I have some trouble for installing USD library on Ubuntu. Here is the tuto I want to follow.
On github, I cloned the git, run the script build_usd.py and change the env var. But when I want to run this simple code
from pxr import Usd, UsdGeom
stage = Usd.Stage.CreateNew('HelloWorld.usda')
xformPrim = UsdGeom.Xform.Define(stage, '/hello')
spherePrim = UsdGeom.Sphere.Define(stage, '/hello/world')
stage.GetRootLayer().Save()
By changing the env var, eitheir the command "python " can't be found or the "module pxr" can't be found.
I tried to move the lib and include in my directory in usr/lib, ur/local/lib, usr/local/include but still pxr seems not to be found.
I am really confused about how to install and use library in general for python to found on ubuntu.
Related
I am using kivy to create an android app. I need to install the deepspeech framework, however, in order for deepspeech to be installed it is necessary to create a recipe.
I created a recipe and built the apk, there were no errors in the build, it created the apk and also, as far as I could see in the folders, the deepspeech was built. However after I install the app in the phone and try to run the app, it crashes and says there is no module named deepspeech.
Does anyone know what i am doing wrong? I've been stuck on this for a while now, and can't seem to find the end of this :/.
from pythonforandroid.recipe import PythonRecipe
from pythonforandroid.toolchain import current_directory, shprint
import sh
class deepspeechRecipe(PythonRecipe):
version = 'v0.9.2'
url = 'https://github.com/mozilla/DeepSpeech/archive/{version}.tar.gz'
depends = ['numpy', 'setuptools']
call_hostpython_via_targetpython = False
site_packages_name = 'deepspeech'
def build_arch(self, arch):
env = self.get_recipe_env(arch)
with current_directory(self.get_build_dir(arch.arch)):
# Build python bindings
hostpython = sh.Command(self.hostpython_location)
shprint(hostpython,
'setup.py',
'build_ext', _env=env)
# Install python bindings
super().build_arch(arch)
def get_recipe_env(self, arch):
env = super().get_recipe_env(arch)
numpy_recipe = self.get_recipe('numpy', self.ctx)
env['CFLAGS'] += ' -I' + numpy_recipe.get_build_dir(arch.arch)
#env['LDFLAGS'] += ' -L' + sqlite_recipe.get_lib_dir(arch)
env['LIBS'] = env.get('LIBS', '') + ' -lnumpy'
return env
recipe = deepspeechRecipe()
Buildozer:1.4.0
requirements = python3==3.7.14, hostpython3==3.7.14, kivy, kivymd, sqlite3, numpy==1.14.5, deepspeech, apsw
If you need any extra information I can add.
I have already tried using tensorflow to run the model, however, the model gives an array as the output and I don't know the right procedures to transform that into a text form.
I have already tried other recipes (like opencv) and all work fine.
Edit:
I found out that when i use the recipe it does run, and it does build properly, but only the deepspeech_training part because the setup.py only installs that. To install other parts like the model class it is necessary to use another setup.py located in "native_client/python", but that requires the rest of the folders, so I still need to figure that out.
Edit2:I was able to build the packages that i wanted (the inference of deepspeech) however when i run it gives the following error.
python : ImportError: dlopen failed: library "libc++_shared.so" not found: needed by /data/user/0/org.test.myapp/files/app/_python_bundle/site-packages/deepspeech/_impl.so in namespace classloader-namespace
python : Python for android ended.
Add pillow in your requirements and check if it works!
requirements = python3==3.7.14, hostpython3==3.7.14, kivy, kivymd, sqlite3, numpy==1.14.5, deepspeech, apsw, pillow
I downloaded this library on github and am trying to install with Python using pip install . but the following error message appears:
metaphone_ptbrpy.c (32): fatal error C1083
Cannot open include file: '../source/metaphone_ptbr.h'
No such file or directory
error: command 'C:\\Program Files(x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\ x86_amd64\\
cl.exe' failed with exit status 2
and the file that the error message says does not exist, in fact it does (follow print):
What do I do?
#Edit 1
Print of source folder bellow:
Not sure though Try it with the -e argument. pip install -e youpackage
I got in touch with the library developer, he helped me a lot. I also applied the suggestions that #phd talked about in the question comments. The complete solution:
copy /source folder into the /python folder
edit /python/setup.py
change this:
c_ext = Extension("metaphoneptbr", ["metaphone_ptbrpy.c", join("..", "source", "metaphone_ptbr.c")])
setup(
name='Metaphone-ptbr',
version='1.17',
ext_modules=[c_ext],
include_dirs=[".", join("..", "source")]
)
for this:
c_ext = Extension("metaphoneptbr", ["metaphone_ptbrpy.c", join("source", "metaphone_ptbr.c")])
setup(
name='Metaphone-ptbr',
version='1.17',
ext_modules=[c_ext],
include_dirs=[".", join("source")]
)
edit /python/metaphone_ptbrpy.c:
change this:
#include "../source/metaphone_ptbr.h"
for this:
#include "source/metaphone_ptbr.h"
replace the files /source/metaphone_ptbr.c and /source/metaphone_ptbr.h for this and this
run python setup.py build command in /python folder to build the project and then run pip install . to complete the installation.
to test if everything is okay, just run the command:
from metaphoneptbr import phonetic
print(phonetic('hello'))
PS: if when executing the command above a warning appears, just change the file /python/metaphone_ptbrpy.c for that version
The author said that all these modifications that were necessary to run the Metaphone-ptbr library for Windows 10 will be added to the repository itself, but anyway, I am sharing with you how the solution went step by step.
I'm using buildozer to convert a python program to a phone app on Mac connected to an Android phone with the command line:
buildozer android debug deploy run
The previous command line runs the converted app on the connected phone.But the app crashes as soon as playsound is used. As for the methods before playsound work just fine.
When I run:
adb logcat | grep python
I get the error:
ImportError: dlopen failed: "/data/data/org.test.myapp/files/app/_python_bundle/site-packages/gi/_gi.so" has bad ELF magic
When I looked it up I found that Mac cannot use .so files.
Does anybody know how I can solve this?
Okay, so I ended up fixing this when I got a similar error. (dawg.so has bad ELF magic)
Basically, the reason I got this error was because the library ("gi" in your case) was not been read properly by the android phone when deployed and hence, was "corrupted".
The bottomline reason (for me) was that it was a C/C++ library under the hood and used Cython to be converted to a Python library. Hence, this error usually means that your library needs a custom recipe.
Steps to solve it:
In the root directory (where .buildozer folder is found), I added a folder named dawg (the library name), and then, inside dawg, I git cloned the source files of dawg. To get the source files, you can just go to the PyPi page for that library and go to the Project links -> Homepage of their GitHub site. Once cloned, you can also remove .git, .gitignore, from the source files.
Once that's done, run python3 setup.py install in the dawg directory to install and hence, "cythonize" the source files
In .buildozer/android/platform/python-for android/pythonforandroid/recipes, add a new folder named "dawg" (your library name) and then, inside /dawg, make _init_.py where you will add your custom recipe.
In _init_.py, you can add your recipe and the path to the source files. Here is a template that worked for me, but you can customize it for you as per your requirements.
from pythonforandroid.recipe import IncludedFilesBehaviour, CppCompiledComponentsPythonRecipe
import os
import sys
class DAWGRecipe(IncludedFilesBehaviour, CppCompiledComponentsPythonRecipe):
version = '0.8.0'
src_filename = "../../../../../../../dawg"
name = 'dawg'
# Libraries it depends on
depends = ['setuptools']
call_hostpython_via_targetpython = False
install_in_hostpython = True
def get_recipe_env(self, arch):
env = super().get_recipe_env(arch)
env['LDFLAGS'] += ' -lc++_shared'
return env
recipe = DAWGRecipe()
Don't forget to alter the buildozer.spec. To its p4a.local_recipes, add the local path to /.buildozer/android/platform/python-for-android/pythonforandroid/recipes as that's where we add our recipes.
Clean the previous build by running buildozer android clean
Lastly, run buildozer -v android debug deploy run to build the app on android phone again.
Hope this helps :)
i try to train.py in object_detection in under git url
https://github.com/tensorflow/models/tree/master/research/object_detection
However, the following error occurs.
ModuleNotFoundError: No module named 'object_detection'
So I tried to solve the problem by writing the following code.
import sys
sys.path.append('/home/user/Documents/imgmlreport/inception/models/research/object_detection')
from object_detection.builders import dataset_builder
This problem has not been solved yet.
The directory structure is shown below.
~/object_detection/train.py
~/object_detection/builders/dataset_bulider.py
and here is full error massage
/home/user/anaconda3/lib/python3.6/site-packages/h5py/init.py:34: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated.
In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
Traceback (most recent call last):
File "train.py", line 52, in
import trainer
File"/home/user/Documents/imgmlreport/inception/models/research/object_detection/trainer.py", line 26, in
from object_detection.builders import optimizer_builder
ModuleNotFoundError: No module named 'object_detection'
how can i import modules?
Try install Tensorflow Object Detection Library Packaged
pip install tensorflow-object-detection-api
Cause of this error is installing object_detection library, So one of the solution which can work is running the below command inside models/research
sudo python setup.py install
If such solution does not work, please execute the below command one by one in the directory models/research
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
sudo python setup.py install
I hope this will work. I also faced the same problem while creating model from export_inference_graph.py. It worked for me.
You need to export the environmental variables every time you open a new terminal in that environment.
Please note that there are are back quotes on each of the pwd in the command as this might not be showing in the command below. Back quote is the same as the tilde key without pressing the shift key (US keyboard).
From tensorflow/models/research/
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
try this:
python setup.py build
python setup.py install
There are a number of modules in the object_detection folder, and I have created setup.py in the parent directory(research folder) to import all of them.
from setuptools import find_packages
from setuptools import setup
REQUIRED_PACKAGES = ['Pillow>=1.0', 'Matplotlib>=2.1', 'Cython>=0.28.1']
setup(
name='object_detection',
version='0.1',
install_requires=REQUIRED_PACKAGES,
include_package_data=True,
packages=[p for p in find_packages() if p.startswith('object_detection')],
description='Tensorflow Object Detection Library',
)
You did have "sys.path.append()" before you imported the object detection, so I am surprised that you are facing this error!
Please check that the path you have used in sys.path.append() is right.
Well, the only and obvious answer for the error is that the path of the module is not added properly.
Besides the various ways mentioned here, here is a way in which you can add the "object_detection" path permanently to the PYTHONPATH variable.
If you are using a Linux system, here is how you would go about it:
Go to the Home directory. Press Ctrl + H to show hidden files. You will see a file called ".bashrc". Open this file using a code editor (I used Visual Studio).
In the last line of .bashrc file, add the line:
export PYTHONPATH=/your/module/path:/your/other/module/path:your/someother/module/path
Then press "save" in the code editor. Since ".bashrc" is a "Read-only" file the editor will throw a pop-up saying the same. Also in the pop-up there will be an option that says: "Try with sudo". Hit this button and now you are good to go.
All your modules are now permanently added to the PYTHONPATH. This means that you need not run sys.path.append every time you open your terminal and start a session!
Below is the screenshot with no error when I followed the said steps:
Try this. I hope it helps.
And finally, If you've followed all the steps here and are at your wit's end...make sure the file that you're running (the one with your source code in it ya know), isn't named object_detection.py - that would preclude it being searched for as a module.
Certainly I've never done anything like this that led me to add an embarrassing answer on Stack Overflow...
I had to do:
sudo pip3 install -e . (ref)
sudo python3 setup.py install
System:
OS: Ubuntu 16.04, Anaconda (I guess this is why I need to use pip3 and python3 even I made virtual environment with Pyehon 3.8)
On one of my Windows 7 development machines, I am attempting to install the Python Image Library.
My machines are similar. Both run Windows 7 Professional, x64. Both use Python 2.7.3 (32bit). On one of the machine pip install PIL works fine. On the other it fails with the trace ending with this:
build\temp.win-amd64-2.7\Release\_imaging.pyd.manifest : general error c1010070:
Failed to load and parse the manifest. The system cannot find the file specified.
error: command 'mt.exe' failed with exit status 31
How can I resolve this error?
Thanks to http://bugs.python.org/issue4431, this error was fixed by modifying:
C:\<Python dir>\Lib\distutils\msvc9compiler.py
and adding:
ld_args.append('/MANIFEST')
after the MANIFESTFILE line so it looks like:
# Embedded manifests are recommended - see MSDN article titled
# "How to: Embed a Manifest Inside a C/C++ Application"
# (currently at http://msdn2.microsoft.com/en-us/library/ms235591(VS.80).aspx)
# Ask the linker to generate the manifest in the temp dir, so
# we can embed it later.
temp_manifest = os.path.join(
build_temp,
os.path.basename(output_filename) + ".manifest")
ld_args.append('/MANIFESTFILE:' + temp_manifest)
ld_args.append('/MANIFEST')
If you still get the error, then change the if arg.startswith("/MANIFESTFILE:") to if arg.startswith("/MANIFEST:") in the manifest_get_embed_info(self, target_desc, ld_args) method.
Download the compressed package from pypi, and try building and installing in your machine. This link could give you some hints. That exactly deals with your problem only but the installation varies.
If you've reached here looking for
general error c1010070:
Failed to load and parse the manifest. The system cannot find the file specified.
error: command 'mt.exe' failed with exit status 31
Here's a workaround that worked in Windows 8/x64/Python 3.3/VS 11:
# py 3.3 seems to be compiled against VS 2010 compiler, force using VS11 cl.exe for us
$env:VS100COMNTOOLS=$env:VS110COMNTOOLS
# Modify C:\Python33\lib\distutils\msvc9compiler.py
# Comment line 670: ld_args.append('/MANIFESTFILE:' + temp_manifest)
# Basically it will instruct build to not look for manifest file