Python OpenCV实现鼠标画框

分手后的思念是犯贱 2022-03-16 14:58 502阅读 0赞

# Python OpenCV实现鼠标画框 #

使用Python+OpenCV实现鼠标画框的代码：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9wYW5qaW5xdWFuLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70][]

# -*-coding: utf-8 -*-
    """
        @Project: IntelligentManufacture
        @File   : user_interaction.py
        @Author : panjq
        @E-mail : pan_jinquan@163.com
        @Date   : 2019-02-21 15:03:18
    """
    # -*- coding: utf-8 -*-
    
    import cv2
    from utils import image_processing
    import numpy as np
    global img
    global point1, point2
    global g_rect
    
    def on_mouse(event, x, y, flags, param):
        global img, point1, point2,g_rect
        img2 = img.copy()
        if event == cv2.EVENT_LBUTTONDOWN:  # 左键点击,则在原图打点
            print("1-EVENT_LBUTTONDOWN")
            point1 = (x, y)
            cv2.circle(img2, point1, 10, (0, 255, 0), 5)
            cv2.imshow('image', img2)
    
        elif event == cv2.EVENT_MOUSEMOVE and (flags & cv2.EVENT_FLAG_LBUTTON):  # 按住左键拖曳，画框
            print("2-EVENT_FLAG_LBUTTON")
            cv2.rectangle(img2, point1, (x, y), (255, 0, 0), thickness=2)
            cv2.imshow('image', img2)
    
        elif event == cv2.EVENT_LBUTTONUP:  # 左键释放，显示
            print("3-EVENT_LBUTTONUP")
            point2 = (x, y)
            cv2.rectangle(img2, point1, point2, (0, 0, 255), thickness=2)
            cv2.imshow('image', img2)
            if point1!=point2:
                min_x = min(point1[0], point2[0])
                min_y = min(point1[1], point2[1])
                width = abs(point1[0] - point2[0])
                height = abs(point1[1] - point2[1])
                g_rect=[min_x,min_y,width,height]
                cut_img = img[min_y:min_y + height, min_x:min_x + width]
                cv2.imshow('ROI', cut_img)
    
    def get_image_roi(rgb_image):
        '''
        获得用户ROI区域的rect=[x,y,w,h]
        :param rgb_image:
        :return:
        '''
        bgr_image = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2BGR)
        global img
        img=bgr_image
        cv2.namedWindow('image')
        while True:
            cv2.setMouseCallback('image', on_mouse)
            # cv2.startWindowThread()  # 加在这个位置
            cv2.imshow('image', img)
            key=cv2.waitKey(0)
            if key==13 or key==32:#按空格和回车键退出
                break
        cv2.destroyAllWindows()
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        return g_rect
    
    def select_user_roi(image_path):
        '''
        由于原图的分辨率较大，这里缩小后获取ROI，返回时需要重新scale对应原图
        :param image_path:
        :return:
        '''
        orig_image = image_processing.read_image(image_path)
        orig_shape = np.shape(orig_image)
        resize_image = image_processing.resize_image(orig_image, resize_height=800,resize_width=None)
        re_shape = np.shape(resize_image)
        g_rect=get_image_roi(resize_image)
        orgi_rect = image_processing.scale_rect(g_rect, re_shape,orig_shape)
        roi_image=image_processing.get_rect_image(orig_image,orgi_rect)
        image_processing.cv_show_image("RECT",roi_image)
        image_processing.show_image_rect("image",orig_image,orgi_rect)
        return orgi_rect
    
    
    if __name__ == '__main__':
        # image_path="../dataset/images/IMG_0007.JPG"
        image_path="../dataset/test_images/lena.jpg"
    
        # rect=get_image_roi(image)
        rect=select_user_roi(image_path)
        print(rect)

其中image\_processing.py文件如下：

# -*-coding: utf-8 -*-
    """
        @Project: IntelligentManufacture
        @File   : image_processing.py
        @Author : panjq
        @E-mail : pan_jinquan@163.com
        @Date   : 2019-02-14 15:34:50
    """
    
    import os
    import glob
    import cv2
    import numpy as np
    import matplotlib.pyplot as plt
    
    def show_image(title, image):
        '''
        调用matplotlib显示RGB图片
        :param title: 图像标题
        :param image: 图像的数据
        :return:
        '''
        # plt.figure("show_image")
        # print(image.dtype)
        plt.imshow(image)
        plt.axis('on')  # 关掉坐标轴为 off
        plt.title(title)  # 图像题目
        plt.show()
    
    def cv_show_image(title, image):
        '''
        调用OpenCV显示RGB图片
        :param title: 图像标题
        :param image: 输入RGB图像
        :return:
        '''
        channels=image.shape[-1]
        if channels==3:
            image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)  # 将BGR转为RGB
        cv2.imshow(title,image)
        cv2.waitKey(0)
    
    def read_image(filename, resize_height=None, resize_width=None, normalization=False):
        '''
        读取图片数据,默认返回的是uint8,[0,255]
        :param filename:
        :param resize_height:
        :param resize_width:
        :param normalization:是否归一化到[0.,1.0]
        :return: 返回的RGB图片数据
        '''
    
        bgr_image = cv2.imread(filename)
        # bgr_image = cv2.imread(filename,cv2.IMREAD_IGNORE_ORIENTATION|cv2.IMREAD_COLOR)
        if bgr_image is None:
            print("Warning:不存在:{}", filename)
            return None
        if len(bgr_image.shape) == 2:  # 若是灰度图则转为三通道
            print("Warning:gray image", filename)
            bgr_image = cv2.cvtColor(bgr_image, cv2.COLOR_GRAY2BGR)
    
        rgb_image = cv2.cvtColor(bgr_image, cv2.COLOR_BGR2RGB)  # 将BGR转为RGB
        # show_image(filename,rgb_image)
        # rgb_image=Image.open(filename)
        rgb_image = resize_image(rgb_image,resize_height,resize_width)
        rgb_image = np.asanyarray(rgb_image)
        if normalization:
            # 不能写成:rgb_image=rgb_image/255
            rgb_image = rgb_image / 255.0
        # show_image("src resize image",image)
        return rgb_image
    def resize_image(image,resize_height, resize_width):
        '''
        :param image:
        :param resize_height:
        :param resize_width:
        :return:
        '''
        image_shape=np.shape(image)
        height=image_shape[0]
        width=image_shape[1]
        if (resize_height is None) and (resize_width is None):#错误写法：resize_height and resize_width is None
            return image
        if resize_height is None:
            resize_height=int(height*resize_width/width)
        elif resize_width is None:
            resize_width=int(width*resize_height/height)
        image = cv2.resize(image, dsize=(resize_width, resize_height))
        return image
    def scale_image(image,scale):
        '''
        :param image:
        :param scale: (scale_w,scale_h)
        :return:
        '''
        image = cv2.resize(image,dsize=None, fx=scale[0],fy=scale[1])
        return image
    
    
    def get_rect_image(image,rect):
        '''
        :param image:
        :param rect: [x,y,w,h]
        :return:
        '''
        x, y, w, h=rect
        cut_img = image[y:(y+ h),x:(x+w)]
        return cut_img
    def scale_rect(orig_rect,orig_shape,dest_shape):
        '''
        对图像进行缩放时，对应的rectangle也要进行缩放
        :param orig_rect: 原始图像的rect=[x,y,w,h]
        :param orig_shape: 原始图像的维度shape=[h,w]
        :param dest_shape: 缩放后图像的维度shape=[h,w]
        :return: 经过缩放后的rectangle
        '''
        new_x=int(orig_rect[0]*dest_shape[1]/orig_shape[1])
        new_y=int(orig_rect[1]*dest_shape[0]/orig_shape[0])
        new_w=int(orig_rect[2]*dest_shape[1]/orig_shape[1])
        new_h=int(orig_rect[3]*dest_shape[0]/orig_shape[0])
        dest_rect=[new_x,new_y,new_w,new_h]
        return dest_rect
    
    def show_image_rect(win_name,image,rect):
        '''
        :param win_name:
        :param image:
        :param rect:
        :return:
        '''
        x, y, w, h=rect
        point1=(x,y)
        point2=(x+w,y+h)
        cv2.rectangle(image, point1, point2, (0, 0, 255), thickness=2)
        cv_show_image(win_name, image)
    
    def rgb_to_gray(image):
        image = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
        return image
    
    def save_image(image_path, rgb_image,toUINT8=True):
        if toUINT8:
            rgb_image = np.asanyarray(rgb_image * 255, dtype=np.uint8)
        if len(rgb_image.shape) == 2:  # 若是灰度图则转为三通道
            bgr_image = cv2.cvtColor(rgb_image, cv2.COLOR_GRAY2BGR)
        else:
            bgr_image = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2BGR)
        cv2.imwrite(image_path, bgr_image)
    
    def combime_save_image(orig_image, dest_image, out_dir,name,prefix):
        '''
        命名标准：out_dir/name_prefix.jpg
        :param orig_image:
        :param dest_image:
        :param image_path:
        :param out_dir:
        :param prefix:
        :return:
        '''
        dest_path = os.path.join(out_dir, name + "_"+prefix+".jpg")
        save_image(dest_path, dest_image)
    
        dest_image = np.hstack((orig_image, dest_image))
        save_image(os.path.join(out_dir, "{}_src_{}.jpg".format(name,prefix)), dest_image)
    
    if __name__=="__main__":
        image_path="../dataset/test_images/src.jpg"
        image = read_image(image_path, resize_height=None, resize_width=None)
        image = rgb_to_gray(image)
        orig_shape=np.shape(image)#shape=(h,w)
        orig_rect=[50,100,100,200]#x,y,w,h
        print("orig_shape:{}".format(orig_shape))
        show_image_rect("orig",image,orig_rect)
    
        dest_image=resize_image(image,resize_height=None,resize_width=200)
        dest_shape=np.shape(dest_image)
        print("dest_shape:{}".format(dest_shape))
        dest_rect=scale_rect(orig_rect, orig_shape, dest_shape)
        show_image_rect("dest",dest_image,dest_rect)

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9wYW5qaW5xdWFuLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70]: /images/20220316/65985af8b3274b219558fb42c0a3bbd7.png