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import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import matplotlib.widgets as widgets
def onselect(eclick, erelease):
if eclick.ydata>erelease.ydata:
eclick.ydata,erelease.ydata=erelease.ydata,eclick.ydata
if eclick.xdata>erelease.xdata:
eclick.xdata,erelease.xdata=erelease.xdata,eclick.xdata
ax.set_ylim(erelease.ydata,eclick.ydata)
ax.set_xlim(eclick.xdata,erelease.xdata)
fig.canvas.draw()
#imgpil = Image.fromarray(fig) # Transformation du tableau en image PIL
#imgpil.save("resultat.jpg")
fig = plt.figure()
ax = fig.add_subplot(111)
filename="lena.png"
im = Image.open(filename)
arr = np.asarray(im)
plt_image=plt.imshow(arr)
rs=widgets.RectangleSelector(
ax, onselect, drawtype='box',
rectprops = dict(facecolor='red', edgecolor = 'black', alpha=0.5, fill=True))
plt.show() |
