Comments (3)
My guess is that pip install
uses wheels which are actually dependent on the version that was used to build and this is leading to this incompatibility.
Maybe pip install --no-binary mahotas
would work
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Ah, so pip install mahotas --no-binary :all:
will do it (without the :all
I get an error). Another way that works is pip install git+https://github.com/luispedro/mahotas.git
. Thanks!
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If someone finds this problem, it looks like an outdated NumPy version in the author environment.
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Related Issues (20)
- Find the the haralick feature name from the value using Mahotas HOT 1
- Proposing a PR to fix a few small typos
- "Input data has unexpected types" - Bug in mahotas.features.lbp.lbp HOT 1
- Publish wheels for python 3.9 HOT 3
- Error in using the Zernike moments. HOT 6
- Add support to release linux aarch64 wheels
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- Latest version (1.4.12) is without a source distribution HOT 2
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- Make dilate and erode accept floats HOT 5
- Python 3.11 wheels HOT 1
- Is it possible to *not* release the GIL? HOT 4
- Online documentation outdated HOT 2
- Mahotas.features.haralick takes too long to compute when distance increases is greater than 100.
- Texture Correlation Calculation HOT 1
- Segmentation fault: test_negative_values_haralick crashes Python on linux-aarch64 HOT 1
- Failure on pip install mahotas HOT 15
- How to return classification? After training the model HOT 2
- `std::random_shuffle` deprecated in C++14 and removed in C++17 HOT 4
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