PYNQ-TinyYoloV3 ON THE PYNQ_pynq yolov3

Today,You can use python to develop FPGA,it is PYNQ.

The brief specification of PYNQ Z2 is as follows, with some parameters I am concerned about bolded:

About  ZYNQ and PYNQ ,you can refer to this"http://www.zynqbook.com/"

Now,i will introduce PYNQ,you can find the official website and documentation of the project can be found at" http://www.pynq.io/".you can use the Jupyter notebooks to develop PYNQ.

• PYNQ provides a Python interface that allows you to control overlays in PL through Python running in PS.
• FPGA design is a professional task that requires hardware engineering knowledge and professional knowledge.
• PYNQ's Overlay layer is created by hardware designers and is included in this PYNQ Python API.
• Software developers can then use Python interfaces to program and control proprietary hardware overlays without having to design their own.

•  This paper briefly introduces the principle of Tiny YOLO target detection algorithm, and finally records the experimental results.

started

• 

 (1)According to the official guide, first set the jump cap on the board, burn and write the TF card image

(2)Power on

(3)Connect PYNQ to the LAN

(4)PYNQ hostname:PYNQ,you can input the http://PYNQ ,you can use Jupyter notebook

(5)you can refer to the docment,https://pynq.readthedocs.io

(6)download QNN-PYNQ :https://github.com/Xilinx/QNN-MO-PYNQ

(7)install QNN;

The first method:sudo pip3 install git+http://github.com/Xilinx/QNN-MO-PYNQ.git 

The Second method:

https://github.com/Xilinx/QNN-MO-PYNQ,Then,Create a Shared folder，Copy the *.zip to the qnn folder.

python setup.py build and python setup.py install.

(8)open tiny-yolo-image-loop.ipynb,you can see the code:

(9)test

the result :

More refer to:

人工智能
BNN：
 
https://github.com/Xilinx/BNN-PYNQ/
 
QNN：
https://github.com/Xilinx/QNN-MO-PYNQ
 
LSTM：
https://github.com/tukl-msd/LSTM-PYNQ
 
CNN：
https://github.com/awai54st/PYNQ-Classification
 
ZIPML：
https://github.com/fpgasystems/ZipML-PYNQ
 
iSmart：
https://github.com/onioncc/iSmartDNN
 
spooNN：
https://github.com/fpgasystems/spooNN
 
accelerator：
https://mp.weixin.qq.com/s/ic2OcbAto_daylAVh7-0HQ
 
物联网
PYNQ-BOT：
https://github.com/Xilinx/PYNQ-BOT
 
SPYN-IIOT：
https://github.com/Xilinx/IIoT-SPYN
 
机器视觉
部分可重配：
https://github.com/AEW2015/PYNQ_PR_Overlay
 
软GPU：
https://github.com/malkadi/FGPU_IPython/
 
Video Processing：
https://github.com/Pieter-Berteloot/PYNQ_Projects
 
板卡移植
参考资料：
 
Zynq-7000移植指南：
https://gist.github.com/PeterOgden/9a5054a06408d2bd711d6de563281930
 
Zedboard移植参考：
https://superuser.blog/pynq-linux-on-zedboard/
 
官方文档：
https://pynq.readthedocs.io/en/latest/pynq_sd_card.html#retargeting-to-a-different-board
 
Minized移植参考：
https://github.com/ticktronaut/PYNQ
 
UltraZed移植参考：
https://github.com/tchoyt/pynq_dev
 
Pynq部分补充教程
HLS filter example：
https://github.com/drichmond/PYNQ-HLS/blob/master/tutorial/notebooks/stream/0-How-To-HLS.ipynb
 
Custom HLS adder IP：
http://www.fpgadeveloper.com/2018/03/create-a-custom-pynq-overlay-for-pynq-z1.html
 
Accelerate FIR software function：
http://www.fpgadeveloper.com/2018/03/how-to-accelerate-a-python-function-with-pynq.html
 
Add existing IP to a PYNQ overlay：
https://www.youtube.com/watch?v=UBsCNPWudww
 
Control custom IP using GPIO：
https://www.youtube.com/watch?v=LomArt-hi4M

the source code:updating.