cwq159 / PyTorch-Spiking-YOLOv3

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
GNU General Public License v3.0
206 stars 58 forks source link

Have you tried to deploy Spiking-YOLO on FPGA? #14

Open tianyma opened 3 years ago

tianyma commented 3 years ago

Dear author,

Have you tried to deploy Spiking-YOLO on FPGA platforms such as Ultra-96 or other boards like this. If then, how about the accuracy, speed, and energy consumption?

cwq159 commented 3 years ago
font{
    line-height: 1.6;
}
ul,ol{
    padding-left: 20px;
    list-style-position: inside;
}

We’ll try to deploy it on custom neuromophic chip in the future.

                            cwq

                                ***@***.***

    签名由
    网易邮箱大师
    定制

On 03/31/2021 ***@***.***> wrote: 

Dear author, Have you tried to deploy Spiking-YOLO on FPGA platforms such as Ultra-96 or other boards like this. If then, how about the accuracy, speed, and energy consumption?

—You are receiving this because you are subscribed to this thread.Reply to this email directly, view it on GitHub, or unsubscribe.