[英]Drawing on image with matplotlib and opencv2, update image?
我试图使用matplotlib和opencv2在图像上绘制遮罩,但将图像覆盖在matplotlib图中,然后跟踪鼠标事件。 我目前可以在图像上绘制图像,但是它不会在视图中更新。
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import cv2
import math
class Painter(object):
def __init__(self, ax, img):
self.showverts = True
self.figure = plt.figure(1)
self.button_pressed = False
self.img = img
self.brush_size = 50
self.color = 255
canvas = self.figure.canvas
canvas.mpl_connect('button_press_event', self.button_press_callback)
canvas.mpl_connect('button_release_event', self.button_release_callback)
canvas.mpl_connect('motion_notify_event', self.on_move)
def button_press_callback(self, event):
if(event.button == 1):
self.button_pressed = True
x = int(math.floor(event.xdata))
y = int(math.floor(event.ydata))
cv2.circle(self.img, (x, y), int(self.brush_size / 2), (self.color, self.color, self.color), -1)
#update the image
def button_release_callback(self, event):
self.button_pressed = False
cv2.imwrite('test.png', self.img)
def on_move(self, event):
if(self.button_pressed):
x = int(math.floor(event.xdata))
y = int(math.floor(event.ydata))
cv2.circle(self.img, (x, y), int(self.brush_size / 2), (self.color, self.color, self.color), -1)
#update the image
def draw_demo():
imgOver = np.zeros((717,1465,3), np.uint8)
imgMain = mpimg.imread('zebra.png')
#imgMain = np.random.uniform(0, 255, size=(500, 500))
ax = plt.subplot(111)
ax.imshow(imgMain, interpolation='nearest', alpha=1)
ax.imshow(imgOver, interpolation='nearest', alpha=0.6)
pntr = Painter(ax, imgOver)
plt.title('Click on the image to draw')
plt.show()
if __name__ == '__main__':
draw_demo()
在顶部绘制图像时,如何更新pyplot上的图像?
每次更新图像时,都需要调用plt.draw()。
这是种很怪异的答案,但对我有用,所以我想您可以尝试一下。 想法是只删除子图的图像堆栈上的顶部项目,然后使用更新的图像重新绘制它。
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import cv2
import math
class Painter(object):
def __init__(self, ax, img):
self.showverts = True
self.figure = plt.figure(1)
self.button_pressed = False
self.img = img
self.brush_size = 50
self.ax = ax
self.color = 255
canvas = self.figure.canvas
canvas.mpl_connect('button_press_event', self.button_press_callback)
canvas.mpl_connect('button_release_event', self.button_release_callback)
canvas.mpl_connect('motion_notify_event', self.on_move)
def button_press_callback(self, event):
if(event.button == 1):
self.button_pressed = True
x = int(math.floor(event.xdata))
y = int(math.floor(event.ydata))
cv2.circle(self.img, (x, y), int(self.brush_size / 2), (self.color, self.color, self.color), -1)
#update the image
def button_release_callback(self, event):
self.button_pressed = False
self.ax.images.pop()
self.ax.imshow(self.img, interpolation='nearest', alpha=0.6)
plt.draw()
cv2.imwrite('test.png', self.img)
def on_move(self, event):
if(self.button_pressed):
x = int(math.floor(event.xdata))
y = int(math.floor(event.ydata))
cv2.circle(self.img, (x, y), int(self.brush_size / 2), (self.color, self.color, self.color), -1)
#update the image
def draw_demo():
global imgMain
imgOver = np.zeros((717,1465,3), np.uint8)
imgMain = mpimg.imread('zebra.png')
#imgMain = np.random.uniform(0, 255, size=(500, 500))
ax = plt.subplot(111)
ax.imshow(imgMain, interpolation='nearest', alpha=1)
ax.imshow(imgOver, interpolation='nearest', alpha=0.6)
pntr = Painter(ax, imgOver)
plt.title('Click on the image to draw')
plt.show()
if __name__ == '__main__':
draw_demo()
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