标注图像过少或需要旋转图像。
此代码xml与图像一起旋转
import os
import numpy as np
import cv2
import math
import xml.etree.ElementTree as ET
from PIL import Image
# 按角度翻转图片
def rotate_img(src, angle, scale=1):
width = src.shape[1] # 原始图像的宽
height = src.shape[0] # 原始图像的高
# 角度变弧度
re_angle = np.deg2rad(angle)
# 计算新图片的高度和宽度
new_width = (abs(np.sin(re_angle) * height) + abs(np.cos(re_angle) * width)) * scale
new_height = (abs(np.cos(re_angle) * height) + abs(np.sin(re_angle) * width)) * scale
rotate_matrix = cv2.getRotationMatrix2D((new_width * 0.5, new_height * 0.5), angle, scale)
rotate_move = np.dot(rotate_matrix, np.array([(new_width - width) * 0.5, (new_height - height) * 0.5, 0]))
# update translation
rotate_matrix[0, 2] += rotate_move[0]
rotate_matrix[1, 2] += rotate_move[1]
dst = cv2.warpAffine(img, rotate_matrix, (int(math.ceil(new_width)), int(math.ceil(new_height))),
flags=cv2.INTER_LANCZOS4)
return dst
# 翻转后的xml文件信息
def rotate_xml(src, xmin, ymin, xmax, ymax, angle, scale=1):
width = src.shape[1]
height = src.shape[0]
re_angle = np.deg2rad(angle)
new_width = (abs(np.sin(re_angle) * height) + abs(np.cos(re_angle) * width)) * scale
new_height = (abs(np.cos(re_angle) * height) + abs(np.sin(re_angle) * width)) * scale
rotate_matrix = cv2.getRotationMatrix2D((new_width * 0.5, new_height * 0.5), angle, scale)
rotate_move = np.dot(rotate_matrix, np.array([(new_width - width) * 0.5, (new_height - height) * 0.5, 0]))
rotate_matrix[0, 2] += rotate_move[0]
rotate_matrix[1, 2] += rotate_move[1]
# 获取原始矩形的四个中点，然后将这四个点转换到旋转后的坐标系下
point1 = np.dot(rotate_matrix, np.array([(xmin + xmax) / 2, ymin, 1]))
point2 = np.dot(rotate_matrix, np.array([xmax, (ymin + ymax) / 2, 1]))
point3 = np.dot(rotate_matrix, np.array([(xmin + xmax) / 2, ymax, 1]))
point4 = np.dot(rotate_matrix, np.array([xmin, (ymin + ymax) / 2, 1]))
concat = np.vstack((point1, point2, point3, point4)) # 合并np.array
# 改变array类型
concat = concat.astype(np.int32)
rx, ry, rw, rh = cv2.boundingRect(concat) # rx,ry,为新的外接框左上角坐标，rw为框宽度，rh为高度
new_xmin = rx
new_ymin = ry
new_xmax = rx + rw
new_ymax = ry + rh
return new_xmin, new_ymin, new_xmax, new_ymax
if __name__ == '__main__':
file_path = r'E:/xuanzhuan/yuantu/' # 输入路径
rotated_path = r'E:/xuanzhuan/xuanzhuanhou/' # 翻转后的路径
# 自定义翻转角度
for angle in (0,180,180): # 修改此处 （开始角度，结束角度，步长）
for file in os.listdir(file_path):
if file.endswith('.jpg'):
a, b = os.path.splitext(file)
# s=file_path + a + '.jpg'
# img = cv2.imread(s)
img = cv2.imdecode(np.fromfile(file_path + a + '.jpg', dtype=np.uint8), flags=-1) # cv2读取文件含有中文路劲问题
rotated_img = rotate_img(img, angle)
width_d = rotated_img.shape[1]
height_d = rotated_img.shape[0]
cv2.imencode('.jpg', rotated_img)[1].tofile(
rotated_path + a + '_' + str(angle) + 'd.jpg') # cv2写入文件含有中文路劲问题
# cv2.imwrite(rotated_path + a + '_' + str(angle) + 'd.jpg', rotated_img)
print(str(file) + ' ' + 'has been rotated for' + str(angle) + '°')
if file.endswith('.xml'):
src = cv2.imdecode(np.fromfile(file_path + a + '.jpg', dtype=np.uint8), flags=-1)
tree = ET.parse(file_path + a + '.xml')
root = tree.getroot()
root.find('folder').text = 'rotated_img_xml'
root.find('filename').text = a + '_' + str(angle) + 'd.jpg'
root.find('path').text = 'C:/Users/Lenovo/Desktop/zonggai/' + a + '_' + str(angle) + 'd.jpg'
root.find("size").find('width').text = str(width_d)
root.find("size").find('height').text = str(height_d)
# 修改xml中的标签坐标信息
for box in root.iter('bndbox'):
xmin = float(box.find('xmin').text)
ymin = float(box.find('ymin').text)
xmax = float(box.find('xmax').text)
ymax = float(box.find('ymax').text)
new_xmin, new_ymin, new_xmax, new_ymax = rotate_xml(src, xmin, ymin, xmax, ymax, angle)
box.find('xmin').text = str(max(new_xmin, 0))
box.find('ymin').text = str(max(new_ymin, 0))
box.find('xmax').text = str(min(new_xmax, width_d))
box.find('ymax').text = str(min(new_ymax, height_d))
tree.write(rotated_path + a + '_' + str(angle) + 'd.xml')
print(str(file) + ' ' + 'has been rotated for ' + str(angle) + '°')
