extract
Extract images from video according to annotation file
python extract.py --video_directory <video_directory> --annotations <annotation_file>
options:
-a --annotations Annotation file (csv, required)
-d --clips_cirectory Output directory for clips (default ./clips/)
-c --crop Numbers of pixels to crop from top (default 50)
-f --fps Extracted frame rate per second (default 5)
-m --clips Store clips (instead of stills, fps arg ignored, default False)
-o --offset Windows offset from event start in seconds(default -10)
-s --stills_directory Output directory (default ./stills/)
-v --video_directory Video directory (required)
-w --window Extracted window in seconds (default 20)
The annotation csv must implement following columns:
filename ... name of the videofile in which event can be found
start ... start timestamp of the videofile
event ... event timestamp
label ... event label
Edit config.mapping to map an annotation file with different columns names
This script required Python 3.6 or higher.
Install dependencies with
pip3 install -r requirements.txt
Activate the virtual environment
source ~/scripts/env3/bin/activate
And finally here is an example storing still images:
$ python extract.py -v /home/devuser/data/AFMA/AUCF03-012029-181111_202044/videos -a /home/devuser/data/AFMA/AUCF03-012029-181111_202044/AUCF03-12029_labels_v010.csv -s /home/devuser/data/AFMA/test_stills -o -10 -w 20 -f 3
This is another example storing movie clips (-m option):
$ python extract.py -v /home/devuser/data/AFMA/AUCF03-012029-181111_202044/videos -a /home/devuser/data/AFMA/AUCF03-012029-181111_202044/AUCF03-12029_labels_v010.csv -s /home/devuser/data/AFMA/test_stills -o -10 -w 20 -m