caffe with nano?

I followed these instructions on the jetson nano,

https://devtalk.nvidia.com/default/topic/1050177/jetson-tx2/caffe-for-jetson-tx2-with-jetpack-4-2/post/5336665/#5336665

They were recently posted for the Xavier platform. The build process would fail at the very last line with error 1. It did not mention any package or missing dependencies. It just failed.

So I went to another pc and ssh’ed into the nano.
I turned off X with sudo systemctl isolate multi-user.target.
The build went flawless after that.

It seems the gui just stresses out the nano too much even though I was running at max power with

$sudo nvpmodel -m0
$jetson_clocks

I guess it’s a ram issue.

but I am having this problem

sudo apt-get install python-skimage
Reading package lists... Done
Building dependency tree       
Reading state information... Done
python-skimage is already the newest version (0.13.1-2).
0 upgraded, 0 newly installed, 0 to remove and 5 not upgraded.
(dl) stefan@jetson:~$ python3
Python 3.6.7 (default, Oct 22 2018, 11:32:17) 
[GCC 8.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import caffe
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/stefan/caffe/python/caffe/__init__.py", line 1, in <module>
    from .pycaffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, RMSPropSolver, \
  File "/home/stefan/caffe/python/caffe/pycaffe.py", line 15, in <module>
    import caffe.io
  File "/home/stefan/caffe/python/caffe/io.py", line 2, in <module>
    import skimage.io
ModuleNotFoundError: No module named 'skimage'
>>>

skimage is not found though I clearly just installed it.

Hi,

Have you installed it? Like:

sudo apt-get install python-skimage

Thanks.

I had to do this

pip install scikit-image

you need to install it under python3, so use pip3