8.10 azcv landmarks pipeline
20210316 The landmarks copmmand can be run inside of a loop where we might add this as meta-data to each photo within a directory with the landmark that is identified, if it is confident enough.
for f in *.jpg; do ml landmarks azcv $f | check confidence > 0.60 | add tag to image file; done
Your donation will support ongoing development and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984.
Copyright © 1995-2021 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0.