I'm training custom image data sets for object detection using caffe. Here i have train and validation directory. By using LabelImg , the object annotation created in a .xml file for each image separately (image1.xml,image2.xml etc.). Now i want to convert all this xml files into train.txt and val.txt. How can i do it? I stuck in this step since 3 weeks
218.xml
`<annotation>
<folder>train</folder>
<filename>218</filename>
<path>C:\kp\images\train\218.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>352</width>
<height>288</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>79</xmin>
<ymin>56</ymin>
<xmax>262</xmax>
<ymax>283</ymax>
</bndbox>
</object>
</annotation>`
For each image i have created annotation.xml file (image_name.xml) by using the tool. Now i need to convert it into train.txt and val.txt for input to the create LMDB. I have already gone through Caffe LMDB train and val.txt , how to make train.txt file in caffe , A guide to convert_imageset.cpp , https://github.com/chuanqi305/MobileNet-SSD/issues/90
But everything is for object classification and and others didn't explain it too.. Any suggestions or help will be appreciated
train.txt
imagepath xmlpath
image/image1.jpg label/image1.xml
image/image2.jpg label/image2.xml
image/image3.jpg label/image3.xml
image/image4.jpg label/image4.xml
...
this is train.txt or test.txt