Convert transcriptions from rev into FAVE format.
Parse Json of transcriptions from rev into FAVE-align format and write to CSV.
Pip install as outlined above.
How to use
Built in Python 3.6.5, should work with Python 2 as well.
Run from the command line, option I
python -m rev_reader.rev_reader $INPUT_FOLDER $ADDITIONAL_OFFSET
$INPUT_FOLDERis a path to a directory containing some JSON files of rev annotations. The output CSVs will be written to the same directory. This is a required argument.
$ADDITIONAL_OFFSETis a number that will be added to / subtracted from the timestamps before the data is output as CSV. This is an optional argument.
For example, the command below will convert all the JSON files in the folder annotated_files and subtract 0.01 from each time stamp. It will write CSV files to folder annotated_files.
python -m rev_reader.rev_reader /home/patrick/Documents/annotated_files -.01
Run from the command line, option II
You can run the rev_reader.py file directly by executing:
python $PATH_TO_REV_READER.PY $INPUT_FOLDER $ADDITIONAL_OFFSET
For example, the command below will convert all the JSON files in the folder annotated_files . It will write CSV files to folder annotated_files.
python rev_reader.py /home/patrick/Documents/annotated_files -.01
Import into Python
You can access the functions directly from Python by doing
Refer to the Github docs for info.
The naming scheme for CSVs is $LOWERCASE_NAME_OF_INPUT_JSON + $TIMESTAMP + "_faved.csv"
For example, for input file BE.TO.017.json, the CSV file will be be.to.017_20181124-1819_faved.csv
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for rev_reader-0.0.3-py3-none-any.whl