python opencv鼠標(biāo)畫矩形框之cv2.rectangle()函數(shù)
關(guān)于鼠標(biāo)回調(diào)函數(shù)的說(shuō)明可以參考:opencv-python的鼠標(biāo)交互操作
cv2.rectangle()函數(shù)說(shuō)明
參數(shù)說(shuō)明
導(dǎo)入cv2后,通過(guò)help(cv2.rectangle)可以看到函數(shù)的幫助文檔如下:
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
其中四個(gè)參數(shù)必選:
- img:底圖,uint8類型的ndarray
- pt1:矩形框的一個(gè)頂點(diǎn)坐標(biāo),是一個(gè)包含兩個(gè)數(shù)字的tuple(必需是tuple),表示(x, y)
- pt2:pt1的對(duì)角線頂點(diǎn)坐標(biāo),類型同pt1
- color:顏色,是一個(gè)包含三個(gè)數(shù)字的tuple或list,表示(b, g, r);如果圖片是灰度圖的話,color也可以是一個(gè)數(shù)字
其他參數(shù)說(shuō)明如下:
- thickness:線寬,默認(rèn)值是1,數(shù)值越大表示線寬越寬;如果取值為負(fù)數(shù)或者cv2.FILLED,那么將畫一個(gè)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表示抗鋸齒,線會(huì)更平滑。
注意:pt1和pt2表示任意一對(duì)對(duì)角線上的點(diǎn),不一定要求pt1必需左上角,pt2必需右下角。另外pt1和pt2可以互換順序而不影響結(jié)果。
下面是一個(gè)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()
第一個(gè)矩形框pt1 = 左上角,pt2 = 右下角
第二個(gè)矩形框pt1 = 右下角,pt2 = 左上角
第三個(gè)矩形框pt1 = 右上角,pt2 = 左下角
得到的結(jié)果如下:

利用鼠標(biāo)回調(diào)函數(shù)交互式畫矩形框
為了容易理解下面程序,建議先參考下面文章的例2
opencv-python鼠標(biāo)畫點(diǎn):cv2.drawMarker()
下面程序的操作方法是:
- 鼠標(biāo)左鍵按下開始畫當(dāng)前矩形框
- 移動(dòng)鼠標(biāo)進(jìn)行繪畫
- 彈起左鍵當(dāng)前矩形框繪畫結(jié)束,并把當(dāng)前矩形框加入列表
- 鼠標(biāo)右鍵按下是刪除矩形框列表中的最后一個(gè)對(duì)象
編程注意事項(xiàng):
- 矩形框繪畫過(guò)程中需要記錄一個(gè)鼠標(biāo)左鍵按下的狀態(tài)標(biāo)志。常規(guī)狀態(tài)下該標(biāo)志設(shè)為False,鼠標(biāo)移動(dòng)不進(jìn)行繪畫;當(dāng)鼠標(biāo)左鍵按下后,標(biāo)志設(shè)為True,此時(shí)移動(dòng)鼠標(biāo)將進(jìn)入繪畫狀態(tài);左鍵彈起后,標(biāo)志恢復(fù)False。
- 為了在鼠標(biāo)移動(dòng)過(guò)程中實(shí)時(shí)顯示繪畫狀態(tài),需要不停地重置用來(lái)顯示的圖像,并不停地重畫所有已保存的矩形框
- 矩形框的第二個(gè)點(diǎn)使用shrink_point獲取,確保不超出圖像邊界
# -*- 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()
終端輸出:
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
結(jié)果如下:

總結(jié)
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