【发布时间】:2018-11-27 17:04:02
【问题描述】:
我已经为场景文本检测生成了大约 7000 张图像和基本事实。我想在文本框上进行训练。模型希望注释格式为 xml 格式,具体来说,这就是它的样子。
<?xml version="1.0" encoding="utf-8"?>
<annotation>
<object>
<difficult>1</difficult>
<content>###</content>
<name>text</name>
<bndbox>
<x1>261</x1>
<y1>138</y1>
<x2>284</x2>
<y2>140</y2>
<x3>279</x3>
<y3>158</y3>
<x4>260</x4>
<y4>158</y4>
<xmin>260</xmin>
<ymin>138</ymin>
<xmax>284</xmax>
<ymax>158</ymax>
</bndbox>
</object>
<object>
<difficult>0</difficult>
<content>HarbourFront</content>
<name>text</name>
<bndbox>
<x1>288</x1>
<y1>138</y1>
<x2>417</x2>
<y2>140</y2>
<x3>416</x3>
<y3>161</y3>
<x4>290</x4>
<y4>157</y4>
<xmin>288</xmin>
<ymin>138</ymin>
<xmax>417</xmax>
<ymax>161</ymax>
</bndbox>
</object>
<object>
<difficult>0</difficult>
<content>CC22</content>
<name>text</name>
<bndbox>
我有大约 7000 个文本,每个图像一个,示例文本文件内容如下所示
135,34,210,34,210,57,135,57,Tobii
224,34,321,34,321,57,224,57,TX300
335,34,388,34,388,63,335,63,Eye
400,34,517,34,517,57,400,57,Tracker
140,67,171,67,171,80,140,80,300
181,66,202,66,202,80,181,80,###
212,66,294,66,294,83,212,83,sampling
305,67,337,67,337,80,305,80,rate
140,85,171,85,171,99,140,99,and
180,85,251,85,251,99,180,99,freedom
259,85,275,85,275,99,259,99,###
282,87,373,87,373,99,282,99,movement
无论如何我可以将这些文本文件内容转换为上面显示的 xml 格式吗? 任何建议都会非常有帮助。在此先感谢。
【问题讨论】:
标签: python xml deep-learning