Some python tools to work with annotation created with labelme
Tool shows image with labels on the screen.
Example of input image:
Example of Annotaion XML:
<annotation>
<filename>000092.jpg</filename>
<folder>fire</folder>
<source>
<sourceImage>The MIT-CSAIL database of objects and scenes</sourceImage>
<sourceAnnotation>LabelMe Webtool</sourceAnnotation>
</source>
<object>
<name>fire</name>
<deleted>0</deleted>
<verified>0</verified>
<occluded>no</occluded>
<attributes/>
<parts>
<hasparts/>
<ispartof/>
</parts>
<date>18-Dec-2017 13:40:42</date>
<id>0</id>
<polygon>
<username>test</username>
<pt>
<x>776</x>
<y>671</y>
</pt>
<pt>
<x>923</x>
<y>642</y>
</pt>
<pt>
<x>966</x>
<y>638</y>
</pt>
<pt>
<x>864</x>
<y>569</y>
</pt>
<pt>
<x>863</x>
<y>490</y>
</pt>
<pt>
<x>790</x>
<y>477</y>
</pt>
<pt>
<x>769</x>
<y>484</y>
</pt>
<pt>
<x>760</x>
<y>550</y>
</pt>
<pt>
<x>712</x>
<y>604</y>
</pt>
</polygon>
</object>
<object>
<name>fire</name>
<deleted>0</deleted>
<verified>0</verified>
<occluded>no</occluded>
<attributes/>
<parts>
<hasparts/>
<ispartof/>
</parts>
<date>18-Dec-2017 13:40:48</date>
<id>1</id>
<polygon>
<username>test</username>
<pt>
<x>868</x>
<y>454</y>
</pt>
<pt>
<x>969</x>
<y>484</y>
</pt>
<pt>
<x>1048</x>
<y>450</y>
</pt>
<pt>
<x>974</x>
<y>373</y>
</pt>
<pt>
<x>869</x>
<y>382</y>
</pt>
<pt>
<x>784</x>
<y>400</y>
</pt>
</polygon>
</object>
<object>
<name>fire</name>
<deleted>0</deleted>
<verified>0</verified>
<occluded>no</occluded>
<attributes/>
<parts>
<hasparts/>
<ispartof/>
</parts>
<date>18-Dec-2017 13:40:52</date>
<id>2</id>
<polygon>
<username>test</username>
<pt>
<x>1028</x>
<y>639</y>
</pt>
<pt>
<x>1075</x>
<y>552</y>
</pt>
<pt>
<x>1107</x>
<y>573</y>
</pt>
<pt>
<x>1107</x>
<y>623</y>
</pt>
<pt>
<x>1085</x>
<y>663</y>
</pt>
<pt>
<x>1045</x>
<y>680</y>
</pt>
</polygon>
</object>
<object>
<name>fire</name>
<deleted>0</deleted>
<verified>0</verified>
<occluded>no</occluded>
<attributes/>
<parts>
<hasparts/>
<ispartof/>
</parts>
<date>18-Dec-2017 13:40:58</date>
<id>3</id>
<polygon>
<username>test</username>
<pt>
<x>769</x>
<y>349</y>
</pt>
<pt>
<x>811</x>
<y>330</y>
</pt>
<pt>
<x>833</x>
<y>287</y>
</pt>
<pt>
<x>834</x>
<y>216</y>
</pt>
<pt>
<x>803</x>
<y>222</y>
</pt>
<pt>
<x>785</x>
<y>238</y>
</pt>
</polygon>
</object>
<imagesize>
<nrows/>
<ncols/>
</imagesize>
</annotation>
usage: show_labelme.py image.jpg labelme.xml
- e.g. test_show_labelme.sh
Tool renders same image as show_labelme, but into output.jpg
usage: save_labelme.py image.jpg labelme.xml output.jpg
- e.g. save_all_labels.sh
usage: save_labelme_samples.py image.jpg labelme.xml outputdir class
- walk over image with window 48x48 and step 16x16
- check if center pixel is in class defined in argv
- renders every such region in separate picture
- downscale twice and repeat when possible
- e.g. test_samples.sh
- e.g. save_all_samples.sh