Comments (2)
forresti
commented on September 23, 2024
I believe our training data is stretched so that is square 256x256. There
are certainly alternatives to this that will lead to higher accuracy
(though if you change the input dimensions a lot, you may want to retrain).
On Apr 27, 2016 8:37 PM, "Yubin Wang" [email protected] wrote:
Hi,
I have a question about the training data resolution of SqueezeNet. Is it
resized to 256x256 or with the smaller side 256 px. I have use both
resolutions to test your pretrained model. Seem 256x256 resolution get a
higher resolution.—
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#8
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austingg
commented on September 23, 2024
@forresti got it, thanks.
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