The vai_benchmark is a utility tool provided by Vitis AI. It allows users to perform comprehensive performance testing, both end-to-end and DPU-only, by utilizing supported sample programs …

Jan 20, 2021 · Why are the four DPU models testing FPS on video on vitis-ai only 17? What's the problem?

Aug 16, 2022 · Hi, I want to use KV260 for some custom applications, and I find various DPU types in KV260 such like 1024, 3136, 4096 and so on. The models from Vitis AI github are …

Accuracy: 0.973339 Sensitivity/Recall: 0.163494 Specificity: 0.989558 FAR/FPR: 0.0104421 MDR/FNR: 0.836506 Total frames inferred: 11140 Total timetaken: 63.566 seconds.. …

<< endl; return; } float mean [3] = {104, 107, 123}; auto input_tensor_buffers = runner->get_inputs (); auto output_tensor_buffers = runner->get_outputs (); CHECK_EQ …

Hi everyone, I am following the official Vitis-AI/src/Vitis-AI-Quantizer/vai_q_pytorch/example/resnet18_qat.py (2.5) example and modify it to train with …

"""Benchmark DPU FPS performance over Vitis AI APIs execute_async() and wait() """ """Uncomment the following code snippet to include softmax calculation for models end-to-end …

echo -e " [ERROR] Check Usage with: ./app_test.sh -h " echo -e "" exit 1 fi CPP_EXE="./app.exe" if [ "$performance_diff" -eq 0 ]; then exec_args="$config_file $xmodel_file $img_dir …

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards. - Xilinx/Vitis-AI

external_yolov3_tutorial.ipynb run_external_yolov3.py run_mxnet_resnet_18.py run_mxnet_resnet_18_zynq_fps.py setup_custom_yolov3.sh setup_custom_yolov3_zynq.sh …