Release 0.2.2. See CHANGELOG.md for changes.

CHANGELOG.md

@@ -1,3 +1,18 @@
+# clara-viz 0.2.2 (October 17 2022)
+
+## Bug Fixes
+
+* Jupyter notebooks fail with AttributeError: 'Widget' object has no attribute 'on_displayed' (https://github.com/NVIDIA/clara-viz/issues/23)
+
+## Security
+
+* Update Jupyter widget Java code packages to fix vulnerabilities
+
+## Documentation
+
+* pip install fails on Windows machines (https://github.com/NVIDIA/clara-viz/issues/22)
+  * Windows is not supported, added a section on supported OS to readme
+
 # clara-viz 0.2.1 (March 29 2022)
 
 ## Bug Fixes

README.md

@@ -2,7 +2,7 @@
 
 NVIDIA Clara Viz is a platform for visualization of 2D/3D medical imaging data. It enables building applications
 that leverage powerful volumetric visualization using CUDA-based ray tracing. It also allows viewing of multi resolution
-images used in digital pathology. 
+images used in digital pathology.
 
 <div style="display: flex; width: 100%; justify-content: center;">
   <div style="padding: 5px; height: 200px;">
@@ -22,6 +22,7 @@ On Windows, starting with Chrome version 91 (also with Microsoft Edge) the inter
 
 ## Requirements
 
+* OS: Linux x86_64
 * NVIDIA GPU: Pascal or newer, including Pascal, Volta, Turing and Ampere families
 * NVIDIA driver: 450.36.06+
 
@@ -120,4 +121,4 @@ is used in this project.
 
 Apache-2.0 License (see `LICENSE` file).
 
-Copyright (c) 2020-2021, NVIDIA CORPORATION.
+Copyright (c) 2020-2021, NVIDIA CORPORATION.

notebooks/Interactive_widget.ipynb

@@ -29,11 +29,10 @@
     "data_filename = 'bonsai_256x256x256_uint8.raw'\n",
     "if not os.path.exists('data/bonsai/' + data_filename):\n",
     "    print('Downloading {}'.format(data_filename))\n",
-    "    urlretrieve('http://cdn.klacansky.com/open-scivis-datasets/bonsai/' + data_filename, 'data/bonsai/' + data_filename)\n",
+    "    urlretrieve('https://klacansky.com/open-scivis-datasets/bonsai/' + data_filename, 'data/bonsai/' + data_filename)\n",
     "\n",
     "header_filename = 'bonsai.nhdr'\n",
     "if not os.path.exists('data/bonsai/' + header_filename):\n",
-    "    url = 'https://klacansky.com/open-scivis-datasets/metadata/bonsai.nhdr'\n",
     "    print('Downloading {}'.format(header_filename))\n",
     "    urlretrieve('https://klacansky.com/open-scivis-datasets/metadata/' + header_filename, 'data/bonsai/' + header_filename)\n",
     "\n",