Update to 1.1.8 release

This release is compatible with DeepStream SDK 6.3

Ubuntu 20.04
Python 3.8
DeepStream SDK 6.3

Features:
- New interactive Jupyter notebook for LaunchPad demo
- New binding added: configure_source_for_ntp_sync()
- Updated deepstream-rtsp-in-rtsp-out app with new command line argument demonstrating above binding
- Updated apps that use tracker for deprecated configs

Author: nv-camilleh

FAQ.md

@@ -152,5 +152,5 @@ The pyds wheel installs the pyds.so library where all the pip packages are store
 
 Command to install the pyds wheel is:
 ```bash
-   $ pip3 install ./pyds-1.1.6-py3-none*.whl
+   $ pip3 install ./pyds-1.1.8-py3-none*.whl
 ```

HOWTO.md

@@ -16,7 +16,7 @@ This guide provides resources for DeepStream application development in Python.
 ## Prerequisites
 
 * Ubuntu 20.04
-* [DeepStream SDK 6.2](https://developer.nvidia.com/deepstream-download) or later
+* [DeepStream SDK 6.3](https://developer.nvidia.com/deepstream-download) or later
 * Python 3.8
 * [Gst Python](https://gstreamer.freedesktop.org/modules/gst-python.html) v1.16.2
 
@@ -46,11 +46,11 @@ Note: Compiling bindings now also generates a pip installable python wheel for t
 <a name="run_samples"></a>
 ## Running Sample Applications
 
-Clone the deepstream_python_apps repo under <DeepStream 6.2 ROOT>/sources:
+Clone the deepstream_python_apps repo under <DeepStream ROOT>/sources:
 git clone https://github.com/NVIDIA-AI-IOT/deepstream_python_apps
 
 This will create the following directory:  
-```<DeepStream 6.2 ROOT>/sources/deepstream_python_apps```
+```<DeepStream ROOT>/sources/deepstream_python_apps```
 
 The Python apps are under the "apps" directory.  
 Go into each app directory and follow instructions in the README.  

README.md

@@ -2,11 +2,11 @@
 
 This repository contains Python bindings and sample applications for the [DeepStream SDK](https://developer.nvidia.com/deepstream-sdk).  
 
-SDK version supported: 6.2
+SDK version supported: 6.3
 
 <b>The bindings sources along with build instructions are now available under [bindings](bindings)! We now include a [guide](bindings/BINDINGSGUIDE.md) for contributing to bindings and another [guide](bindings/CUSTOMUSERMETAGUIDE.md) for advanced use-cases such as writing bindings for custom data structures.</b>
 
-<b>This release only supports Ubuntu 20.04 for DeepStreamSDK 6.2 with Python 3.8 and [gst-python](3rdparty/gst-python/) 1.16.2! Ubuntu 18.04 support is now deprecrated.</b>
+<b>This release only supports Ubuntu 20.04 for DeepStreamSDK 6.3 with Python 3.8 and [gst-python](3rdparty/gst-python/) 1.16.2! Ubuntu 18.04 support is now deprecrated.</b>
 
 Download the latest release package complete with bindings and sample applications from the [release section](../../releases).  
 
@@ -41,7 +41,7 @@ To run the sample applications or write your own, please consult the [HOW-TO Gui
 </p>
 
 We currently provide the following sample applications:
-* <b>UPDATED</b> [deepstream-test1](apps/deepstream-test1) -- 4-class object detection pipeline - now also demonstrates support for new nvstreammux
+* [deepstream-test1](apps/deepstream-test1) -- 4-class object detection pipeline - now also demonstrates support for new nvstreammux
 * [deepstream-test2](apps/deepstream-test2) -- 4-class object detection, tracking and attribute classification pipeline
 * [deepstream-test3](apps/deepstream-test3) -- multi-stream pipeline performing 4-class object detection - now also supports triton inference server, no-display mode, file-loop and silent mode
 * [deepstream-test4](apps/deepstream-test4) -- msgbroker for sending analytics results to the cloud
@@ -54,12 +54,12 @@ We currently provide the following sample applications:
 * [deepstream-nvdsanalytics](apps/deepstream-nvdsanalytics) -- multistream pipeline with analytics plugin
 * [runtime_source_add_delete](apps/runtime_source_add_delete) -- add/delete source streams at runtime
 * [deepstream-imagedata-multistream-redaction](apps/deepstream-imagedata-multistream-redaction) -- multi-stream pipeline with face detection and redaction
-* [deepstream-rtsp-in-rtsp-out](apps/deepstream-rtsp-in-rtsp-out) -- multi-stream pipeline with RTSP input/output
+* <b>UPDATED</b> [deepstream-rtsp-in-rtsp-out](apps/deepstream-rtsp-in-rtsp-out) -- multi-stream pipeline with RTSP input/output -- now takes new command line argument "--rtsp-ts" for configuring the RTSP source to attach the timestamp rather than the streammux
 * [deepstream-preprocess-test](apps/deepstream-preprocess-test) -- multi-stream pipeline using nvdspreprocess plugin with custom ROIs
 * [deepstream-demux-multi-in-multi-out](apps/deepstream-demux-multi-in-multi-out) -- multi-stream pipeline using nvstreamdemux plugin to generated separate buffer outputs
 * [deepstream-imagedata-multistream-cupy](apps/deepstream-imagedata-multistream-cupy) -- access imagedata buffer from GPU in a multistream source as CuPy array - x86 only
-* <b>NEW</b> [deepstream-segmask](apps/deepstream-segmask) -- access and interpret segmentation mask information from NvOSD_MaskParams
-* <b>NEW</b> [deepstream-custom-binding-test](apps/deepstream-custom-binding-test) -- demonstrate usage of NvDsUserMeta for attaching custom data structure - see also the [Custom User Meta Guide](bindings/CUSTOMUSERMETAGUIDE.md)
+* [deepstream-segmask](apps/deepstream-segmask) -- access and interpret segmentation mask information from NvOSD_MaskParams
+* [deepstream-custom-binding-test](apps/deepstream-custom-binding-test) -- demonstrate usage of NvDsUserMeta for attaching custom data structure - see also the [Custom User Meta Guide](bindings/CUSTOMUSERMETAGUIDE.md)
 
 
 Detailed application information is provided in each application's subdirectory under [apps](apps).  

apps/README

@@ -20,7 +20,7 @@ DeepStream SDK Python Bindings
 ================================================================================
 Setup pre-requisites:
 - Ubuntu 20.04
-- NVIDIA DeepStream SDK 6.2
+- NVIDIA DeepStream SDK 6.3
 - Python 3.8
 - Gst-python
 
@@ -36,7 +36,7 @@ Package Contents
 Installing Pre-requisites:
 --------------------------------------------------------------------------------
 
-DeepStream SDK 6.2
+DeepStream SDK 6.3
 --------------------
 Download and install from https://developer.nvidia.com/deepstream-download
 
@@ -54,7 +54,7 @@ $ sudo apt install python3-gi python3-dev python3-gst-1.0 -y
 --------------------------------------------------------------------------------
 Running the samples
 --------------------------------------------------------------------------------
-The apps are configured to work from inside the DeepStream SDK 6.2 installation.
+The apps are configured to work from inside the DeepStream SDK 6.3 installation.
 
 Clone the deepstream_python_apps repo under <DeepStream ROOT>/sources:
 $ git clone https://github.com/NVIDIA-AI-IOT/deepstream_python_apps

apps/deepstream-custom-binding-test/README

@@ -16,7 +16,7 @@
 ################################################################################
 
 Prequisites:
-- DeepStreamSDK 6.2
+- DeepStreamSDK 6.3
 - Python 3.8
 - Gst-python
 

apps/deepstream-demux-multi-in-multi-out/README

@@ -16,7 +16,7 @@
 ################################################################################
 
 Prerequisites:
-- DeepStreamSDK 6.2
+- DeepStreamSDK 6.3
 - Python 3.8
 - Gst-python
 

apps/deepstream-imagedata-multistream-cupy/README

@@ -1,5 +1,5 @@
 ################################################################################
-# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -16,19 +16,19 @@
 ################################################################################
 
 Prerequisites:
-- DeepStreamSDK 6.2
+- DeepStreamSDK 6.3
 - Python 3.8
 - Gst-python
 - NumPy package
 - OpenCV package
-- CuPy for Cuda 11.2 or later
+- CuPy for Cuda 12.1 or later
 
 ** This application is currently only supported on x86.
 
 To install required packages:
 $ sudo apt update
 $ sudo apt install python3-numpy python3-opencv -y
-$ pip3 install cupy-cuda11x
+$ pip3 install cupy-cuda12x
 
 To run:
   $ python3 deepstream_imagedata-multistream_cupy.py -i <uri1> [uri2] ... [uriN]
@@ -92,4 +92,4 @@ broken down into the following steps:
  4. Construction of cupy.cuda.MemoryPointer from UnownedMemory
  5. Construction of cupy.ndarray from MemoryPointer and other buffer info retrieved from bindings call
 
-When performing operations on the image array, we use a CUDA null stream to prevent access of buffer memory by other CUDA operations.
+When performing operations on the image array, we use a CUDA null stream to prevent access of buffer memory by other CUDA operations.

apps/deepstream-imagedata-multistream-redaction/README

@@ -16,7 +16,7 @@
 ################################################################################
 
 Prerequisites:
-- DeepStreamSDK 6.2
+- DeepStreamSDK 6.3
 - Python 3.8
 - Gst-python
 - NumPy package

apps/deepstream-imagedata-multistream/README

@@ -16,7 +16,7 @@
 ################################################################################
 
 Prerequisites:
-- DeepStreamSDK 6.2
+- DeepStreamSDK 6.3
 - Python 3.8
 - Gst-python
 - NumPy package

apps/deepstream-nvdsanalytics/README

@@ -16,7 +16,7 @@
 ################################################################################
 
 Prerequisites:
-- DeepStreamSDK 6.2
+- DeepStreamSDK 6.3
 - Python 3.8
 - Gst-python