Comments (3)
Just fixed this by pinning the python version to 3.9 based on #53. Can now load/import samgeo
. Recommend updating docs on installation to pin the conda-forge installation to Python 3.9. Can PR it if you like.
What I did
mamba create -n samgeo segment-geospatial python==3.9 leafmap -c conda-forge
What new docs should be
conda install -n base mamba -c conda-forge
mamba create -n geo segment-geospatial python==3.9 -c conda-forge
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Thanks for reporting. This is probably an issue specific to Windows. The CI seems working fine for Python 3.9-3.11 on Linux. https://github.com/opengeos/segment-geospatial/actions/workflows/ubuntu.yml
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Fixed in #77
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Related Issues (20)
- localtileserver issue HOT 9
- Add Batch process for fast same
- failed in activating conda environment HOT 3
- installing dependencies error HOT 2
- Add batch processing for Fast-SAM
- Add_vector is not working always, segment geopackage is not loading onto the map HOT 1
- Mask from automatic mask generator with batch mode not working
- samgeo.hq_sam not working in docker HOT 4
- Add SAM-based object detection using selecting just one sample of a class HOT 2
- Add support for EfficientSAM
- samgeo fails to load in conda/mamba environment HOT 1
- self.save_masks unique value mask results are covered HOT 1
- Initialise FastSAM is not working HOT 7
- samgeo installation failed on arcggis pro 2.9 HOT 2
- Problem with the Interactive segmentation using Points on Image HOT 1
- Arcgis Pro 3.2 samgeo installation error: rumtime error HOT 1
- batch predict
- sam.generate(): Error with uploaded images HOT 2
- warning libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE Could not solve for environment specs The following package could not be installed └─ segment-geospatial is installable and it requires └─ pycocotools with the potential options HOT 5
- SamGeo() cannot download model vit_h (samgeo.hq_sam) HOT 7
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