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这是一个存放使用过的 Python 库的简单示例仓库,欢迎交流 ~.
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QUESTION
So, I am converting my project from qmake to cmake, and I'm just about done! However, I'm getting more than double the runtime speed on my qmake build, at least in debug mode. I'd like to have the same compile flags set in both build configurations so that I'm comparing apples to apples.
Unfortunately, I haven't had much luck figuring out what the heck is accounting for the performance difference! My qmake flags resolve out to this:
...ANSWER
Answered 2020-Dec-28 at 05:30I figured it out!! cmake was building my application as a console app, instead of a Windows app. Replacing add_executable(${TARGET_NAME} ${MY_SOURCES})
with add_executable(${TARGET_NAME} WIN32 ${MY_SOURCES})
in my cmake build makes the performance match. I learned something new today, thanks all.
QUESTION
I'll start by saying that I'm a total noob to cmake, but it's what most people use and I need to finally make the switch from qmake. I'm trying to convert the following project file:
...ANSWER
Answered 2020-Nov-30 at 23:19how do I set Debug vs Release, and similar configuration options?
There are two common options. A plain if
:
QUESTION
I can not use the conda utility anymore. I use it regularly since years but lately, since I installed the python module scp
(with the command conda install scp
, I don’t know if it matters) without anything visibly unusual, I get the error below whatever the command as soon as I use conda (conda install …, conda update …, conda uninstall …, … , the message is always the same):
ANSWER
Answered 2018-Jul-10 at 17:08Downgrading to conda 4.5.5 fixed this for me.
And with a ranting hat on: This is the third time in the space of about 18 months that a conda update has resulted in an error that causes builds to fail, and there's been plenty of other issues too. I presume it will be fixed by the core conda people at some point, and maybe it is caused by a particular combination of third party dependencies, but one way or another conda always seems extremely buggy. There was once an update that caused conda install conda to delete itself!
QUESTION
I'm writing a library in C++ that is to be published soon. In addition to the library, I've added an interface to Python 3.7.4 that is automatically generated using SWIG 4.0.0. In Ubuntu 18.04, the interface works perfectly: it can be imported into Python3 without any problem. In Windows 10, however this is not the case. After generating the wrapper in C++, compiling it, and linking it against the compiled C++ library (as a shared object), into a *.so file, importing it from python does not work. The error message after doing import is similar to the following
...ANSWER
Answered 2019-Sep-16 at 17:38Thank you @flexo for pointing out the problem. On Windows, we have to make a .pyd, not a .so.
Besides the changes pointed out by @Flexo, there are other things that have to be changed too. The minimal example's Makefile
correct version is:
QUESTION
This is not the first time I compiled caffe, but I still have problems that I can't solve. The caffe version I used is https://github.com/chuanqi305/ssd, the compiled version is GPU, I successfully compiled and run on my computer ( Ubuntu 16.04 GTX1080TI*1 cuda9.0) , but in the school server (Ubuntu 14.04 Tesla k80*2+Tesla k40*2 cuda8.0), the same code, the same configuration, but the compilation failed。The error occurred in the code compilation phase rather than the link phase, but the code itself is definitely no problem, because it has been compiled successfully on another computer, I don't know if it is because of my gcc/g++ version.
I tried to compile the parallel.cpp file myself using the g++ command. When I don't specify the header file path, the same error will occur, but in the Makefile, the location of the header file has been added.
The error message is below:
...ANSWER
Answered 2019-Jul-29 at 03:13When you change the environment,have you edit the path in Makefile.config?
Please make the python path correct and make sure cudnn is installed,if you want to compile with cuDNN.
Not very clear with your issue, try comment USE_CUDNN := 1
QUESTION
I'm using High Sierra and am unable to install graph-tool via brew install. Given below is the output after brew installing.
...ANSWER
Answered 2019-Jun-21 at 18:00Graph-tool 2.28 requires macOS Mojave. It’s been updated in Homebrew on June, 9. You can try installing the previous version by using a direct URL to the formula at the commit just before the bump:
QUESTION
I am on MacOS 10.13.3 (17D47) with Python 2.7.14. I am in the process of building caffe w/ python. The project is CPU only. I am able to build caffe through make run test
however, after attempting make pycaffe
I get an error. This is the result:
ANSWER
Answered 2018-May-18 at 14:31Goto Makefile (and not the .config file) and change the name of the ld library to python27.
QUESTION
I built Caffe
and Pycaffe
successfully, however, there is something wrong which I could not figure it out myself.
Upon importing caffe in python I'm getting this error :
ANSWER
Answered 2018-Apr-19 at 06:35File "/home/breeze/anaconda3/lib/python3.6/site-packages/dateutil/rrule.py", line 55 raise ValueError, "Can't create weekday with n == 0" ^ SyntaxError: invalid syntax
From the error, you understand that you need to update dateutil
lib.
QUESTION
I am trying to install caffe with cpu support and matcaffe wrapper. My system config: Ubuntu -16.04, opencv 2.4.9, gcc-4.9, g++-4.9, Matlab2017b I am unable to figure out the error I have seen many possible options available and patched the solution. I have included my Makefile.config as Makefile with the error:
...ANSWER
Answered 2018-Mar-02 at 18:40I don't have a specific solution. However, when I tripped over these problems, the errors were due to lack of the proper library to link. This came from two causes: (1) library not installed; (2) wrong library version earlier in the LD_LIBRARY_PATH. Unfortunately, I don't recall how my IT support traced and fixed the problem for me -- it took someone who knew the OS library installation much better than my "sudo yum install" level of expertise. :-)
You also commented that changing the compiler worked: another possibility, as a new compiler has a new load path. Good work!
QUESTION
I'm installing caffe on an Ubuntu 17.04 system using boost 1.66. I am able to execute make all
and make test
without problems:
ANSWER
Answered 2018-Feb-12 at 10:55Your /usr/local/lib/libboost_system.so.1.66.0
is evidently one you built
yourself and want the loader to find at runtime without special measures.
But having built it, you didn't update the ldconfig cache (because you didn't know you had to); so the runtime loader is not yet aware that this library exists and can't find it.
When the loader is looking for the shared libraries needed to assemble a new process,
it does not search all of the linker's default search directories. That would be slow.
By default it searches a cached database /etc/ld.so.cache
, of libraries that were
found by ldconfig
, last time it was run.
By default, ldconfig
caches libraries that it finds in /lib
, /usr/lib
and in the directrories
listed in the file /etc/ld.so.conf
, and/or any similar *.conf
files that are recursively include
-ed in /etc/ld.so.conf
.
For example:
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You can use Python_Lib like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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