Getting Started with Azure Sphere MT620
salmanfaris last edited by salmanfaris
Here is the Getting Started with Azure Sphere MT620, please share your suggestion and opinions
This blog post will explain how to set up and run a Hello-World program in Microsoft Azure Sphere MT620 for the first time. If you already did the setup then skip the whole post.
An Azure Sphere Development Kit
A PC running Windows 10 Anniversary Update or later
Visual Studio 2019 Enterprise, Professional, or Community version 16.04 or later; or Visual Studio 2017 version 15.9 or later.
@sreu13 I edited comment please read that again. Most probably it will not effect your file system. In some scenarios it can create worse effect.
@arunksoman i'll try this method, but while executing swap command, will the rasbian os and the files it contains be effected??
Ensure that you are installed tensorflow 1.x since screenshot of your code shows something like
from keras.layers.convolution import covolution2D
It is not correct in case for tensorflow 2.0 since keras api is part of tensorflow itself.
Another thing is try to expand your file system. It should be do with your own risk.sudo raspi-config Navigate to Advanced options Select advanced options and hit enter(I believes tab key is useful here) Choose Expand File System and hit enter finish. Then your pi may prompt to reboot. If it didn't run. Execute
sudo reboot Then execute following commands one by one: $ sudo apt-get purge wolfram-engine $ sudo apt-get purge libreoffice* $ sudo apt-get clean $ sudo apt-get autoremove Then increase swap memory by editing following file swapfile:
$ sudo nano /etc/dphys-swapfile It will open nano editor. Navigate to variable CONF_SWAPSIZE=100
It indicates your current swap is only 100mb.#CONF_SWAPSIZE=100 CONF_SWAPSIZE=2048 Save the file and exit nano editor. sudo reboot
So you just have to increase by commenting down this line and increase to appropriate value something like shown below for 2GB swap:
I believes if it did not helped you, you have to think about MOVIDIUS or NVIDIA Jetson nano etc.
@arunksoman tensorflow 2.0.0 version had been installed
I will look more into it. Thanks again