diff --git a/Demo_LED_Indicators.py b/Demo_LED_Indicators.py index 06961874..be9417dd 100644 --- a/Demo_LED_Indicators.py +++ b/Demo_LED_Indicators.py @@ -1,54 +1,51 @@ -#!/usr/bin/env python -import sys - -if sys.version_info[0] >= 3: - import PySimpleGUI as sg -else: - import PySimpleGUI27 as sg -import time -import random - -""" - Demo program showing how to create your own "LED Indicators" - The LEDIndicator function acts like a new Element that is directly placed in a window's layout - After the Window is created, use the SetLED function to access the LED and set the color - -""" - - -def LEDIndicator(key=None, radius=30): - return sg.Graph(canvas_size=(radius, radius), - graph_bottom_left=(-radius, -radius), - graph_top_right=(radius, radius), - pad=(0, 0), key=key) - -def SetLED(window, key, color): - graph = window.FindElement(key) - graph.Erase() - graph.DrawCircle((0, 0), 12, fill_color=color, line_color=color) - - -layout = [[sg.Text('My LED Status Indicators', size=(20,1))], - [sg.Text('CPU Use'), LEDIndicator('_cpu_')], - [sg.Text('RAM'), LEDIndicator('_ram_')], - [sg.Text('Temperature'), LEDIndicator('_temp_')], - [sg.Text('Server 1'), LEDIndicator('_server1_')], - [sg.RButton('Exit')]] - -window = sg.Window('My new window', default_element_size=(12, 1), auto_size_text=False).Layout(layout).Finalize() - -i = 0 -while True: # Event Loop - event, value = window.ReadNonBlocking() - if event == 'Exit': - window.CloseNonBlocking() - break - if value is None: - break - i += 1 - SetLED(window, '_cpu_', 'green' if random.randint(1, 10) > 5 else 'red') - SetLED(window, '_ram_', 'green' if random.randint(1, 10) > 5 else 'red') - SetLED(window, '_temp_', 'green' if random.randint(1, 10) > 5 else 'red') - SetLED(window, '_server1_', 'green' if random.randint(1, 10) > 5 else 'red') - - time.sleep(.400) +#!/usr/bin/env python +import sys + +if sys.version_info[0] >= 3: + import PySimpleGUI as sg +else: + import PySimpleGUI27 as sg +import time +import random + +""" + Demo program showing how to create your own "LED Indicators" + The LEDIndicator function acts like a new Element that is directly placed in a window's layout + After the Window is created, use the SetLED function to access the LED and set the color + +""" + + +def LEDIndicator(key=None, radius=30): + return sg.Graph(canvas_size=(radius, radius), + graph_bottom_left=(-radius, -radius), + graph_top_right=(radius, radius), + pad=(0, 0), key=key) + +def SetLED(window, key, color): + graph = window.FindElement(key) + graph.Erase() + graph.DrawCircle((0, 0), 12, fill_color=color, line_color=color) + + +layout = [[sg.Text('My LED Status Indicators', size=(20,1))], + [sg.Text('CPU Use'), LEDIndicator('_cpu_')], + [sg.Text('RAM'), LEDIndicator('_ram_')], + [sg.Text('Temperature'), LEDIndicator('_temp_')], + [sg.Text('Server 1'), LEDIndicator('_server1_')], + [sg.RButton('Exit')]] + +window = sg.Window('My new window', default_element_size=(12, 1), auto_size_text=False).Layout(layout).Finalize() + +i = 0 +while True: # Event Loop + event, value = window.Read(timeout=400) + if event == 'Exit' or event is None: + break + if value is None: + break + i += 1 + SetLED(window, '_cpu_', 'green' if random.randint(1, 10) > 5 else 'red') + SetLED(window, '_ram_', 'green' if random.randint(1, 10) > 5 else 'red') + SetLED(window, '_temp_', 'green' if random.randint(1, 10) > 5 else 'red') + SetLED(window, '_server1_', 'green' if random.randint(1, 10) > 5 else 'red') diff --git a/Demo_OpenCV_Simple_GUI.py b/Demo_OpenCV_Simple_GUI.py new file mode 100644 index 00000000..ff051d32 --- /dev/null +++ b/Demo_OpenCV_Simple_GUI.py @@ -0,0 +1,76 @@ +import sys +if sys.version_info[0] >= 3: + import PySimpleGUI as sg +else: + import PySimpleGUI27 as sg +import cv2 +import numpy as np +from sys import exit as exit + +""" +Demo program that displays a webcam using OpenCV and applies some very basic image functions + +- functions from top to bottom - +none: no processing +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 +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 +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. +""" +def main(): + + sg.ChangeLookAndFeel('LightGreen') + + # define the window layout + layout = [[sg.Text('OpenCV Demo', size=(40, 1), justification='center')], + [sg.Image(filename='', key='image')], + [sg.Radio('None', 'Radio', True, size=(10, 1))], + [sg.Radio('threshold', 'Radio', size=(10, 1),key='thresh'),sg.Slider((0,255),128,1,orientation='h', size=(40, 15),key='thresh_slider')], + [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_b')], + [sg.Radio('contour', 'Radio', size=(10, 1), key='contour'),sg.Slider((0, 255), 128, 1, orientation='h', size=(20, 15), key='contour_slider'),sg.Slider((0, 255), 80, 1, orientation='h', size=(20, 15), key='base_slider')], + [sg.Radio('blur', 'Radio', size=(10, 1),key='blur'),sg.Slider((1,11),1,1,orientation='h', size=(40, 15),key='blur_slider')], + [sg.Radio('hue', 'Radio', size=(10, 1), key='hue'),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.ReadButton('Exit', size=(10, 1))]] + + # create the window and show it without the plot + window = sg.Window('Demo Application - OpenCV Integration', + location=(800,400)) + window.Layout(layout).Finalize() + + cap = cv2.VideoCapture(0) + while True: + event, values = window.ReadNonBlocking() + if event == 'Exit' or values is None: + sys.exit(0) + ret, frame = cap.read() + if values['thresh']: + frame=cv2.cvtColor(frame,cv2.COLOR_BGR2LAB)[:,:,0] + _,frame=cv2.threshold(frame,values['thresh_slider'],255,cv2.THRESH_BINARY) + if values['canny']: + frame=cv2.Canny(frame,values['canny_slider_a'],values['canny_slider_b']) + if values['blur']: + frame=cv2.GaussianBlur(frame,(21,21),values['blur_slider']) + if values['hue']: + frame=cv2.cvtColor(frame,cv2.COLOR_BGR2HSV) + frame[:,:,0]+=values['hue_slider'] + frame=cv2.cvtColor(frame,cv2.COLOR_HSV2BGR) + if values['enhance']: + enh_val=values['enhance_slider']/40 + clahe=cv2.createCLAHE(clipLimit=enh_val, tileGridSize=(8,8)) + lab=cv2.cvtColor(frame,cv2.COLOR_BGR2LAB) + lab[:,:,0]=clahe.apply(lab[:,:,0]) + 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) + cv2.drawContours(frame,cnts,-1,(0,0,255),2) + imgbytes=cv2.imencode('.png', frame)[1].tobytes() #ditto + window.FindElement('image').Update(data=imgbytes) + +main()