Please Read Accelerating Face Detection on GMSL-based Camera with Vitis AI Part 3 DPU Accelerator Creation The Vitis Accelerator build flow that is used in this tutorial takes a base platform and links in various Xilinx Object (.xo) files that make up the FPGA acc...

缘由现场可编程门阵列（FPGA）是一种灵活的硬件结构，从数字信号处理任务到高性能 I/O 再到可靠的安全关键组件，通常是嵌入式系统多个不同方面的必要组成部分。由于 FPGA 拥有强大的并行计算能力，它们也是实现图像处理应用的理想选择。如今，许多图像分析任务，如目标检测或图像分割等，都是通过神经网络方法实现的。这种方法在准确度上往往显著优于我们所熟知的经典图像处理算法。但是缺陷在于，卷积神经网络（CNN）通常对计算能力、算术运算和数据存储有严格的要求。由于 FPGA 上的资源有限，因此在 FPGA 上实现神经网络时，极为需要优化的架构和网络设计。为此，改进一般是通过问题驱动和目标驱动战略来实现的...

Overview What if we could abstract the Alveo card resources? Query available compute resources and launch?  This is what the Xilinx Resource Management (XRM) service allows! It’s a resource manager with a set of APIs built on top of Xilinx runtime. With XRM it’s possible to run mult...

Objectives Medical AI is becoming an essential part of modern healthcare. It increases detection accuracy, lowers cost, achieves earlier disease prediction, and largely uses non-invasive means. In this respect, imaging equipment plays a critical role. With the growing applications i...