这个操作可能不值钱，但却值得学习 | 【图片批量裁剪】

import os
import cv2

# 准备工作：导入库和读取图片路径以及存储图片路径
imgs_path = '/media/pzw/0E50196C0E50196C/weixin/pystudy/imgs'
dst_path = '/media/pzw/0E50196C0E50196C/weixin/pystudy/crop1'

# 1、读取图片名字
imgs_name = os.listdir(imgs_path)
print('文件夹下图片的名字：',imgs_name)

# 2、读取图片尺寸，公式定义裁剪区域
for img in imgs_name:
    image = cv2.imread(os.path.join(imgs_path,img))# 读取图片
    x,y = image.shape[0:2] # 读取图片的尺寸
    print('图片的形状',image.shape)
    # 裁剪掉x方向的前面和后面各20%，并取整
    crop_image = image[round(0.2 * x):round(0.8 * x), 0:y]
    # 3、将裁剪后的图片保存    
    cv2.imwrite(dst_path+'/'+img,crop_image)

import cv2
import numpy as np
import os


# -----------------------定义鼠标相关操作---------------------------------
lsPointsChoose = []
tpPointsChoose = []
pointsCount = 0
count = 0
pointsMax = 5 # 绘制四边形时 pointmax=5，五边形时，为6，以此类推,但需要调整部分代码


def on_mouse(event, x, y, flags, param):
    global img, point1, point2, count, pointsMax
    global lsPointsChoose, tpPointsChoose  # 存入选择的点
    global pointsCount  # 对鼠标按下的点计数
    global img2, ROI_bymouse_flag
    img2 = img.copy()  # 此行代码保证每次都重新再原图画  避免画多了
    # -----------------------------------------------------------
    #    count=count+1
    #    print("callback_count",count)
    # ------------------------------------------------------------

    if event == cv2.EVENT_LBUTTONDOWN:  # 左键点击
        pointsCount = pointsCount + 1
        print('pointsCount:', pointsCount)
        point1 = (x, y)
        print(x, y)
        # 画出点击的点
        cv2.circle(img2, point1, 10, (0, 255, 0), 2)

        # 将选取的点保存到list列表里
        lsPointsChoose.append([x, y])  # 用于转化为darry 提取多边形ROI
        tpPointsChoose.append((x, y))  # 用于画点
        # ----------------------------------------------------------
        # 将鼠标选的点用直线连起来
        print(len(tpPointsChoose))
        for i in range(len(tpPointsChoose) - 1):
            print('i', i)
            cv2.line(img2, tpPointsChoose[i], tpPointsChoose[i + 1], (0, 0, 255), 2)
        # --------------------------------------------------------
        # ----------点击到pointMax时可以提取去绘图----------------
        if (pointsCount == pointsMax):
            # -----------绘制感兴趣区域-----------
            ROI_byMouse()
            ROI_bymouse_flag = 1
            lsPointsChoose = []

        cv2.imshow('src', img2)
    # -------------------------右键按下清除轨迹-----------------------------
    if event == cv2.EVENT_RBUTTONDOWN:  # 右键点击
        print("right-mouse")
        pointsCount = 0
        tpPointsChoose = []
        lsPointsChoose = []
        print(len(tpPointsChoose))
        for i in range(len(tpPointsChoose) - 1):
            print('i', i)
            cv2.line(img2, tpPointsChoose[i], tpPointsChoose[i + 1], (0, 0, 255), 2)
        cv2.imshow('src', img2)


def ROI_byMouse():
    global src, ROI, ROI_flag, mask2, img1
    mask = np.zeros(img.shape, np.uint8)
    pts = np.array([lsPointsChoose], np.int32)  # pts是多边形的顶点列表（顶点集）
    pts = pts.reshape((-1, 1, 2))
    # 这里 reshape 的第一个参数为-1, 表明这一维的长度是根据后面的维度的计算出来的。
    # OpenCV中需要先将多边形的顶点坐标变成顶点数×1×2维的矩阵，再来绘制

    # --------------画多边形---------------------
    mask = cv2.polylines(mask, [pts], True, (255, 255, 255))
    ##-------------填充多边形---------------------
    mask2 = cv2.fillPoly(mask, [pts], (255, 255, 255))
    cv2.imshow('mask', mask2)
    # cv2.imwrite('mask.jpg', mask2)
    ROI = cv2.bitwise_and(mask2, img)
    ##-------------裁剪四边形---------------------
    print(pts)
    print('y0的值为', pts[0][0][0])
    ROI_crop = img[pts[0][0][1]:pts[2][0][1], pts[0][0][0]:pts[2][0][0]]  # 裁剪坐标为[y0:y1, x0:x1]

    cv2.imwrite(dst_path + img1, ROI_crop)
    cv2.imshow(img1, ROI)


'''批量绘制ROI区域'''
imgs_path = '/media/pzw/0E50196C0E50196C/weixin/pystudy/imgs/'
dst_path = '/media/pzw/0E50196C0E50196C/weixin/pystudy/crop2/'

if not os.path.exists(dst_path):
    os.makedirs(dst_path)
imgs = os.listdir(imgs_path)
print(imgs)
for img1 in imgs:
    img = cv2.imread(os.path.join(imgs_path,img1))

    # ---------------------------------------------------------
    # --图像预处理，设置其大小
    # height, width = img.shape[:2]
    # size = (int(width * 0.3), int(height * 0.3))
    # img = cv2.resize(img, size, interpolation=cv2.INTER_AREA)
    # ------------------------------------------------------------
    ROI = img.copy()
    cv2.namedWindow('src')
    cv2.setMouseCallback('src', on_mouse)
    #为了方便裁剪，这里对图片大小进行重新设置
    img = cv2.resize(img,(640,960),interpolation=cv2.INTER_CUBIC)
    cv2.imshow('src', img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()