eugh

Author: Ciaran1981

geolearn_env13.yml

@@ -0,0 +1,57 @@
+name: geolearn13
+
+channels:
+  - pytorch
+  - conda-forge
+
+
+dependencies:
+  - python=3 
+  - pip
+  - scikit-image
+  - scikit-learn=1.3.0
+  - pytorch
+  - torchvision
+  - segmentation-models-pytorch
+  - jupyter
+  - matplotlib
+  - opencv
+  - gdal
+  - lightgbm
+  - git
+  - pandas
+  - albumentations
+  - ipywidgets
+  - pandas
+  - shapely
+  - xgboost
+  - pysal
+  - pyshp
+  - pytables
+  - mahotas
+#  - sqlalchemy ?
+#  - urbanaccess ?
+  - napari
+  - scikit-plot
+  - dask-ml
+#  - auto-sklearn requires too old sklearn
+  - ipywidgets
+#  - nb_conda causing problems on HPC & py3.1
+  - owslib
+  - optuna
+  - plotly
+  - openpyxl
+  - skorch
+
+  - pip:
+    - morphsnakes
+    - xmltodict
+    - simpledbf
+    - pyfftw
+    - phasepack
+    - SimpleCRF
+    - git+https://github.com/Ciaran1981/geospatial-learn#egg=geospatial-learn
+#py
+
+
+

geolearn_env_nongpu.yml

@@ -0,0 +1,54 @@
+name: geolearn
+
+channels:
+  - pytorch
+  - conda-forge
+
+
+dependencies:
+  - python=3 
+  - pip
+  - scikit-image
+  - scikit-learn
+  - pytorch
+  - torchvision
+  - segmentation-models-pytorch
+  - jupyter
+  - matplotlib
+  - opencv
+  - gdal
+  - lightgbm
+  - git
+  - pandas
+  - albumentations
+  - ipywidgets
+  - pandas
+  - shapely
+  - xgboost
+  - pysal
+  - pyshp
+  - pytables
+  - mahotas
+#  - sqlalchemy ?
+#  - urbanaccess ?
+  - napari
+  - scikit-plot
+  - dask-ml
+#  - auto-sklearn requires too old sklearn
+  - ipywidgets
+#  - nb_conda causing problems on HPC & py3.1
+  - owslib
+  - optuna
+  - plotly
+  - openpyxl
+  - skorch
+
+  - pip:
+    - morphsnakes
+    - xmltodict
+    - simpledbf
+    - pyfftw
+    - phasepack
+    - SimpleCRF
+    - git+https://github.com/Ciaran1981/geospatial-learn#egg=geospatial-learn
+#py

geospatial_learn/raster.py

@@ -1771,7 +1771,7 @@ def set_bandnames(inras, names):
     rds = None
 
 def rasterize(inShp, inRas, outRas, field=None, fmt="Gtiff", 
-              dtype=gdal.GDT_Int32):
+              dtype=gdal.GDT_Int32, options=None, **kwargs):
 
     """ 
     Rasterize a polygon to the extent & geo transform of another raster
@@ -1795,6 +1795,10 @@ def rasterize(inShp, inRas, outRas, field=None, fmt="Gtiff",
             gdal dtype for output raster - consider the dtytpe of the field
             you are burning
     
+    options: list of strings
+            gdal options eg ['ALL_TOUCHED=TRUE'] 
+            
+    
     """
 
 
@@ -1812,10 +1816,15 @@ def rasterize(inShp, inRas, outRas, field=None, fmt="Gtiff",
 
 
     if field == None:
-        gdal.RasterizeLayer(outDataset, [1], lyr, burn_values=[1])
+        gdal.RasterizeLayer(outDataset, [1], lyr, burn_values=[1], options=options,
+                            **kwargs)
     else:
         print('rasterizing', field)
-        gdal.RasterizeLayer(outDataset, [1], lyr, options=["ATTRIBUTE="+field])
+        
+        opts = options+["ATTRIBUTE="+field]
+        
+        gdal.RasterizeLayer(outDataset, [1], lyr, options=opts,
+                            **kwargs)
 
     outDataset.FlushCache()