Console Bulk Photo Upload

To bulk-upload photos to the dossier database, you can use the findface-security-uploader utility from the FindFace Security package (in addition to the web interface upload functionality). Use this utility when you need to upload a large number of photos (more than 10,000).

Tip

To view the findface-security-uploader help, execute:

findface-security-uploader --help

Do the following:

1. Write the list of photos and metastrings to a CSV or TSV file.

   Important

   The file used as a metadata source must have the following format: path to photo | metastring.

   To prepare a TSV file, use either a script or the find command.

   Note

   Both the script and the command in the examples below create the images.tsv file. Each image in the list will be associated with a metastring coinciding with the image file name in the format path to photo | metastring.

   To build a TSV file listing photos from a specified directory (/home/user/25_celeb/ in the example below), run the following command:

   python3 tsv_builder.py /home/user/25_celeb/
   

   The find usage example:

   find photos/ -type f -iname '*g' | while read x; do y="${x%.*}"; printf "%s\t%s\n" "$x" "${y##*/}"; done
   

2. Create a job file out of a CSV or TSV file by using add. As a result, a file enroll-job.db will be created and saved in a current directory.

   findface-security-uploader add images.tsv
   

   The add options:

   • --format: input file format, tsv by default,
   • --delimiter: field delimiter, by default "\t" for TSV, and "," for CSV.

   Note

   A job file represents a sqlite database which can be opened on the sqlite3 console.

3. Process the job file by using run.

   findface-security-uploader run --dossier-lists 2 --api http://127.0.0.1:80 --user admin --password password
   

   The run options:

   • --parallel: the number of photo upload threads, 10 by default. The more threads you use, the faster the bulk upload is completed, however it requires more resources too.
   • --api: findface-security API URL, http://127.0.0.1:80/ by default.
   • --user: login.
   • --password: password.
   • --dossier-lists: comma-separated list of the watch lists id’s.
   • --failed: should an error occur during the job file processing, correct the mistake and try again with this option.