Update to 1.1.4 release

This release is compatible with DeepStream SDK 6.1.1

Ubuntu 20.04
Python 3.8
DeepStream SDK 6.1.1

Features:
- New app deepstream-demux-multi-in-multi-out added
- Updated deepstream_test_4.ipynb notebook
- Change binding gst_nvevent_new_stream_reset() to gst_element_send_nvevent_new_stream_reset()
- Deprecation: member "dims" of "NvDsInferLayerInfo" deprecated in favor of "inferDims"
- Deprecation: member "atttributeIndex" of "NvDsInferAttribute" deprecated in favor of "attributeIndex"
- Update to PeopleNet v2.6 for deepstream-test3 app

Author: nv-rpaliwal

HOWTO.md

@@ -16,7 +16,7 @@ This guide provides resources for DeepStream application development in Python.
 ## Prerequisites
 
 * Ubuntu 20.04
-* [DeepStream SDK 6.1](https://developer.nvidia.com/deepstream-download) or later
+* [DeepStream SDK 6.1.1](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 6.1 ROOT>/sources:
+Clone the deepstream_python_apps repo under <DeepStream 6.1.1 ROOT>/sources:
 git clone https://github.com/NVIDIA-AI-IOT/deepstream_python_apps
 
 This will create the following directory:  
-```<DeepStream 6.1 ROOT>/sources/deepstream_python_apps```
+```<DeepStream 6.1.1 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: 6.1
+SDK version supported: 6.1.1
 
 <b>The bindings sources along with build instructions are now available under [bindings](bindings)!  </b>
 
-<b>This release comes with Operating System upgrades (from Ubuntu 18.04 to Ubuntu 20.04) for DeepStreamSDK 6.1 support. This translates to upgrade in Python version to 3.8 and [gst-python](3rdparty/gst-python/) version has also been upgraded to 1.16.2 !</b>
+<b>This release comes with Operating System upgrades (from Ubuntu 18.04 to Ubuntu 20.04) for DeepStreamSDK 6.1.1 support. This translates to upgrade in Python version to 3.8 and [gst-python](3rdparty/gst-python/) version has also been upgraded to 1.16.2 !</b>
 
 Download the latest release package complete with bindings and sample applications from the [release section](../../releases).  
 
@@ -43,7 +43,7 @@ To run the sample applications or write your own, please consult the [HOW-TO Gui
 We currently provide the following sample applications:
 * [deepstream-test1](apps/deepstream-test1) -- 4-class object detection pipeline
 * [deepstream-test2](apps/deepstream-test2) -- 4-class object detection, tracking and attribute classification pipeline
-* <b>UPDATE</b> [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-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
 * [deepstream-imagedata-multistream](apps/deepstream-imagedata-multistream) -- multi-stream pipeline with access to image buffers
 * [deepstream-ssd-parser](apps/deepstream-ssd-parser) -- SSD model inference via Triton server with output parsing in Python
@@ -55,7 +55,8 @@ We currently provide the following sample applications:
 * [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>NEW</b> [deepstream-preprocess-test](apps/deepstream-preprocess-test) -- multi-stream pipeline using nvdspreprocess plugin with custom ROIs
+* [deepstream-preprocess-test](apps/deepstream-preprocess-test) -- multi-stream pipeline using nvdspreprocess plugin with custom ROIs
+* <b>NEW</b> [deepstream-demux-multi-in-multi-out](apps/deepstream-demux-multi-in-multi-out) -- multi-stream pipeline using nvstreamdemux plugin to generated separate buffer outputs
 
 
 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 6.1
+- NVIDIA DeepStream SDK 6.1.1
 - Python 3.8
 - Gst-python
 
@@ -52,7 +52,7 @@ Package Contents
 Installing Pre-requisites:
 --------------------------------------------------------------------------------
 
-DeepStream SDK 6.1
+DeepStream SDK 6.1.1
 --------------------
 Download and install from https://developer.nvidia.com/deepstream-download
 
@@ -70,7 +70,7 @@ $ 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 6.1 installation.
+The apps are configured to work from inside the DeepStream SDK 6.1.1 installation.
 
 Clone the deepstream_python_apps repo under <DeepStream ROOT>/sources:
 $ git clone https://github.com/NVIDIA-AI-IOT/deepstream_python_apps

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

@@ -0,0 +1,63 @@
+################################################################################
+# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+################################################################################
+
+Prerequisites:
+- DeepStreamSDK 6.1.1
+- Python 3.8
+- Gst-python
+
+To run:
+  $ python3 deepstream_demux_multi_in_multi_out.py -i <uri1> [uri2] ... [uriN]
+e.g.
+  $ python3 deepstream_demux_multi_in_multi_out.py -i file:///home/ubuntu/video1.mp4 file:///home/ubuntu/video2.mp4
+  $ python3 deepstream_demux_multi_in_multi_out.py -i rtsp://127.0.0.1/video1 rtsp://127.0.0.1/video2
+
+This document describes the sample deepstream_demux_multi_in_multi_out application.
+
+This sample builds on top of the deepstream-test3 sample to demonstrate how to:
+
+* Uses multiple sources in the pipeline.
+* The pipeline uses `nvstreamdemux` to split batches and output separate buffer/streams. 
+* `nvstreamdemux` helps when separate output is required for each input stream.
+
+Refer to the deepstream-test1 sample documentation for an example of simple
+single-stream inference, bounding-box overlay, and rendering.
+
+Nvstreamdemux reference - https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_plugin_gst-nvstreamdemux.html
+
+This sample accepts one or more H.264/H.265 video streams as input. It creates
+a source bin for each input and connects the bins to an instance of the
+"nvstreammux" element, which forms the batch of frames. The batch of
+frames is fed to "nvinfer" for batched inferencing. "nvstreamdemux" demuxes batched frames into individual buffers. 
+It creates a separate Gst Buffer for each frame in the batch. For each input separate branch is created with the following elements in series
+`nvstreamdemux -> queue -> nvvidconv -> nvosd -> nveglglessink`
+So for two inputs, 2 separate output windows are created, likewise for N input N outputs are created.
+
+The "width" and "height" properties must be set on the stream-muxer to set the
+output resolution. If the input frame resolution is different from
+stream-muxer's "width" and "height", the input frame will be scaled to muxer's
+output resolution.
+
+The stream-muxer waits for a user-defined timeout before forming the batch. The
+timeout is set using the "batched-push-timeout" property. If the complete batch
+is formed before the timeout is reached, the batch is pushed to the downstream
+element. If the timeout is reached before the complete batch can be formed
+(which can happen in case of rtsp sources), the batch is formed from the
+available input buffers and pushed. Ideally, the timeout of the stream-muxer
+should be set based on the framerate of the fastest source. It can also be set
+to -1 to make the stream-muxer wait infinitely.
+