Python+OpenCV实现图像矩形绘制与坐标显示

周予安
周予安
发布时间:2026-10-15| 8人浏览过
原创

本文介绍如何使用Python和OpenCV库在图像上绘制矩形框,并展示如何通过鼠标事件实时获取并显示图像上的坐标点。包含完整的代码示例、运行效果及关键参数说明,帮助开发者快速掌握图像标注与交互功能。

Python OpenCV 绘制矩形实现

以下是具体的实现代码。

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)
    image = cv2.imread("111.jpg")
    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()

程序运行后的视觉效果如下。

补充说明部分。

鼠标点击显示坐标功能

除了绘制任意大小的矩形外,Python结合OpenCV还可以实现鼠标点击图像时实时显示该点的坐标值。

实现该功能的代码如下。

import cv2
import numpy as np
 
img = cv2.imread("111.jpg")
 
 
# print img.shape
 
def on_EVENT_LBUTTONDOWN(event, x, y, flags, param):
    if event == cv2.EVENT_LBUTTONDOWN:
        xy = "%d,%d" % (x, y)
        print
        xy
        cv2.circle(img, (x, y), 1, (255, 0, 0), thickness=-1)
        cv2.putText(img, xy, (x, y), cv2.FONT_HERSHEY_PLAIN,
                    1.0, (255, 255, 255), thickness=1)
        cv2.imshow("image", img)
 
 
cv2.namedWindow("image",cv2.WINDOW_KEEPRATIO)
cv2.setMouseCallback("image", on_EVENT_LBUTTONDOWN)
cv2.imshow("image", img)
 
while (True):
    try:
        cv2.waitKey(100)
    except Exception:
        cv2.destroyWindow("image")
        break
 
cv2.waitKey(0)
cv2.destroyAllWindow()

代码运行后的输出结果如图所示。

以上即为利用Python和OpenCV在图像上绘制矩形的完整内容,更多关于Python OpenCV的技术资料,欢迎查阅本站其他相关文章。

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