将 OpenCV 与 Tkinter 一起使用
Posted
技术标签:
【中文标题】将 OpenCV 与 Tkinter 一起使用【英文标题】:Using OpenCV with Tkinter 【发布时间】:2015-11-27 08:36:16 【问题描述】:我正在编写一个需要在 Tkinter 窗口中显示视频流的程序。由于还会有用于执行各种功能的按钮,因此我使用网格来组织所有内容。
以下代码,修改自 Show webcam sequence TkInter,在我的树莓派上运行良好:
import Tkinter as tk
import cv2
from PIL import Image, ImageTk
width, height = 800, 600
cap = cv2.VideoCapture(0)
root = tk.Tk()
lmain = tk.Label(root)
lmain.pack()
def show_frame():
_, frame = cap.read()
frame = cv2.flip(frame, 1)
cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
img = Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image=img)
lmain.imgtk = imgtk
lmain.configure(image=imgtk)
lmain.after(10, show_frame)
show_frame()
root.mainloop()
但是,将它与 Tkinter 结合是行不通的。 (在下文中,我尝试将 Display 1 和 Display 2 都注释掉。)
import numpy as np
import cv2
import Tkinter as tk
import Image, ImageTk
#Set up GUI
window = tk.Tk() #Makes main window
window.wm_title("Digital Microscope")
window.config(background="#FFFFFF")
#Graphics window
imageFrame = tk.Frame(window, width=600, height=500)
imageFrame.grid(row=0, column=0, padx=10, pady=2)
#Capture video frames
lmain = tk.Label(imageFrame)
cap = cv2.VideoCapture(0)
def show_frame():
_, frame = cap.read()
frame = cv2.flip(frame, 1)
cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
img = Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image=img)
lmain.imgtk = imgtk
lmain.configure(image=imgtk)
lmain.after(10, show_frame)
tk.Label(imageFrame, image=show_frame()).grid(row=0, column=0, padx=10, pady=2) #Display 1
#Slider window (slider controls stage position)
sliderFrame = tk.Frame(window, width=600, height=100)
sliderFrame.grid(row = 600, column=0, padx=10, pady=2)
show_frame() #Display 2
window.mainloop() #Starts GUI
如何让视频在imageFrame
中显示?
【问题讨论】:
【参考方案1】:这应该可行:
import numpy as np
import cv2
import Tkinter as tk
import Image, ImageTk
#Set up GUI
window = tk.Tk() #Makes main window
window.wm_title("Digital Microscope")
window.config(background="#FFFFFF")
#Graphics window
imageFrame = tk.Frame(window, width=600, height=500)
imageFrame.grid(row=0, column=0, padx=10, pady=2)
#Capture video frames
lmain = tk.Label(imageFrame)
lmain.grid(row=0, column=0)
cap = cv2.VideoCapture(0)
def show_frame():
_, frame = cap.read()
frame = cv2.flip(frame, 1)
cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
img = Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image=img)
lmain.imgtk = imgtk
lmain.configure(image=imgtk)
lmain.after(10, show_frame)
#Slider window (slider controls stage position)
sliderFrame = tk.Frame(window, width=600, height=100)
sliderFrame.grid(row = 600, column=0, padx=10, pady=2)
show_frame() #Display 2
window.mainloop() #Starts GUI
首先,您有tk.Label(imageFrame, image=show_frame()).grid(row=0, column=0, padx=10, pady=2)
行,由于show_frame()
不返回任何内容,您已将image
设置为None
。其次,你需要确保你lmain.grid()
,否则lmain
不会显示。
如果你想让两个显示器一个在另一个之上,你可以这样做:
import numpy as np
import cv2
import Tkinter as tk
import Image, ImageTk
#Set up GUI
window = tk.Tk() #Makes main window
window.wm_title("Digital Microscope")
window.config(background="#FFFFFF")
#Graphics window
imageFrame = tk.Frame(window, width=600, height=500)
imageFrame.grid(row=0, column=0, padx=10, pady=2)
#Capture video frames
cap = cv2.VideoCapture(0)
def show_frame():
_, frame = cap.read()
frame = cv2.flip(frame, 1)
cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
img = Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image=img)
display1.imgtk = imgtk #Shows frame for display 1
display1.configure(image=imgtk)
display2.imgtk = imgtk #Shows frame for display 2
display2.configure(image=imgtk)
window.after(10, show_frame)
display1 = tk.Label(imageFrame)
display1.grid(row=1, column=0, padx=10, pady=2) #Display 1
display2 = tk.Label(imageFrame)
display2.grid(row=0, column=0) #Display 2
#Slider window (slider controls stage position)
sliderFrame = tk.Frame(window, width=600, height=100)
sliderFrame.grid(row = 600, column=0, padx=10, pady=2)
show_frame() #Display
window.mainloop() #Starts GUI
【讨论】:
谢谢你。你是个天才! 为什么我们需要 tk.Label 来显示 tk.Frame?【参考方案2】:试试这个代码:
from PIL import Image, ImageTk
import Tkinter as tk
import argparse
import datetime
import cv2
import os
class Application:
def __init__(self, output_path = "./"):
""" Initialize application which uses OpenCV + Tkinter. It displays
a video stream in a Tkinter window and stores current snapshot on disk """
self.vs = cv2.VideoCapture(0) # capture video frames, 0 is your default video camera
self.output_path = output_path # store output path
self.current_image = None # current image from the camera
self.root = tk.Tk() # initialize root window
self.root.title("PyImageSearch PhotoBooth") # set window title
# self.destructor function gets fired when the window is closed
self.root.protocol('WM_DELETE_WINDOW', self.destructor)
self.panel = tk.Label(self.root) # initialize image panel
self.panel.pack(padx=10, pady=10)
# create a button, that when pressed, will take the current frame and save it to file
btn = tk.Button(self.root, text="Snapshot!", command=self.take_snapshot)
btn.pack(fill="both", expand=True, padx=10, pady=10)
# start a self.video_loop that constantly pools the video sensor
# for the most recently read frame
self.video_loop()
def video_loop(self):
""" Get frame from the video stream and show it in Tkinter """
ok, frame = self.vs.read() # read frame from video stream
if ok: # frame captured without any errors
cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA) # convert colors from BGR to RGBA
self.current_image = Image.fromarray(cv2image) # convert image for PIL
imgtk = ImageTk.PhotoImage(image=self.current_image) # convert image for tkinter
self.panel.imgtk = imgtk # anchor imgtk so it does not be deleted by garbage-collector
self.panel.config(image=imgtk) # show the image
self.root.after(30, self.video_loop) # call the same function after 30 milliseconds
def take_snapshot(self):
""" Take snapshot and save it to the file """
ts = datetime.datetime.now() # grab the current timestamp
filename = ".jpg".format(ts.strftime("%Y-%m-%d_%H-%M-%S")) # construct filename
p = os.path.join(self.output_path, filename) # construct output path
self.current_image.save(p, "JPEG") # save image as jpeg file
print("[INFO] saved ".format(filename))
def destructor(self):
""" Destroy the root object and release all resources """
print("[INFO] closing...")
self.root.destroy()
self.vs.release() # release web camera
cv2.destroyAllWindows() # it is not mandatory in this application
# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-o", "--output", default="./",
help="path to output directory to store snapshots (default: current folder")
args = vars(ap.parse_args())
# start the app
print("[INFO] starting...")
pba = Application(args["output"])
pba.root.mainloop()
【讨论】:
以上是关于将 OpenCV 与 Tkinter 一起使用的主要内容,如果未能解决你的问题,请参考以下文章