这是一个将转换
plt.figure()为
np.array并将其显示在相机Feed中的示例
cv2.imshow
import matplotlibmatplotlib.use('TkAgg')import numpy as npimport cv2import matplotlib.pyplot as pltfig = 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 laterfor 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
