Merge pull request #59 from Leengit/resample_or_not

ENH: Support target_magnification and magnification_source parameters.

Author: Leengit

example/tensorflow_stream.ipynb

@@ -115,11 +115,11 @@
     "my_slide0[\"number_pixel_rows_for_chunk\"] = 2048\n",
     "my_slide0[\"number_pixel_columns_for_chunk\"] = 2048\n",
     "\n",
-    "# For each slide, find the appropriate resolution given the desired_magnification and\n",
+    "# For each slide, find the appropriate resolution given the target_magnification and\n",
     "# magnification_tolerance.  In this example, we use the same parameters for each slide,\n",
     "# but this is not required generally.\n",
     "find_resolution_for_slide = hs.configure.FindResolutionForSlide(\n",
-    "    my_study0, desired_magnification=20, magnification_tolerance=0.02\n",
+    "    my_study0, target_magnification=20, magnification_source=\"native\"\n",
     ")\n",
     "for slide in my_study0[\"slides\"].values():\n",
     "    find_resolution_for_slide(slide)\n",
@@ -262,7 +262,8 @@
     "\n",
     "create_tensorflow_dataset = hs.tensorflow.CreateTensorFlowDataset()\n",
     "tiles = create_tensorflow_dataset(my_study_of_tiles)\n",
-    "print(\"Finished with CreateTensorFlowDataset\")"
+    "print(\"Finished with CreateTensorFlowDataset\")\n",
+    "print(f\"... with tile shape = {tiles.take(1).get_single_element()[0][0].shape}\")"
    ]
   },
   {

histomics_stream/__init__.py

@@ -1,6 +1,6 @@
 """Whole-slide image streamer for TensorFlow."""
 
-__version__ = "2.1.8"
+__version__ = "2.2.0"
 
 """