opened
yuanqzhang
username_0
I have my own dataset pre-trained by I3D model on Kinetics, and output the result of avg-pool layer with 1024 dims. The length of the list is processed after frame extraction.
Can I only use this RGB features as my input of the model, as the extraction of optical flow will cost too much time?
 Many thanks for the time.
Can I train my own by only using RGB features?
issue
created
frostinassiky
username_1
Hi @username_0 . Thanks for your interest in G-TAD. 

I agree with you that extracting the optical flow takes too much time. You can do as you described: only take the RGB feature as model input.
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created
ZhengLeon
username_2
Hi @username_1 
I wonder how to get the Unet_test.npy for my own dataset?
Is it come from the output proposals by your model and  the UntrimmedNet?

Thanks a lot!
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created
frostinassiky
username_1
Dear @username_2 
`uNet_test.npy` contains the classification results for each video in the test set. You can use any video classification model to produce the prediction. See #10
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created
ZhengLeon
username_2
Thanks so much for your response! @username_1
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created
yuanqzhang
username_0
many thanks
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closed
yuanqzhang
username_0
issue
created
Shuhan136
username_3
can you tell me how can i get the result of avg-pool layer with 1024 dims from RGB frame or Optical flow frame?
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