The following NEW packages will be INSTALLED: Python_abi-3.7 | 1_cp37m 4 KB conda-forge Liblapacke-3.8.0 | 15_mkl 3.5 MB conda-forge Pytest-arraydiff -> pytest -> importlib_metadata Pytest-astropy -> pytest-doctestplus -> pytest -> importlib_metadata Pytest-remotedata -> pytest -> importlib_metadata Scikit-learn -> mkl-service -> importlib_metadata UnsatisfiableError: The following specifications were found to be incompatible with each other: Initial quick solve with frozen env failed. S1 returns False for the rasterio vs opencv test, whereas s2 returns True for the same.(base) C:\Users\barce>conda install -c conda-forge opencvĬollecting package metadata (repodata.json): done Link to image here Output # For s1 (opencv from pip) Print(f"Rasterio and OpenCV = ")Ĭreate two environments as follows: conda create -n s1 -c conda-forge rasterio scikit-image python=3.7Ĭonda create -n s2 -c conda-forge rasterio scikit-image opencv python=3.7 Im1 = im1.transpose(1, 2, 0) # CHW to HWC
The following is the script and image I used to test this.
Depending on whether opencv was installed via conda or pip, it reads the same image differently.
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