Error on Raspberry PI 4 while opening TensorFlow.
I came by this error after installing TensorFlow in RPI 4
can you guys find a fix?
error on Raspberry PI 4
tensorflow/core/platform/hadoop/hadoop_file_system.cc:132] HadoopFileSystem load error: libhdfs.so: cannot open shared object file: No such file or directory)
Your are using a bleeding edge python software for tensorflow. I believes it is python 3.7 or python 3.8 or something. Try to downgrade your python to 3.6.5 or other compatible version by refereing documentation.
@arunksoman hi, i've run this code using python 3.7 on anaconda and it worked fine.
but as i run this on RPI 4, it showed the Hadoop error. I then updated the libraries and Hadoop error was solved..
now there is a new error
also can you take a look in the 10% memory error?...like what can be possibly done there??
@arunksoman i installed tensorflow from the below given link
and i installed it without entering into virtual environment
but this 10% memory issue is a serious pain
@arunksoman tensorflow 2.0.0 version had been installed
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.
- 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
- 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
It indicates your current swap is only 100mb.
So you just have to increase by commenting down this line and increase to appropriate value something like shown below for 2GB swap:
- Save the file and exit nano editor.
I believes if it did not helped you, you have to think about MOVIDIUS or NVIDIA Jetson nano etc.
@arunksoman i'll try this method, but while executing swap command, will the rasbian os and the files it contains be effected??
@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.
actually at this point of time, I'm not willing to risk RPI4,....i thought of connecting the rpi4 to google cloud (already have an account with $300 credit) and proceeding with the code.
but i do not know if the below process can be executed
- sending image from rpi4 to cloud
- using this cloud for running prediction
- the above two processes should be automated and image should be sent to cloud when pi boots up(VM engine can be activated whenever nessesary)
is this possible?
Python Method vs function
Method is called by its name, but it is associated to an object (dependent).
A method is implicitly passed the object on which it is invoked.
It may or may not return any data.
A method can operate on the data (instance variables) that is contained by the corresponding class
Function is block of code that is also called by its name. (independent)
The function can have different parameters or may not have any at all. If any data (parameters) are passed, they are passed explicitly.
It may or may not return any data.
Function does not deal with Class and its instance concept.
I think not all parameters are the same, all according to their respective functions in use, it's just that certain needs and comfort are needed
I need help in programming for my startup project hardware completion
Recently, I got a chance to work work the SeeedStudio T1000 tracker and I made a tracker and data logger with it. It comes with a LoRa module to transmit the data and has an inbuilt temperature and light sensor. The device is very easy to set up and get-started and I can say the experience of switching from different LoRa network servers is very pleasant and straightforward, same for the integration. I chose Ubidots to visualise the data captured.
I also like the mobile application very much, it’s so easy to pair and change the tracker configuration on the go. I love it.
I will experiment more and share my insights here. let me know if you want to know any specific details about the SenseCAP T1000.
It’s live on Kickstarter and you can pledge for $29 for single T1000 tracker, you will get 1 piece T1000 with 3 months of free trial service on the SenseCAP platform. Take a look : https://www.kickstarter.com/projects/seeed/sensecap-t1000-track-what-you-care-with-no-boundaries
@dipu_varghese Hi, How does it go? Would like to know about the updates or anything I can do to help you.
@zainmuhammed Oh that's cool. Let me also take a look at the stability analysis of a drone and get back to you.