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python-OpenCV 使用GrabCut来实现图片的前景与后景的分割

时间:2019-11-09 20:07:51      阅读:198      评论:0      收藏:0      [点我收藏+]

标签:-o   ref   class   imp   float   lin   enc   rectangle   utf-8   

先上一个效果图:

技术图片

 

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。

技术图片
# -*- 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

叶念西风博客 https://www.zhouws.com

python-OpenCV 使用GrabCut来实现图片的前景与后景的分割

标签:-o   ref   class   imp   float   lin   enc   rectangle   utf-8   

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

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