I wrote a program in Python which pulls values from Arduino. However, when I have the GUI window up, Python can’t read the values from Arduino, and nothing happens on the GUI window. If I remove the code containing the GUI window, the program works and can pull the values from Arduino. Does anyone know why this is happening?
import serial # 引用pySerial模組
from os import close
from tkinter.font import Font
#from bluetooth.widcomm import stop_advertising
import cv2
import numpy as np
from tkinter import*
from tkinter.constants import BOTTOM
#from typing import Text#假設tk=tkinter
import tkinter
from PIL import Image, ImageTk
COM_PORT = 'COM7' # 指定通訊埠名稱
BAUD_RATES = 9600 # 設定傳輸速率
ser = serial.Serial(COM_PORT, BAUD_RATES) # 初始化序列通訊埠
while True:
win=Tk()#建立視窗
win.title("點餐系統")#標題
win.geometry("1540x1050")#寬X高
win.maxsize(width=1520,height=1050)
img1=PhotoImage(file="D:\PYTHON\PROJECT\大麥克.png")
img2=PhotoImage(file="D:\PYTHON\PROJECT\勁辣雞腿堡.png")
img3=PhotoImage(file="D:\PYTHON\PROJECT\雙層吉事堡.png")
img4=PhotoImage(file="D:\PYTHON\PROJECT\蕈菇黑牛堡.png")
print('aaa')
a='aaa'
btn=Button(text="雙層吉事堡")
btn.config(width=400,height=300)
btn.config(image=img3)
btn.place(x=300,y=480)
lb3=Label(fg="black",text="三號餐",font='30')
lb3.place(x=475,y=450)
while ser.in_waiting: # 若收到序列資料…
data_raw= ser.readline() # 讀取一行
data= data_raw.decode() # 用預設的UTF-8解碼
print('接收到的原始資料：', data_raw)
print('接收到的資料：', data)
if(bytes(data)=="solar1low"):
print('接收到的原始資料：', data_raw)
print('接收到的資料：', data)
win.destroy()#關閉舊視窗
win2=Tk()
win2.title("點餐系統")
win2.geometry("1540x1050")
image3=Image.open("D:\PYTHON\PROJECT\雙層吉事堡.png")
雙層吉事堡=ImageTk.PhotoImage (image3)
labelnext1=tkinter.Label(image=雙層吉事堡)
labelnext1.image=雙層吉事堡
labelnext1.config(width=650,height=650)
labelnext1.place(x=450,y=100)
btnnext1=Button(win2,text="確認餐點",fg='black',font='500',)
btnnext1.place(x=1400,y=700)
btnnext2=Button(win2,text="取消",fg='black',font='500')
btnnext2.place(x=1300,y=700)
lbnext2=Label(win2,fg="black",text="三號餐 100元",font='30')
lbnext2.place(x=700,y=50)
win2.mainloop()#常駐主視窗
win.mainloop()#常駐主視窗
This is what the code should look like:
import serial # 引用pySerial模組
from os import close
from tkinter.font import Font
#from bluetooth.widcomm import stop_advertising
import cv2
import numpy as np
from tkinter import*
from tkinter.constants import BOTTOM
#from typing import Text#假設tk=tkinter
import tkinter
from PIL import Image, ImageTk
COM_PORT = 'COM7' # 指定通訊埠名稱
BAUD_RATES = 9600 # 設定傳輸速率
ser = serial.Serial(COM_PORT, BAUD_RATES) # 初始化序列通訊埠
while True:
win=Tk()#建立視窗
win.title("點餐系統")#標題
win.geometry("1540x1050")#寬X高
win.maxsize(width=1520,height=1050)
img1=PhotoImage(file="D:\PYTHON\PROJECT\大麥克.png")
img2=PhotoImage(file="D:\PYTHON\PROJECT\勁辣雞腿堡.png")
img3=PhotoImage(file="D:\PYTHON\PROJECT\雙層吉事堡.png")
img4=PhotoImage(file="D:\PYTHON\PROJECT\蕈菇黑牛堡.png")
print('aaa')
a='aaa'
btn=Button(text="雙層吉事堡")
btn.config(width=400,height=300)
btn.config(image=img3)
btn.place(x=300,y=480)
lb3=Label(fg="black",text="三號餐",font='30')
lb3.place(x=475,y=450)
while ser.in_waiting: # 若收到序列資料…
data_raw= ser.readline() # 讀取一行
data= data_raw.decode() # 用預設的UTF-8解碼
print('接收到的原始資料：', data_raw)
print('接收到的資料：', data)
if(bytes(data)=="solar1low"):
print('接收到的原始資料：', data_raw)
print('接收到的資料：', data)
win.destroy()#關閉舊視窗
win2=Tk()
win2.title("點餐系統")
win2.geometry("1540x1050")
image3=Image.open("D:\PYTHON\PROJECT\雙層吉事堡.png")
雙層吉事堡=ImageTk.PhotoImage (image3)
labelnext1=tkinter.Label(image=雙層吉事堡)
labelnext1.image=雙層吉事堡
labelnext1.config(width=650,height=650)
labelnext1.place(x=450,y=100)
btnnext1=Button(win2,text="確認餐點",fg='black',font='500',)
btnnext1.place(x=1400,y=700)
btnnext2=Button(win2,text="取消",fg='black',font='500')
btnnext2.place(x=1300,y=700)
lbnext2=Label(win2,fg="black",text="三號餐 100元",font='30')
lbnext2.place(x=700,y=50)
win2.mainloop()#常駐主視窗
win.update()
Notice how at the end I call win.update() instead of win.mainloop(). Running win.update() simply updates the window, and then moves on. Calling win.mainloop() blocks your code from running until the window is closed.
If you are still having trouble, try repacing win2.mainloop() with win2.update() as well.
Related
I'm having trouble decoding an image when I import it from another file.
I have four .py files to make two buttons.
In the first, on line 21, the button works and brings the image, in the second, on line 28, which is imported from another file, it appears as a button but without an image. How can I resolve this?
lab.py
import tkinter as tk
import base64
from imagens import *
from cores import *
from widgets import *
class Janela(Images):
def __init__(self) -> None:
self.images_base64()
self.tamJanela()
def tamJanela(self):
self.janela_doMenu = tk.Tk()
janela = self.janela_doMenu
# janela.state('zoomed')
janela.title('Disk Gás Gonçalves')
janela.configure(background=preto_claro)
janela.geometry("%dx%d" % (janela.winfo_screenwidth(), janela.winfo_screenheight()))
# Here the code works ###############################################################
self.img_icoName = tk.PhotoImage(data=base64.b64decode(self.editUser))
self.rotulo_nome2 = tk.Button(master=janela, image=self.img_icoName, activebackground='#00FA9A', bg='#4F4F4F',
highlightbackground='#4F4F4F', highlightcolor='#4F4F4F')
self.rotulo_nome2.grid(row=0, column=0)
# Here the code does not work #######################################################
# I'm importing from widgets.py #####################################################
Botoes(janela)
janela.minsize(1200, 640)
janela.mainloop()
Janela()
widgets.py
import tkinter as tk
import base64
from imagens import *
from cores import *
class Botoes(Images):
def __init__(self, local) -> None:
self.images_base64()
self.local = local
self.bt()
def bt(self):
self.img_icoName = tk.PhotoImage(data=base64.b64decode(self.editUser))
self.rotulo_nome2 = tk.Button(master=self.local, image=self.img_icoName, activebackground='#00FA9A', bg='#4F4F4F',
highlightbackground='#4F4F4F', highlightcolor='#4F4F4F')
self.rotulo_nome2.grid(row=1, column=0)
cores.py
preto_claro = '#4F4F4F'
verde_médio = '#00FA9A'
vermelho_salmão = '#FA8072'
azul_seleção = '#F0FFFF'
verde_limão = '#00FF00'
branco_gelo = '#EDEBE6'
imagens.py
import base64
class Images:
def images_base64(self):
self.addUser = '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'
self.editUser = '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'
I tried to create a button by importing the base64 image from another file.
There are two buttons in the application, one works and the image appears, the other does not work and the image does not appear. I would like to make the second one work.
All the code will generate this image. The bottom button that doesn't show the image is in the widgets.py file
I don't know why, but when I import it, it doesn't work.
Thank you in advance for your attention and I apologize if something was wrong or out of standard, my English is not very good.
It is because there is no variable referencing the instance of Botoes(), so it will be garbage collected (so as the image inside it).
Just use a variable to store the instance of Botoes():
class Janela(Images):
def __init__(self) -> None:
self.images_base64()
self.tamJanela()
def tamJanela(self):
self.janela_doMenu = tk.Tk()
janela = self.janela_doMenu
# janela.state('zoomed')
janela.title('Disk Gás Gonçalves')
janela.configure(background=preto_claro)
janela.geometry("%dx%d" % (janela.winfo_screenwidth(), janela.winfo_screenheight()))
# Here the code works ###############################################################
self.img_icoName = tk.PhotoImage(data=base64.b64decode(self.editUser))
self.rotulo_nome2 = tk.Button(master=janela, image=self.img_icoName, activebackground='#00FA9A', bg='#4F4F4F',
highlightbackground='#4F4F4F', highlightcolor='#4F4F4F')
self.rotulo_nome2.grid(row=0, column=0)
# need a variable to store the instance of Botoes
# to avoid garbage collection
botoes = Botoes(janela)
janela.minsize(1200, 640)
janela.mainloop()
Result:
I'm fairly new to Python although I do have some understanding of programming.
I am currently using Python 3 on a Raspberry Pi with an LCD display connected to it.
I can output to the display using the PIL library and the examples that came with the display.
What I am trying to do is display a value that updates over a period of time.
To break this down I created a while loop that displays a number, sleeps for 3 seconds, increments the number and then runs back through the loop checking the integer is not greater than 10.
However, the screen never updates the integer. To make sure it’s incrementing and testing correctly I put a print statement to the console and can see it incrementing.
I'm assuming it’s something to do with the while loop not refreshing the display but can't figure it out. Sample code below. Any help appreciated.
#!/usr/bin/python
# -*- coding: UTF-8 -*-
#import chardet
import os
import sys
import time
import logging
import spidev as SPI
sys.path.append("..")
from lib import LCD_2inch4
from PIL import Image,ImageDraw,ImageFont
# Raspberry Pi pin configuration:
RST = 27
DC = 25
BL = 18
bus = 0
device = 0
i = 0
logging.basicConfig(level=logging.DEBUG)
try:
# display with hardware SPI:
disp = LCD_2inch4.LCD_2inch4()
# Initialize library.
disp.Init()
# Clear display.
disp.clear()
# Create blank image for drawing.
image1 = Image.new("RGB", (disp.width, disp.height ), "WHITE")
draw = ImageDraw.Draw(image1)
logging.info("draw point")
while i <10:
test_var = "some text"
draw.rectangle([(0,65),(140,100)],fill = "WHITE")
draw.text((5, 68), test_var, fill = "BLACK")
draw.text((5,150), str(i), fill = "BLACK")
draw = ImageDraw.Draw(image1)
image1=image1.rotate(0)
disp.ShowImage(image1)
time.sleep(3)
i= i+1
print(i)
disp.clear()
disp.module_exit()
logging.info("quit:")
except IOError as e:
logging.info(e)
except KeyboardInterrupt:
disp.module_exit()
logging.info("quit:")
exit()
I want to monitor one area but after converting it doesn't work.
There is no message when I used cmd to find some error.
when I start it, it just blink few minutes and then black out.
It work well in python.
please help.
here is the code.
import multiprocessing
from re import A
from PIL import Image
import pytesseract
import time
import threading
from PIL import ImageGrab
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract'
import pyautogui
import keyboard
import winsound
from multiprocessing import Process
def screenshot():
pyautogui.screenshot("C:\\Users\\youngseb\\Desktop\\screenshot1.png", region = region1)
img1 = Image.open("C:\\Users\\youngseb\\Desktop\\screenshot1.png")
A1 = pytesseract.image_to_string(img1,lang='kor+eng')
#print(T)
strings = A1.split()
print(strings)
time.sleep(5)
pyautogui.screenshot("C:\\Users\\youngseb\\Desktop\\screenshot1.png", region = region1)
img1 = Image.open("C:\\Users\\youngseb\\Desktop\\screenshot1.png")
A2 = pytesseract.image_to_string(img1,lang='kor+eng')
strings = A2.split()
print(strings)
if (A1 == A2):
winsound.Beep(2000,500)
print("ERROR")
else :
time.sleep(0.5)
threading.Timer(5, screenshot).start()
if __name__ == '__main__' :
P1 = Process(target=screenshot)
P1.start()
P1.join()
region1 = (572,333,35,15)
so I'm trying to read out text from MS Teams and use that text to make inputs on the keyboard.
Right now, I work with the threading module to have one thread for the input and one thread for the image_to_string. Following is the function for the image_to_string.
def imToString():
global message
print("Image getting read")
pytesseract.pytesseract.tesseract_cmd ='C:\\Users\\gornicec\\AppData\\Local\\Programs\\Tesseract-OCR\\tesseract.exe'
while(True):
print("preIMGgrab")
cap = ImageGrab.grab(bbox=(177, 850, 283, 881))
grayCap = cv2.cvtColor(np.array(cap), cv2.COLOR_BGR2GRAY)
print("postIMGgrab")
t = time.perf_counter()
print("preMSG" + str(t))
message = pytesseract.image_to_string(
grayCap,
lang ='deu',config='--psm 6')
print(str(message) + "was read" + str(time.perf_counter() - t))
I don't know how but it takes about 8 seconds to read an image thats 1000 pixels big. I need this to be at highest 2 seconds. I'll add the whole code at the end. If there is any way to make it faster or to do it differently please tell me so.
WHOLE CODE:
import numpy as np
import time
import pytesseract
from win32gui import GetWindowText, GetForegroundWindow
import win32api
import cv2
import pyautogui
from PIL import ImageGrab
import threading
from ahk import AHK
import keyboard
message = ""
ahk = AHK(executable_path='C:\\Program Files\\AutoHotkey\\AutoHotkey.exe')
def Controls():
global message
while True:
booleanVal = True
if booleanVal:
#imToString()
print("message")
#print("rechts" in message.lower())
#print(f'LÄNGE: {len(message)}')
if "vorne" in message.lower():
# Control(message, 'w')
ahk.key_press('w')
#message = ""
if "hinten" in message.lower():
# Control(message, 's')
ahk.key_press('s')
#message = ""
if "links" in message.lower():
# Control(message, 'a')
ahk.key_press('a')
#message = ""
if "rechts" in message.lower():
# Control(message, 'd')
#print("HAHAHA")
ahk.key_press('d')
#message = ""
if "greif" in message.lower():
ahk.key_press('space')
#message = ""
time.sleep(0.5)
#IMGTOSTRING---
controls = threading.Thread(target=Controls)
controls.start()
grab = threading.Thread(target=imToString)
grab.start()
pytesseract is not suit for large amount of images or images that are already in memory, its write them to a file and then pass the file path to tesseract cli, if you want to improve the performance of you script try using library that works directly with tesseract api.
like this: https://pypi.org/project/tess-py-api/
I have a problem using busio and CircuitPython modules.
Example code-
import time
import busio
import board
import adafruit_amg88xx
i2c_bus = busio.I2C(board.SCL, board.SDA)
amg = adafruit_amg88xx.AMG88XX(i2c_bus)
while True:
for row in amg.pixels:
#pad to 1 decimal place
print(['{0:.1f}'.format(temp) for temp in row])
print("")
print("\n")
time.sleep(1)