I am trying to install labelImg using setup.py. I run the command:
sudo python3 setup.py install
to install it and everything seemed to be fine. Unfortunately when I tried to execute the program (just tried labelImg &) got an import error:
ImportError: No module named 'resources'
So, I was wondering if I did something wrong or if there something I could do to fix it. My first thought is to provide an absolute import path to resources (and to the following libs imports) but that does not seem the right thing to do. Also it might work for a small project but it's obvious out of reach for a big one.
The git repo seem to imply that I should run it via python, but why then a setup.py exists?
I know I can use the program via python or even install it via PyPI but I am not interested in that.
The labelImg project depends on other libraries to work such as pyqt5-dev-tools and lxml.
If you check their documentation, first you have to install pyqt5-dev-tools:
sudo apt-get install pyqt5-dev-tools
Then install lxml:
sudo pip3 install lxml
After that you have to run the make command in order to build the pyqt5-dev-tools library so that the python code can use it properly (make is used to build executable libraries and programs from source code):
make qt5py3
And finally you can run python3 labelImg.py and use labelImg.
Related
I'm new to Python. I'm familiar with pip... but how do I install something that pip doesn't know about?
Specifically, this is a Jupyter SQL Magics extension (GitHub link)
How do I install an extension "from scratch"?
Not everything is uploaded to pip and can be installed by it.
This seems to be a python script not extension.
Just download the code and use it as import to your script.
Here is how imports work
Python extensions, modules, library or programs (call them how you like) have setup.py script that makes them install-able. Or if its a program that requires library in order to use it it might have requirements.txt file.
This file is used by pip to install every dependency like so:
pip install -r requirements.txt
you can read more about setup.py here
Can you give more details what are you trying to accomplish?
I'm working on a project and need a little different functionality from the package sklearn. I've forked the repo and pushed my changes. I know that I can install from github via pip:
pip install git+git://github.com/wdonahoe/scikit-learn-fork.git#master
and then I can install the package with setup.py:
python setup.py install
However, I am confused about what to do after this step. Running setup.py creates some .egg-info folders and .egg-links files in .../dist-packages/, but I am unsure what to do with them. Ideally, I'd like to go into my project in .../projects/my_project and say something like
from sklearn-my-version import <stuff>
or switch it out with just
from sklearn import <stuff>
I am also a little confused because a lot of resources on this issue mention using easy_install, which I thought pip replaced.
try again using just (-e flag lets you git pull updates by installing it as a git repo)
pip install -e git+git://github.com/wdonahoe/scikit-learn-fork.git#master#egg=scikit-learn
more on eggs:
http://mrtopf.de/blog/en/a-small-introduction-to-python-eggs/
and thanks to anyone who gives some of their time to consider my problem.
What I need help on is for someone to give me a simple and accessible explanation on how to install that module. I have never, ever used anything from PyPi before, I have only heard of pip after looking up PyCallGraph.
I'm not a programmer first, I'm doing an accounting internship and am using python to write scripts to help me speed up some processes, at the urging of a colleague who himself uses python. I write scripts using Notepad++ and execute them through IDLE.
I'm currently working on optimizing a script I wrote and came upon PyCallGraph while checking this very site on tips on how to do so.
I tried the very minimalistic instruction of just doing "pip install pycallgraph" just about anywhere I could think of, including cmd.exe, to no avail. Runing get-pip.py directly seems to have worked for installing pip, though.
Otherwise I can always just stick with the cProfile printout and write-off using modules needing such an install, although that saddly seems to be quite a few...
Step 1: Install PIP
Open terminal (cmd.exe, PowerShell, whatever)
Download get-pip.py and place it in the working directory of your terminal
Install PIP by invoking python get-pip.py
Confirm that PIP was installed correctly by invoking command pip (should display help if success)
If pip didn't work, make sure your PATH environment variable has been set up correctly. In typical Windows installations pip is installed under c:\Python27\Scripts. Make sure this folder is included in PATH.
Step 2: Install your library with PIP
Invoke pip install pycallgraph
PIP installs the library and it can be now used from Python
Two options in setup.py develop and install are confusing me. According to this site, using develop creates a special link to site-packages directory.
People have suggested that I use python setup.py install for a fresh installation and python setup.py develop after any changes have been made to the setup file.
Can anyone shed some light on the usage of these commands?
python setup.py install is used to install (typically third party) packages that you're not going to develop/modify/debug yourself.
For your own stuff, you want to first install your package and then be able to frequently edit the code without having to re-install the package every time — and that is exactly what python setup.py develop does: it installs the package (typically just a source folder) in a way that allows you to conveniently edit your code after it’s installed to the (virtual) environment, and have the changes take effect immediately.
Note: It is highly recommended to use pip install . (regular install) and pip install -e . (developer install) to install packages, as invoking setup.py directly will do the wrong things for many dependencies, such as pull prereleases and incompatible package versions, or make the package hard to uninstall with pip.
Update:
The develop counterpart for the latest python -m build approach is as follows (as per):
From the documentation. The develop will not install the package but it will create a .egg-link in the deployment directory back to the project source code directory.
So it's like installing but instead of copying to the site-packages it adds a symbolic link (the .egg-link acts as a multiplatform symbolic link).
That way you can edit the source code and see the changes directly without having to reinstall every time that you make a little change. This is useful when you are the developer of that project hence the name develop. If you are just installing someone else's package you should use install
Another thing that people may find useful when using the develop method is the --user option to install without sudo. Ex:
python setup.py develop --user
instead of
sudo python setup.py develop
I'm wondering if there's a way to "install" single-file python modules using pip (i.e. just have pip download the specified version of the file and copy it to site-packages).
I have a Django project that uses several 3rd-party modules which aren't proper distributions (django-thumbs and a couple others) and I want to pip freeze everything so the project can be easily installed elsewhere. I've tried just doing
pip install git+https://github.com/path/to/file.git
(and tried with the -e tag too) but pip complains that there's no setup.py file.
Edit: I should have mentioned - the reason I want to do this is so I can include the required module in a requirements.txt file, to make setting up the project on a new machine or new virtualenv easier.
pip requires a valid setup.py to install a python package. By definition every python package has a setup.py... What you are trying to install isn't a package but rather a single file module... what's wrong with doing something like:
git clone git+https://github.com/path/to/file.git /path/to/python/install/lib
I don't quite understand the logic behind wanting to install something that isn't a package with a package manager...