Demos {#ovms_docs_demos}

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ovms_demo_age_gender_guide ovms_demo_horizontal_text_detection ovms_demo_optical_character_recognition ovms_demo_face_detection ovms_demo_face_blur_pipeline ovms_demo_single_face_analysis_pipeline ovms_demo_multi_faces_analysis_pipeline ovms_docs_demo_ensemble ovms_docs_image_classification ovms_demo_using_onnx_model ovms_demo_person_vehicle_bike_detection ovms_demo_vehicle_analysis_pipeline ovms_demo_real_time_stream_analysis ovms_demo_bert ovms_demo_speech_recognition ovms_demo_benchmark_client

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OpenVINO Model Server demos have been created to showcase the usage of the model server as well as demonstrate it’s capabilities. Check out the list below to see complete step-by-step examples of using OpenVINO Model Server with real world use cases:

Python

Demo	Description
Age gender recognition	Run prediction on a JPEG image using age gender recognition model via gRPC API.
Horizontal Text Detection in Real-Time	Run prediction on camera stream using a horizontal text detection model via gRPC API. This demo uses pipeline with horizontal_ocr custom node and demultiplexer.
Optical Character Recognition Pipeline	Run prediction on a JPEG image using a pipeline of text recognition and text detection models with a custom node for intermediate results processing via gRPC API. This demo uses pipeline with east_ocr custom node and demultiplexer.
Face Detection	Run prediction on a JPEG image using face detection model via gRPC API.
Single Face Analysis Pipeline	Run prediction on a JPEG image using a simple pipeline of age-gender recognition and emotion recogition models via gRPC API to analyze image with a single face. This demo uses pipeline
Multi Faces Analysis Pipeline	Run prediction on a JPEG image using a pipeline of age-gender recognition and emotion recogition models via gRPC API to extract multiple faces from the image and analyze all of them. This demo uses pipeline with model_zoo_intel_object_detection custom node and demultiplexer
Model Ensemble Pipeline	Combine multiple image classification models into one pipeline and aggregate results to improve classification accuracy.
Image Classification	Run prediction on a JPEG image using image classification model via gRPC API.
Using ONNX Model	Run prediction on a JPEG image using image classification ONNX model via gRPC API in two preprocessing variants. This demo uses pipeline with image_transformation custom node.
Person, Vehicle, Bike Detection	Run prediction on a video file or camera stream using person, vehicle, bike detection model via gRPC API.
Vehicle Analysis Pipeline	Detect vehicles and recognize their attributes using a pipeline of vehicle detection and vehicle attributes recognition models with a custom node for intermediate results processing via gRPC API. This demo uses pipeline with model_zoo_intel_object_detection custom node.
Real Time Stream Analysis	Analyze RTSP video stream in real time with generic application template for custom pre and post processing routines as well as simple results visualizer for displaying predictions in the browser.
Natural Language Processing with BERT	Provide a knowledge source and a query and use BERT model for question answering use case via gRPC API. This demo uses dynamic shape feature.
Speech Recognition on Kaldi Model	Run inference on a speech sample and use Kaldi model to perform speech recognition via gRPC API. This demo uses stateful model.
Benchmark App	Generate traffic and measure performance of the model served in OpenVINO Model Server.
Face Blur Pipeline	Detect faces and blur image using a pipeline of object detection models with a custom node for intermediate results processing via gRPC API. This demo uses pipeline with face_blur custom node.

C++

Demo	Description
Image Classification	Run prediction on a JPEG image using image classification model via gRPC API.
Benchmark App	Generate traffic and measure performance of the model served in OpenVINO Model Server.

Go

Demo	Description
Image Classification	Run prediction on a JPEG image using image classification model via gRPC API.