size = SubElement(xmlBuilder, "size") # size标签 img = cv2.imread(img_path) Pheight, Pwidth, Pdepth = img.shape SubElement(size, "width").text = str(Pwidth) # size子标签width SubElement(size, "height").text = str(Pheight) # size子标签height SubElement(size, "depth").text = str(Pdepth) # size子标签depth
时间: 2023-12-09 07:03:28 浏览: 34
这段代码是使用Python中的ElementTree模块创建一个XML文件,并将图像的尺寸信息写入到XML文件中。具体来说,该代码通过调用cv2.imread函数读取指定路径下的图像文件,然后使用img.shape方法获取图像的高度、宽度和通道数信息,接着使用ElementTree模块中的SubElement方法创建一个名为"size"的XML标签,并在该标签下创建三个子标签"width"、"height"和"depth",分别将图像的宽度、高度和通道数信息作为子标签的文本内容写入到XML文件中。最终生成的XML文件应该包含一个名为"size"的标签和三个子标签,分别记录了该图像的宽度、高度和通道数信息。
相关问题
Pheight, Pwidth, Pdepth = img.shape SubElement(size, "width").text = str(Pwidth) # size子标签width SubElement(size, "height").text = str(Pheight) # size子标签height SubElement(size, "depth").text = str(Pdepth) # size子标签depth
这段代码是使用XML格式保存图像的尺寸信息。首先使用`shape`属性获取图像的高度、宽度和通道数,然后使用`ElementTree`库中的`SubElement`函数创建一个`size`元素,包含三个子元素`width`、`height`和`depth`,分别用于保存图像的宽度、高度和通道数。最后使用`text`属性将这些属性的值转换为字符串并分别赋值给子元素。
优化程序import os import xml.etree.ElementTree as ET def convert_txt_to_xml(txt_file, xml_file): # 创建XML根节点 root = ET.Element("annotation") # 读取txt文件内容 with open(txt_file, "r") as f: lines = f.readlines() # 创建子节点 folder = ET.SubElement(root, "folder") folder.text = "labelimg" filename = ET.SubElement(root, "filename") filename.text = os.path.splitext(os.path.basename(txt_file))[0] + ".jpg" # 循环处理每行数据 for line in lines: line = line.strip().split(" ") # 创建对象节点 object_node = ET.SubElement(root, "object") # 创建子节点 name = ET.SubElement(object_node, "name") name.text = line[0] pose = ET.SubElement(object_node, "pose") pose.text = "Unspecified" truncated = ET.SubElement(object_node, "truncated") truncated.text = "0" difficult = ET.SubElement(object_node, "difficult") difficult.text = "0" # 创建子节点(边界框) bndbox = ET.SubElement(object_node, "bndbox") xmin = ET.SubElement(bndbox, "xmin") xmin.text = line[1] ymin = ET.SubElement(bndbox, "ymin") ymin.text = line[2] xmax = ET.SubElement(bndbox, "xmax") xmax.text = line[3] ymax = ET.SubElement(bndbox, "ymax") ymax.text = line[4] # 创建XML树对象 tree = ET.ElementTree(root) # 写入XML文件 tree.write(xml_file) # 示例用法 txt_file = "txt/labels" xml_file = "txt/xml" convert_txt_to_xml(txt_file, xml_file) ,修改为对labels文件夹下的所有txt文件进行转换,转换后的xml文件并保存在xml文件夹下
你可以使用`os.listdir()`函数来获取指定路径下的所有文件,然后筛选出.txt文件进行转换。下面是优化后的代码示例:
```python
import os
import xml.etree.ElementTree as ET
def convert_txt_to_xml(txt_folder, xml_folder):
# 遍历txt文件夹下的所有txt文件
for txt_file in os.listdir(txt_folder):
if txt_file.endswith(".txt"):
# 构造txt和对应的xml文件路径
txt_path = os.path.join(txt_folder, txt_file)
xml_file = os.path.splitext(txt_file)[0] + ".xml"
xml_path = os.path.join(xml_folder, xml_file)
# 创建XML根节点
root = ET.Element("annotation")
# 读取txt文件内容
with open(txt_path, "r") as f:
lines = f.readlines()
# 创建子节点
folder = ET.SubElement(root, "folder")
folder.text = "labelimg"
filename = ET.SubElement(root, "filename")
filename.text = os.path.splitext(os.path.basename(txt_file))[0] + ".jpg"
# 循环处理每行数据
for line in lines:
line = line.strip().split(" ")
# 创建对象节点
object_node = ET.SubElement(root, "object")
# 创建子节点
name = ET.SubElement(object_node, "name")
name.text = line[0]
pose = ET.SubElement(object_node, "pose")
pose.text = "Unspecified"
truncated = ET.SubElement(object_node, "truncated")
truncated.text = "0"
difficult = ET.SubElement(object_node, "difficult")
difficult.text = "0"
# 创建子节点(边界框)
bndbox = ET.SubElement(object_node, "bndbox")
xmin = ET.SubElement(bndbox, "xmin")
xmin.text = line[1]
ymin = ET.SubElement(bndbox, "ymin")
ymin.text = line[2]
xmax = ET.SubElement(bndbox, "xmax")
xmax.text = line[3]
ymax = ET.SubElement(bndbox, "ymax")
ymax.text = line[4]
# 创建XML树对象
tree = ET.ElementTree(root)
# 写入XML文件
tree.write(xml_path)
```
示例用法:
```python
txt_folder = "txt/labels"
xml_folder = "txt/xml"
convert_txt_to_xml(txt_folder, xml_folder)
```
这样,代码会遍历`txt/labels`文件夹下的所有.txt文件,并将转换后的XML文件保存在`txt/xml`文件夹下,文件名与对应的txt文件相同但扩展名改为.xml。