Ara DNPU Knowledge Base

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Ara DNPU Knowledge Base

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This document provides an end-to-end example for setting up the Ara2 compilation environment, compiling the YOLOv8L ONNX model with the Model Zoo, deploying the compiled model to an i.MX95 target, running inference and performance tests, and reviewing the key YAML fields that must be updated when adapting the flow to another model of the same type.
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  Compile & Deployment DeepLabV3 with Ara Model Zoo v1.0.0
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This slides firstly introduce the YOLO26 model, and NXP Ara2 Model Zoo, Ara2 SDK/Runtime. Then it explains the CNN model compilation flow with Ara2 toolchain in SDK package, how to compile the newly added model - Yolo26n, how to setup the inference environment in i.MX95FRDM+Ara2-240 board. Finally present the inference result. Patches and user guide are provided in attachment as well.
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Analysis of the DNPU model compilation flow as below: (Based on Model Zoo Ara2 and SDK 2.0) Compile Flow:model_compile.sh Compile Flow:run.yaml Compile Flow:Dvconvert Compile Flow:Dvrun Compile Flow:Quantizer Compile Flow:Scheduler / Estimator Compile Flow:VPU Codegen Compile Flow:Generator / Emitter Compile Flow:Simulation Compile Flow:Accuracy Check Compile Flow:Outputs
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Attached are the instructions for using ARA2 on the Windows platform, along with the following two project packages: factory-test-package-windows.zip qwen2.5_vl_3b_opt_ara_python_win_demo_r2.1.zip If you need any additional information or support, please feel free to contact me by email at [email protected].
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