Python图片处理之图片裁剪教程

一、操作流程

首先复制代码会吧？

1.有张照片

这是网上随便找的一张照片，自行保存测试

2.看看照片

运行代码，其中show_img函数是展示照片

3.选择角点

按照左上，右上，右下，左下的顺序选择四个角点

如果担心自己选不好，可以直接去除我代码里的points的注释，那是我自己用的原版

4.最终结果

二、代码分析

import 没什么好说的

#如果python没有安装cv2，那么就安装python-opencv就好
import cv2 as cv
import numpy as np

获取图片的长宽

#输入cv.imread后的图片，通过点击四个点选择要裁剪的部分
def get_window_size(src, bound=600):
    h,w = src.shape[0], src.shape[1]
    if h > w:
        h, w = bound, int(w*bound/h)
    else:
        h, w = int(h*bound/w), bound
    return (h, w)

通过鼠标获取图片的坐标点，顺序是左上，右上，右下，左下

class indexer:
    def __init__(self, bound=4):
        self.id = 0
        self.bound = bound

    def get_id(self):
        self.id = (self.id + 1)
        return (self.id)


def on_event_lbuttondown(event, x, y, flags, param):
    if event == cv.event_lbuttondown:
        img = param['src']
        win_name = param['window']
        indexer = param['indexer']
        points = param['points']

        curr_id = indexer.get_id()
        points.append((x, y))
        print('第{}个顶点: ({},{})'.format(curr_id, x, y))

        cv.circle(img, (x, y), 10, (0, 0, 255), thickness=2)
        cv.puttext(
            img,
            str(curr_id),  # 文字
            (x, y),  # 坐标
            cv.font_hershey_plain,
            5,  # 字号
            (0, 0, 255),  # 字体颜色
            thickness=2  # 粗细
        )

        cv.imshow(win_name, img)

#输入cv.imread后的图片，通过点击四个点选择要裁剪的部分
def get_points(src):
    points = []
    indexer = indexer()
    h, w=get_window_size(src)
    win_name = 'get_points'
    cv.namedwindow(win_name, cv.window_normal)
    cv.resizewindow(win_name, width=w, height=h)
    cv.imshow(win_name, src)
    cv.setmousecallback(win_name, on_event_lbuttondown,
                        param={'src': src, 'window': win_name, 'indexer': indexer, 'points': points})
    cv.waitkey(0)
    cv.destroyallwindows()
    if len(points)>4:
        return points[0:4]
    # print(points)
    # points=[(2, 14), (90, 50), (87, 194), (1, 204)]
    return points

#输入cv.imread后的图片，展示图片长什么样
def show_img(src):
    win_name = 'show_img'
    h, w=get_window_size(src)
    cv.namedwindow(win_name, cv.window_normal)
    cv.resizewindow(win_name, width=w, height=h)
    cv.imshow(win_name, src)
    cv.waitkey(0)
    cv.destroyallwindows()

将图片截取，并按照指定的长宽比恢复成矩形

def photo_cut_restore(src,points,h,w):

    target_points = [(0, 0), (w, 0), (w, h), (0, h)]
    points, target_points = np.array(points, dtype=np.float32), np.array(target_points, dtype=np.float32)
    m = cv.getperspectivetransform(points, target_points)
    # print('透视变换矩阵:', m)

    result = cv.warpperspective(src_copy, m, (0, 0))
    result = result[:h, :w]
    win_name = 'result'
    cv.namedwindow(win_name, cv.window_normal)
    cv.resizewindow(win_name, width=w, height=h)
    cv.imshow(win_name,result)
    cv.waitkey(0)
    cv.destroyallwindows()
    return  result

主程序

if __name__ == '__main__':

    path = './1.jpg'
    src = cv.imread(path)
    src_copy = src.copy()

     show_img(src)


    w = 20
    h = 20
    # points=[(112, 308), (175, 310), (176, 369), (113, 369)]
    
    points=get_points(src)
    n = 20
    w = int(w * n)
    h = int(h * n)

    result=photo_cut_restore(src_copy,points,h,w)

    output_file = 'result.jpg'
    cv.imwrite(output_file, result)

三、懒人一键复制代码

诶，气不气，好不容易一段段复制完，结果最后居然有一键复制的地方

import cv2 as cv
import numpy as np

#输入cv.imread后的图片，通过点击四个点选择要裁剪的部分
def get_window_size(src, bound=600):
    h,w = src.shape[0], src.shape[1]
    if h > w:
        h, w = bound, int(w*bound/h)
    else:
        h, w = int(h*bound/w), bound
    return (h, w)


class indexer:
    def __init__(self):
        self.id = 0

    def get_id(self):
        self.id = (self.id + 1)
        return (self.id)


def on_event_lbuttondown(event, x, y, flags, param):
    if event == cv.event_lbuttondown:
        img = param['src']
        win_name = param['window']
        indexer = param['indexer']
        points = param['points']

        curr_id = indexer.get_id()
        points.append((x, y))
        print('第{}个顶点: ({},{})'.format(curr_id, x, y))

        cv.circle(img, (x, y), 10, (0, 0, 255), thickness=2)
        cv.puttext(
            img,
            str(curr_id),  # 文字
            (x, y),  # 坐标
            cv.font_hershey_plain,
            5,  # 字号
            (0, 0, 255),  # 字体颜色
            thickness=2  # 粗细
        )

        cv.imshow(win_name, img)

#输入cv.imread后的图片，通过点击四个点选择要裁剪的部分
def get_points(src):
    points = []
    indexer = indexer()
    h, w=get_window_size(src)
    win_name = 'get_points'
    cv.namedwindow(win_name, cv.window_normal)
    cv.resizewindow(win_name, width=w, height=h)
    cv.imshow(win_name, src)
    cv.setmousecallback(win_name, on_event_lbuttondown,
                        param={'src': src, 'window': win_name, 'indexer': indexer, 'points': points})
    cv.waitkey(0)
    cv.destroyallwindows()
    if len(points)>4:
        return points[0:4]
    # print(points)
    # points=[(2, 14), (90, 50), (87, 194), (1, 204)]
    return points

#输入cv.imread后的图片，展示图片长什么样
def show_img(src):
    win_name = 'show_img'
    h, w=get_window_size(src)
    cv.namedwindow(win_name, cv.window_normal)
    cv.resizewindow(win_name, width=w, height=h)
    cv.imshow(win_name, src)
    cv.waitkey(0)
    cv.destroyallwindows()

def photo_cut_restore(src,points,h,w):

    target_points = [(0, 0), (w, 0), (w, h), (0, h)]
    points, target_points = np.array(points, dtype=np.float32), np.array(target_points, dtype=np.float32)
    m = cv.getperspectivetransform(points, target_points)
    # print('透视变换矩阵:', m)

    result = cv.warpperspective(src_copy, m, (0, 0))
    result = result[:h, :w]
    win_name = 'result'
    cv.namedwindow(win_name, cv.window_normal)
    cv.resizewindow(win_name, width=w, height=h)
    cv.imshow(win_name,result)
    cv.waitkey(0)
    cv.destroyallwindows()
    return  result


if __name__ == '__main__':

    path = './3.jpg'
    src = cv.imread(path)
    src_copy = src.copy()

    # show_img(src)


    w = 20
    h = 20
    # points=[(124, 182), (181, 177), (180, 243), (125, 266)]
    points=get_points(src)
    print(points)
    n = 20
    w = int(w * n)
    h = int(h * n)

    result=photo_cut_restore(src_copy,points,h,w)

    output_file = 'result.jpg'
    cv.imwrite(output_file, result)

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