Thanks.
Chris.
http://viper-toolkit.sourceforge.net/stuff/text-word/
To run this, use the command:
java -jar viper-pe.jar -epf object-all.epf -g sample-lamp.xgtf -r
lamp-text-word.xgtf -pr textdetect.pr
Basically, this does a simple evaluation of overlay text in a short
video (the lamp-moving sample available on the viper home page) where
the target/truth is marked at the line level, while the
candidate/result data is marked at the word level. This evaluation
appropriately gives a one-many match, instead of using a hungarian
match, which would only match the largest word to the line (in this
case, 'laboratory').
If you want to do a framewise evaluation, which probably makes more
sense for text detection than the object evaluation, you can substitute
this for the evaluation block:
#BEGIN_FRAMEWISE_EVALUATION
OBJECT Text [- -]
Location : matchedpixels missedpixels falsepixels \
fragmentation arearecall areaprecision \
[arearecall .7] [areaprecision .7]
#END_FRAMEWISE_EVALUATION