Not enough memory about pspnet HOT 6 OPEN

@rener1199

if input resolution is 473, then conv5_3_pool1/2/3/6_interp resolution is 60

60 * 8 = 480 ~= 473

that's the rule (with 7 pixels mismatch caused by padding/striding)

640 / 8 = 80 means conv5_3_pool1/2/3/6_interp should be 80 (or 81/82/79/78 depending on your network padding/striding)

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I believe evaluation @ 473 resolution consumes < 12gb memory

If you don't have a gpu of 12gb memory, maybe you can further reduce resolution to ~300 (like 321)

remember to modify conv5_3_pool1/2/3/6_interp accordingly

since pascal images are typically 513 resolution and this model is trained under 0.5 resolution data augmentation (according to the paper) that's around 256 resolution so i guess evaluating @ ~ 300 resolution still works. (with some performance losses).

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@Fromandto How to modify conv5_3_pool1/2/3/6_interp with a new size? such as 640?

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Hi every body,
I tried to run the code eval_all.m on a GPU with 3 GB of memory but I encountered "Out of memory error".
Did anyone run the code successfully? If the answer is yes, please explain the the steps and minimum required hardware.
If there is a way to run the code on a GPU with 3GB memory, successfully, I would appreciate if you let me know.

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@rener1199 If the crop size is N = 8x + 1, then conv5_3_pool1/2/3/6_interp would need to be set at x, for the model to run out of the box.

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a GPU with 8 GB of memory , GTX 1070 , is it enough memory to run test ?

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