デモ名称
|
場所
|
内容
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Classification C++ Demo |
./classification_demo/
|
Shows an example of using neural networks for image classification.
|
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.
|
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.
|
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-Channel C++ Demos
|
./multi_channel/
|
Several demo applications for multi-channel scenarios.
|
Object Detection for Faster R-CNN C++ Demo
|
./object_detection_demo_faster_rcnn/
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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/
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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.
|
Image Segmentation C++ Demo
|
./segmentation_demo/
|
Inference of image segmentation networks like FCN8 (the demo supports only images as inputs).
|
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.
|
Action Recognition Python* Demo
|
./python_demos/action_recognition/
|
Demo application for Action Recognition algorithm, which classifies actions that are being performed on input video.
|
BERT Question Answering Python* Demo |
./python_demos/bert_question_answering_demo/
|
|
BERT Question Answering Embedding Python* Demo
|
./python_demos/bert_question_answering_embedding_demo/
|
The demo demonstrates how to run BERT based models for question answering task.
|
Colorization Python* Demo
|
./python_demos/colorization_demo/
|
Colorization demo colorizes input frames.
|
Formula Recognition Python* Demo
|
./python_demos/formula_recognition_demo/
|
The demo demonstrates how to run Im2latex formula recognition models and recognize latex formulas.
|
Handwritten Japanese Recognition Python* Demo |
./python_demos/handwritten_japanese_recognition_demo/
|
The demo demonstrates how to run Handwritten Japanese Recognition models.
|
3D Human Pose Estimation Python* Demo
|
./python_demos/human_pose_estimation_3d_demo/
|
3D human pose estimation demo.
|
Image Inpainting Python Demo |
./python_demos/image_inpainting_demo/
|
Demo application for GMCNN inpainting network.
|
Image Retrieval Python* Demo
|
./python_demos/image_retrieval_demo/
|
The demo demonstrates how to run Image Retrieval models using OpenVINO™.
|
Instance Segmentation Python* Demo |
./python_demos/instance_segmentation_demo/
|
Inference of instance segmentation networks trained in `Detectron` or `maskrcnn-benchmark`.
|
Machine Translation Python* Demo
|
./python_demos/machine_translation_demo/
|
The demo demonstrates how to run non-autoregressive machine translation models.
|
Monodepth Python* Demo |
./python_demos/monodepth_demo/
|
The demo demonstrates how to run monocular depth estimation models.
|
Multi-Camera Multi-Target Tracking Python* Demo
|
./python_demos/multi_camera_multi_target_tracking/
|
Demo application for multiple targets (persons or vehicles) tracking on multiple cameras.
|
Object Detection for CenterNet Python* Demo
|
./python_demos/object_detection_demo_centernet/
|
Demo application for CenterNet object detection network.
|
Object Detection for RetinaFace Python\* Demo
|
./python_demos/object_detection_demo_retinaface/
|
Demo application for RetinaFace face detection model.
|
Single Human Pose Estimation Python* Demo |
./python_demos/single_human_pose_estimation_demo/
|
2D human pose estimation demo.
|
Sound Classification Python* Demo
|
./python_demos/sound_classification_demo/
|
Demo application for sound classification algorithm.
|
Speech Recognition Python* Demo |
./python_demos/speech_recognition_demo/
|
Speech recognition demo: takes audio file with an English phrase on input, and converts it into text.
|
Text Spotting Python* Demo
|
./python_demos/text_spotting_demo/
|
The demo demonstrates how to run Text Spotting models.
|