图像数据旋转+翻转

旋转（VOC格式）

代码：

import cv2
import math
import numpy as np
import os
import glob
import json
import shutil
import xml.etree.ElementTree as ET
from xml.etree.ElementTree import ElementTree, Element

def getRotatedImg(Pi_angle,img_path,img_write_path):
    img = cv2.imread(img_path)
    rows, cols = img.shape[:2]
    a, b = cols / 2, rows / 2
    M = cv2.getRotationMatrix2D((a, b), angle, 1)
    rotated_img = cv2.warpAffine(img, M, (cols, rows))  # 旋转后的图像保持大小不变
    cv2.imwrite(img_write_path,rotated_img)
    return a,b

def getRotatedAnno(Pi_angle,a,b,anno_path,anno_write_path):
    tree = ET.parse(anno_path)
    root = tree.getroot()
    objects = root.findall("object")
    for obj in objects:
        bbox = obj.find('bndbox')
        x1 = float(bbox.find('xmin').text) - 1
        y1 = float(bbox.find('ymin').text) - 1
        x2 = float(bbox.find('xmax').text) - 1
        y2 = float(bbox.find('ymax').text) - 1

        x3=x1
        y3=y2
        x4=x2
        y4=y1

        X1 = (x1 - a) * math.cos(Pi_angle) - (y1 - b) * math.sin(Pi_angle) + a
        Y1 = (x1 - a) * math.sin(Pi_angle) + (y1 - b) * math.cos(Pi_angle) + b

        X2 = (x2 - a) * math.cos(Pi_angle) - (y2 - b) * math.sin(Pi_angle) + a
        Y2 = (x2 - a) * math.sin(Pi_angle) + (y2 - b) * math.cos(Pi_angle) + b

        X3 = (x3 - a) * math.cos(Pi_angle) - (y3 - b) * math.sin(Pi_angle) + a
        Y3 = (x3 - a) * math.sin(Pi_angle) + (y3 - b) * math.cos(Pi_angle) + b

        X4 = (x4 - a) * math.cos(Pi_angle) - (y4 - b) * math.sin(Pi_angle) + a
        Y4 = (x4 - a) * math.sin(Pi_angle) + (y4 - b) * math.cos(Pi_angle) + b

        X_MIN=min(X1,X2,X3,X4)
        X_MAX = max(X1, X2, X3, X4)
        Y_MIN = min(Y1, Y2, Y3, Y4)
        Y_MAX = max(Y1, Y2, Y3, Y4)

        bbox.find('xmin').text=str(int(X_MIN))
        bbox.find('ymin').text=str(int(Y_MIN))
        bbox.find('xmax').text=str(int(X_MAX))
        bbox.find('ymax').text=str(int(Y_MAX))

    tree.write(anno_write_path)  # 保存修改后的XML文件

def rotate(angle,img_dir,anno_dir,img_write_dir,anno_write_dir):
    if not os.path.exists(img_write_dir):
        os.makedirs(img_write_dir)

    if not os.path.exists(anno_write_dir):
        os.makedirs(anno_write_dir)

    Pi_angle = -angle * math.pi / 180.0  # 弧度制，后面旋转坐标需要用到，注意负号！！！
    img_names=os.listdir(img_dir)
    for img_name in img_names:
        img_path=os.path.join(img_dir,img_name)
        img_write_path=os.path.join(img_write_dir,img_name[:-4]+'R'+str(angle)+'.jpg')
        #
        anno_path=os.path.join(anno_dir,img_name[:-4]+'.xml')
        anno_write_path = os.path.join(anno_write_dir, img_name[:-4]+'R'+str(angle)+'.xml')
        #
        a,b=getRotatedImg(Pi_angle,img_path,img_write_path)
        getRotatedAnno(Pi_angle,a,b,anno_path,anno_write_path)


# 旋转角度
angle = 1
# 原始图片地址
img_dir = r'C:\Users\Swag-cc\Desktop\graduate\VOCdevkit-1\VOC2007\JPEGImages'
# 原始标签地址
anno_dir = r'C:\Users\Swag-cc\Desktop\graduate\VOCdevkit-1\VOC2007\Annotations'
# 旋转后图片地址
img_write_dir = r'C:\Users\Swag-cc\Desktop\graduate\VOCdevkit-1\VOC2007\new_images'
# 旋转后标签地址
anno_write_dir = r'C:\Users\Swag-cc\Desktop\graduate\VOCdevkit-1\VOC2007\new_annotations'

rotate(angle, img_dir, anno_dir, img_write_dir, anno_write_dir)

翻转

from PIL import Image
import os
import os.path

# rootdir = r'D:\用户目录\我的图片\From Yun\背景图\背景图'  # 指明被遍历的文件夹
rootdir = r'C:\Users\Swag-cc\Desktop\graduate\VOCdevkit-1\VOC2007\new_images'

for parent, dirnames, filenames in os.walk(rootdir):  # 遍历图片
    for filename in filenames:
        print('parent is :' + parent)
        print('filename is :' + filename)
        currentPath = os.path.join(parent, filename)
        print('the fulll name of the file is :' + currentPath)

        im = Image.open(currentPath)
        out = im.transpose(Image.FLIP_LEFT_RIGHT)  # 实现翻转
        # newname=r"D:\用户目录\我的图片\From Yun\背景图\背景图反转"+'\\'+filename+"(1).jpg"
        newname = r"C:\Users\Swag-cc\Desktop\graduate\VOCdevkit-1\VOC2007\new_images\transpose" + '\\' + filename + '_new'+'.jpg'  # 重新命名
        out.save(newname)  # 保存结束
        # im = Image.open(r'C:\Users\Administrator\Desktop\新建文件夹 (2)\1.jpg')
        # out = im.transpose(Image.FLIP_LEFT_RIGHT)
        # out.save(r'C:\Users\Administrator\Desktop\新建文件夹 (2)\test2.jpg')