![]() (pyimagej) C:\Users\msout\Anaconda2>conda install scikit-imageĬonfirming that imagej can be imported successfully (pyimagej) C:\Users\msout\Anaconda2\envs\pyimagej>activate pyimagej (pyimagej) C:\Users\msout\Anaconda2>pip install update scyjava (pyimagej) C:\Users\msout\Anaconda2>pip install update pyjnius (pyimagej) C:\Users\msout\Anaconda2>pip install update maven (pyimagej) C:\Users\msout\Anaconda2>pip install update imglyb (pyimagej) C:\Users\msout\Anaconda2>conda install cython (pyimagej) C:\Users\msout\Anaconda2>conda install requests C:\Users\msout\Anaconda2>activate pyimagej If memory serves, most of the entries beyond cython came back as already satisfied. Making sure that the environment has all the modules it needs: any that were willing to cooperate with conda were installed as such. Using the Anaconda Command Prompt in Administrator mode: C:\Users\msout\Anaconda2>conda config -add channels conda-forgeĬ:\Users\msout\Anaconda2>conda config -set channel_priority strictĬ:\Users\msout\Anaconda2>conda create -n pyimagej pyimagej openjdk=8 ![]() I’m working with python 2.7 in Spyder, so I’ve created a python3 virtual env in my Anaconda2 folder via the recommended method. I’m not really familiar with java, so there’s a chance I’ve done something explicitly incorrect, but I figured I’d post my experiences regardless. For context, the end goal is to create many 2-frame hyperstacks and get the Advanced PIV plugin up and running without any memory issues (this certainly involves closing things as we go, but that’s likely a logistics discussion for another time). It has proven to be quite the challenge to get things running. I’ve been working to automate a lot of my labs data collection and analysis in python, so I’ve started working recently with pyimagej.
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