The new Raspberry Pi 4
salmanfaris last edited by salmanfaris
The Raspberry Pi 4 Model B is finally here, a $35 device that packs a lot of useful technology on a single circuit board you can hold in your hand. It might even be your next budget computer, assuming you can stomach some of the trade-offs enthusiasts have identified in their early testing.
This tiny tool that powers plenty of people’s clever hacking projects—including dorm room parties—gets a lot of great upgrades for its fourth-generation release. On paper, the specs are impressive: a 1.5 GHz, quad-core, ARM Cortex-A72 processor; up to 4GB of memory (bumping the price to $55); Gigabit Ethernet; wireless-ac; and the ability to push 60 frames per second to a 4K display (or 30 frames per second to two connected 4K displays).
@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