I am getting below error when running mlflow app
raise AttributeError("module {!r} has no attribute " AttributeError:
module 'numpy' has no attribute 'object'
Can someone help me with this
Since version 1.24 of numpy, np.object is deprecated, and needs to be replaced with object (cf. numpy release notes).
You either need to update this in your code, or another package you're using needs to be updated (not possible to answer without more information).
One (dirty) workaround for now would be to fix your numpy version to the last version still supporting np.object with pip install numpy==1.23.4
This error sometime occurs when an older version of numpy is been imported by other package, which does not have the 'object' attribute on it.
You can try the following:
Solution 1: pip install --upgrade numpy
Solution 2: Re-install numpy
pip uninstall numpy
pip install numpy
Solution 3 (if you are using conda package manager): conda update numpy
Last but not least, in case if you are running multiple version of python on your machine, you have to check which version of python your MLflow is using.
You can check that by running which pythonin command line and then make sure that the required version of numpy is installed.
The Python "AttributeError module 'numpy' has no attribute 'object'" occurs when we have a local file named numpy.py and try to import it from the numpy module. To solve the error, make sure to rename any local files named numpy.py.
Another way: Check that the file you are running was named numpy.py. If you have this problem check to make sure you don't have a file in the directory called numpy.py.
In most cases, rename your project local file numpy.py and delete numpy.pyc if it exists, then your project file script will run without an attribute error.
Easy way to check is to move the file with the import statement to a different directory and try running it.
Please check whether you have installed a newer pip updated numpy version.
Also check the similar SO for more information.
I installed opencv using the conda command:
conda install -c conda-forge opencv
The installation was successful without errors. Typing conda list also indicates opencv installed. But import cv2 gives the error: DLL load failed: The specified module could not be found.
I note the opencv does not show up in the Lib/site-packages folder, but occurs in the pkgs folder, that is, C:\\Anaconda\\Anaconda3.7\\pkgs\\opencv-4.1.1-py37h6afde12_1. The site-packages folder has a file cv2.cp37-win_amd64.pyd;
What is problem with the import cv2 error? Was the conda-based opencv installation really successful? My python version is python3.7.1.
A similar problem has been reported here DLL load failed error when importing cv2
Try to install with pip. 'pip install opencv-python'
Did you install the contribution packages of opencv?
I am trying to create a cascade classifier for my program.The docs mention using a script in order to help generate positive images, but I don't know where to get this script. I am wondering if the opencv_createsamples application is available for opencv installs via conda. How can I obtain it?
You can obtain the script executable by either building OpenCV v3 from source. The conda install will not include them. You will find the applications and how to build them in the repositorys apps folder
If you are on Linux there is a package available: sudo apt get install libopencv
After you install you can run opencv_createsamples [options]
Manpage
I want to install OpenCV. First thing I did was creating a virtual environment by following command in Ubuntu 16:
" conda create -n opencv3.4_py3.6 "
Then, I followed the official instruction here (Building OpenCV from source):
https://docs.opencv.org/3.4/d2/de6/tutorial_py_setup_in_ubuntu.html
However, when I tried to install dependencies, the following message came up:
Unable to locate package "Package Name"
As it can be seen int the attached image
My purpose is installing OpenCV in a Virtual Environment. Also, I want to import and use OpenCV in Spyder.
Any idea about how it can be done?
(Spyder maintainer here) After doing
conda create -n opencv3.4_py3.6
you need to run these other three commands to get what you want
source activate opencv3.4_py3.6
conda install opencv python=3.6*
conda install spyder
You don't need to compile Opencv because you can install it with conda.
I'm following some lectures from lynda.com about deep learning using Keras-TensorFlow in a PyCharmCE enviroment and they didn't have this problem.
I get this error:
raise ImportError('Could not import PIL.Image. '
ImportError: Could not import PIL.Image. The use of array_to_img requires PIL.
I have checked if others get the same error, but for me installing pillow using pip with the command pip install Pillow doesn't solve anything.
MacBook-Pro-de-Rogelio:~ Rogelio$ pip install Pillow
Requirement already satisfied: Pillow in ./anaconda3/lib/python3.6/site-packages
MacBook-Pro-de-Rogelio:~ Rogelio$
Any solution?
All you need to do is install pillow:
pip install pillow
Then you should be all set. Found this after hours of searching.
I had the exact same error and I fixed it the following way:
1) Run this command in your Jupyter Notebook:
import sys
from PIL import Image
sys.modules['Image'] = Image
2) Run the following two lines in your notebook to be sure that they are correctly pointing to the same directory (if not it's because your PIL old library is messing up with the Pillow library)
from PIL import Image
print(Image.__file__)
import Image
print(Image.__file__)
3) If that's working correctly and both import prints pointing to the same python3 directory then move on.
If not:
3.a) Go to your OS console and to your conda environment (be sure you are working within your desire conda environment) :
conda uninstall PIL
conda uninstall Pillow
conda install Pillow
You should now have successfully installed all the libraries for Pillow and let behind any problems with PIL.
3.b) Now try to execute the code of your jupyer notebook again, now the paths to both the imports should look exactly the same
4) Now, in the OS console/terminal, having your desired conda environment active, run the following commands:
conda install keras
conda install tensorflow
5) Run your jupyter notebook script again, It should be fixed and working now!
If it's still not working, it must be because you have opened a jupyter notebook kernel that's not point to the right environment. Fix that and you will be fine!
If this problem is being seen on an Anaconda env,
use
conda install pillow
and reopen
I ran into a similar issue with keras + tensorflow + miniconda.
I followed this advice from this issue : https://github.com/asataniAIR/Image_DL_Tutorial/issues/4 and did a pip install in conda admin console.
So I enter
pip install --upgrade tensorflow keras numpy pandas sklearn pillow
on anaconda prompt, and add
from sklearn.preprocessing import LabelEncoder
in python code instead
from PIL import Image
Here's what worked for me. Uninstall the conda version of pillow and install the pip version, then restart the kernel of your Jupyter Notebook
conda uninstall --force pillow
pip install pillow
pip install pillow
This did it for me as well.
I am using Jupyter Notebook, and Tensorflow2.0 Keras. To set the context, I got this error when i was trying to use builtin image.load_img() function in Keras. You will have to restart your kernel as well after doing this install.
I encountered the same problem while working on Pycharm. Even after trying various methods on the internet, I could not solve it. When I ran the code on Jupyter notebook, it asked me to install the module, SciPy. I installed it and the code is now working on Pycharm.
I have the same problem good news is it can be easily solvable.
my problem was:
I was using jupyter notebook for my python project which was launched using Anaconda navigator. In the python program I was using the function
image_ = image.load_img(image_path, target_size=(224,224))
then I got this error "raise ImportError('Could not import PIL.Image. ' ImportError: Could not import PIL.Image."
solution worked for me:
in the environment you are using for jupyternotebook firstly uninstall pillow using the command
conda uninstall --force pillow
then install it using the command
pip install pillow
(type these commands in the anaconda prompt)
then close all your notebooks and anaconda navigator, open anaconda navigator with the environment that you have installed before, in that environment launch the jupyter notebook and run the code
it will work
I had the exact same question. And I fixed it by changing my environment variables. Because I had two versions of python in my windows PC.
So I changed the priority, and moved the python 3.x version at the top position.
Then I reinstalled the pillow, and the problem was solved.
if pip and conda installing is not working for you try to:
pip3 install pillow
and then:
from PIL import Image
It should work! Check your python version and which one are you using as default! :)
Using a conda environment run conda install pillow. If you're using Jupyter notebook, don't forget to restart the Kernel.
This just worked for me.
If anyone wondering the above-mentioned process can be implemented using anaconda navigator.
Open the navigator, go to the Environments tab you are currently working and search pillow from the uninstalled tab before the search tab (if it's not installed in the current environment you are working)
Then select pillow and apply. Install then.
After that go to Home tab and launch Spyder.
If your using Anaconda 3, u have to install Pillow in the environment that your working on. just go to the not install section and search for Pillow, then install it to the environment. This way will nail the problem for you.
Install these:
$ pip install pillow -U
$ pip install pathlib -U
It may be a version issue, I had this issue with TensorFlow 3.2.0 and setting pillow to 8.2.0 worked for me somehow along the way of uninstall/reinstall/restart.