Replace the public model file (#329)

----------------------------------------
Replace the public model mobilenet-ssd, which is not available with ssdlite_mobilenet_v2
Replace the sample application model path accordingly

Signed-off-by: Sathiyamoorthi, Jayabalaji <[email protected]>

Author: jb-balaji

README.md

@@ -156,7 +156,7 @@ Currently, the corresponding relation of supported inference features, models us
 |Emotion Recognition| Emotion recognition based on detected face image.|[pipeline_image.yaml](./sample/param/pipeline_image.yaml)<br>[pipeline_image_video.yaml](./sample/param/pipeline_image_video.yaml)<br>[pipeline_people.yaml](./sample/param/pipeline_people.yaml)<br>[pipeline_people_ip.yaml](./sample/param/pipeline_people_ip.yaml)|[emotions-recognition-retail-0003](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/intel/emotions-recognition-retail-0003)|
 |Age & Gender Recognition| Age and gender recognition based on detected face image.|[pipeline_image.yaml](./sample/param/pipeline_image.yaml)<br>[pipeline_image_video.yaml](./sample/param/pipeline_image_video.yaml)<br>[pipeline_people.yaml](./sample/param/pipeline_people.yaml)<br>[pipeline_people_ip.yaml](./sample/param/pipeline_people_ip.yaml)|[age-gender-recognition-retail-0013](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/intel/age-gender-recognition-retail-0013)|
 |Head Pose Estimation| Head pose estimation based on detected face image.|[pipeline_image.yaml](./sample/param/pipeline_image.yaml)<br>[pipeline_image_video.yaml](./sample/param/pipeline_image_video.yaml)<br>[pipeline_people.yaml](./sample/param/pipeline_people.yaml)<br>[pipeline_people_ip.yaml](./sample/param/pipeline_people_ip.yaml)|[head-pose-estimation-adas-0001](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/intel/head-pose-estimation-adas-0001)|
-|Object Detection| Object detection based on SSD-based trained models.|[pipeline_object.yaml](./sample/param/pipeline_object.yaml)<br>[pipeline_object_topic.yaml](./sample/param/pipeline_object_topic.yaml)|[mobilenet-ssd](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/public/mobilenet-ssd)<br>[yolov5](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-yolov5-quantization-migration)<br>[yolov7](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/226-yolov7-optimization)<br>[yolov8](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/230-yolov8-optimization)|
+|Object Detection| Object detection based on SSD-based trained models.|[pipeline_object.yaml](./sample/param/pipeline_object.yaml)<br>[pipeline_object_topic.yaml](./sample/param/pipeline_object_topic.yaml)|[mobilenet-ssd](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/public/mobilenet-ssd)<br>[yolov5](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/111-yolov5-quantization-migration)<br>[yolov7](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/226-yolov7-optimization)<br>[yolov8](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/230-yolov8-optimization)<br>[ssdlite_mobilenet_v2](https://github.com/openvinotoolkit/open_model_zoo/tree/2024.6.0/models/public/ssdlite_mobilenet_v2)|
 |Vehicle and License Detection| Vehicle and license detection based on Intel models.|[pipeline_vehicle_detection.yaml](./sample/param/pipeline_vehicle_detection.yaml)|[vehicle-license-plate-detection-barrier-0106](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/intel/vehicle-license-plate-detection-barrier-0106)<br>[vehicle-attributes-recognition-barrier-0039](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/intel/vehicle-attributes-recognition-barrier-0039)<br>[license-plate-recognition-barrier-0001](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/intel/license-plate-recognition-barrier-0001)|
 |Object Segmentation - Semantic| semantic segmentation, assign a class label to each pixel in an image. |[pipeline_segmentation.yaml](./sample/param/pipeline_segmentation.yaml)<br>[pipeline_segmentation_image.yaml](./sample/param/pipeline_segmentation_image.yaml)<br>[pipeline_video.yaml](./sample/param/pipeline_video.yaml)|[semantic-segmentation-adas-0001](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/intel/semantic-segmentation-adas-0001)<br>[deeplabv3](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/public/deeplabv3)|
 | Object Segmentation - Instance | Instance Segmentation, combination of semantic segmentation & object detection. | [pipeline_segmentation_instance.launch.yaml](./sample/param/pipeline_segmentation_instance.yaml) | [yolov8-seg](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/230-yolov8-optimization)<br>[mask_rcnn_inception_v2_coco_2018_01_28](https://github.com/openvinotoolkit/open_model_zoo/tree/releases/2022/3/models/public/mask_rcnn_inception_resnet_v2_atrous_coco)|

data/model_list/convert_model.lst

@@ -1,5 +1,4 @@
 # This file can be used with the --list option of the model converter.
-mobilenet-ssd
+ssdlite_mobilenet_v2
 deeplabv3
 mask_rcnn_inception_resnet_v2_atrous_coco
-

data/model_list/download_model.lst

@@ -12,7 +12,6 @@ vehicle-license-plate-detection-barrier-0106
 head-pose-estimation-adas-0001
 human-pose-estimation-0001
 semantic-segmentation-adas-0001
-mobilenet-ssd
+ssdlite_mobilenet_v2
 deeplabv3
 mask_rcnn_inception_resnet_v2_atrous_coco
-

sample/param/image_object_server.yaml

@@ -4,7 +4,7 @@ Pipelines:
   input_path: to/be/set/image_path
   infers:
     - name: ObjectDetection
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: CPU
       label: to/be/set/xxx.labels
       batch: 1

sample/param/multi_pipleine_service.yaml

@@ -3,7 +3,7 @@ Pipelines:
   inputs: [StandardCamera]
   infers:
     - name: ObjectDetection
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: CPU
       label: to/be/set/xxx.labels
       batch: 1
@@ -24,7 +24,7 @@ Pipelines:
   inputs: [RealSenseCamera]
   infers:
     - name: ObjectDetection
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: CPU
       label: to/be/set/xxx.labels
       batch: 1

sample/param/pipeline_composite_object_topic.yaml

@@ -3,7 +3,7 @@ Pipelines:
   inputs: [RealSenseCameraTopic]
   infers:
     - name: ObjectDetection
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: CPU #MYRIAD
       label: to/be/set/xxx.labels
       batch: 1

sample/param/pipeline_object.yaml

@@ -3,7 +3,7 @@ Pipelines:
   inputs: [StandardCamera]
   infers:
     - name: ObjectDetection
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: CPU
       label: to/be/set/xxx.labels
       batch: 1

sample/param/pipeline_object_topic.yaml

@@ -3,7 +3,7 @@ Pipelines:
   inputs: [StandardCamera] #[RealSenseCameraTopic]
   infers:
     - name: ObjectDetection
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: CPU #MYRIAD
       label: to/be/set/xxx.labels
       batch: 1

sample/param/testParam/param/image_object_service_test.yaml

@@ -4,7 +4,7 @@ Pipelines:
   input_path: to/be/set/image_path
   infers:
     - name: ObjectDetection
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: CPU
       label: to/be/set/xxx.labels
       batch: 16

sample/param/testParam/param/pipeline_anormal.yaml

@@ -3,7 +3,7 @@ Pipelines:
   inputs: [StandardCamera, Image, video]
   infers:
     - name: Objectdetection
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: GPU
       label: to/be/set/xxx.labels
       batch: 16
@@ -21,7 +21,7 @@ Pipelines:
   inputs: [StandardCamera, Image, video]
   infers:
     - name:
-      model: /opt/openvino_toolkit/models/convert/public/mobilenet-ssd/FP16/mobilenet-ssd.xml
+      model: /opt/openvino_toolkit/models/convert/public/ssdlite_mobilenet_v2/FP16/ssdlite_mobilenet_v2.xml
       engine: GPU
       label: to/be/set/xxx.labels
       batch: 16