updated docs

dusty-nv · May 2, 2023 · 749b1a9 · 749b1a9
1 parent 6fa89be
commit 749b1a9
Show file tree

Hide file tree

Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/README.md b/README.md
@@ -122,7 +122,7 @@ Introductory code walkthroughs of using the library are covered during these ste
 * [Coding Your Own Image Recognition Program (Python)](docs/imagenet-example-python-2.md)
 * [Coding Your Own Image Recognition Program (C++)](docs/imagenet-example-2.md)
 
-Additional C++ and Python samples for running the networks on static images and live camera streams can be found here:
+Additional C++ and Python samples for running the networks on images and live camera streams can be found here:
 
 |                   | C++              | Python             |
 |-------------------|---------------------|---------------------|
@@ -134,7 +134,7 @@ Additional C++ and Python samples for running the networks on static images and
 | &nbsp;&nbsp;&nbsp;Background Removal | [`backgroundnet.cpp`](examples/backgroundnet/backgroundnet.cpp) | [`backgroundnet.py`](python/examples/backgroundnet.py) |
 | &nbsp;&nbsp;&nbsp;Monocular Depth    | [`depthnet.cpp`](examples/depthnet/segnet.cpp) | [`depthnet.py`](python/examples/depthnet.py) |
 
-> **note**:  for working with numpy arrays, see [Converting to Numpy Arrays](docs/aux-image.md#converting-to-numpy-arrays) and [Converting from Numpy Arrays](docs/aux-image.md#converting-from-numpy-arrays)
+> **note**:  for using memory with other Python libraries (like Numpy, PyTorch, ect) see the [Array Interfaces](docs/aux-image.md#array-interfaces) section.
 
 These examples will automatically be compiled while [Building the Project from Source](docs/building-repo-2.md), and are able to run the pre-trained models listed below in addition to custom models provided by the user.  Launch each example with `--help` for usage info.
 

diff --git a/docs/aux-image.md b/docs/aux-image.md
@@ -186,7 +186,7 @@ So you can do things like `img.width` and `img.height` to access properties abou
 
 ### Array Interfaces
 
-There exist several ways to access the `cudaImage` memory from Python, for interoperability with other libraries:
+For zero-copy interoperability with other libraries, there exist several ways to access the `cudaImage` memory from Python: 
 
 * [Indexing images directly from Python](#accessing-image-data-in-python)
 * [Numpy `__array__` interface](#accessing-as-a-numpy-array), [`cudaToNumpy()`](#converting-to-numpy-arrays), [`cudaFromNumpy()`](#converting-from-numpy-arrays)