преобразовать рисунок matplotlib в изображение CV2
import matplotlib
matplotlib.use('TkAgg')
import numpy as np
import cv2
import matplotlib.pyplot as plt
fig = plt.figure()
cap = cv2.VideoCapture(0)
x1 = np.linspace(0.0, 5.0)
x2 = np.linspace(0.0, 2.0)
y1 = np.cos(2 * np.pi * x1) * np.exp(-x1)
y2 = np.cos(2 * np.pi * x2)
line1, = plt.plot(x1, y1, 'ko-') # so that we can update data later
for i in range(1000):
# update data
line1.set_ydata(np.cos(2 * np.pi * (x1+i*3.14/2) ) * np.exp(-x1) )
# redraw the canvas
fig.canvas.draw()
# convert canvas to image
img = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8,
sep='')
img = img.reshape(fig.canvas.get_width_height()[::-1] + (3,))
# img is rgb, convert to opencv's default bgr
img = cv2.cvtColor(img,cv2.COLOR_RGB2BGR)
# display image with opencv or any operation you like
cv2.imshow("plot",img)
# display camera feed
ret,frame = cap.read()
cv2.imshow("cam",frame)
k = cv2.waitKey(33) & 0xFF
if k == 27:
break
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