Difference between revisions of "AIMLinux/AddOn/Edge AI"
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{{DISPLAYTITLE:AIM-Linux EdgeAI}} | {{DISPLAYTITLE:AIM-Linux EdgeAI}} | ||
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= Applications = | = Applications = | ||
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==== <span style="color:#0070c0">Supported Platforms</span> ==== | ==== <span style="color:#0070c0">Supported Platforms</span> ==== | ||
| − | *nVidia TX2: ''EPC-R7000'' | + | *nVidia TX2: ''EPC-R7000'' |
==== <span style="color:#0070c0">Installation</span> ==== | ==== <span style="color:#0070c0">Installation</span> ==== | ||
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The two camera products below are verified, but it's OK to use other products which support '''''1920x1080 '''''or '''''1280x720''''' resolution. | The two camera products below are verified, but it's OK to use other products which support '''''1920x1080 '''''or '''''1280x720''''' resolution. | ||
| − | *Microsoft LifeCam HD-3000 | + | *Microsoft LifeCam HD-3000 |
| − | *Logitech BRIO V-U0040 | + | *Logitech BRIO V-U0040 |
'''[IP Camera]''' | '''[IP Camera]''' | ||
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The IP camera below is verified. We will take it as an example to set up. | The IP camera below is verified. We will take it as an example to set up. | ||
| − | *Vivotek_IB9360H | + | *Vivotek_IB9360H |
To configure IP camera for FaceView, we have to route RTSP streaming to video device. | To configure IP camera for FaceView, we have to route RTSP streaming to video device. | ||
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$ sudo cp -a * /usr/local/ | $ sudo cp -a * /usr/local/ | ||
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== <span style="color:#0070c0">Traffic Analysis</span> == | == <span style="color:#0070c0">Traffic Analysis</span> == | ||
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==== <span style="color:#0070c0">Supported Platforms</span> ==== | ==== <span style="color:#0070c0">Supported Platforms</span> ==== | ||
| − | *nVidia TX2: ''EPC-R7000'' | + | *nVidia TX2: ''EPC-R7000'' |
==== <span style="color:#0070c0">Run Application</span> ==== | ==== <span style="color:#0070c0">Run Application</span> ==== | ||
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You can connect the host PC with EPC-R7000 with microUSB cable (RNDIS) or Ethernet. Then, open '''browser''' with specific URL to access IVS service. | You can connect the host PC with EPC-R7000 with microUSB cable (RNDIS) or Ethernet. Then, open '''browser''' with specific URL to access IVS service. | ||
| − | *RNDIS: 192.168.55.1:5000/admin | + | *RNDIS: 192.168.55.1:5000/admin |
| − | *Ethernet: | + | *Ethernet: <your device IP address>:5000/admin |
After login with correct account/password, you can configure the monitor regions as your requirements. | After login with correct account/password, you can configure the monitor regions as your requirements. | ||
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[[File:Ivs-people.jpg|800px|Ivs-people.jpg]] | [[File:Ivs-people.jpg|800px|Ivs-people.jpg]] | ||
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= Inference Engines = | = Inference Engines = | ||
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=== <span style="color:#0070c0">NXP i.MX series</span> === | === <span style="color:#0070c0">NXP i.MX series</span> === | ||
| − | + | [http://ess-wiki.advantech.com.tw/view/NXP_eIQ http://ess-wiki.advantech.com.tw/view/NXP_eIQ] | |
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Latest revision as of 04:11, 28 September 2023
Contents
Applications
Face Recognition
FaceView
Advantech FaceView application powered by CyberLink's FaceMe®, an industry-leading facial recognition engine, Advantech’s FaceView application provides precise and scalable real-time facial recognition for various AIoT applications in the retail, hospitality, and public safety fields.
Supported Platforms
- nVidia TX2: EPC-R7000
Installation
0. Before we start for FaceView, please make sure SDK components are installed well on your TX2 device.
1. Get the program file by contact with Advantech, e.g. FaceView_1.0.2.0522_aarch64.run
2. Put the self-extractable file into your device and execute it. Note: Make sure the network is connected!
$ chmod +x FaceView_1.0.2.0522_aarch64.run $ ./FaceView_1.0.2.0522_aarch64.run Verifying archive integrity... 100% All good. Uncompressing FaceView 100% installing FaceView application Press the ENTER key to continue. ************************************************************************ Installing Package... ************************************************************************ ... Preparing to unpack FaceView_1.0.2.0522_aarch64.deb ... Unpacking faceview (1.0.2.0522) ... Setting up faceview (1.0.2.0522) ... ************************************************************************ Done! ************************************************************************
3. Once it's done, you can find the FaceView application in /usr/local/FaceView/ folder.
4. If you want to uninstall FaceView application, use the command below.
$ sudo dpkg --remove FaceView
Setup Camera
We support two kinds of camera on EPC-R7000. One is USB webcam and the other is IP camera.
[USB Webcam]
It's easy to setup webcam by connecting USB with TX2 device.
The two camera products below are verified, but it's OK to use other products which support 1920x1080 or 1280x720 resolution.
- Microsoft LifeCam HD-3000
- Logitech BRIO V-U0040
[IP Camera]
EPC-R7000 supports PoE function, so you can run FaceView with IP camera for more flexible camera configurations.
The IP camera below is verified. We will take it as an example to set up.
- Vivotek_IB9360H
To configure IP camera for FaceView, we have to route RTSP streaming to video device.
1. Connect IP camera with TX2 device via Ethernet cable.
2. Assign corresponding IP address for the PoE port, e.g. 169.254.111.1/16.
3. Install V4L2Loopback utility & drivers.
$ sudo apt-get install v4l2loopback-utils
4. Route RTSP streaming to video device.
$ sudo modprobe v4l2loopback $ export RTSP_PATH="rtsp://viewer:inventec2017@169.254.6.42:5554/live.sdp" $ gst-launch-1.0 rtspsrc location="$RTSP_PATH" latency=300 ! rtph264depay ! h264parse ! omxh264dec ! videoconvert ! tee ! v4l2sink device=/dev/video0
Run Application
To execute FaceView application, navigate to /usr/local/FaceView/ folder and double-click FaceView icon, or run the application by command mode.
$ cd /usr/local/FaceView/ $ ./FaceView
Then, you will be asked to input license key. Note: Please make sure your network connection is OK to activate the license successfully.
If the key is valid, you are able to see camera preview screen from the application.
For details of operations, please refer to the FaceView user guide.
Set Up Build Environment
To develop QT application with FaceMe SDK, you have to install the packages listed below.
1. Install FaceMe SDK, e.g.FaceMe_SDK_Ubuntu18_ARM64_3.18.0.run
$ chmod +x FaceMe_SDK_Ubuntu18_ARM64_3.18.0.run $ ./FaceMe_SDK_Ubuntu18_ARM64_3.18.0.run ... What path do you want to install? (Press ENTER to use default)[/home/advrisc] Which detection models do you want to install? ML, and (Press ENTER to use default, DNN DNN-X)[DNN DNN-X] Which extraction models do you want to install? (Press ENTER to use default, H1 H2 H3 VH UH UH3)[H1 H3 VH UH3] Do you want to install Demo System? (Press ENTER to use default, yes(y)/no(n))[yes] Do you want to install Sample code? (Press ENTER to use default, yes(y)/no(n))[yes] Install SDK Path: /home/advrisc/FaceMeSDK Install Detection Model: DNN DNN-X Install Extraction Model: H1 H3 VH UH3 Install GPU support: no Install DemoSystem: yes Install Sample Code: yes Are you sure? (Press ENTER to use default, yes(y)/no(n))[yes]
2. Install pre-built Qt 5.14.2 binaries
$ tar zxvf Qt-5.14.2-Ubuntu18.04-ARM64.tar.gz $ cd Qt-5.14.2-U18.04-ARM64 $ sudo cp -a * / $ sudo vim ~/.profile PATH="/usr/local/Qt-5.14.2/bin:$PATH" $ source ~/.profile
3. Install QT creator
$ sudo apt-get install qtcreator
4. Install pre-built OpenCV 3.4.2 with CUDA & Jpeg1.5.3 support
$ tar zxvf OpenCV-3.4.2-aarch64-U18.04-JPEG1.5.3.tar.gz $ cd OpenCV-3.4.2-aarch64 $ sudo cp -a * /usr/local/
Traffic Analysis
IVS
IVS service is a web application which provides intelligent video analysis for traffic issues, such as vehicle detection, license recognition, car parking & traffic counting.
Supported Platforms
- nVidia TX2: EPC-R7000
Run Application
You can connect the host PC with EPC-R7000 with microUSB cable (RNDIS) or Ethernet. Then, open browser with specific URL to access IVS service.
- RNDIS: 192.168.55.1:5000/admin
- Ethernet: <your device IP address>:5000/admin
After login with correct account/password, you can configure the monitor regions as your requirements.
For more details, please refer to the IVS user guide document.
[Traffic]
[License Recognition]
[People Counting]
