.
@ -22,72 +20,55 @@ def main():
# define the window layout # define the window layout
layout = [ layout = [
[sg.Text('OpenCV Demo', size=(40, 1), justification='center')], [sg.Text('OpenCV Demo', size=(60, 1), justification='center')],
[sg.Image(filename='', key='image')], [sg.Image(filename='', key='-IMAGE-')],
[sg.Radio('None', 'Radio', True, size=(10, 1))], [sg.Radio('None', 'Radio', True, size=(10, 1))],
[sg.Radio('threshold', 'Radio', size=(10, 1), key='thresh'), [sg.Radio('threshold', 'Radio', size=(10, 1), key='-THRESH-'),
sg.Slider((0, 255), 128, 1, orientation='h', size=(40, 15), key='thresh_slider')], sg.Slider((0, 255), 128, 1, orientation='h', size=(40, 15), key='-THRESH SLIDER-')],
[sg.Radio('canny', 'Radio', size=(10, 1), key='canny'), [sg.Radio('canny', 'Radio', size=(10, 1), key='-CANNY-'),
sg.Slider((0, 255), 128, 1, orientation='h', size=(20, 15), key='canny_slider_a'), sg.Slider((0, 255), 128, 1, orientation='h', size=(20, 15), key='-CANNY SLIDER A-'),
sg.Slider((0, 255), 128, 1, orientation='h', size=(20, 15), key='canny_slider_b')], sg.Slider((0, 255), 128, 1, orientation='h', size=(20, 15), key='-CANNY SLIDER B-')],
[sg.Radio('contour', 'Radio', size=(10, 1), key='contour'), [sg.Radio('blur', 'Radio', size=(10, 1), key='-BLUR-'),
sg.Slider((0, 255), 128, 1, orientation='h', size=(20, 15), key='contour_slider'), sg.Slider((1, 11), 1, 1, orientation='h', size=(40, 15), key='-BLUR SLIDER-')],
sg.Slider((0, 255), 80, 1, orientation='h', size=(20, 15), key='base_slider')], [sg.Radio('hue', 'Radio', size=(10, 1), key='-HUE-'),
[sg.Radio('blur', 'Radio', size=(10, 1), key='blur'), sg.Slider((0, 225), 0, 1, orientation='h', size=(40, 15), key='-HUE SLIDER-')],
sg.Slider((1, 11), 1, 1, orientation='h', size=(40, 15), key='blur_slider')], [sg.Radio('enhance', 'Radio', size=(10, 1), key='-ENHANCE-'),
[sg.Radio('hue', 'Radio', size=(10, 1), key='hue'), sg.Slider((1, 255), 128, 1, orientation='h', size=(40, 15), key='-ENHANCE SLIDER-')],
sg.Slider((0, 225), 0, 1, orientation='h', size=(40, 15), key='hue_slider')],
[sg.Radio('enhance', 'Radio', size=(10, 1), key='enhance'),
sg.Slider((1, 255), 128, 1, orientation='h', size=(40, 15), key='enhance_slider')],
[sg.Button('Exit', size=(10, 1))] [sg.Button('Exit', size=(10, 1))]
] ]
# create the window and show it without the plot # create the window and show it without the plot
window = sg.Window('Demo Application - OpenCV Integration', window = sg.Window('OpenCV Integration', layout, location=(800, 400))
layout,
location=(800, 400),
finalize=True)
cap = cv2.VideoCapture(0) cap = cv2.VideoCapture(0)
while True: while True:
event, values = window.read(timeout=0, timeout_key='timeout') event, values = window.read(timeout=20)
if event == 'Exit' or event is None: if event == 'Exit' or event == sg.WIN_CLOSED:
break break
ret, frame = cap.read() ret, frame = cap.read()
if values['thresh']: if values['-THRESH-']:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2LAB)[:, :, 0] frame = cv2.cvtColor(frame, cv2.COLOR_BGR2LAB)[:, :, 0]
frame = cv2.threshold(frame, values['thresh_slider'], 255, cv2.THRESH_BINARY)[1] frame = cv2.threshold(frame, values['-THRESH SLIDER-'], 255, cv2.THRESH_BINARY)[1]
elif values['-CANNY-']:
if values['canny']: frame = cv2.Canny(frame, values['-CANNY SLIDER A-'], values['-CANNY SLIDER B-'])
frame = cv2.Canny(frame, values['canny_slider_a'], values['canny_slider_b']) elif values['-BLUR-']:
frame = cv2.GaussianBlur(frame, (21, 21), values['-BLUR SLIDER-'])
if values['blur']: elif values['-HUE-']:
frame = cv2.GaussianBlur(frame, (21, 21), values['blur_slider'])
if values['hue']:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
frame[:, :, 0] += values['hue_slider'] frame[:, :, 0] += int(values['-HUE SLIDER-'])
frame = cv2.cvtColor(frame, cv2.COLOR_HSV2BGR) frame = cv2.cvtColor(frame, cv2.COLOR_HSV2BGR)
elif values['-ENHANCE-']:
if values['enhance']: enh_val = values['-ENHANCE SLIDER-'] / 40
enh_val = values['enhance_slider'] / 40
clahe = cv2.createCLAHE(clipLimit=enh_val, tileGridSize=(8, 8)) clahe = cv2.createCLAHE(clipLimit=enh_val, tileGridSize=(8, 8))
lab = cv2.cvtColor(frame, cv2.COLOR_BGR2LAB) lab = cv2.cvtColor(frame, cv2.COLOR_BGR2LAB)
lab[:, :, 0] = clahe.apply(lab[:, :, 0]) lab[:, :, 0] = clahe.apply(lab[:, :, 0])
frame = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR) frame = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)
if values['contour']:
hue = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
hue = cv2.GaussianBlur(hue, (21, 21), 1)
hue = cv2.inRange(hue, np.array([values['contour_slider'], values['base_slider'], 40]),
np.array([values['contour_slider'] + 30, 255, 220]))
cnts = cv2.findContours(hue, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[1]
cv2.drawContours(frame, cnts, -1, (0, 0, 255), 2)
imgbytes = cv2.imencode('.png', frame)[1].tobytes() imgbytes = cv2.imencode('.png', frame)[1].tobytes()
window['image'].update(data=imgbytes) window['-IMAGE-'].update(data=imgbytes)
window.close() window.close()