matplotlib jupyter notebook 图像可视化 plt show操作

plt.figure(figsize=(15,10))
plt.imshow(img)
plt.show()

plt.figure(figsize=(15,10))
plt.imshow(cv2.cvtColor(input_img, cv2.COLOR_BGR2RGB))
plt.show()

import matplotlib
import matplotlib.pyplot as plt
backend = matplotlib.get_backend()
print(backend)

import matplotlib
import matplotlib.pyplot as plt
from PIL import Image
img = Image.open("00.jpg")
fig = plt.figure()
 
fig.canvas.manager.window.wm_geometry('+300+300')
fig.imshow(img)
fig.show()

import matplotlib
import matplotlib.pyplot as plt
from PIL import Image
img = Image.open("00.jpg")
fig = plt.figure()
 
fig.canvas.manager.window.SetPosition((300, 300))
fig.imshow(img)
 
fig.show()

import matplotlib
import matplotlib.pyplot as plt
from PIL import Image
img = Image.open("00.jpg")
fig = plt.figure()
 
f.canvas.manager.window.move(300, 300)
fig.imshow(img)
 
fig.show()

plt.figure()
fig.set_size_inches(2,2)#200x200
fig.canvas.manager.window.move(300,300)
plt.imshow('your img sequence array')
plt.axis('off')
plt.gca().xaxis.set_major_locator(plt.NullLocator())
plt.gca().yaxis.set_major_locator(plt.NullLocator())
plt.subplots_adjust(top=1,bottom=0,left=0,right=1,hspace=0,wspace=0)
plt.margins(0,0)
plt.pause(0.5)