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Extracted Features #18

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Strike1999 opened this issue Dec 9, 2024 · 3 comments
Open

Extracted Features #18

Strike1999 opened this issue Dec 9, 2024 · 3 comments

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@Strike1999
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What a great work!

Could you provide the teachers' extracted features (e.g., SAM) for ImageNet? The extraction process is quite time-consuming for me due to limited computing resources.

Thanks.

@elicassion
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Hi @Strike1999

Unfortunately, SAM features are too large to upload (TB level for ImageNet-1k) :(

@Hermine-D
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Hermine-D commented Dec 17, 2024

Hi @Strike1999

Unfortunately, SAM features are too large to upload (TB level for ImageNet-1k) :(

@elicassion Can you provide the memory usage of SAM features? For example, 7TB or others. Because I'm not sure whether I have enough space to save features . Thank you very much.

@Strike1999
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Hi @Strike1999
Unfortunately, SAM features are too large to upload (TB level for ImageNet-1k) :(

Can you provide the memory usage of SAM features? For example, 7TB or others. Because I'm not sure whether I have enough space to save features . Thank you very much.

The features saved by Depth-Anything require 328GB, and the size of SAM features is 8 times that of Depth-Anything features, so I estimate the memory usage of SAM to be about 2.6TB.

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