Comments (9)
You can use Samba file sharing service to copy files.
https://pynq.readthedocs.io/en/latest/getting_started.html#accessing-files-on-the-board
To download Git repos, use pip install. Example below:
Quick Start On the latest PYNQ image, use the following command in a terminal to install PYNQ Deep Learning IP Jupyter notebooks
$ sudo -H pip3.6 install --upgrade git+https://github.com/Xilinx/PYNQ-DL.git
$ sudo reboot now
After the setup, new Jupyter notebooks will be added under the pynqDL folder, ready to try out, no additional steps are needed
Let me know of any issues.
from go-pynq.
Please post this question to the PYNQ support forum
www.pynq.io/support
from go-pynq.
Ok thanks!
But we are facing problems getting PYNQ board connected. Like we are configuring it in Windows , and have changed Ipv4 setting , but still 192.168.2.99:9090 doesn't open the Notebook. It opened once earlier and then never connected.
from go-pynq.
Not sure what is happening. Some pointers:
- https://pynq.readthedocs.io/en/latest/getting_started/pynq_z2_setup.html#getting-started-video
- https://pynq.readthedocs.io/en/latest/appendix.html#assign-your-computer-a-static-ip
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This should help.
Try following this to find the ip address of the pynq board:
https://pynq.readthedocs.io/en/latest/getting_started.html#opening-a-usb-serial-terminal
from go-pynq.
Yes. Thanks @rpokana . This worked .
But i'm unable to access the internet from Serial terminal of board . I have set the network proxy using set http_proxy=172.16.2.30:8080
and others too like https,ftp . Still doesn't work . When i try doing git clone
it hangs and nothing happens.
Can you help with this?
from go-pynq.
First connect the LAN ethernet cable directly to the board to access internet. You can use the same setup if the laptop/PC (with Wifi) is assigned a static ip in the same range as the PYNQ board.
HTH
from go-pynq.
Thanks for helping . I had a basic doubt .
Regarding installation of Tensorflow , Keras and other libraries how and from where am i supposed to install them?Doing normally with pip
doesn't work , because PYNQ has different architecture and what we got on the internet are made for 32/64bit arch .
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Also , i'm unable to find the 4 submodules : board, iop, drivers, and bitstream as written in docs in the GitHub Repo . Due to which i'm also unable to import pynq.drivers
.
Please let me know the solution for this. @rpokana
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