Open Model Zoo | OpenVINO

Open Model ZooはOpenVINOを知るためのデモアプリケーションです

通常、インストールされているのは、
/opt/intel/openvino/deployment_tools/open_model_zoo/demos
で、複数のアプリケーションが格納されています

デモ名称	場所	内容
3D Human Pose Estimation Python* Demo	python_demos/human_pose_estimation_3d_demo	3D human pose estimation demo.
Action Recognition Python* Demo	python_demos/action_recognition	Demo application for Action Recognition algorithm, which classifies actions that are being performed on input video.
Crossroad Camera C++ Demo	crossroad_camera_demo	Person Detection followed by the Person Attributes Recognition and Person Reidentification Retail, supports images/video and camera inputs.
Gaze Estimation C++ Demo	gaze_estimation_demo	Face detection followed by gaze estimation, head pose estimation and facial landmarks regression.
Human Pose Estimation C++ Demo	human_pose_estimation_demo	Human pose estimation demo.
Image Retrieval Python* Demo	python_demos/image_retrieval_demo	The demo demonstrates how to run Image Retrieval models using OpenVINO.
Image Segmentation C++ Demo	segmentation_demo	Inference of image segmentation networks like FCN8 (the demo supports only images as inputs)
Image Segmentation Python Demo	python_demos/segmentation_demo	Inference of image segmentation networks like FCN8 (the demo supports only images as inputs)
Instance Segmentation Python* Demo	python_demos/instance_segmentation_demo	Inference of instance segmentation networks trained in `Detectron` or `maskrcnn-benchmark`.
Interactive Face Detection C++ Demo	interactive_face_detection_demo	Face Detection coupled with Age/Gender, Head-Pose, Emotion, and Facial Landmarks detectors. Supports video and camera inputs.
Interactive Face Recognition Python* Demo	python_demos/face_recognition_demo	Face Detection coupled with Head-Pose, Facial Landmarks and Face Recognition detectors. Supports video and camera inputs.
Mask R-CNN C++ Demo for TensorFlow* Object Detection API	mask_rcnn_demo	Inference of instance segmentation networks created with TensorFlow\* Object Detection API.
Multi-Camera Multi-Person Tracking Python* Demo	python_demos/multi_camera_multi_person_tracking	Demo application for multiple persons tracking on multiple cameras.
Multi-Channel C++ Demos	multi_channel	Several demo applications for multi-channel scenarios.
Object Detection for CenterNet Python* Demo	object_detection_demo_centernet	Demo application for CenterNet object detection network.
Object Detection for Faster R-CNN C++ Demo	object_detection_demo_faster_rcnn	Inference of object detection networks like Faster R-CNN (the demo supports only images as inputs).
Object Detection for SSD C++ Demo	object_detection_demo_ssd_async	Demo application for SSD-based Object Detection networks, new Async API performance showcase, and simple OpenCV interoperability (supports video and camera inputs).
Object Detection for YOLO V3 C++ Demo	object_detection_demo_yolov3_async	Demo application for YOLOV3-based Object Detection networks, new Async API performance showcase, and simple OpenCV interoperability (supports video and camera inputs).
Pedestrian Tracker C++ Demo	pedestrian_tracker_demo	Demo application for pedestrian tracking scenario.
Security Barrier Camera C++ Demo	security_barrier_camera_demo	Vehicle Detection followed by the Vehicle Attributes and License-Plate Recognition, supports images/video and camera inputs.
Single Human Pose Estimation Python* Demo	python_demos/single_human_pose_estimation_demo	2D human pose estimation demo.
Smart Classroom C++ Demo	smart_classroom_demo	Face recognition and action detection demo for classroom environment.
Super Resolution C++ Demo	super_resolution_demo	Super Resolution demo (the demo supports only images as inputs). It enhances the resolution of the input image.
Text Detection C++ Demo	text_detection_demo	Text Detection demo. It detects and recognizes multi-oriented scene text on an input image and puts a bounding box around detected area.
Text Spotting Python* Demo	python_demos/text_spotting_demo	The demo demonstrates how to run Text Spotting models.

C++サンプルのビルド

/opt/intel/openvino/deployment_tools/open_model_zoo/demos
ディレクトリにあるbuild_demos.shでビルドできます
このコマンドを実行すると、
ホームディレクトリ/omz_demos_build が作成され、その中の、
omz_demos_build/intel64/Release
に実行ファイルがビルドされます