小编给大家分享一下Python+OpenCV如何实现在图像上绘制矩形,希望大家阅读完这篇文章之后都有所收获,下面让我们一起去探讨吧!
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()
运行效果
补充
当然Python+OpenCV不仅能做到在图像上绘制任意大小矩形,还能实现鼠标点击图像时会显示其坐标值
下面是实现代码
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()
运行结果:
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