Update the docs for deepstream_tao_apps

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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5

Thanks for your feedback. This is indeed a documentation issue
For DS-7.1，how to run deepstream-test3 python app with peoplenet and triton

Apply the following patch for config_triton_infer_primary_peoplenet.

diff --git a/apps/deepstream-test3/config_triton_infer_primary_peoplenet.txt b/apps/deepstream-test3/config_triton_infer_primary_peoplenet.txt
index 9645398..b9706d4 100644
--- a/apps/deepstream-test3/config_triton_infer_primary_peoplenet.txt
+++ b/apps/deepstream-test3/config_triton_infer_primary_peoplenet.txt
@@ -28,10 +28,10 @@ infer_config {
       {name: "output_cov/Sigmoid:0"}
     ]
     triton {
-      model_name: "peoplenet"
+      model_name: "peopleNet"
       version: -1
       model_repo {
-        root: "/opt/nvidia/deepstream/deepstream/samples/triton_model_repo"
+        root: "/opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/triton"
         strict_model_config: true
       }
     }
@@ -51,7 +51,7 @@ infer_config {
   }
 
   postprocess {
-    labelfile_path: "/opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/labels_peoplenet.txt"
+    labelfile_path: "/opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/triton/peopleNet/labels.txt"
     detection {
       num_detected_classes: 4
       per_class_params {

git clone https://github.com/NVIDIA-AI-IOT/deepstream_tao_apps.git
cd deepstream_tao_apps/deepstream_app_tao_configs
cp -a * /opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/
cd /opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/
./prepare_triton_models.sh 

cd /opt/nvidia/deepstream/deepstream/sources/deepstream_python_apps/apps/deepstream-test3

python3 deepstream_test_3.py --no-display -i file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.h264 -g nvinferserver -c config_triton_infer_primary_peoplenet.txt
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