Fouten bij het detecteren van objecten met Deep Learning: De .vectorize() methode van Python Raster Function gaf niets terug

NexSpace

Er treedt een fout op wanneer ik "Detect Objects Using Deep Learning" gebruik in ArcGIS Pro, het model is usa_building_footprints.dlpk dat getraind is met ArcGIS Pro 2.7.3.<\/SPAN><\/P><\/span><\/P>Verwacht gedrag<\/STRONG>
Hoe het model te laten werken.<\/P>Platform (vul alstublieft de volgende informatie in):<\/STRONG><\/P>OS: Win10<\/LI>ArcGIS Pro Versie: 2.7.3<\/SPAN><\/LI>GPU: NVIDIA Quadro P620, 4GB GPU Geheugen<\/SPAN><\/LI>Testafbeeldingsgrootte: 936MB<\/SPAN><\/LI><\/UL><\/span><\/P> <\/P> <\/P>

Tim_McGinnes

It is the error directly above that is causing the problem: RuntimeError: CUDA out of memory.

This means that all the dedicated memory on your graphics card is being used up while running the Detect Objects tool. The Batch Size parameter controls how many image segments are sent to the graphics card at once for detection. You will need to reduce the Batch Size parameter in the tool until it runs without error. I suggest setting it to 1 or 2 to begin with, and you can increase it later if required. See attached screenshot to see where the Batch Size parameter can be found.

batch_size.jpg