How can l adapt evaluate_sample.py for hundred of samples ?

[Benjiou]

Hello,

Thank you for this work.
Sorry for my beginner question. I'm not used to tensorflow.

l would like to test your model on thousands of samples. How can l adapt evaluate_sample.py for multiple samples https://github.com/deepmind/kinetics-i3d/blob/master/evaluate_sample.py#L29

Thank you a lot

[joaoluiscarreira]

Hi, you can loop over line 140 (out_logits, out_predictions = sess.run ...) feeding in the different videos into feed_dict. If your videos are short, for efficiency it may be a good idea to batch multiple videos together before each sess.run call instead of processing one at a time. Joao

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On Wed, Sep 19, 2018 at 10:21 PM Bonjiou ***@***.***> wrote: Hello, Thank you for this work. Sorry for my beginner question. I'm not used to tensorflow. l would like to test your model on thousands of samples. How can l adapt evaluate_sample.py for multiple samples https://github.com/deepmind/kinetics-i3d/blob/master/evaluate_sample.py#L29 Thank you a lot — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#32>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AO6qakT_pbsv0NSi0rNbYWRFagckE1Pxks5ucrVHgaJpZM4Ww_j7> .