Open 51N84D opened 4 years ago
Any investigation result to understand why this is hapenning?
I'm still investigating, but I believe it's an issue on the dataloading side. Interestingly, I noticed this in my latest MaskGenerator experiments.
Would it make sense that resizing/transforming a very large image (like the simulated data) takes a long time?
We can figure this out easily by resizing all of the images up front :)
On Tue., Apr. 7, 2020, 5:00 p.m. Sunand Raghupathi, < notifications@github.com> wrote:
I'm still investigating, but I believe it's an issue on the dataloading side. Interestingly, I noticed this in my latest MaskGenerator experiments.
Would it make sense that resizing/transforming a very large image (like the simulated data) takes a long time?
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Also @51N84D if you write a test case for that you should be able to figure it out: data loading should not take more than a forward pass I think
The addition of simulated data (with domain adaptation) to the flood generator makes training significantly slower