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python opencv鼠标画矩形框之cv2.rectangle()函数

发布日期:2021-12-26 22:06 | 文章来源:源码之家

关于鼠标回调函数的说明可以参考:opencv-python的鼠标交互操作

cv2.rectangle()函数说明

参数说明

导入cv2后,通过help(cv2.rectangle)可以看到函数的帮助文档如下:

rectangle(...)
 rectangle(img, pt1, pt2, color[, thickness[, lineType[, shift]]]) -> img
 .@brief Draws a simple, thick, or filled up-right rectangle.
 .
 .The function cv::rectangle draws a rectangle outline or a filled rectangle whose two opposite corners
 .are pt1 and pt2.
 .
 .@param img Image.
 .@param pt1 Vertex of the rectangle.
 .@param pt2 Vertex of the rectangle opposite to pt1 .
 .@param color Rectangle color or brightness (grayscale image).
 .@param thickness Thickness of lines that make up the rectangle. Negative values, like #FILLED,
 .mean that the function has to draw a filled rectangle.
 .@param lineType Type of the line. See #LineTypes
 .@param shift Number of fractional bits in the point coordinates.
 
 
 
 rectangle(img, rec, color[, thickness[, lineType[, shift]]]) -> img
 .@overload
 .
 .use `rec` parameter as alternative specification of the drawn rectangle: `r.tl() and
 .r.br()-Point(1,1)` are opposite corners

其中四个参数必选:

  • img:底图,uint8类型的ndarray
  • pt1:矩形框的一个顶点坐标,是一个包含两个数字的tuple(必需是tuple),表示(x, y)
  • pt2:pt1的对角线顶点坐标,类型同pt1
  • color:颜色,是一个包含三个数字的tuple或list,表示(b, g, r);如果图片是灰度图的话,color也可以是一个数字

其他参数说明如下:

  • thickness:线宽,默认值是1,数值越大表示线宽越宽;如果取值为负数或者cv2.FILLED,那么将画一个填充了的矩形
  • lineType:可以取的值有cv2.LINE_4,cv2.LINE_8,cv2.LINE_AA。其中cv2.LINE_AA的AA表示抗锯齿,线会更平滑。

注意:pt1和pt2表示任意一对对角线上的点,不一定要求pt1必需左上角,pt2必需右下角。另外pt1和pt2可以互换顺序而不影响结果。

下面是一个非交互式的程序示例

# -*- coding: utf-8 -*-
import cv2
import numpy as np
if __name__ == '__main__':
 image = np.zeros((256, 256, 3), np.uint8)
 color = (0, 255, 0)
 cv2.rectangle(image, (20, 20), (60, 60), (0, 255, 0))
 cv2.rectangle(image, (120, 120), (80, 80), (255, 0, 0), thickness=-1)
 cv2.rectangle(image, (140, 200), (200, 140), (0, 0, 255), thickness=5)
 cv2.namedWindow('rect', 1)
 cv2.imshow('rect', image)
 cv2.waitKey(0)
 cv2.destroyAllWindows()

第一个矩形框pt1 = 左上角,pt2 = 右下角

第二个矩形框pt1 = 右下角,pt2 = 左上角

第三个矩形框pt1 = 右上角,pt2 = 左下角

得到的结果如下:

利用鼠标回调函数交互式画矩形框

为了容易理解下面程序,建议先参考下面文章的例2

opencv-python鼠标画点:cv2.drawMarker()

下面程序的操作方法是:

  • 鼠标左键按下开始画当前矩形框
  • 移动鼠标进行绘画
  • 弹起左键当前矩形框绘画结束,并把当前矩形框加入列表
  • 鼠标右键按下是删除矩形框列表中的最后一个对象

编程注意事项:

  • 矩形框绘画过程中需要记录一个鼠标左键按下的状态标志。常规状态下该标志设为False,鼠标移动不进行绘画;当鼠标左键按下后,标志设为True,此时移动鼠标将进入绘画状态;左键弹起后,标志恢复False。
  • 为了在鼠标移动过程中实时显示绘画状态,需要不停地重置用来显示的图像,并不停地重画所有已保存的矩形框
  • 矩形框的第二个点使用shrink_point获取,确保不超出图像边界
# -*- coding: utf-8 -*-
import copy
import cv2
import numpy as np
WIN_NAME = 'draw_rect'

class Rect(object):
 def __init__(self):
  self.tl = (0, 0)
  self.br = (0, 0)
 def regularize(self):
  """
  make sure tl = TopLeft point, br = BottomRight point
  """
  pt1 = (min(self.tl[0], self.br[0]), min(self.tl[1], self.br[1]))
  pt2 = (max(self.tl[0], self.br[0]), max(self.tl[1], self.br[1]))
  self.tl = pt1
  self.br = pt2

class DrawRects(object):
 def __init__(self, image, color, thickness=1):
  self.original_image = image
  self.image_for_show = image.copy()
  self.color = color
  self.thickness = thickness
  self.rects = []
  self.current_rect = Rect()
  self.left_button_down = False
 @staticmethod
 def __clip(value, low, high):
  """
  clip value between low and high
  Parameters
  ----------
  value: a number
value to be clipped
  low: a number
low limit
  high: a number
high limit
  Returns
  -------
  output: a number
clipped value
  """
  output = max(value, low)
  output = min(output, high)
  return output
 def shrink_point(self, x, y):
  """
  shrink point (x, y) to inside image_for_show
  Parameters
  ----------
  x, y: int, int
coordinate of a point
  Returns
  -------
  x_shrink, y_shrink: int, int
shrinked coordinate
  """
  height, width = self.image_for_show.shape[0:2]
  x_shrink = self.__clip(x, 0, width)
  y_shrink = self.__clip(y, 0, height)
  return (x_shrink, y_shrink)
 def append(self):
  """
  add a rect to rects list
  """
  self.rects.append(copy.deepcopy(self.current_rect))
 def pop(self):
  """
  pop a rect from rects list
  """
  rect = Rect()
  if self.rects:
rect = self.rects.pop()
  return rect
 def reset_image(self):
  """
  reset image_for_show using original image
  """
  self.image_for_show = self.original_image.copy()
 def draw(self):
  """
  draw rects on image_for_show
  """
  for rect in self.rects:
cv2.rectangle(self.image_for_show, rect.tl, rect.br,  color=self.color, thickness=self.thickness)
 def draw_current_rect(self):
  """
  draw current rect on image_for_show
  """
  cv2.rectangle(self.image_for_show,
 self.current_rect.tl, self.current_rect.br,
 color=self.color, thickness=self.thickness)

def onmouse_draw_rect(event, x, y, flags, draw_rects):
 if event == cv2.EVENT_LBUTTONDOWN:
  # pick first point of rect
  print('pt1: x = %d, y = %d' % (x, y))
  draw_rects.left_button_down = True
  draw_rects.current_rect.tl = (x, y)
 if draw_rects.left_button_down and event == cv2.EVENT_MOUSEMOVE:
  # pick second point of rect and draw current rect
  draw_rects.current_rect.br = draw_rects.shrink_point(x, y)
  draw_rects.reset_image()
  draw_rects.draw()
  draw_rects.draw_current_rect()
 if event == cv2.EVENT_LBUTTONUP:
  # finish drawing current rect and append it to rects list
  draw_rects.left_button_down = False
  draw_rects.current_rect.br = draw_rects.shrink_point(x, y)
  print('pt2: x = %d, y = %d' % (draw_rects.current_rect.br[0],
  draw_rects.current_rect.br[1]))
  draw_rects.current_rect.regularize()
  draw_rects.append()
 if (not draw_rects.left_button_down) and event == cv2.EVENT_RBUTTONDOWN:
  # pop the last rect in rects list
  draw_rects.pop()
  draw_rects.reset_image()
  draw_rects.draw()

if __name__ == '__main__':
 image = np.zeros((256, 256, 3), np.uint8)
 draw_rects = DrawRects(image, (0, 255, 0), 2)
 cv2.namedWindow(WIN_NAME, 0)
 cv2.setMouseCallback(WIN_NAME, onmouse_draw_rect, draw_rects)
 while True:
  cv2.imshow(WIN_NAME, draw_rects.image_for_show)
  key = cv2.waitKey(30)
  if key == 27:  # ESC
break
 cv2.destroyAllWindows()

终端输出:

pt1: x = 55, y = 68
pt2: x = 0, y = 0
pt1: x = 195, y = 60
pt2: x = 256, y = 0
pt1: x = 59, y = 192
pt2: x = 0, y = 256
pt1: x = 194, y = 190
pt2: x = 256, y = 256
pt1: x = 94, y = 111
pt2: x = 170, y = 168

结果如下:

总结

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