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GFZ / arosics

AROSICS - Automated and Robust Open-Source Image Co-Registration Software
https://git.gfz-potsdam.de/danschef/arosics
Apache License 2.0
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Anaconda for arosics>=1.3.0 installation uses #22

Closed dpoursanidis closed 1 year ago

dpoursanidis commented 1 year ago

Description

conda create -c conda-forge --name arosics python=3 conda activate arosics conda install -c conda-forge 'arosics>=1.3.0'

The command seems to be running indefinitely and can not find the package.

When not specifing the version the installation is completed conda create -c conda-forge --name arosics python=3 conda activate arosics conda install -c conda-forge arosics

What I Did

After running from arosics import COREG

im_reference = '/path/to/your/ref_image.bsq' im_target = '/path/to/your/tgt_image.bsq'

CR = COREG(im_reference, im_target, wp=(354223, 5805559), ws=(256,256)) CR.calculate_spatial_shifts()

We get the error "cannot import name 'COREG' from partially initialized module 'arosics' (most likely due to a circular import) (D:\Downloads\arosics.py)" 

Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.
danschef commented 1 year ago

First make sure you are running a current version of conda: conda update -n base -c conda-forge conda. Then create the environment with conda create -n arosics -c conda-forge arosics and make sure that this installs the latest version of arosics (1.9.0) and Python 3.11. Using mamba create -n arosics -c conda-forge arosics will be much faster, it just requires you to install mamba first with conda install -n base -c conda-forge mamba. Alternatively, you can also use MambaForge which has mamba installed and uses the conda-forge channel by default.

If it still does not work, paste the output of conda list and conda info here.

danschef commented 1 year ago

@dpoursanidis Did it work for you in the end? If so, please close the issue.

dpoursanidis commented 1 year ago

Will try it the running week and come back. Was abroad.

danschef commented 1 year ago

I close this due to inactivity. Feel free to re-open if the issue still persists.

czarnes22 commented 9 months ago

Hi Daniel, forgive me for asking, perhaps on a trivial matter, but I can not install the tool. While with the environment there is no problem, the installation itself does not finalize. What could be the reason for this?

My conda list: (base) C:\Users\Kamil>conda list

packages in environment at C:\Users\Kamil\anaconda3:

#

Name Version Build Channel

_anaconda_depends 2023.09 py311_mkl_1 abseil-cpp 20211102.0 hd77b12b_0 aiobotocore 2.5.0 py311haa95532_0 aiofiles 22.1.0 py311haa95532_0 aiohttp 3.8.5 py311h2bbff1b_0 aioitertools 0.7.1 pyhd3eb1b0_0 aiosignal 1.2.0 pyhd3eb1b0_0 aiosqlite 0.18.0 py311haa95532_0 alabaster 0.7.12 pyhd3eb1b0_0 anaconda-anon-usage 0.4.2 py311hfc23b7f_0 anaconda-catalogs 0.2.0 py311haa95532_0 anaconda-client 1.12.1 py311haa95532_0 anaconda-cloud-auth 0.1.4 py311haa95532_0 anaconda-navigator 2.5.1 py311haa95532_0 anaconda-project 0.11.1 py311haa95532_0 anyio 3.5.0 py311haa95532_0 aom 3.6.0 hd77b12b_0 appdirs 1.4.4 pyhd3eb1b0_0 archspec 0.2.1 pyhd3eb1b0_0 argon2-cffi 21.3.0 pyhd3eb1b0_0 argon2-cffi-bindings 21.2.0 py311h2bbff1b_0 arrow 1.2.3 py311haa95532_1 arrow-cpp 11.0.0 ha81ea56_2 astroid 2.14.2 py311haa95532_0 astropy 5.3.4 py311hd7041d2_0 asttokens 2.0.5 pyhd3eb1b0_0 async-timeout 4.0.2 py311haa95532_0 atomicwrites 1.4.0 py_0 attrs 23.1.0 py311haa95532_0 automat 20.2.0 py_0 autopep8 1.6.0 pyhd3eb1b0_1 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py311haa95532_0 imbalanced-learn 0.10.1 py311haa95532_1 importlib-metadata 6.0.0 py311haa95532_0 importlib_metadata 6.0.0 hd3eb1b0_0 incremental 21.3.0 pyhd3eb1b0_0 inflection 0.5.1 py311haa95532_0 iniconfig 1.1.1 pyhd3eb1b0_0 intake 0.6.8 py311haa95532_0 intel-openmp 2023.1.0 h59b6b97_46320 intervaltree 3.1.0 pyhd3eb1b0_0 ipykernel 6.25.0 py311h746a85d_0 ipython 8.15.0 py311haa95532_0 ipython_genutils 0.2.0 pyhd3eb1b0_1 ipywidgets 8.0.4 py311haa95532_0 isort 5.9.3 pyhd3eb1b0_0 itemadapter 0.3.0 pyhd3eb1b0_0 itemloaders 1.0.4 pyhd3eb1b0_1 itsdangerous 2.0.1 pyhd3eb1b0_0 jaraco.classes 3.2.1 pyhd3eb1b0_0 jedi 0.18.1 py311haa95532_1 jellyfish 1.0.1 py311h36a85e1_0 jinja2 3.1.2 py311haa95532_0 jinja2-time 0.2.0 pyhd3eb1b0_3 jmespath 1.0.1 py311haa95532_0 joblib 1.2.0 py311haa95532_0 jpeg 9e h2bbff1b_1 jq 1.6 haa95532_1 json5 0.9.6 pyhd3eb1b0_0 jsonpatch 1.32 pyhd3eb1b0_0 jsonpointer 2.1 pyhd3eb1b0_0 jsonschema 4.19.2 py311haa95532_0 jsonschema-specifications 2023.7.1 py311haa95532_0 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danschef commented 9 months ago

Well, as the error message states, your Anaconda seems to have a corrupted version of the plotly package (which is an indirect requirement of AROSICS) at C:\users\Kamil\anaconda3\pkgs\plotly-5.18.0-.... This may be due to a download error or so. Just manually delete this file and try again. If that does not help, run conda clean --all and try again. If that still does not help, you can also delete the entire \pkgs directory. Conda just needs to re-download packages when creating new environments in this case.