我需要在图像中画一条线,以便单击pt1并拖动到pt2。因此,结果将显示一条线,我也将获得pt1和pt2的坐标。我目前正在使用两次单独的鼠标单击以使用以下代码绘制一条线
import numpy as np
import cv2
def get_points(im):
# Set up data to send to mouse handler
data = {}
data['im'] = im.copy()
data['points'] = []
# Set the callback function for any mouse event
cv2.imshow("Image", im)
cv2.setMouseCallback("Image", mouse_handler, data)
cv2.waitKey(0)
# Convert array to np.array
points = np.vstack(data['points']).astype(float)
return points
def mouse_handler(event, x, y, flags, data):
if event == cv2.EVENT_LBUTTONDOWN:
cv2.circle(data['im'], (x, y), 3, (0, 0, 255), 5, 16);
cv2.imshow("Image", data['im']);
if len(data['points']) < 2: # This can be changed for more or less points
data['points'].append([x, y])
# Running the code
img = cv2.imread('image.jpg', 0)
pts = get_points(img)
cv2.line(img, (pts[0][0], pts[0][1]), (pts[1][0], pts[1][1]), (0,0,0), 2)
cv2.imshow('Image', img)
cv2.waitKey(0)
它有效,但不能解决我的问题。我希望它从pt1向下拖动到pt2并自己绘制一条线,而不是使用单击获取点,然后绘制该线。因此,例如,左图是我当前的实现,但我想像右图那样
谢谢您的建议。
最佳答案
只需使用其他事件。
这是一个快速的肮脏的解决方案:
import numpy as np
import cv2
btn_down = False
def get_points(im):
# Set up data to send to mouse handler
data = {}
data['im'] = im.copy()
data['lines'] = []
# Set the callback function for any mouse event
cv2.imshow("Image", im)
cv2.setMouseCallback("Image", mouse_handler, data)
cv2.waitKey(0)
# Convert array to np.array in shape n,2,2
points = np.uint16(data['lines'])
return points, data['im']
def mouse_handler(event, x, y, flags, data):
global btn_down
if event == cv2.EVENT_LBUTTONUP and btn_down:
#if you release the button, finish the line
btn_down = False
data['lines'][0].append((x, y)) #append the seconf point
cv2.circle(data['im'], (x, y), 3, (0, 0, 255),5)
cv2.line(data['im'], data['lines'][0][0], data['lines'][0][1], (0,0,255), 2)
cv2.imshow("Image", data['im'])
elif event == cv2.EVENT_MOUSEMOVE and btn_down:
#thi is just for a ine visualization
image = data['im'].copy()
cv2.line(image, data['lines'][0][0], (x, y), (0,0,0), 1)
cv2.imshow("Image", image)
elif event == cv2.EVENT_LBUTTONDOWN and len(data['lines']) < 2:
btn_down = True
data['lines'].insert(0,[(x, y)]) #prepend the point
cv2.circle(data['im'], (x, y), 3, (0, 0, 255), 5, 16)
cv2.imshow("Image", data['im'])
# Running the code
img = cv2.imread('C://image.jpg', 1)
pts, final_image = get_points(img)
cv2.imshow('Image', final_image)
print pts
cv2.waitKey(0)
让我知道您是否打算这样做。