python opencv鼠标画矩形框之cv2.rectangle()函数

编辑: admin 分类: python 发布时间: 2021-12-04 来源:互联网
目录
  • cv2.rectangle()函数说明
    • 参数说明
  • 利用鼠标回调函数交互式画矩形框
    • 总结

      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

      到此这篇关于python opencv鼠标画矩形框之cv2.rectangle()函数的文章就介绍到这了,更多相关opencv鼠标画矩形框cv2.rectangle()内容请搜索hwidc以前的文章或继续浏览下面的相关文章希望大家以后多多支持hwidc!

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