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Coolnerdn avatar Coolnerdn commented on September 2, 2024

Hello, do you have any progress now? I have the same need. Could we discuss it?

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joaoluiscarreira avatar joaoluiscarreira commented on September 2, 2024

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Coolnerdn avatar Coolnerdn commented on September 2, 2024

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Coolnerdn avatar Coolnerdn commented on September 2, 2024

In principle the model should handle any resolution since it is convolutional. Joao

On Sat, 28 Jan 2023, 08:17 Coolnerdn, @.> wrote: Hello, do you have any progress now? I have the same need. Could we discuss it? — Reply to this email directly, view it on GitHub <#119 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ADXKU2UZYJUGAFBWDQWCX3DWUTIZFANCNFSM5KSWB4KA . You are receiving this because you are subscribed to this thread.Message ID: @.>

Thank you for the response. I want to use my own dataset to fine-tune the I3D network. Is there any requirement on the number of frames? Must it be the number of frames during training?

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joaoluiscarreira avatar joaoluiscarreira commented on September 2, 2024

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Coolnerdn avatar Coolnerdn commented on September 2, 2024

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joaoluiscarreira avatar joaoluiscarreira commented on September 2, 2024

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Coolnerdn avatar Coolnerdn commented on September 2, 2024

it should be possible to feed an arbitrary number of frames to the network, what is the error you get ? You should just have to replace the 64 constant in places like this by your number of frames: inp = tf.placeholder(tf.float32, [None, 64, IMAGE_SIZE, IMAGE_SIZE, 3]) Joao

On Sun, Jan 29, 2023 at 8:37 AM Coolnerdn @.> wrote: I see.  There is one more question.  Did you use the same number of frames when you train the network? The video lengths I use to fine-tune are not the same, so the number of frames are different and can't be fed directly into the network.  How did you solve this problem? Or did you crop the video to the same length during training? 哈哈 @.   ------------------ 原始邮件 ------------------ 发件人: "deepmind/kinetics-i3d" @.>; 发送时间: 2023年1月29日(星期天) 下午2:22 @.>; @.@.>; 主题: Re: [deepmind/kinetics-i3d] Does the video need to be cropped? (Issue #119) No, you can use a different number of frames. It may be that it will not work as well if you use fewer frames, but you'd have to try to be sure. Best, Joao On Sun, Jan 29, 2023 at 4:41 AM Coolnerdn @.***> wrote: > In principle the model should handle any resolution since it is > convolutional. Joao > … <#m
-454727744888391567
> > On Sat, 28 Jan 2023, 08:17 Coolnerdn, @.> wrote: Hello, do you have > any progress now? I have the same need. Could we discuss it? — Reply to > this email directly, view it on GitHub <#119 (comment) > < #119 (comment)>>, > or unsubscribe > https://github.com/notifications/unsubscribe-auth/ADXKU2UZYJUGAFBWDQWCX3DWUTIZFANCNFSM5KSWB4KA > < https://github.com/notifications/unsubscribe-auth/ADXKU2UZYJUGAFBWDQWCX3DWUTIZFANCNFSM5KSWB4KA> > . You are receiving this because you are subscribed to this thread.Message > ID: @.> > > Thank you for the response. I want to use my own dataset to fine-tune the > I3D network. Is there any requirement on the number of frames? Must it be > the number of frames during training? > > — > Reply to this email directly, view it on GitHub > < #119 (comment)>, > or unsubscribe > < https://github.com/notifications/unsubscribe-auth/ADXKU2RISFEA5JAWPB3RQHTWUXYHBANCNFSM5KSWB4KA> > . > You are receiving this because you commented.Message ID: > @.> > — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.> — Reply to this email directly, view it on GitHub <#119 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ADXKU2S3FZ4O6QXZWXQZZEDWUYT2ZANCNFSM5KSWB4KA . You are receiving this because you commented.Message ID: @.***>

I mean, I'm not sure how many frames I'm going to input, so I can't replace 64 with a specific number, because the number of frames could be any integer from 20 to 90. Can this data be used directly to train networks?

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joaoluiscarreira avatar joaoluiscarreira commented on September 2, 2024

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Coolnerdn avatar Coolnerdn commented on September 2, 2024

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Coolnerdn avatar Coolnerdn commented on September 2, 2024

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