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Data format #19

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trucleduc opened this issue Jan 23, 2017 · 1 comment
Open

Data format #19

trucleduc opened this issue Jan 23, 2017 · 1 comment

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@trucleduc
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Does anyone know how data is stored in both Moving MNIST and UFC101 datasets? I want to try on my own data.

Thanks,

@Nd-sole
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Nd-sole commented Mar 8, 2018

Hi,
I am reframing my question, I got the structure of your data in .h5 file as
Dataset 'test'
Size: 784x10000
MaxSize: 784x10000
Datatype: H5T_IEEE_F32LE (single)
ChunkSize: []
Filters: none
FillValue: 0.000000
Dataset 'test_labels'
Size: 10000
MaxSize: 10000
Datatype: H5T_STD_I64LE (int64)
ChunkSize: []
Filters: none
FillValue: 0
Dataset 'train'
Size: 784x50000
MaxSize: 784x50000
Datatype: H5T_IEEE_F32LE (single)
ChunkSize: []
Filters: none
FillValue: 0.000000
Dataset 'train_full'
Size: 784x60000
MaxSize: 784x60000
Datatype: H5T_IEEE_F32LE (single)
ChunkSize: []
Filters: none
FillValue: 0.000000
Dataset 'train_full_labels'
Size: 60000
MaxSize: 60000
Datatype: H5T_STD_I64LE (int64)
ChunkSize: []
Filters: none
FillValue: 0
Dataset 'train_labels'
Size: 50000
MaxSize: 50000
Datatype: H5T_STD_I64LE (int64)
ChunkSize: []
Filters: none
FillValue: 0
Dataset 'validation'
Size: 784x10000
MaxSize: 784x10000
Datatype: H5T_IEEE_F32LE (single)
ChunkSize: []
Filters: none
FillValue: 0.000000
Dataset 'validation_labels'
Size: 10000
MaxSize: 10000
Datatype: H5T_STD_I64LE (int64)
ChunkSize: []
Filters: none
FillValue: 0

I wanted to know how can I get a similar structure for my data? Could you give me some hint, how I could progress, Also, what do you mean by train, train_full, train_full_labels, Thanks :)

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