vitis-ai
Here are 13 public repositories matching this topic...
Workflow for Executing CNN Networks on Zynq Ultrascale+ with VITIS AI. Detailed analysis, configuration, and execution of Convolutional Neural Networks on ZCU102 using VITIS AI, evaluating performance on the board compared to Cloud infrastructure. Developed for educational exam purposes.
-
Updated
Apr 8, 2024 - Jupyter Notebook
Custom YoloV4 Darknet/Tensorflow model for license plate detection on the AMD-Xilinx Kria KV260 Vision-AI starter Kit. Utilize transfer learning to create your own custom object detecion model on a custom dataset, quantize and compile in Vitis-AI for easy deployment and evaluation on FPGA.
-
Updated
Sep 1, 2022 - Shell
Hardware Accelerators on FPGA for Computer Vision Applications
-
Updated
Jan 20, 2024 - C++
Quantization of efficientnet model that i pruned 81% using Vitis AI and compiling it for deployment on FPAG
-
Updated
Jan 17, 2024 - Python
The Flow to Deploy your Custom Deep Learning Models on Ultra96V2.
-
Updated
Feb 8, 2022 - Python
Human falls is a major reason for deaths in elderly people. It can be prevented by an automatic fall detection, and alert system. We have created an automatic fall detection algorithm running on the Xilinx ZCU104 FPGA.
-
Updated
Dec 15, 2020 - C++
Compression Supports Spatial Deep Learning
-
Updated
Dec 1, 2022 - Python
A framework to train a ResUNet architecture, quantize, compile and execute it on an FPGA.
-
Updated
Jun 23, 2023 - Jupyter Notebook
Workflow for executing CNN Networks on Zynq Ultrascale+ with Vitis AI toolchain. Detailed analysis, configuration and execution of Convolutional Neural Networks on ZCU102 using Vitis AI, evaluating performance on the board compared to Cloud infrastructure (eg. Kaggle). Developed for educational exam purposes.
-
Updated
Apr 8, 2024 - Jupyter Notebook
"Vitis-AI-YOLOv3-TF2-Quantization-Evaluation" Repo for quantization of YOLOv3 on Vitis-AI using TF2, aimed to deploy model on edge devices with limited resources. Includes training & quantization scripts and evaluation metrics. Experiment with different configurations.
-
Updated
Dec 7, 2023 - Shell
Xilinx DPU(Vitis AI)を用いたエッジAI実現に向けたサンプルプログラム
-
Updated
Aug 15, 2023 - C++
Improve this page
Add a description, image, and links to the vitis-ai topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the vitis-ai topic, visit your repo's landing page and select "manage topics."