Introduction of intel stick 2

1. Intel® Neural Compute Stick 2
Movidius 神經運算棒 2
安裝環境與簡單介紹
106213014 資管三 歐芷欣

2. 運算棒 比較
晶片：
SOFTWARE：
運算力
(Operation per Second)
SUPPORTED
FRAMEWORKS
1 TOPS 4 TOPS 5.6 TOPS
Myriad 2
Google AIY
Vision Kit（v2）
Myraid X
OpenVINO™ Toolkit
Gyrfalcon
Lightspeeur
SPR2801S
Tensor Flow
Caffe
Tensor Flow
Caffe
Pytorch
Caffe
Pytorch
Movidius
NCS1
Movidius
NCS2
Orange Pi
AI Stick 2801 NCS

3. 運算棒 比較
Movidius
NCS1
運算能力：CPU < NCS < GPU
功耗：NCS < CPU < GPU
Movidius
NCS1
Movidius
NCS2

4. NCSDK
Toolkit 僅提供
Tensorflow / Caffe 框架編譯
API Framework 僅提供
C/C++ or Python 語言開發

5. NCS - 開發流程
Note：注意，訓練神經網路不要用 NCSDK

6. 安裝環境- NCS 2
安裝所需設備
An x86-64 host computer with Windows 10® /
Ubuntu* (16.04 or 18.04)
→ For the Intel® Distribution of OpenVINO™ Toolkit.
Intel® Neural Compute Stick 2 (Intel® NCS 2)
An internet connection to download
→ install the Intel® Distribution of OpenVINO™ toolkit.

7. 安裝環境- NCS 2 Step 2: Install the OpenVINO™ Toolkit
安裝相對應的版本
https://software.intel.com/en-us/openvino-
toolkit/choose-download

8. 安裝環境- NCS 2
Windows
Step 2: Install the OpenVINO™ Toolkit
Download
w_openvino_toolkit_<VERSION>.exe
Linux

9. 安裝環境- NCS 2
Windows
Step 3. Configure Neural
Compute
Stick USB Driver
SKIP
Linux

10. 安裝環境- NCS 2
Windows
Step 4. Test the Installation
Linux

11. 安裝環境- NCS 2
git clone http://github.com/movidius/ncappzoo
Next Steps: The ncappzoo
After you've cloned it you can navigate into any app directory (all in the
ncappzoo/apps dir) from a terminal window and type:
make run

12. Other Example
Windows
Linux
This example runs multiple
neural networks, such as
vehicle attribute and license
plate detection and recognition

13. Other Example Linux
To run the same program manually,
enter these commands below in a
terminal window or command
prompt window.
source ~/intel/openvino/bin/setupvars.sh
cd ~/inference_engine_samples_build/intel64/Release
./security_barrier_camera_demo -i
~/intel/openvino/deployment_tools/demo/car_1.bmp -d MYRIAD -m
~/openvino_models/ir/FP16/Security/object_detection/barrier/0106/dld
t/vehicle-license-plate-detection-barrier-0106-fp16.xml -d_va MYRIAD -
m_va
~/openvino_models/ir/FP16/Security/object_attributes/vehicle/resnet10
_update_1/dldt/vehicle-attributes-recognition-barrier-0039-fp16.xml -
d_lpr MYRIAD -m_lpr
~/openvino_models/ir/FP16/Security/optical_character_recognition/lice
nse_plate/dldt/license-plate-recognition-barrier-0001-fp16.xml

14. C:
C:"Program Files (x86)"IntelSWToolsopenvinobinsetupvars.bat
cd
%USERPROFILE%DocumentsIntelOpenVINOinference_engine_sample
s_build_2017intel64Release
.security_barrier_camera_demo.exe -i "C:Program Files
(x86)IntelSWToolsopenvinodeployment_toolsdemocar_1.bmp" -d
MYRIAD -m
"%USERPROFILE%DocumentsIntelOpenVINOopenvino_modelsirFP1
6Securityobject_detectionbarrier0106dldtvehicle-license-plate-
detection-barrier-0106-fp16.xml" -d_va MYRIAD -m_va
"%USERPROFILE%DocumentsIntelOpenVINOopenvino_modelsirFP1
6Securityobject_attributesvehicleresnet10_update_1dldtvehicle-
attributes-recognition-barrier-0039-fp16.xml" -d_lpr MYRIAD -m_lpr
"%USERPROFILE%DocumentsIntelOpenVINOopenvino_modelsirFP1
6Securityoptical_character_recognitionlicense_platedldtlicense-
plate-recognition-barrier-0001-fp16.xml"
Other Example Windows
To run the same program manually,
enter these commands below in a
terminal window or command
prompt window.

15. Microsoft Visual Studio

16. Microsoft Visual Studio

17. Microsoft Visual Studio