Deep Learningを使用したオブジェクト検出エラー: Python Raster Functionの.vectorize()メソッドが何も返しませんでした

NexSpace

ArcGIS Proで「Detect Objects Using Deep Learning」を使用するとエラーが発生します。モデルはArcGIS Pro 2.7.3でトレーニングされたusa_building_footprints.dlpkです。<\/SPAN><\/P><\/span><\/P>期待される動作<\/STRONG>
モデルを正常に動作させる方法。<\/P>プラットフォーム（以下の情報をすべてご記入ください）:<\/STRONG><\/P>OS: Win10<\/LI>ArcGIS Pro バージョン: 2.7.3<\/SPAN><\/LI>GPU: NVIDIA Quadro P620、4GB GPUメモリ<\/SPAN><\/LI>テスト画像サイズ: 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