Comments (1)
Sorry for the late answer!
You will need to write your own script for that. The field id
is the video name; actions
is a collection of actions class ts te
separated by ';', where ts
is the start time and te
the end time. Finally, length
is the length of the video in seconds.
For many action recognition datasets, no ts
or te
are given, so you may just set them to 0.0 and the length of the video (in s).
Your code could look sth like this (python):
lines_annotation = [l.strip() for l in open( INPUT_FILE )]
output_file = open( OUTPUT_FILE, 'w' )
output_file.write( "id,actions,length\n" )
for l in lines_annotation:
tokens = l.split( ... ) # Split by some character. Which one depends on dataset.
video_name = tokens[ ... ]
class_id = ...
ts = ...
te = ...
len_in_s = ...
output_file.write( video_name + "," + class_id + " " + ts + " " + te + "," + len_in_s + "\n" )
output_file.close()
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