我决定制作一个类,以便在Tkinter中轻松显示动画GIF,这确实有效,但动态收集所有帧的过程总是花费大量时间并防止其他任何事情发生,直到它完成。我想知道是否有任何方法可以加速它或以更有效的方式做同样的事情。
这是该类的代码:
from tkinter import *
class animation:
def __init__(self,*args,**kwargs):
self.root=args[0]
self.label=Label(self.root)
self.label.grid()
self.image=kwargs["image"]
try:
self.delay=kwargs["delay"]
except KeyError:
self.delay=20
self.frames=[]
x=0
while True:
try:
img=PhotoImage(file=self.image,
format="gif -index {}".format(x))
self.frames.append(img)
x+=1
except:
break
def animate(self,y):
try:
self.label.configure(image=self.frames[y])
self.root.after(self.delay,lambda:self.animate(y+1))
except IndexError:
self.label.configure(image=self.frames[0])
self.root.after(self.delay,lambda:self.animate(1))
以下是它的使用方法:
from tkinter import *
from modules.animation import animation
root=Tk()
cosmog=animation(root,image="cosmog.gif").animate(0)
cosmoem=animation(root,image="cosmoem.gif").animate(0)
lunala=animation(root,image="lunala.gif").animate(0)
root.mainloop()
尝试使用线程:
import threading
import time
def __init__(self, *args, **kwargs):
self.frames=[]
self.run_loop = True
self.x=0
self.taken = []
self.order = []
while self.run_loop:
threading.Thread(target=self.add_image).start()
def add_image(self):
try:
if self.x not in self.taken: # make sure not several threads add the same image index
self.taken.append(self.x)
self.x+=1
else:
return
# save local x before creating image, for the order
# all the other threads will increment self.x while Image is created
x = self.x
img=PhotoImage(file=self.image, format="gif -index {}".format(self.x))
self.frames.append(img)
self.order.append(x) # keep track of the order
if len(self.frames) == len(self.taken): # when finish
self.frames = [x for _,x in sorted(zip(self.order,self.frames))] # sort the frames to the order
except:
self.run_loop = False
我在没有tkinter的情况下制作了一个简单的runnable示例,使用time.sleep(随机时间量)来模拟Photo Image:
import threading
import time
from random import randint
class Test:
frames=[]
run_loop = True
x=0
taken = []
order = []
time = 0
def __init__(self):
while self.run_loop:
threading.Thread(target=self.add_image).start()
def add_image(self):
if self.x < 100:
if self.x not in self.taken: # make sure not several threads add the same image index
self.taken.append(self.x)
self.x+=1
else:
return
x = self.x
t = randint(1,10)/10.0
self.time += t
time.sleep(t) # PhotoImage random time.sleep 0 to 1 second
self.order.append(x)
self.frames.append(x)
if len(self.frames) == len(self.taken):
print("Frames before sort")
print(self.frames)
self.frames = [x for _,x in sorted(zip(self.order,self.frames))]
print("\nFrames after sort")
print(self.frames)
print("\nTime used combined: {} seconds".format(self.time))
else:
self.run_loop = False
t = Test()
该测试显示使用的组合时间约为50秒。
有100个线程,它在1秒内完成。最长时间的时间量。睡眠时间为0到1秒。
所以对你来说,它不应该超过一个最长的PhotoImage
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