How can I reduce compilation time for a Simulink model that uses the Computer Vision Toolbox “Deep Learning Object Detector” block with GPU acceleration enabled in MATLAB R2025b?
I am using MATLAB R2025b with Simulink and Computer Vision Toolbox. My model includes a “Deep Learning Object Detector” block with GPU acceleration enabled.
The model takes several minutes to compile, especially during propagating data types and while compiling “MATLAB Function” block code. This can happen even when there are no structural changes to the model, or when I modify blocks that do not directly interact with the object detection block.
Is there a way to reduce the compilation time?I am using MATLAB R2025b with Simulink and Computer Vision Toolbox. My model includes a “Deep Learning Object Detector” block with GPU acceleration enabled.
The model takes several minutes to compile, especially during propagating data types and while compiling “MATLAB Function” block code. This can happen even when there are no structural changes to the model, or when I modify blocks that do not directly interact with the object detection block.
Is there a way to reduce the compilation time? I am using MATLAB R2025b with Simulink and Computer Vision Toolbox. My model includes a “Deep Learning Object Detector” block with GPU acceleration enabled.
The model takes several minutes to compile, especially during propagating data types and while compiling “MATLAB Function” block code. This can happen even when there are no structural changes to the model, or when I modify blocks that do not directly interact with the object detection block.
Is there a way to reduce the compilation time? detectobjectblock, matlabfunctionblock, gpuacceleration, deeplearning, inherited, slowcompilation, propagatingdatatypes MATLAB Answers — New Questions









