将python中显示的图像转换为OpenCV图像. [英] Convert an image shown in python, into an OpenCV image.

问题描述

因此，我想简单地提取通过 plt.plot(x，y)制作的现有图，将其转换为图像"，以便我可以给它通过以下方式访问OpenCV的视频编写器:

So, I would like to simply take an existing plot that I have made via plt.plot(x,y), convert it into an "image", so that I can then give it to OpenCV's video writer via:

cv2.VideoWriter('myMovie.avi', fourcc, 20.0, (640,480))
writer.write(image)

我的问题是，考虑到我已经绘制的图形，如何获得图像"?

My problem is, given the figure I have already plotted, how do I get "image"?

谢谢.

推荐答案

在发布解决方案之前，如果仅使用

Before posting a solution, it may be easier if you just use matplotlib's animation to save a video. And here's the solution using opencv:

import numpy as np
import cv2
import matplotlib.pyplot as plt

fig = plt.figure()


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)

ax = fig.add_subplot(2,1,1)
line1, = ax.plot(x1, y1, 'ko-')        # so that we can update data later
ax.set_title('A tale of 2 subplots')
ax.set_ylabel('Damped oscillation')

ay = fig.add_subplot(2, 1, 2)
ay.plot(x2, y2, 'r.-')
ay.set_xlabel('time (s)')
ay.set_ylabel('Undamped')

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)
    k = cv2.waitKey(33) & 0xFF
    if k == 27:
        break

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