Question

尝试编译使用Tkinter和cv2构建的简单视频播放器GUI。编译后，GUI可以正确打开，但是在加载视频文件并尝试播放后，GUI冻结。

只需运行以下命令即可完成编译- 终端中的pyinstaller。

在编译之前，该应用程序可以在我的python环境中运行。为了清楚起见，下面将发布整个代码：该应用程序使用cv2模块和PIL通过以下方式逐帧显示视频：

使用cv2.VideoCapture(video_source)方法read（）加载框架
该帧将转换为RBG： cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
创建了ImageTk象素： python PIL.ImageTk.PhotoImage(image=PIL.Image.fromarray(frame))
使用create_image方法加载到tkinter Fcavas。 python Fcanvas.create_image(0, 0, image=self.photo, anchor=NW)

下面插入了相关的代码段：


from tkinter import *
from tkinter import filedialog, Label
import PIL.Image, PIL.ImageTk
import cv2
import numpy as np

class Root:
    def __init__(self):
        self.app = Tk()
        self.Fcanvas = Canvas(bg='white', height=1200, width=1200)
        # creating a menu bar
        self.app.mainloop()


    def load_video(self):
        file_name = filedialog.askopenfilename(initialdir='/', title='Select video')
        self.video_cap = MyVideoCapture(file_name)
        self.Fcanvas = Canvas(bg='white', height=self.video_cap.height, width=self.video_cap.width)
        self.Fcanvas.pack()
        # initiating pause flag
        self.pause_flag = True
        #self.time_bar.config()
        self.time_bar.config(from_=0, to=self.video_cap.vid.get(cv2.CAP_PROP_FRAME_COUNT)/self.video_cap.frame_rate)
        self.time_bar.pack_configure()


    def update(self):
        # check if video object exists
        if self.pause_flag is False:
            try:
                ret, frame = self.video_cap.get_frame()
                if ret:
                    # Get a frame from the video source

                    self.photo = PIL.ImageTk.PhotoImage(image=PIL.Image.fromarray(frame))
                    self.Fcanvas.delete(ALL)
                    self.Fcanvas.create_image(0, 0, image=self.photo, anchor=NW)
                    self.after_id = self.app.after(int((1 / self.video_cap.frame_rate) * 1000), self.update)
                    # updating timer
                    self.time_print()
                    # updating slider
                    self.time_bar.set(self.video_cap.get_time()/1000)
            except (ValueError, ImportError, AttributeError):
                print('No video was loaded')
                return


class MyVideoCapture:
    def __init__(self, video_source):
        # open the video source
        self.vid = cv2.VideoCapture(video_source)
        if not self.vid.isOpened():
            raise ValueError("Unable to open video source", video_source)
        # get video source width and height
        self.height = self.vid.get(cv2.CAP_PROP_FRAME_HEIGHT)
        self.width = self.vid.get(cv2.CAP_PROP_FRAME_WIDTH)
        self.frame_rate = self.vid.get(cv2.CAP_PROP_FPS)

    def get_frame(self):
        if self.vid.isOpened():
            ret, frame = self.vid.read()
            self.cur_frame_cnt = self.vid.get(cv2.CAP_PROP_POS_FRAMES)

            if ret:
                # Return a boolean success flag and the current frame converted to BGR
                return ret, cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
            else:
                return ret, None
        else:
            return False, None






Root()

tKinter和cv2 GUI-加载视频时使用pyinstaller和Frozenz进行编译

0 个答案: