Minor version string and typo fixes.

Author: nv-zhliu

README.md

@@ -51,8 +51,8 @@ We currently provide the following sample applications:
 * [deepstream-segmentation](apps/deepstream-segmentation) -- segmentation and visualization pipeline with segmentation mask returned in NumPy array
 * [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 (<b>NEW</b>)
-* [deepstream-rtsp-in-rtsp-out](apps/deepstream-rtsp-in-rtsp-out) -- multi-stream pipeline with RTSP input/output (<b>NEW</b>)
+* [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
 
 
 Detailed application information is provided in each application's subdirectory under [apps](apps).  

apps/deepstream-imagedata-multistream-redaction/README

@@ -42,6 +42,7 @@ Download Peoplenet model:
   $ cd /opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models
   $ mkdir -p ../../models/tao_pretrained_models/peoplenet && wget https://api.ngc.nvidia.com/v2/models/nvidia/tao/peoplenet/versions/pruned_v2.1/files/resnet34_peoplenet_pruned.etlt \
     -O ../../models/tao_pretrained_models/peoplenet/resnet34_peoplenet_pruned.etlt
+  $ wget https://api.ngc.nvidia.com/v2/models/nvidia/tao/peoplenet/versions/pruned_v2.1/files/labels.txt -O ../../../configs/tao_pretrained_models/labels_peoplenet.txt
 
 To run:
   $ python3 deepstream_imagedata-multistream_redaction.py -i <uri1> [uri2] ... [uriN] -c {H264,H265} -b BITRATE

bindings/CMakeLists.txt

@@ -50,7 +50,7 @@ set(CMAKE_SHARED_LINKER_FLAGS "-Wl,--no-undefined")
 
 # Setting python build versions
 set(PYTHON_VERSION ${PYTHON_MAJOR_VERSION}.${PYTHON_MINOR_VERSION})
-set(PIP_WHEEL pyds-1.1.0-py3-none-${PIP_PLATFORM}.whl)
+set(PIP_WHEEL pyds-1.1.1-py3-none-${PIP_PLATFORM}.whl)
 
 # Describing pyds build
 project(pyds DESCRIPTION "Python bindings for Deepstream")

bindings/README.md

@@ -115,7 +115,7 @@ sudo apt-get install qemu binfmt-support qemu-user-static
 docker run --rm --privileged dockerhub.nvidia.com/multiarch/qemu-user-static --reset -p yes
 
 # Verify qemu installation
-docker run --rm -t docker pull nvcr.io/nvidia/deepstream:6.0.1-samples uname -m
+docker run --rm -t  nvcr.io/nvidia/deepstream:6.0.1-samples uname -m
 #aarch64
 ```
 
@@ -186,8 +186,8 @@ Build output is generated in the created export_pyds directory (deepstream_pytho
 
 ### 4.1 Installing the pip wheel
 ```
-apt install libgirepository1.0-dev
-pip3 install ./pyds-1.1.0-py3-none*.whl
+apt install libgirepository1.0-dev libcairo2-dev
+pip3 install ./pyds-1.1.1-py3-none*.whl
 ```
 
 #### 4.1.1 pip wheel troubleshooting

bindings/packaging/setup.py

@@ -17,7 +17,7 @@
 
 setuptools.setup(
     name="pyds",
-    version="1.1.0",
+    version="1.1.1",
     author="NVIDIA",
     description="Install precompiled DeepStream Python bindings extension",
     url="nvidia.com",

bindings/qemu_docker/ubuntu-cross-aarch64.Dockerfile

@@ -13,7 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-FROM nvcr.io/nvidia/deepstream:6.0.1-samples
+FROM nvcr.io/nvidia/deepstream/deepstream-l4t:6.0.1-samples
 LABEL maintainer="NVIDIA CORPORATION"
 
 # Set timezone.

bindings/src/pyds.cpp

@@ -34,7 +34,7 @@
 
 #include <ndarrayobject.h>*/
 
-#define PYDS_VERSION "1.1.0"
+#define PYDS_VERSION "1.1.1"
 
 using namespace std;
 namespace py = pybind11;