I am trying to run object recognition kitchen adn to do mesh_object but when I run
rosrun object_recognition_reconstruction mesh_object --all --visualize --commit
I get this:
import ecto_image_pipeline.conversion
ImportError: No module named conversion
I found somewhere that I have to add the ecto_image_pipeline ros package to my local workspace and build the module by hand but I don't know how to do it. Can anyone help me please?
Related
I am trying to run the AdaIN-style model in Google Colab. In order to do this, I need to install Lua. I saw this question and tried the solution given (reproduced below for convenience), both with the given distro and the official torch distro.
%cd /content/
!git clone https://github.com/nagadomi/distro.git torch --recursive
import os
os.chdir('./torch/')
!bash install-deps
!./install.sh
!. ./install/bin/torch-activate
Now it should work using absolute path to th:
!/content/torch/install/bin/th neural_style.lua -style_image examples/inputs/picasso_selfport1907.jpg -content_image examples/inputs/brad_pitt.jpg
However, the last line fails, giving me the below error
/bin/bash: . ./install/bin/torch-activate: No such file or directory
However, the binary for th seems to exist at the given filepath. Thus, I try to run the given command
th test.lua -content input/content/cornell.jpg -style input/style/woman_with_hat_matisse.jpg
but I get the following error
/content/torch/install/bin/luajit: /content/torch/install/share/lua/5.1/trepl/init.lua:389: module 'cudnn' not found:No LuaRocks module found for cudnn
I tried looking this up further, but wasn't able to make much progress.
I also tried this method, which seems similar to the above, but I get the same errors.
Any pointers would be appreciated.
I am using Ubuntu 22.04 LTS via WSL and working on Python 3.10. When I try to run Drake tutorials locally with python3 -m pydrake.tutorials I get the following error: ERROR: the Jupyter notebook runtime is not installed! which is not the case since I already installed jupyter-notebook using sudo apt-get install jupyter-notebook and can easily open a jupyter notebook myself when typing jupyter notebook.
Additionally, I tried to copy-paste and run the following code from a tutorial:
import pydot
from IPython.display import HTML, SVG, display
from pydrake.all import (AddMultibodyPlantSceneGraph, DiagramBuilder,
FindResourceOrThrow, GenerateHtml,
InverseDynamicsController, MeshcatVisualizer,
MeshcatVisualizerParams, MultibodyPlant, Parser,
Simulator, StartMeshcat)
from manipulation import running_as_notebook
and i get the following error:
ModuleNotFoundError: No module named 'manipulation'
It seems as I don't have a module called manipulation except the one inside pydrake library. Is this a version issue?
I desired to mention it in case the two errors are interconnected.
None of the tutorials in Drake import anything from manipulation. The manipulation textbook repository examples absolutely do. You can find more about those here: https://manipulation.csail.mit.edu/drake.html .
Error that I'm struggling with
I'm trying to use MarsExplorer (https://github.com/dimikout3/MarsExplorer) in google colab, but I'm struggling with properly importing it. I was able to successfully clone the repo, but when I try to run the demo mars_explorer isn't imported. How can I fix this?
Indeed #Dr.Snoopy makes a great point here. This is the line in test.py where it is expected to work:
from mars_explorer.envs.settings import DEFAULT_CONFIG as conf
Now, notice that this is being called from your runtime path, usually root in Colab's case (I suppose), then it should return an error.
Now, if installed, for instance with pip install -e you can both import the module and edit it as you go.
Check out these docs.-,6.1.2.%20The%20Module%20Search%20Path,-%C2%B6), they may be helpful to understand this error.
apply these two commands in colab cell:
!git clone https://github.com/dimikout3/GeneralExplorationPolicy.git
the above command will save GeneralExplorationPolicy folders in your colab and inside this folder you can find mars-explorer folder then make copy of the path of the mars-explorer folder for example. /content/GeneralExplorationPolicy/mars-explorer
then apply this command for install mars-explorer:
!pip install -e /content/GeneralExplorationPolicy/mars-explorer
I have a docker image based from python:3.5-slim, that I added Oracle 12 on it, so my tests on GitLab can run in it.
When GitLab start building the environment, like doing the pip install, I get this error message:
"/builds/root/ppc_busca/venv/bin/python3: error while loading shared libraries: libpython3.6m.so.1.0: cannot open shared object file: No such file or directory"
The thing is, how can it complains about the file 'libpython3.6m' if my python version is 3.5? That is something that I don't understand.
Thanks for the help!
ci professionals,
I cannot figure out why this code cannot find the shared library. Please see the log
https://pastebin.com/KvJP9Ms3
[31mImportError while importing test module '/home/travis/build/alexlib/pyptv/tests/test_pyptv_batch.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
tests/test_pyptv_batch.py:1: in <module>
from pyptv import pyptv_batch
pyptv/pyptv_batch.py:20: in <module>
from optv.calibration import Calibration
E ImportError: liboptv.so: cannot open shared object file: No such file or directory[0m
!!!!!!!!!!!!!!!!!!! Interrupted: 1 errors during collection !!!!!!!!!!!!!!!!!!!!
[1m[31m=========================== 1 error in 0.43 seconds ============================[0m
the pull request
https://github.com/alexlib/pyptv/pull/4
and the build https://travis-ci.org/alexlib/pyptv/builds/342237102
We have a C library (http://github.com/openptv/openptv) that we need to compile and using Cython bindings add to Python, then we use Python through bindings. The tests work locally but not on Travis-CI (great service). I think it's a simple issue with paths, but I couldn't figure out how to deal with this.
Thanks in advance
Alex
The answer I have found was to set also the DYLD_LIBRARY_PATH that is required on Mac OS X:
export PATH=$PATH:/usr/local/lib
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib
export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/usr/local/lib