Inference Engine Demos
================
The Inference Engine demo applications are console applications that demonstrate how you can use the Intel's Deep Learning Inference Engine in your applications.
The Deep Learning Inference Engine release package provides the following demo applications available in the demos
directory in the Inference Engine installation directory:
- [Crossroad Camera Demo](./crossroad_camera_demo/README.md) - Person Detection followed by the Person Attributes Recognition and Person Reidentification Retail, supports images/video and camera inputs. *NEW MODELS SHOWCASE, below*.
- [End to end video analytics end2end_video_analytics_ie Demo](./end2end_video_analytics/end2end_video_analytics_ie/README.md) - End-to-end demo application for image classification with inference engine.
- [End to end video analytics end2end_video_analytics_opencv Demo](./end2end_video_analytics/end2end_video_analytics_opencv/README.md) - End-to-end demo application for image classification with OpenCVDNN.
- [Human Pose Estimation Demo](./human_pose_estimation_demo/README.md) - Human pose estimation demo. *NEW MODELS SHOWCASE, below*.
- [Image Segmentation Demo](./segmentation_demo/README.md) - Inference of image segmentation networks like FCN8 (the demo supports only images as inputs).
- [Interactive Face Detection Demo](./interactive_face_detection_demo/README.md) - Face Detection coupled with Age/Gender, Head-Pose, Emotion, and Facial Landmarks detectors. Supports video and camera inputs. *NEW MODELS SHOWCASE, below*.
- [Mask R-CNN Demo for TensorFlow* Object Detection API models](./mask_rcnn_demo/README.md) - Inference of semantic segmentation networks created with TensorFlow\* Object Detection API.
- [Multi-Channel Face Detection Demo](./multichannel_face_detection/README.md) - Simultaneous Multi Camera Face Detection demo.
- [Object Detection Demo](./object_detection_demo/README.md) - Inference of object detection networks like Faster R-CNN (the demo supports only images as inputs).
- [Object Detection for SSD Demo app](./object_detection_demo_ssd_async/README.md) - 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 Demo app](./object_detection_demo_yolov3_async/README.md) - Demo application for YOLOV3-based Object Detection networks, new Async API performance showcase, and simple OpenCV interoperability (supports video and camera inputs).
- [Pedestrian Tracker Demo](./pedestrian_tracker_demo/README.md) - Demo application for pedestrian tracking scenario.
- [Security Barrier Camera Demo](./security_barrier_camera_demo/README.md) - Vehicle Detection followed by the Vehicle Attributes and License-Plate Recognition, supports images/video and camera inputs. *NEW MODELS SHOWCASE, below*.
- [Smart Classroom Demo](./smart_classroom_demo/README.md) - Face recognition and action detection demo for classroom environment. *NEW MODELS SHOWCASE, below*.
- [Super Resolution Demo](./super_resolution_demo/README.md) - Super Resolution demo (the demo supports only images as inputs). It enhances the resolution of the input image.
- [Text Detection Demo](./text_detection_demo/README.md) - Text Detection demo (the demo supports only images as inputs). It detects multi-oriented scene text on an input image and puts a bounding box around detected area.
*Few demos referenced above have simplified equivalents in Python (`python_demos` subfolder)*.
## Demos that Support Pre-Trained Models Shipped with the Product
(!) Important Note: Inference Engine MYRIAD and FPGA plugins are available in [proprietary](https://software.intel.com/en-us/openvino-toolkit) distribution only.
The product includes several pre-trained [models] (open_model_zoo/intel_models/index.html).
The table below shows the correlation between models and demos/plugins (_the plugins names are exactly as they are passed to the demos with `-d` option_).
| Model | Demos supported on the model | CPU | GPU |HETERO:FPGA,CPU | MYRIAD |
|------------------------------------------------- |--------------------------------------------------------------------------------------------------- |------------- |------------- |--------------- |----------- |
| face-detection-adas-0001 | [Interactive Face Detection Demo](./interactive_face_detection_demo/README.md) | Supported | Supported | Supported | Supported |
| age-gender-recognition-retail-0013 | [Interactive Face Detection Demo](./interactive_face_detection_demo/README.md) | Supported | Supported | Supported | Supported |
| head-pose-estimation-adas-0001 | [Interactive Face Detection Demo](./interactive_face_detection_demo/README.md) | Supported | Supported | Supported | Supported |
| emotions-recognition-retail-0003 | [Interactive Face Detection Demo](./interactive_face_detection_demo/README.md) | Supported | Supported | Supported | Supported |
| facial-landmarks-35-adas-0001 | [Interactive Face Detection Demo](./interactive_face_detection_demo/README.md) | Supported | Supported | Supported | |
| vehicle-license-plate-detection-barrier-0106 | [Security Barrier Camera Demo](./security_barrier_camera_demo/README.md) | Supported | Supported | Supported | Supported |
| vehicle-attributes-recognition-barrier-0039 | [Security Barrier Camera Demo](./security_barrier_camera_demo/README.md) | Supported | Supported | Supported | Supported |
| license-plate-recognition-barrier-0001 | [Security Barrier Camera Demo](./security_barrier_camera_demo/README.md) | Supported | Supported | Supported | Supported |
| person-detection-retail-0001 | [Object Detection Demo](./object_detection_demo/README.md) | Supported | Supported | Supported | |
| person-vehicle-bike-detection-crossroad-0078 | [Crossroad Camera Demo](./crossroad_camera_demo/README.md) | Supported | Supported | Supported | Supported |
| person-attributes-recognition-crossroad-0200 | [Crossroad Camera Demo](./crossroad_camera_demo/README.md) | Supported | Supported | | |
| person-reidentification-retail-0031 | [Crossroad Camera Demo](./crossroad_camera_demo/README.md)<br>[Pedestrian Tracker Demo](./pedestrian_tracker_demo/README.md) | Supported | Supported | Supported | Supported |
| person-reidentification-retail-0076 | [Crossroad Camera Demo](./crossroad_camera_demo/README.md) | Supported | Supported | Supported | Supported |
| person-reidentification-retail-0079 | [Crossroad Camera Demo](./crossroad_camera_demo/README.md)
openvino Demo
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openvino Demo （456个子文件） 
flagfile.1 9B flagfile.2 25B flagfile.3 21B create_msvc2017_solution.bat 764B create_msvc2015_solution.bat 764B SampLeNet.bin 131B BUILD 431B gflags.bzl 3KB SampLeNet.caffemodel 131B gflags.cc 75KB gflags_unittest.cc 52KB gflags_completions.cc 27KB gflags_reporting.cc 17KB windows_port.cc 3KB gflags_strip_flags_test.cc 2KB gflags_nc.cc 2KB main.cc 579B gflags_declare_test.cc 328B gflags_declare_flags.cc 234B setup.cfg 151B utils.cmake 8KB execute_test.cmake 2KB gflags_strip_flags_test.cmake 270B .coveragerc 747B main.cpp 50KB main.cpp 37KB detectors.cpp 33KB decoder.cpp 33KB tracker.cpp 32KB main.cpp 22KB main.cpp 22KB main.cpp 22KB input.cpp 19KB main.cpp 19KB main.cpp 19KB tracker.cpp 19KB main.cpp 17KB main.cpp 17KB main.cpp 15KB main.cpp 15KB peak.cpp 14KB main.cpp 13KB main.cpp 13KB action_detector.cpp 12KB main.cpp 12KB graph.cpp 11KB human_pose_estimator.cpp 10KB main.cpp 8KB camera.cpp 7KB detector.cpp 7KB detector.cpp 6KB cnn.cpp 5KB kuhn_munkres.cpp 5KB cnn.cpp 5KB reid_gallery.cpp 4KB logger.cpp 4KB main.cpp 4KB image_reader.cpp 4KB utils.cpp 4KB controller.cpp 3KB render_human_pose.cpp 3KB align_transform.cpp 3KB MnistUbyte.cpp 2KB distance.cpp 2KB output.cpp 2KB bmp.cpp 2KB utils.cpp 2KB opencv_wraper.cpp 1KB image_grabber.cpp 988B format_reader.cpp 869B core.cpp 569B threading.cpp 498B human_pose.cpp 356B perf_timer.cpp 330B intel_styles.css 10KB .editorconfig 327B gflags_unittest_flagfile 28B .gitattributes 2KB .gitattributes 113B .gitignore 5KB .gitignore 398B .gitmodules 93B
sample_dataset.tar.gz 133B detectionoutput.h 22KB mutex.h 14KB util.h 14KB main.h 5KB windows_port.h 5KB object_detection_demo.h 5KB mask_rcnn_demo.h 4KB super_resolution_demo.h 4KB main.h 4KB segmentation_demo.h 4KB w_dirent.h 2KB bmp.h 2KB format_reader.h 2KB register.h 1KB MnistUbyte.h 1KB format_reader_ptr.h 1KB opencv_wraper.h 1006B共 456 条
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