I want to install TensorFlow framework in robot NAO , if i do :
ssh nao#192.168.1.3
sudo apt-get install python-pip python-dev
he print an error :
-bash: apt-get: command not found
so How can i install tensorflow framework on robot NAO?
Apparently there is no apt-get tool on your NAO, because NAO has different portage method, although its os is Linux. Generally two approaches you can go with:
if you have NAO simulator, first install the Tensorflow on it, and then copy all files to you NAO robot, so you have apt-get tool on your simulator and no mess on robot.
or you can install packages per pip tool, but NAO's os is Gentoo, so it could be a little twisted.
First search pip
emerge -s pip
Find the name of tools you need, such as dev-python/pip and others python packages, to install it superuser is required.
emerge dev-python/pip
Then you can begin other tasks.
I am not familiar with Tensorflow, however if you can not install it, you can built it from source code.
BTY, you might wanna check emerge command.
Related
I installed Tensorflow-macos and try to install opencv-python
but always fail in this message
ERROR: Command errored out with exit status 1: /Users/sean/Documents/sysvenv/tf24v/bin/python3 /Users/sean/Documents/sysvenv/tf24v/lib/python3.8/site-packages/pip install --ignore-installed --no-user --prefix /private/var/folders/gy/jzs3xnwd1z3203d75y_31nxc0000gn/T/pip-build-env-en64krht/overlay --no-warn-script-location -v --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- setuptools wheel scikit-build cmake pip 'numpy==1.13.3; python_version=='"'"'3.6'"'"'' 'numpy==1.14.5; python_version=='"'"'3.7'"'"'' 'numpy==1.17.3; python_version=='"'"'3.8'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"'' Check the logs for full command output.
it lookalike the bumpy version problem.
But In Tensorflow-macos it it 1.8.5 and python is 3.8
Does anynoe have the same problem?
thanks
You might want to look at these suggestions:
opencv issues with M1 MAC - OpenCV imshow doesnot work
conda install opencv
I was successful in installing Python 3.9.1 for Apple Silicon and then running conda install opencv. However, the slow time to compute a few functions for the first time might suggest some components are still being translated via Rosetta. Regardless, while I did not test performance the functions I needed seemed to work.
after searching the web I have successfully installed OpenCV on my Mac M1.
Probably you don't have brew installed, so here's how you should install it:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
brew install wget
brew install miniforge
brew install cmake, you will need cmake for building OpenCV code
Then just follow this blog: https://sayak.dev/install-opencv-m1/#Install-conda
OR, here is the YouTube video which explains the second step: https://youtu.be/x_kAkabk-5o
P.S. If mdfind cv2.cpython returning an empty string then try to delete the build folder and compile opencv again. Otherwise, you have done everything correctly.
When importing _constant_time
I was getting attribution error: _init.cffi_1_0_external_module
I decided to go check in _constant_time.
And what is discover is _constant_time is not a python module but rather a cpp compiled library. (.so) .
So how is python importing from .so file? Or is something missing in cryptographic package?
According to an answer on Russian StackOverflow, you need to install cffi module as well.
sudo easy_install -U cffi
or
sudo pip install -U cffi
And on Windows the syntax is more like:
python -m pip install -U cffi
(according to How to run Pip commands from CMD?)
-m is needed on Windows since Windows doesn't interpret "shebang" (#!) interpreter lines so pip can't be run directly as on Linux/BSD/Unix/whatever, but needs to be run from python. -U tells pip or easy_install to install latest version of cffi available.
English version of linked Russian page
could you please advise me of a solution you may know for downloading PostgreSQL. I am trying to install 9.6.5 version, but also tried the 10.0, same error.
I am using an installation option for Mac operating system OS Sierra from website: https://www.openscg.com/bigsql/postgresql/installers.jsp/
I am getting an error:
Have tried to run the instruction sudo easy_install pip in the command line and it installs the pip file successfully. However I am still unable to install the PostgreSQL.
Please could you advise what the issue may be?
I have also installed Homebrew (it did not help).
I do already have anaconda and Python installed, as well as latest versions of R and RStudio.
I have now found a solution to the above problem (on Mac). Execute the following command in your terminal:
sudo easy_install-2.6 pip
If that does not work execute:
sudo easy_install-2.7 pip
This allows the PostgreSQL to be downloaded correctly.
I followed the instructions suggesting using easy_install-2.7 but still got an error very similar to that from the OP. I had to specifically install pip 9.0.0 with
sudo easy_install-2.7 pip=9.0.0
after which the PostgreSQL install worked.
The default pip is now v10, so it's probably a string compare issue in the installer.
Here is the solution that worked for me on Mac High Sierra 10.13.4:
Clear out the brew cache $ rm -rf ~/Library/Caches/Homebrew
Clear out the site-packages $ sudo rm -rf /usr/local/lib/python2.7/site-packages
Reinstall Python $ brew reinstall python This pulls down python-3.5.6.high_sierra and put it in /usr/local/bin/python3
But which python still shows /usr/bin/python
The solution is to run $ brew install python#2 which pulls down python#2-2.7.14_3.high_sierra
Now which python shows the correct path /usr/local/bin/python which is also where all your pip stuff is installed, so now pip will work.
Ensure the latest version of pip is installed with $ sudo pip install --upgrade pip
For some reason, I want to use some previous version of tensorflow('tensorflow-**-.whl', not source code on github) and where can I download the previous version and how can I know the corresponding cuda version that is compatible.
It works for me, since I have 1.6
pip install tensorflow==1.5
Find available versions (some example results shown):
$ curl -s https://storage.googleapis.com/tensorflow |xmllint --format - |grep whl
<Key>linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl</Key>
You can, of course, filter the results further by piping through additional instances of grep.
Pick the version you want and install for Python with pip...
$ TFVERSION=linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl
$ pip install https://storage.googleapis.com/tensorflow/$(TFVERSION)
Note: cp27 in the list above indicates compatibility with Python version 2.7.
The above answer does not work any more.
You can install like this:
curl -s https://storage.googleapis.com/tensorflow |xmllint --format - |grep whl
<Key>linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl</Key>
Then pick the model you want.
Then you can run this kind of command :
# Mac OS X, CPU only, Python 2.7:
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py2-none-any.whl
Then install Tensorflow:
# Python 2
$ sudo pip install --upgrade $TF_BINARY_URL
# Python 3
$ sudo pip3 install --upgrade $TF_BINARY_URL
Source: https://www.tensorflow.org/versions/r0.11/get_started/os_setup#download-and-setup
You can do as suggested beforehand and search for available version in tesorflow site but you can't access versions older than available there.
So if you want an earlier version:
go to https://github.com/tensorflow/tensorflow
search for the version you want under branches - for instance r0.11
Then go to the download and setup section. Again, for r0.11: https://github.com/tensorflow/tensorflow/blob/r0.11/tensorflow/g3doc/get_started/os_setup.md and install as described there.
To download an older version of TensorFlow make sure you are using an older version of python as well. Otherwise, you will run into an issue like no version satisfying requirement found.
Create a virtual environment for this and install python==3..5
Use pip install tensorflow==1.4 or so.
Goto https://www.tensorflow.org/versions/
Click on the version you want, for example: https://www.tensorflow.org/versions/r1.1/
Click on install, for example: https://www.tensorflow.org/versions/r1.1/install/
Then follow your preferred way to install
in order to find out available previous versions all you need to do is either use :
pip search tensorflow-gpu or pip search tensorflow
conda search tensorflow-gpu or conda search tensorflow
and to install them even:
pip install tensorflow-gpu==1.15.0 or pip install tensorflow==1.15.0
conda install tensorflow-gpu==1.15.0 or conda install tensorflow==1.15.0
my experience conda search is much much cleaner and easier to find packages.
You can always download the previous version of tensorflow version
from here
Here on the top left you can change the version
I am new to Canopy. I have some data mining projects that I would like to do using Python. I was wondering if anyone was able to install Scrapy under Canopy? Is it easy to install packages outside of the main repository?
Short answer is to try pip install scrapy from the command line (use the Canopy Command Prompt (Windows) or Canopy Terminal (OSX/Linux) found in the Tools menu; this ensures Canopy's User Python is on the PATH).
See this article in the Enthought Knowledge Base about installing external packages into Canopy. It provides information on the steps required, including the use of pip, as well as other considerations you will want to be aware of when installing external packages.
1)sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 627220E7
2)echo 'deb http://archive.scrapy.org/ubuntu scrapy main' | sudo tee /etc/apt/sources.list.d/scrapy.list
3)sudo apt-get update && sudo apt-get install scrapy-0.24
these are the above three steps which will install scrappy
even i had the same problem , below link helps you on this
http://doc.scrapy.org/en/latest/topics/ubuntu.html#topics-ubuntu