Merge pull request #273 from ESA-APEx/parceldelineation_python311

convert Parceldelineation code to run on python311

Author: manugv

algorithm_catalog/vito/parcel_delineation/benchmark_scenarios/parcel_delineation.json

@@ -7,7 +7,7 @@
         "process_graph": {
             "parcel_delineation1": {
                 "process_id": "parcel_delineation",
-                "namespace": "https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/1e3f985ec46c62086f3e4406a0f9f572c43f5865/algorithm_catalog/vito/parcel_delineation/openeo_udp/parcel_delineation.json",
+                "namespace": "https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/e42aebde2a133168bd88430a3dac8122743bd8c9/algorithm_catalog/vito/parcel_delineation/openeo_udp/parcel_delineation.json",
                 "arguments": {
                     "spatial_extent": {
 			"west": 5.0,

algorithm_catalog/vito/parcel_delineation/openeo_udp/generate.py

@@ -53,7 +53,7 @@ def generate() -> dict:
 
     # Apply ML algorithm
     # apply a neural network, requires 128x128 pixel 'chunks' as input.
-    segment_udf = openeo.UDF.from_file("udf_segmentation.py", version="3.8")
+    segment_udf = openeo.UDF.from_file("udf_segmentation.py", version="3.11")
     segmentationband = ndviband.apply_neighborhood(
         process=segment_udf,
         size=[{"dimension": "x", "value": 64, "unit": "px"}, {"dimension": "y", "value": 64, "unit": "px"}],
@@ -62,15 +62,15 @@ def generate() -> dict:
 
     # Postprocess the output from the neural network using a sobel filter and
     # Felzenszwalb's algorithm, which are then merged.
-    segment_postprocess_udf = openeo.UDF.from_file("udf_sobel_felzenszwalb.py")
+    segment_postprocess_udf = openeo.UDF.from_file("udf_sobel_felzenszwalb.py", version="3.11")
     sobel_felzenszwalb = segmentationband.apply_neighborhood(
         process=segment_postprocess_udf,
         size=[{"dimension": "x", "value": 2048, "unit": "px"}, {"dimension": "y", "value": 2048, "unit": "px"}],
         overlap=[{"dimension": "x", "value": 0, "unit": "px"}, {"dimension": "y", "value": 0, "unit": "px"}],
     )
     job_options = {
         "udf-dependency-archives": [
-            "https://artifactory.vgt.vito.be/auxdata-public/openeo/onnx_dependencies.zip#onnx_deps",
+            "https://s3.waw3-1.cloudferro.com/swift/v1/project_dependencies/onnx_deps_python311.zip#onnx_deps",
             "https://artifactory.vgt.vito.be/artifactory/auxdata-public/openeo/parcelDelination/BelgiumCropMap_unet_3BandsGenerator_Models.zip#onnx_models",
         ],
         "driver-memory": "500m",