PyPI v21.08.01 release

rapidsai · Aug 11, 2021 · dd34f58 · dd34f58
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diff --git a/README.md b/README.md
@@ -22,8 +22,6 @@
 
 `<CUDA version>` should be 11.0+ (e.g., `11.0`, `11.2`, etc.)
 
-**NOTE:** The first cuCIM conda package (v0.19.0) would be available on 4/19/2021.
-
 #### Conda (nightlies)
 
 > conda create -n cucim -c rapidsai-nightly -c conda-forge cucim cudatoolkit=`<CUDA version>`
@@ -53,6 +51,7 @@ docker rm -v ${tmp_id}
 ```
 
 ## Build/Install from Source
+
 See build [instructions](CONTRIBUTING.md#setting-up-your-build-environment).
 
 ## Contributing Guide

diff --git a/python/cucim/CHANGELOG.md b/python/cucim/CHANGELOG.md
@@ -1,6 +1,14 @@
 
 # Changelog
 
+## [21.08.01](https://github.com/rapidsai/cucim/wiki/release_notes_v21.08.01)
+
+- [New] Add skimage.morphology.thin ([#27](https://github.com/rapidsai/cucim/pull/27))
+- [Bug] Fix missing `__array_interface__` for associated_image(): ([#48](https://github.com/rapidsai/cucim/pull/48), [#65](https://github.com/rapidsai/cucim/pull/65))
+- [Testing] Added unit and performance tests for TIFF loaders ([#62](https://github.com/rapidsai/cucim/pull/62))
+- [Bug] Fix Windows int-type Bug: ([#72](https://github.com/rapidsai/cucim/pull/72))
+- [Update] Use more descriptive ElementwiseKernel names in cucim.skimage: ([#75](https://github.com/rapidsai/cucim/pull/75))
+
 ## [21.06.00](https://github.com/rapidsai/cucim/wiki/release_notes_v21.06.00)
 
 - Implement cache mechanism

diff --git a/python/cucim/README.md b/python/cucim/README.md
@@ -8,6 +8,8 @@
 
 - [GTC 2021 cuCIM: A GPU Image I/O and Processing Toolkit [S32194]](https://www.nvidia.com/en-us/gtc/catalog/?search=cuCIM#/)
   - [video](https://gtc21.event.nvidia.com/media/cuCIM%3A%20A%20GPU%20Image%20I_O%20and%20Processing%20Toolkit%20%5BS32194%5D/1_fwfxd0iu)
+- [SciPy 2021 cuCIM - A GPU image I/O and processing library](https://www.scipy2021.scipy.org/)
+  - [video](https://youtu.be/G46kOOM9xbQ)
 
 ## Quick Start
 
@@ -90,6 +92,10 @@ visualize(region)
 #Image.fromarray(np.asarray(region))
 ```
 
+### Using Cache
+
+Please look at this [notebook](https://nbviewer.jupyter.org/github/rapidsai/cucim/blob/v21.08.01/notebooks/Using_Cache.ipynb).
+
 ### Using scikit-image API
 
 Import `cucim.skimage` instead of `skimage`.