CellProfiler 4.0.0, which is on release candidate 4.0.0rc2, SHOULD be stable enough by now to try and have work pretty well, if you want to bypass that and just use our master branch in Python3.8, though we of course can’t guarantee full stability until we do the release.
Hi, would you mind if I asked you a few more questions?
I still have some issues with the versions.
Here is what I face:
With Python2 virtual environment and CP 3.1.9, I have an error “ValueError: numpy.ufunc size changed, may indicate binary incompatibility” while importing cellprofiler.pipeline
Here is my pip freeze. pipfreeze_py27.txt (2.7 KB)
With Python3 conda environment and CP 3.1.9, I don’t have the numpy error. However, the issue with this setting is when I load the pipeline. In /pipeline.py loadtxt(), it throws error exception “Failed to load pipeline” when the line in cppipe goes to “select the input image” in CorrectIlluminationCalculate.
I wonder if this error is about my cppipe file. test.cppipe (2.4 KB)
Here is my pip freeze for this setting. pipfreez.txt (2.7 KB)
Any advice would be greatly appreciated.