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  • python-OpenCV 使用GrabCut来实现图片的前景与后景的分割

    先上一个效果图:

    使用Python3.7+OpenCV 3.x.

     需要引入 numpy库。

    在图上用鼠标左键和右键标记前景和后景即可.
    如果需要重新标记图像,关闭程序重新运行.

    以下是具体实现代码。

    # -*- coding:utf-8  -*-
    
    '''
        Python: 3.5.7
        opencv 3.x
    
        在图上用鼠标左键和右键标记前景和后景即可.
        如果需要重新标记图像,关闭程序重新运行.
        By Ynxf http://www.zhouws.com
    '''
    
    import cv2
    import numpy as np
    import time
    
    img_src = '../test_images/3.jpg'
    
    drawing = False
    mode = False
    
    class GrabCut:
        def __init__(self, t_img):
            self.img = t_img
            self.img_raw = img.copy()
            self.img_width = img.shape[0]
            self.img_height = img.shape[1]
            self.scale_size = 640 * self.img_width // self.img_height
            if self.img_width > 640:
                self.img = cv2.resize(self.img, (640, self.scale_size), interpolation=cv2.INTER_AREA)
            self.img_show = self.img.copy()
            self.img_gc = self.img.copy()
            self.img_gc = cv2.GaussianBlur(self.img_gc, (3, 3), 0)
            self.lb_up = False
            self.rb_up = False
            self.lb_down = False
            self.rb_down = False
            self.mask = np.full(self.img.shape[:2], 2, dtype=np.uint8)
            self.firt_choose = True
    
    
    # 鼠标的回调函数
    def mouse_event2(event, x, y, flags, param):
        global drawing, last_point, start_point
        # 左键按下:开始画图
        if event == cv2.EVENT_LBUTTONDOWN:
            drawing = True
            last_point = (x, y)
            start_point = last_point
            param.lb_down = True
            print('mouse lb down')
        elif event == cv2.EVENT_RBUTTONDOWN:
            drawing = True
            last_point = (x, y)
            start_point = last_point
            param.rb_down = True
            print('mouse rb down')
        # 鼠标移动,画图
        elif event == cv2.EVENT_MOUSEMOVE:
            if drawing:
                if param.lb_down:
                    cv2.line(param.img_show, last_point, (x,y), (0, 0, 255), 2, -1)
                    cv2.rectangle(param.mask, last_point, (x, y), 1, -1, 4)
                else:
                    cv2.line(param.img_show, last_point, (x, y), (255, 0, 0), 2, -1)
                    cv2.rectangle(param.mask, last_point, (x, y), 0, -1, 4)
                last_point = (x, y)
        # 左键释放:结束画图
        elif event == cv2.EVENT_LBUTTONUP:
            drawing = False
            param.lb_up = True
            param.lb_down = False
            cv2.line(param.img_show, last_point, (x,y), (0, 0, 255), 2, -1)
            if param.firt_choose:
                param.firt_choose = False
            cv2.rectangle(param.mask, last_point, (x,y), 1, -1, 4)
            print('mouse lb up')
        elif event == cv2.EVENT_RBUTTONUP:
            drawing = False
            param.rb_up = True
            param.rb_down = False
            cv2.line(param.img_show, last_point, (x,y), (255, 0, 0), 2, -1)
            if param.firt_choose:
                param.firt_choose = False
                param.mask = np.full(param.img.shape[:2], 3, dtype=np.uint8)
            cv2.rectangle(param.mask, last_point, (x,y), 0, -1, 4)
            print('mouse rb up')
    
    if __name__ == '__main__':
        img = cv2.imread(img_src)
        if img is None:
            print('error: 图像为空')
        g_img = GrabCut(img)
    
        cv2.namedWindow('image')
        # 定义鼠标的回调函数
        cv2.setMouseCallback('image', mouse_event2, g_img)
        while (True):
            cv2.imshow('image', g_img.img_show)
            if g_img.lb_up or g_img.rb_up:
                g_img.lb_up = False
                g_img.rb_up = False
                start = time.process_time()
                bgdModel = np.zeros((1, 65), np.float64)
                fgdModel = np.zeros((1, 65), np.float64)
    
                rect = (1, 1, g_img.img.shape[1], g_img.img.shape[0])
                print(g_img.mask)
                mask = g_img.mask
                g_img.img_gc = g_img.img.copy()
                cv2.grabCut(g_img.img_gc, mask, rect, bgdModel, fgdModel, 5, cv2.GC_INIT_WITH_MASK)
                elapsed = (time.process_time() - start)
                mask2 = np.where((mask == 2) | (mask == 0), 0, 1).astype('uint8')  # 0和2做背景
                g_img.img_gc = g_img.img_gc * mask2[:, :, np.newaxis]  # 使用蒙板来获取前景区域
                cv2.imshow('result', g_img.img_gc)
    
                print("Time used:", elapsed)
    
            # 按下ESC键退出
            if cv2.waitKey(20) == 27:
                break
    View Code

    来源: https://blog.zhouws.com/index/article/detial/id/35.html

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  • 原文地址:https://www.cnblogs.com/ynxf/p/11827342.html
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