In VS Code I created a virtualenv, installed opencv and wrote a few functions. The functions (which import cv2) work fine when running from terminal.
I now want to use those functions to collect some data in a jupyter notebook, so I added the venv kernel to jupyter, but when I try to import cv2 it says No module named 'cv2'
The venv is located in projects\francine\venv so everything looks right.
Related
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 .
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.
Im trying out this article;
https://towardsdatascience.com/deep-learning-based-super-resolution-with-opencv-4fd736678066
this is the code copied out of the article;
import cv2
from cv2 import dnn_superres
sr = dnn_superres.DnnSuperResImpl_create()
image = cv2.imread('./input.png')
path = "EDSR_x3.pb"
sr.readModel(path)
sr.setModel("edsr", 3)
result = sr.upsample(image)
cv2.imwrite("./upscaled.png", result)
i also tried opencv Super Resolution Tutorial;
https://docs.opencv.org/master/d5/d29/tutorial_dnn_superres_upscale_image_single.html
import cv2
from cv2 import dnn_superres
sr = dnn_superres.DnnSuperResImpl_create()
image = cv2.imread('./image.png')
path = "EDSR_x4.pb"
sr.readModel(path)
sr.setModel("edsr", 4)
result = sr.upsample(image)
cv2.imwrite("./upscaled.png", result)
My enviroment is anaconda3 opencv 4.3.0.
I either get the error from the title or i get "killed" when i run the opencv example.
*My file directory is all on the same level of the sample codes. I would just change my image file names.
I did try to compile opencv and opencv_contrib from cmake but, i didn't know how to have python refer to opencv and opencv_contrib from source.
ifollow this documentation to install opencv from source;
https://d*ocs.opencv.org/3.4/d2/de6/tutorial_py_setup_in_ubuntu.html
I opted to use anaconda wrapping of opencv 4.3.0 because i ran into too many dependency and wrongly installed package problems.
My friend from a meetup managed to apply the code from the article just as the article depicted while i tried to follow exactly what he did, using an anaconda enviorment. Would my problem stem from my virtual enviorment or opencv package version or the code itself? i did have another colleague run my code from my github branch and he had my exact same problems. How should i apprach the bugs im having and apply the super resolution examples i found?
The error 'Model not specified' comes from the fact that the Net is empty. You have to actually download the model and then provide the path to the 'sr.readModel()' function.
If you did that and it still does not work, you could try these two things:
Try a smaller image (in .png format).
Build OpenCV from source. Do not forget the contrib modules (this is where the dnn_superres module resides). You said you had a problem linking python. I would suggest to use this tutorial. After following that tutorial, do the following command (after you already did sudo make install), to link the python libraries:
sudo ldconfig
I am trying to use object_detection API in google cloud notebook. I followed installation instruction. It appears that I have no problem to import api in python3.
Python 3.5.3 (default, Sep 27 2018, 17:25:39)
[GCC 6.3.0 20170516] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import object_detection
>>> from object_detection.utils import dataset_util
2019-09-12 08:53:29.964341: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
However, I was not able to do same thing in jupyter notebook.
Ok. According to what I can find on_line. I tried following things: (1) cd $home (2)nano .bashrc (3) add one line:
export JUPYTER_PATH="/home/jupyter/Tensorflow/models/research/":$JUPYTER_PATH
It turns out this didn't work neither. I am not sure if there is anything I did wrong.
Any suggestion is highly appreciated.
Thanks.
#derec after you have added the required line, type this command: source .bashrc.
This executes the .bashrc file and then close the terminal window.
Whenever you edit .bashrc file, always put the above mentioned command after editing it.
I am attempting to python3 proof my work and spyder seems to be having an issue with absolute_import.
For demonstration purposes I created two simple files. caller and callme
caller
from __future__ import absolute_import
from .callme import helloWorld
def runme(msg):
helloWorld(msg)
if __name__ == "__main__":
runme('It worked!')
callme
def helloWorld(msg):
print("helloWorld's message is '{}'".format(msg))
if __name__ == "__main__":
helloWorld('Hi')
When attempting to run caller from spyder I get the following error:
ValueError: Attempted relative import in non-package
Running from ipython via the anaconda prompt (python 2) or from jupyter notebook (running python3 or python2) both work properly.
Ideas on how to fix spyder's behavior so it properly recognizes absolute_import?
Spyder versions tried:
3.2.4 Python 2.7.14 64bits, Qt 5.6.2, PyQt5 5.6 on Windows 10
3.3.2 Python 2.7.14 64-bit | Qt 5.6.2 | PyQt5 5.6 | Windows 10
Update
Updating spyder via conda update spyder (now version 3.3.2) did not fix the issue.
If you run python caller.py in a system terminal, you'll get exactly the same error as the one you posted, i.e.
ValueError: Attempted relative import in non-package
So this is not a problem with Spyder (because Spyder runs something similar to python caller.py when you execute a file with Run > Run), but with the way relative imports works.
Please see this answer for a proper explanation:
https://stackoverflow.com/a/11537218/438386
In essence, you can't use relative imports in scripts.
Note: There's a workaround to avoid this error, as described in this answer:
https://stackoverflow.com/a/11536794/438386
However, we don't have the ability to execute a script as a package in Spyder, sorry.