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Hi! Thanks for releasing the code! I am having some trouble preparing my own dataset.
In function read_videos_and_save_tf_records():
I think one sequence corresponds to the frames of one video file(for example 1.avi) ,and the function
save_tf_record() save these frames to a .tfrecord file(e.g 1.tfrecord).
However, in the function save_tf_record():
It seems one sequence corresponds to >= 1 video files. I am confused by it,
Can you help me? Thanks!
The text was updated successfully, but these errors were encountered:
That's right, the function save_tf_record can save multiple sequences corresponding to multiple files. However, this function was always just called with a single sequence.
This turned out to be quite inefficient. I have updated the master branch with several improvements, one of which is in the preprocessing of the KTH dataset. In the new version, you should see that sequences_per_file=128 video sequences are saved in each tfrecord file.
Also, after you pull my changes, make sure to pip install -r requirements.txt again since there is one new dependency.
Hi! Thanks for releasing the code! I am having some trouble preparing my own dataset.
In function read_videos_and_save_tf_records():
I think one sequence corresponds to the frames of one video file(for example 1.avi) ,and the function
save_tf_record() save these frames to a .tfrecord file(e.g 1.tfrecord).
However, in the function save_tf_record():
It seems one sequence corresponds to >= 1 video files. I am confused by it,
Can you help me? Thanks!
The text was updated successfully, but these errors were encountered: