MME is a Python 3 command line application, which uses ExifTool (by Phil Harvey) and also has a graphical interface, runnable on Linux, MacOS and Windows.
python mme.py CSV_PATH IMAGES_PATH
Positional arguments: CSV_PATH path to the CSV file to be processed. JPGS_PATH path to the JPG files.
python3 mme.py csv/test.csv images/
Show this help message and exit.
-r ROW_PROGRESS_NOTIFY (--row-progress-notify ROW_PROGRESS_NOTIFY)
The number of rows between progress notifications. 100 by default.
-n NOTIFY_BROKEN_KEYS (--notify-broken-keys NOTIFY_BROKEN_KEYS)
Notify about broken/missing keys in the CSV. False by default.
-m MAX_DEPTH (--max-depth MAX_DEPTH)
Maximum depth of subfolders to search for JPGS. 3 by default.
To extract metadata from an image you must use ExifTool, which is provided in this repository
a. to extract VRA Core metadata:
exiftool -xmp-vrae:all image.tif
b. to extract all metadata:
exiftool -a -G1 -s image.tif
gmme' is the graphical version of mme.py. It is a python3 script (only). It does not accept arguments.
python3 gmme.py &
Embedded Metadata, Access to Digital Image Files, Open Content, Open Data, Metadata editor, Heritage
This application has been made possible thanks to the Cultural Patronage program of the Autonomous City of Buenos Aires, Argentina.
and especially to our sponsors