Comments (1)
Hi @muntahi398 ,
thanks for reaching out! First of all, your GPU has 8 GB of memory and the NVidia driver allows up to 2 GB per image. That's why it says "exceeds your GPUs capabilities (max 2.0 gigabytes)." in the error message. The question is now, why does it try to generate a 3.6 GB image even though your image appears to be 1 GB. I presume, you preprocess an 8-bit input image before sending it to the non-local-means-filter where it is turned into a 32 bit float image that is four times as large as the original input image. Can you cross-check that by calling 'Ext.CLIJ2_pull(<nlm_input_image>)' before calling NLM? Otherwise, it would be great if you could provide a minimum working example allowing me to reproduce your issue.
Furthermore, please note that there is currently an error in the NLM code, as discussed here which I didn't find time for yet to fix. Thus, if you manage to run the filter, it may not work properly anyway. Also note that the NLM is part of clijX, where the X stands for eXperimental. Please be a bit careful with experimental stuff.
Let me know if this helps!
Best,
Robert
from clij2.
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