fix(growcut): memory limit issue (#1672)

* try this * example info
cornerstonejs · Dec 4, 2024 · 2516e64 · 2516e64
1 parent 5d6fbf0
commit 2516e64
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Showing 2 changed files with 6 additions and 2 deletions.
diff --git a/packages/tools/src/utilities/segmentation/growCut/runGrowCut.ts b/packages/tools/src/utilities/segmentation/growCut/runGrowCut.ts
@@ -4,7 +4,7 @@ import type { Types } from '@cornerstonejs/core';
 import shaderCode from './growCutShader';
 
 const GB = 1024 * 1024 * 1024;
-const WEBGPU_MEMORY_LIMIT = 2 * GB;
+const WEBGPU_MEMORY_LIMIT = 1.99 * GB;
 
 const DEFAULT_GROWCUT_OPTIONS = {
   windowSize: 3,
@@ -149,7 +149,7 @@ async function runGrowCut(
     maxBufferSize: WEBGPU_MEMORY_LIMIT,
   };
 
-  const adapter = await navigator.gpu.requestAdapter();
+  const adapter = await navigator.gpu?.requestAdapter();
   const device = await adapter.requestDevice({ requiredLimits });
   const BUFFER_SIZE = volumePixelData.byteLength;
 

diff --git a/utils/ExampleRunner/example-info.json b/utils/ExampleRunner/example-info.json
@@ -428,6 +428,10 @@
       "wholeBodySegment": {
         "name": "Whole Body Segment tool",
         "description": "Demonstrates how to segment the whole body of a region selected by the user that is processed in the gpu"
+      },
+      "SAMClientSide": {
+        "name": "Segmentation AI Assistance",
+        "description": "Demonstrates how to use AI assistance tools for segmentation creation using onnx runtime on the client side"
       }
     },
     "tools-advanced": {