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Feb 23, 2022 · In this paper, the FPGA accelerator is designed by a concise computation framework. This development method shortens the development time.
To implement the accelerator, we present a custom computing engine architecture to handle the dataflow between adjacent layers by using double-buffering-based ...
Jul 10, 2020 · The output of the face detection algorithm is passed to process_result() function which draws bounding boxes using OpenCV rect() function ...
Jul 9, 2020 · The flow demonstrated in this paper is complex and involves a number of tools, libraries, drivers, and design files to be installed and ...
Mar 25, 2024 · I'm studying vitis to apply face/eye detection to fpga. I coded simple face/eye detection using python and opencv(haar cascade method), so now I want to apply ...
First, a full end-to-end video pipeline face mask wearing detection architecture is developed. Then, the thirteen DL models were optimized, evaluated and ...
Design of Face Detection Algorithm Accelerator Based on Vitis. Chapter © 2022. Development of a High-Speed and Accurate Face Recognition System Based on FPGAs.
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A reconfigurable YOLOv3 FPGA hardware accelerator based on the AXI bus ARM+FPGA architecture that quantifies through Vitis AI.
Feb 17, 2021 · 3.1 Face Detect code. ... I tried to run on ZCU102 but I got "WARNING: erroneous pipeline: could not link xlnxvideoscale0 to sdxfacedetect0, ...
Nov 17, 2023 · This tutorial will walk you through the steps required to integrate Xilinx's DPU-TRD Acceleration PL Kernel to your Acceleration Ready Vitis Platform.