Following several instructions on the web, I could install Opencv3.0 and tensorflow on my Ubuntu 16.04. Each tutorial recommends using virtual environment. Although I agree that, problem is that I just followed the tutorials and created separate environments.
** For minor information, Tensorflow installation was easy, but Opencv3.0 was hard.
I used virtualenv for Tensorflow with the name tf, and virtualenvwrapper for Opencv with the name cv, i.e., I activate tf by $ source ~/project/tf/bin/activate, and cv by $ workon cv.
In this case, what is the best way of using both?
Should I activate both always?
Should I enter one environment and install the other again?
Should I symlink site-package/cv.so to tf environment?
I think cv is now in the python site-package folder. I create tf with --site-package option, but it was before installing cv. I am so confusing. Please help.
Yes, I had the same issue and the sym-link between tensorflow and openCV will not work after making the cv.so inside the tf virtualenv after some struggle I got them both to work in the same environment but I suggest uninstalling openCV and then install it back without using a virtual environment for better results.
Cheers.
Related
I have been using a google colab template for iterative LQR that uses the Pydrake, however, it seems like the code repository is removed and I can't reinstall it on google Colab:
try:
import pydrake
import underactuated
except ImportError:
!curl -s https://raw.githubusercontent.com/RussTedrake/underactuated/master/scripts/setup/jupyter_setup.py > jupyter_setup.py
from jupyter_setup import setup_underactuated
setup_underactuated()
# Setup matplotlib backend (to notebook, if possible, or inline).
from underactuated.jupyter import setup_matplotlib_backend
plt_is_interactive = setup_matplotlib_backend()
File "/content/jupyter_setup.py", line 1
404: Not Found
^
SyntaxError: invalid syntax
I tried clicking this link https://raw.githubusercontent.com/RussTedrake/underactuated/master/scripts/setup/jupyter_setup.py, and the page is not found... everything was working fine yesterday
Sorry. You're correct... I updated it this morning, and don't have a good deprecation policy in place on that repo, and this setup script is two versions ago. The path you want is https://raw.githubusercontent.com/RussTedrake/underactuated/master/setup/jupyter_setup.py
(remove the script from the directory). But if you look at that file, you'll see that even that is pointing to an updated setup script which you might want to point to.
This is actually all good news... we are on the path to a much better solution. You can now just pip install drake on colab (see the drake installation guide). Once I land the pip install underactuated (probably in time for my Spring offering of the class), then all of that nasty setup will be gone.
Could you please point me to the documentation sample showcasing how to put together pytorch dependencies for training on AzureML?
Few related questions to the scenario of running pytorch training workloads on AzureML:
How can I set cuda version to 10.1?
Could you please point to sample demonstrating how to use “official” pytorch docker https://hub.docker.com/r/pytorch/pytorch (which should have all cuda stuff https://github.com/pytorch/pytorch/blob/master/docker/pytorch/Dockerfile)?.
I’ve found distributed-pytorch-with-horovod.yml in the docs but it does not mention any pytorch dependencies -- am I looking in the right place?
Install Pytorch with CUDA Version 10.1 with the following command on windows
pip3 install torch===1.3.1 torchvision===0.4.2 -f https://download.pytorch.org/whl/torch_stable.htm.
From .yml file:
https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/ml-frameworks/pytorch/deployment/train-hyperparameter-tune-deploy-with-pytorch/train-hyperparameter-tune-deploy-with-pytorch.yml
Please follow the below documents for pytorch on Azure.
https://notebooks.azure.com/pytorch
https://azure.microsoft.com/en-us/blog/pytorch-on-azure-full-support-for-pytorch-1-2/
I am trying to use some libraries I downloaded, but whenever I check for them in IDLE I don't see them.
The same thing happens when I type from sklearn import datasets
But when I try to pip install I see this:
Does this mean I am limited to only the Spyder IDE?
There are somehow distinct distributions of Python that you seem to be running. I would suggest using virtualenv and running your IDE (idle/others) via that. Here's a tutorial video for it. [1]
[1] https://teamtreehouse.com/library/idle-in-a-virtual-environment-2
I have a Rails project that is going to be using OpenCV, and it depends on a certain version of it (2.4.6.1).
I'm looking for deployment advice. The Ubuntu opencv package is an earlier version and therefore not suitable.
I can see a number of possibilities, but I'm trying to think of what will work best.
Just write it up in a README and expect people to follow it: download this, apt-get that, etc...
Add opencv, tagged at the version we need, as a git subtree, and include a Rake task to build it.
Write a script to download and compile the needed code.
Something else ?
None of them seem all that great, to tell the truth.
Can your application be made to work with OpenCV 2.4.2? That is available in Ubuntu 13.04, and you could request it be backported to 12.04. If not, you could update the source package to 2.4.6.1 (which would require learning about debian packaging but might not be too difficult since you would be modifying an existing package instead of starting from scratch), upload it to a PPA, and instruct your users on Ubuntu to install OpenCV from there. You could also package your rails application and put it in the PPA, which would make overall installation even easier.
I am new to Digital Image Processing and want to do it using OpenCV on Eclipse. I just want to know how can i start doing it and how i can configure opencv and eclipse using CMAKE . Please suggest me some good tutorial.Also please help me with adding opencv include files and library in Eclipse.
I am using Eclipse Juno.
on Windows 7.
Thanks.
Your best bet is to begin with the OpenCV documentation. Their Getting Started tutorial should be your first stop. They have another strategy with a custom FindOpenCV.cmake file as documented here but I would suggest sticking with the strategy outlined in Getting Started.
In terms of eclipse, cmake generates IDE related metadata for you and Kitware does provide an eclipse CDT generator, documented here. Two important things to keep in mind. First cmake actually generates the eclipse metadata which you then import as an existing project. Second, the example they give is intended to work with Unix makefiles:
cmake -G"Eclipse CDT4 - Unix Makefiles" -D CMAKE_BUILD_TYPE=Debug ../certi_src
If you are using windows you'll want to choose an appropriate generator instead of "Unix Makefiles"