Update RELEASE_NOTES.md Release 2025.0.1.3 (#100)

Author: tbujewsk

libraries/dl-streamer/RELEASE_NOTES.md

@@ -1,4 +1,4 @@
-# Intel® Deep Learning Streamer Pipeline Framework Release 2025.0.1.2
+# Intel® Deep Learning Streamer Pipeline Framework Release 2025.0.1.3
 Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework is a streaming media analytics framework, based on GStreamer\* multimedia framework, for creating complex media analytics pipelines. It ensures pipeline interoperability and provides optimized media, and inference operations using Intel® Distribution of OpenVINO™ Toolkit Inference Engine backend, across Intel® architecture, CPU, discrete GPU, integrated GPU and NPU.
 
 This release includes Intel® DL Streamer Pipeline Framework elements to enable video and audio analytics capabilities, (e.g., object detection, classification, audio event detection), and other elements to build end-to-end optimized pipeline in GStreamer\* framework.
@@ -35,9 +35,10 @@ For installing Pipeline Framework with the prebuilt binaries or Docker\* or to b
 
 | **Title**      | **High-level description**      |
 |----------------|---------------------------------|
-| Geti Models 2.7 version | Support for Geti Classification/Detection Models in 2.7 version  |
-| GStreamer plugins | Support for gst-rswebrtc-plugins |
-| Documentation updates | Documentation updates - "queue" element  |
+| Installation process | Enhanced installation scripts for the 'installation on host' option |
+| Post installation steps | Added a selection option for the YOLO model and device to the hello_dlstreamer.sh script |
+| Download models | Improved download_public_models.sh script |
+| Documentation updates | Improved installation processes descriptions and tutorial refresh |
 
 ## Known Issues
 
@@ -51,6 +52,16 @@ For installing Pipeline Framework with the prebuilt binaries or Docker\* or to b
 | Error when using legacy YoloV5 models: Dynamic resize: Model width dimension shall be static | To avoid the issue, modify samples/download_public_models.sh by inserting the following snippet at lines 273 and 280:<br><br>python3 - <<EOF "${MODEL_NAME}"<br>import sys, os<br>from openvino.runtime import Core<br>from openvino.runtime import save_model<br>model_name = sys.argv[1]<br>core = Core()<br>os.rename(f"{model_name}_openvino_model", f"{model_name}_openvino_modelD")<br>model = core.read_model(f"{model_name}_openvino_modelD/{model_name}.xml")<br>model.reshape([-1, 3, 640, 640]) |
 
 
+# Intel® Deep Learning Streamer Pipeline Framework Release 2025.0.2
+
+## New in this Release
+
+| **Title**      | **High-level description**      |
+|----------------|---------------------------------|
+| Geti Models 2.7 version | Support for Geti Classification/Detection Models in 2.7 version  |
+| GStreamer plugins | Support for gst-rswebrtc-plugins |
+| Documentation updates | Documentation updates - "queue" element  |
+
 # Intel® Deep Learning Streamer Pipeline Framework Release 2025.0.1
 
 ## New in this Release