python - 如何在 tkinter 中使用另一个 pyton 项目启动项目?
问题描述
我是 tkinter 的新手。我有一个实时情绪检测项目。我从另一个 .py 文件调用,它们都在同一个文件中。视频捕获部分在 test.py 中定义 cap,我调用 cap 方法并添加按钮.但是当我首先运行项目视频捕获工作时,当我关闭视频捕获修补程序窗口时,当我单击按钮时,它不起作用。我的代码错在哪里?我希望出现第一个 tkinter 窗口,当我单击按钮时,它开始视频捕获。我应该怎么办 ?
from tkinter import *
from test import cap
root = Tk()
root.title('Emotion Detection')
root.iconbitmap(r'C:\Users\Doğukan\OneDrive\Masaüstü\ED\icon.ico')
root.geometry("500x300")
def run():
return cap
myButton = Button(root, text="calistir",command=run(), padx=50)
myButton.pack(pady=20)
root.mainloop()
测试.py
from keras.models import load_model
from time import sleep
from keras.preprocessing.image import img_to_array
from keras.preprocessing import image
import cv2
import numpy as np
face_classifier = cv2.CascadeClassifier('./haarcascade_frontalface_default.xml')
classifier =load_model('./Emotion_Detection.h5')
class_labels = ['Sinirli','Mutlu','Dogal','Uzgun','Saskin','Korkmus']
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
labels = []
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
faces = face_classifier.detectMultiScale(gray,1.3,5)
for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
roi_gray = gray[y:y+h,x:x+w]
roi_gray = cv2.resize(roi_gray,(48,48),interpolation=cv2.INTER_AREA)
if np.sum([roi_gray])!=0:
roi = roi_gray.astype('float')/255.0
roi = img_to_array(roi)
roi = np.expand_dims(roi,axis=0)
preds = classifier.predict(roi)[0]
print("\nprediction = ",preds)
label=class_labels[preds.argmax()]
print("\nprediction max = ",preds.argmax())
print("\nlabel = ",label)
label_position = (x,y)
cv2.putText(frame,label,label_position,cv2.FONT_HERSHEY_SIMPLEX,2,(255,255,255),3)
else:
cv2.putText(frame,'Yuz Bulunamadi',(20,60),cv2.FONT_HERSHEY_SIMPLEX,2,(0,255,0),3)
print("\n\n")
frame= cv2.resize(frame,(860,490))
cv2.imshow('Emotion Detector',frame)
if cv2.waitKey(1) & 0xFF == ord('q'): # çıkma tuşu
break
cap.release()
cv2.destroyAllWindows()
解决方案
将主脚本更改为:
from tkinter import *
from test import start_capturing
root = Tk()
root.title('Emotion Detection')
root.iconbitmap(r'C:\Users\Doğukan\OneDrive\Masaüstü\ED\icon.ico')
root.geometry("500x300")
def run():
root.destroy() # Destroy the root so it doesn't hang
start_capturing() # Start the function that is inside `test.py`
myButton = Button(root, text="calistir",command=run, padx=50)
myButton.pack(pady=20)
root.mainloop()
和你的test.py
脚本:
from keras.models import load_model
from time import sleep
from keras.preprocessing.image import img_to_array
from keras.preprocessing import image
import cv2
import numpy as np
def start_capturing():
face_classifier = cv2.CascadeClassifier('./haarcascade_frontalface_default.xml')
classifier =load_model('./Emotion_Detection.h5')
class_labels = ['Sinirli', 'Mutlu', 'Dogal', 'Uzgun', 'Saskin', 'Korkmus']
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
labels = []
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_classifier.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectangle(frame, (x, y),(x+w, y+h), (0, 255, 0), 2)
roi_gray = gray[y:y+h,x:x+w]
roi_gray = cv2.resize(roi_gray, (48, 48), interpolation=cv2.INTER_AREA)
if np.sum([roi_gray]) != 0:
roi = roi_gray.astype("float") / 255.0
roi = img_to_array(roi)
roi = np.expand_dims(roi, axis=0)
preds = classifier.predict(roi)[0]
print("\nprediction = ", preds)
label = class_labels[preds.argmax()]
print("\nprediction max = ", preds.argmax())
print("\nlabel = ", label)
label_position = (x, y)
cv2.putText(frame,label,label_position, cv2.FONT_HERSHEY_SIMPLEX, 2, (255, 255, 255), 3)
else:
cv2.putText(frame,'Yuz Bulunamadi', (20, 60), cv2.FONT_HERSHEY_SIMPLEX, 2, (0, 255, 0), 3)
print("\n\n")
frame= cv2.resize(frame, (860, 490))
cv2.imshow("Emotion Detector", frame)
if cv2.waitKey(1) and (0xFF == ord("q")): # çıkma tuşu
break
cap.release()
cv2.destroyAllWindows()
推荐阅读
- node.js - Node.JS 中数组元素的并行计算
- javascript - Firebase 在每次新应用启动时不断收到多个响应
- wordpress - WooCommerce 自定义 bacs 支付网关不保存银行帐户详细信息
- git - git 克隆一个组织仓库,在 url 上有用户名密码
- javascript - 使用延迟加载加载 gif
- c# - 自己的类和列表<>问题 Unity C#
- python - Python根据部分匹配添加新数据的新行
- javascript - 上传图片时出现错误 413 有效载荷太大
- parsing - 在 PROLOG 中创建 DCG 解析器
- bash - Bash变量不保存给定的新数据?