OpenModelZoo5 - PukiWiki

Open Model Zoo Demos を動かす５ †

　第11世代 CPU(Core™ i3) を搭載したノートパソコン「DELL Vostro 3500」で、OpenVINO™ツールキット付属のデモソフトを動かしその速度を調べる。

※ 最終更新:2021/06/11　

機種	CPU/GPU
①	Core™ i7-1185G7 + GPU (FP16)
②	Core™ i7-1185G7 + GPU (FP32)
③	Core™ i7-1185G7
④	Core™ i7-1185G7 + NCS2
⑤	Core™ i5-10210
⑥	Core™ i3-1115G4
⑦	Core™ i3-1115G4 + NCS2

　　※ 動作環境は異なるので数値は参考値

↑

3D Human Pose Estimation Python* Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_human_pose_estimation_3d_demo.sh 
[human_pose_estimation_3d_demo.sh] 'human_pose_estimation_3d_demo' Run !!

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_human_pose_estimation_3d_demo_16.sh 
[human_pose_estimation_3d_demo_16.sh] 'human_pose_estimation_3d_demo (NCS2)' Run !!
Mean core utilization: 12.9% 
E: [global] [    499010] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    499010] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

CPU:    FPS 5.3
MYRIAD: FPS 4.0

速度比較

項目 ① ② ③ ④ ⑤ ⑥ ⑦

fps 41 30.2 13.8 4.1 13.5 4.7 4.0

項目	①	②	③	④	⑤	⑥	⑦
fps	41	30.2	13.8	4.1	13.5	4.7	4.0

↑

Action Recognition Python* Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_action_recognition.sh 
[action_recognition_demo.sh] 'action_recognition_demo' Run !!
Reading IR...
Loading IR to the plugin...
Reading IR...
Loading IR to the plugin...
To close the application, press 'CTRL+C' here or switch to the output window and press Esc or Q
Frame 15: Safe driving - 85.45% -- 10.91ms
Frame 16: Safe driving - 87.28% -- 33.52ms
    :
    :
Frame 124: Safe driving - 82.10% -- 115.30ms
Frame 125: Safe driving - 81.08% -- 117.01ms
Frame 126: Safe driving - 79.23% -- 119.67ms
finishing <action_recognition_demo.steps.RenderStep object at 0x7fdbb09cb910>
Data total: 2.74ms (+/-: 5.83) 365.10fps
Data   own: 2.72ms (+/-: 5.83) 367.02fps
Encoder total: 23.73ms (+/-: 9.75) 42.15fps
Encoder   own: 23.71ms (+/-: 9.75) 42.17fps
Decoder total: 93.11ms (+/-: 41.04) 10.74fps
Decoder   own: 93.10ms (+/-: 41.04) 10.74fps
Render total: 156.47ms (+/-: 90.34) 6.39fps
Render   own: 156.54ms (+/-: 87.49) 6.39fps

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_action_recognition_16.sh 
[action_recognition_demo_16.sh] 'action_recognition_demo (NCS2)' Run !!
Reading IR...
Loading IR to the plugin...
[Warning][VPU][Config] Deprecated option was used : VPU_HW_STAGES_OPTIMIZATION
Reading IR...
Loading IR to the plugin...
To close the application, press 'CTRL+C' here or switch to the output window and press Esc or Q
Frame 15: Safe driving - 84.79% -- 10.39ms
Frame 16: Safe driving - 86.75% -- 11.10ms
    :
    :
Frame 505: Safe driving - 85.53% -- 8.47ms
Frame 506: Safe driving - 85.87% -- 8.54ms
Frame 507: Safe driving - 86.01% -- 8.64ms
finishing <action_recognition_demo.steps.RenderStep object at 0x7f628bd2daf0>
Data total: 4.81ms (+/-: 5.29) 208.11fps
Data   own: 4.78ms (+/-: 5.26) 209.39fps
Encoder total: 5.43ms (+/-: 5.14) 184.29fps
Encoder   own: 5.38ms (+/-: 5.12) 185.84fps
Decoder total: 8.71ms (+/-: 7.30) 114.76fps
Decoder   own: 8.69ms (+/-: 7.28) 115.08fps
Render total: 35.16ms (+/-: 29.89) 28.44fps
Render   own: 34.78ms (+/-: 28.90) 28.75fps

E: [global] [    917514] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    917514] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較

項目		①	②	③	④	⑤	⑥	⑦
Data totai	fps	642	528	552	435	1152	365	208
Data totai	ms	1.56	1.89	1.81	2.30	0.87	2.74	4.81
Encoder total	fps	197	186	184	125	235	42	186
Encoder total	ms	5.1	5.38	5.43	7.99	4.3	23.7	5.43
Decoder total	fps	1239	76.4	65.8	580	44	10.7	115
Decoder total	ms	0.81	13.1	15.2	1.72	23	93.1	8.71
Render total	fps	30.4	21.7	23.6	31.8	27	6.39	28.44
Render total	ms	33	46.1	42.4	31.4	37	156	35.2

↑

Object Detection Python* Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_object_detection_python_demo.sh 
[object_detection_demo.sh] 'object_detection_demo' Run !!
[ INFO ] Initializing Inference Engine...
[ INFO ] Loading network...
[ INFO ] Reading network from IR...
[ INFO ] Loading network to CPU plugin...
[ INFO ] Starting inference...
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
Latency: 689.5 ms
FPS: 1.2

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_object_detection_python_demo_16.sh 
[object_detection_demo/_16.sh] 'object_detection_demo (NCS2)' Run !!
[ INFO ] Initializing Inference Engine...
[ INFO ] Loading network...
[ INFO ] Reading network from IR...
[ INFO ] Loading network to MYRIAD plugin...
[ INFO ] Starting inference...
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
Latency: 432.0 ms
FPS: 1.8

E: [global] [    242120] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    242120] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

Latency(ms) 33.0 124 235 466 219.2 670 432

fps 10.5 7.9 4.2 2.1 4.5 1.2 1.8

項目	①	②	③	④	⑤	⑥	⑦
Latency(ms)	33.0	124	235	466	219.2	670	432
fps	10.5	7.9	4.2	2.1	4.5	1.2	1.8

↑

Human Pose Estimation Python* Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_human_pose_estimation.sh 
[human_pose_estimation_demo.sh] 'human_pose_estimation_demo' Run !!
[ INFO ] Initializing Inference Engine...
[ INFO ] Loading network...
[ INFO ] Reading network from IR...
[ INFO ] Reshape net to {'data': [1, 3, 256, 456]}
[ INFO ] Loading network to CPU plugin...
[ INFO ] Starting inference...
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
Latency: 162.9 ms
FPS: 5.8

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_human_pose_estimation_16.sh 
[human_pose_estimation_demo_16.sh] 'human_pose_estimation_demo (NCS2)' Run !!
[ INFO ] Initializing Inference Engine...
[ INFO ] Loading network...
[ INFO ] Reading network from IR...
[ INFO ] Reshape net to {'data': [1, 3, 256, 456]}
[ INFO ] Loading network to MYRIAD plugin...
[ INFO ] Starting inference...
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
Latency: 214.6 ms
FPS: 4.5

E: [global] [    369237] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    369237] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

Latency (ms) 23.2 28.5 51.4 212 44.1 162.3 214.6

FPS 38.8 32.2 18.5 4.5 17.3 5.3 4.5

項目	①	②	③	④	⑤	⑥	⑦
Latency (ms)	23.2	28.5	51.4	212	44.1	162.3	214.6
FPS	38.8	32.2	18.5	4.5	17.3	5.3	4.5

↑

Gesture Recognition Python* Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_gesture_recognition_demo.sh 
[gesture_recognition_demo.sh] 'gesture_recognition_demo' Run !!

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

fps 13.5 13.5 14.3 X 14.3 3.34 X

項目	①	②	③	④	⑤	⑥	⑦
fps	13.5	13.5	14.3	X	14.3	3.34	X

↑

Handwritten Text Recognition Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_handwritten_text_recognition_demo.sh 
[handwritten_text_recognition_demo.sh] 'handwritten_text_recognition_demo' Run !!
[ INFO ] Loading network
[ INFO ] Preparing input/output blobs
[ INFO ] Loading model to the plugin
[ INFO ] Starting inference (1 iterations)
['菊池朋子']
[ INFO ] Average throughput: 1129.4593811035156 ms

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_handwritten_text_recognition_demo_16.sh 
[handwritten_text_recognition_demo_16.sh] 'handwritten_text_recognition_demo (NCS2)' Run !!
[ INFO ] Loading network
[ INFO ] Preparing input/output blobs
[ INFO ] Loading model to the plugin
[ INFO ] Starting inference (1 iterations)
['菊池朋子']
[ INFO ] Average throughput: 921.0784435272217 ms
E: [global] [     62031] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [     62031] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

Average throughput(ms) 52.7 91.2 373 314 277 1129 921

項目	①	②	③	④	⑤	⑥	⑦
Average throughput(ms)	52.7	91.2	373	314	277	1129	921

↑

Text Detection C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_text_detection_demo.sh 
[text_detection_demo.sh] 'text_detection_demo' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading network files
[ INFO ] Starting inference
To close the application, press 'CTRL+C' here or switch to the output window and press ESC or Q
text detection model inference (ms) (fps): 385.5 2.59403
text detection postprocessing (ms) (fps): 70.15 14.2552

text recognition model inference (ms) (fps): 25.1893 39.6994
text recognition postprocessing (ms) (fps): 0.0175 57142.9

text crop (ms) (fps): 0.0678964 14728.3

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_text_detection_demo_16.sh 
[text_detection_demo_16.sh] 'text_detection_demo (NCS2)' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading network files
[ INFO ] Starting inference
To close the application, press 'CTRL+C' here or switch to the output window and press ESC or Q
text detection model inference (ms) (fps): 667.417 1.49831
text detection postprocessing (ms) (fps): 63.4167 15.7687

text recognition model inference (ms) (fps): 78 12.8205
text recognition postprocessing (ms) (fps): 0.0170889 58517.6

text crop (ms) (fps): 0.123578 8092.07

E: [global] [    434084] [text_detection_] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    434084] [text_detection_] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較

項目		①	②	③	④	⑤	⑥	⑦
detection model inference	ms	40.9	62	103	648	102	386	667
detection model inference	fps	24.5	16.1	9.68	1.54	9.8	2.59	1.50
detection model postprocessing	ms	73.7	90.7	56.9	86.6	40.4	70.2	63.4
detection model postprocessing	fps	13.6	11.0	17.6	11.5	24.7	14.3	15.8
recognition model inference	ms	54.3	59.0	8.14	76.6	7.1	25.2	76.1
recognition model inference	fps	18.4	16.9	122.9	13.1	140	40.0	12.8
recognition model postprocessing	ms	0.0091	0.0091	0.0094	0.018	0.007	0.0175	0.0171
recognition model postprocessing	fps	109375	108834	106020	58852	136364	57143	58518

↑

Crossroad Camera C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_crossroad_camera_demo.sh 
[crossroad_camera_demo.sh] 'crossroad_camera_demo' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Person Attributes Recognition detection DISABLED
[ INFO ] Person Reidentification Retail detection DISABLED
[ INFO ] Loading device CPU
[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading network files for PersonDetection
[ INFO ] Batch size is forced to  1
[ INFO ] Checking Person Detection inputs
[ INFO ] Checking Person Detection outputs
[ INFO ] Loading Person Detection model to the CPU device
[ INFO ] Start inference 
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
[ INFO ] Total Inference time: 6790.05

[ INFO ] Execution successful

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_crossroad_camera_demo_16.sh 
[crossroad_camera_demo_16.sh] 'crossroad_camera_demo (NCS2)' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Person Attributes Recognition detection DISABLED
[ INFO ] Person Reidentification Retail detection DISABLED
[ INFO ] Loading device MYRIAD
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading network files for PersonDetection
[ INFO ] Batch size is forced to  1
[ INFO ] Checking Person Detection inputs
[ INFO ] Checking Person Detection outputs
[ INFO ] Loading Person Detection model to the MYRIAD device
[ INFO ] Start inference 
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
[ INFO ] Total Inference time: 7498.47

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

detection time(ms) 20 17.6 24.3 269.2 30 81.0 270.7

fps 74 56 40.1 3.71 32 12.34 3.69

項目	①	②	③	④	⑤	⑥	⑦
detection time(ms)	20	17.6	24.3	269.2	30	81.0	270.7
fps	74	56	40.1	3.71	32	12.34	3.69

↑

Human Pose Estimation C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_human_pose_estimation.sh 
[human_pose_estimation_demo.sh] 'human_pose_estimation_demo' Run !!
[ INFO ] Initializing Inference Engine...
[ INFO ] Loading network...
[ INFO ] Reading network from IR...
[ INFO ] Reshape net to {'data': [1, 3, 256, 456]}
[ INFO ] Loading network to CPU plugin...
[ INFO ] Starting inference...
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
Latency: 161.0 ms
FPS: 6.0

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_human_pose_estimation_16.sh 
[human_pose_estimation_demo_16.sh] 'human_pose_estimation_demo (NCS2)' Run !!
[ INFO ] Initializing Inference Engine...
[ INFO ] Loading network...
[ INFO ] Reading network from IR...
[ INFO ] Reshape net to {'data': [1, 3, 256, 456]}
[ INFO ] Loading network to MYRIAD plugin...
[ INFO ] Starting inference...
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
Latency: 213.9 ms
FPS: 4.5

E: [global] [    809777] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    809777] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

Latency (ms) 23.5 28.7 51.8 212.2 43.4 161.0 213.9

FPS 37.9 31.3 18.5 4.5 21.5 6.0 4.5

　※「2021.3」で変更あり。

項目	①	②	③	④	⑤	⑥	⑦
Latency (ms)	23.5	28.7	51.8	212.2	43.4	161.0	213.9
FPS	37.9	31.3	18.5	4.5	21.5	6.0	4.5

↑

Object Detection C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_object_detection_demo.sh 
[object_detection_demo.sh] 'object_detection_demo' Run !!
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Reading input
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
Loading network files
[ INFO ] Batch size is forced to 1.
[ INFO ] Checking that the inputs are as the demo expects
[ INFO ] Checking that the outputs are as the demo expects
[ INFO ] Loading model to the device

[ INFO ] Metric reports:
Latency: 89.5 ms
FPS: 21.0
[ INFO ] 

[ INFO ] The execution has completed successfully

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_object_detection_demo_16.sh 
[object_detection_demo_16.sh] 'object_detection_demo (NCS2)' Run !!
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Reading input
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
Loading network files
[ INFO ] Batch size is forced to 1.
[ INFO ] Checking that the inputs are as the demo expects
[ INFO ] Checking that the outputs are as the demo expects
[ INFO ] Loading model to the device

[ INFO ] Metric reports:
Latency: 307.5 ms
FPS: 15.7
[ INFO ] 

[ INFO ] The execution has completed successfully

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

Latency(ms) 20.3 30.9 44.6 307.9 22 89.5 307.5

fps 214.7 151.7 104.5 15.7 73.0 21.0 15.7

項目	①	②	③	④	⑤	⑥	⑦
Latency(ms)	20.3	30.9	44.6	307.9	22	89.5	307.5
fps	214.7	151.7	104.5	15.7	73.0	21.0	15.7

↑

Smart Classroom C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_smart_classroom_demo.sh 
[smart_classroom_demo.sh] 'smart_classroom_demo' Run !!
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ WARNING ] Face recognition models are disabled!
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key

[ INFO ] Mean FPS: 6.301
[ INFO ] Frames processed: 61

[ INFO ] Execution successful

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_smart_classroom_demo_16.sh 
[smart_classroom_demo_16.sh] 'smart_classroom_demo (NCS2)' Run !!
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ WARNING ] Face recognition models are disabled!
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key

[ INFO ] Mean FPS: 3.61141
[ INFO ] Frames processed: 30

E: [global] [      5866] [smart_classroom] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [      5866] [smart_classroom] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

Mean Fps 39.2 22.5 20.3 3.7 20 6.3 3.6

Frames processed 363 87 117 25 168 61 30

項目	①	②	③	④	⑤	⑥	⑦
Mean Fps	39.2	22.5	20.3	3.7	20	6.3	3.6
Frames processed	363	87	117	25	168	61	30

↑

Pedestrian Tracker C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_pedestrian_tracker_demo.sh 
[pedestrian_tracker_demo.sh] 'pedestrian_tracker_demo' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
Loading device CPU
	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

To close the application, press 'CTRL+C' here or switch to the output window and press ESC key

Execution successful

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_pedestrian_tracker_demo_16.sh 
[pedestrian_tracker_demo_16.sh] 'pedestrian_tracker_demo (NCS2)' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
Loading device MYRIAD
	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

E: [global] [    104719] [pedestrian_trac] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    104719] [pedestrian_trac] XLinkResetRemote:257	can't wait dispatcherClosedSem

[ ERROR ] Failed to compile layer "736": Unsupported combination of indices in layer "736". Only across channel and full batch supported.

　※「2021.3」でNUC2実行エラー(非対応?)。

↑

Super Resolution C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_super_resolution_demo.sh 
[super_resolution_demo.sh] 'super_resolution_demo' Run !!
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Files were added: 1
[ INFO ]     /home/mizutu/Images/image-low.bmp
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading network files
[ INFO ] Preparing input blobs
[ INFO ] Batch size is 1
[ INFO ] Preparing output blobs
[ INFO ] Loading model to the device
[ INFO ] Create infer request
To close the application, press 'CTRL+C' here or switch to the output window and press any key
[ INFO ] Start inference
[ INFO ] Output size [N,C,H,W]: 1, 3, 1080, 1920
[ INFO ] Execution successful

[ INFO ] This demo is an API example, for any performance measurements please use the dedicated benchmark_app tool from the openVINO toolkit

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_super_resolution_demo_16.sh 
[super_resolution_demo_16.sh] 'super_resolution_demo (NCS2)' Run !!
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Files were added: 1
[ INFO ]     /home/mizutu/Images/image-low.bmp
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading network files
[ INFO ] Preparing input blobs
[ INFO ] Batch size is 1
[ INFO ] Preparing output blobs
[ INFO ] Loading model to the device
[ INFO ] Create infer request
To close the application, press 'CTRL+C' here or switch to the output window and press any key
[ INFO ] Start inference
[ INFO ] Output size [N,C,H,W]: 1, 3, 1080, 1920
E: [global] [    205199] [super_resolutio] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    205199] [super_resolutio] XLinkResetRemote:257	can't wait dispatcherClosedSem

[ INFO ] Execution successful

[ INFO ] This demo is an API example, for any performance measurements please use the dedicated benchmark_app tool from the openVINO toolkit

↑

Single Human Pose Estimation Demo (top-down pipeline) †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_single_human_pose_estimation_demo.sh 
[single_human_pose_estimation_demo.sh] 'single_human_pose_estimation_demo' Run !!

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_single_human_pose_estimation_demo_16.sh 
[single_human_pose_estimation_demo_16.sh] 'single_human_pose_estimation_demo (NCS2)' Run !!

E: [global] [    268903] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    268903] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

summary (fps) 4.5 3.2 1.5 0.3 0.9 0.5 0.3

estimation (fps) 18.1 10.0 4.7 1.5 5.6 1.5 1.6

detection (fps) 140.2 118 78.3 26.3 109.9 20.1 23.9

項目	①	②	③	④	⑤	⑥	⑦
summary (fps)	4.5	3.2	1.5	0.3	0.9	0.5	0.3
estimation (fps)	18.1	10.0	4.7	1.5	5.6	1.5	1.6
detection (fps)	140.2	118	78.3	26.3	109.9	20.1	23.9

↑

Interactive Face Detection C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_interactive_face_detection_demo.sh 
[interactive_face_detection_demo.sh] 'interactive_face_detection_demo' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Loading device CPU
[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading network files for Face Detection
[ INFO ] Batch size is set to 1
[ INFO ] Checking Face Detection network inputs
[ INFO ] Checking Face Detection network outputs
[ INFO ] Loading Face Detection model to the CPU device
[ INFO ] Loading network files for Age/Gender Recognition network
[ INFO ] Batch size is set to 16 for Age/Gender Recognition network
[ INFO ] Checking Age/Gender Recognition network inputs
[ INFO ] Checking Age/Gender Recognition network outputs
[ INFO ] Loading Age/Gender Recognition model to the CPU plugin
[ INFO ] Loading network files for Head Pose Estimation network
[ INFO ] Batch size is set to  16 for Head Pose Estimation network
[ INFO ] Checking Head Pose Estimation network inputs
[ INFO ] Checking Head Pose Estimation network outputs
[ INFO ] Loading Head Pose Estimation model to the CPU plugin
[ INFO ] Loading network files for Emotions Recognition
[ INFO ] Batch size is set to 16 for Emotions Recognition
[ INFO ] Checking Emotions Recognition network inputs
[ INFO ] Checking Emotions Recognition network outputs
[ INFO ] Loading Emotions Recognition model to the CPU plugin
[ INFO ] Loading network files for Facial Landmarks Estimation
[ INFO ] Batch size is set to  16 for Facial Landmarks Estimation network
[ INFO ] Checking Facial Landmarks Estimation network inputs
[ INFO ] Checking Facial Landmarks Estimation network outputs
[ INFO ] Loading Facial Landmarks Estimation model to the CPU plugin
[ INFO ] Loading network files for Antispoofing Classifier network
[ INFO ] Batch size is set to 16 for Antispoofing Classifier network
[ INFO ] Checking Antispoofing Classifier network inputs
[ INFO ] Checking Antispoofing Classifier network outputs
[ INFO ] Loading Antispoofing Classifier model to the CPU plugin
To close the application, press 'CTRL+C' here or switch to the output window and press Q or Esc
[ INFO ] Number of processed frames: 41
[ INFO ] Total image throughput: 4.47617 fps

[ INFO ] Execution successful

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_interactive_face_detection_demo_16.sh 
[interactive_face_detection_demo_16.sh] 'interactive_face_detection_demo (NCS2)' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Loading device MYRIAD
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading network files for Face Detection
[ INFO ] Batch size is set to 1
[ INFO ] Checking Face Detection network inputs
[ INFO ] Checking Face Detection network outputs
[ INFO ] Loading Face Detection model to the MYRIAD device
[ INFO ] Loading network files for Age/Gender Recognition network
[ INFO ] Batch size is set to 16 for Age/Gender Recognition network
[ INFO ] Checking Age/Gender Recognition network inputs
[ INFO ] Checking Age/Gender Recognition network outputs
[ INFO ] Loading Age/Gender Recognition model to the MYRIAD plugin
[ INFO ] Loading network files for Head Pose Estimation network
[ INFO ] Batch size is set to  16 for Head Pose Estimation network
[ INFO ] Checking Head Pose Estimation network inputs
[ INFO ] Checking Head Pose Estimation network outputs
[ INFO ] Loading Head Pose Estimation model to the MYRIAD plugin
[ INFO ] Loading network files for Emotions Recognition
[ INFO ] Batch size is set to 16 for Emotions Recognition
[ INFO ] Checking Emotions Recognition network inputs
[ INFO ] Checking Emotions Recognition network outputs
[ INFO ] Loading Emotions Recognition model to the MYRIAD plugin
[ INFO ] Loading network files for Facial Landmarks Estimation
[ INFO ] Batch size is set to  16 for Facial Landmarks Estimation network
[ INFO ] Checking Facial Landmarks Estimation network inputs
[ INFO ] Checking Facial Landmarks Estimation network outputs
[ INFO ] Loading Facial Landmarks Estimation model to the MYRIAD plugin
[ INFO ] Loading network files for Antispoofing Classifier network
[ INFO ] Batch size is set to 16 for Antispoofing Classifier network
[ INFO ] Checking Antispoofing Classifier network inputs
[ INFO ] Checking Antispoofing Classifier network outputs
[ INFO ] Loading Antispoofing Classifier model to the MYRIAD plugin
To close the application, press 'CTRL+C' here or switch to the output window and press Q or Esc
[ INFO ] Number of processed frames: 24
[ INFO ] Total image throughput: 2.34991 fps

E: [global] [    364295] [interactive_fac] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    364295] [interactive_fac] XLinkResetRemote:257	can't wait dispatcherClosedSem

[ INFO ] Execution successful

速度比較

項目 ① ② ③ ④ ⑤ ⑥ ⑦

Number of processed frames 218 467 379 13 86 41 24

Total image throughput (fps) 19.2 16.5 17.6 2.40 17.4 4.48 2.35

項目	①	②	③	④	⑤	⑥	⑦
Number of processed frames	218	467	379	13	86	41	24
Total image throughput (fps)	19.2	16.5	17.6	2.40	17.4	4.48	2.35

↑

Gaze Estimation Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_gaze_estimation_demo.sh 
[gaze_estimation_demo.sh] 'gaze_estimation_demo' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Loading device CPU
[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3


[ INFO ] Execution successful

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_gaze_estimation_demo_16.sh 
[gaze_estimation_demo_16.sh] 'gaze_estimation_demo (NCS2)' Run !!
InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Parsing input parameters
[ INFO ] Loading device MYRIAD
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading device MYRIAD
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading device MYRIAD
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading device MYRIAD
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading device MYRIAD
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3


E: [global] [    510215] [gaze_estimation] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    510215] [gaze_estimation] XLinkResetRemote:257	can't wait dispatcherClosedSem

[ INFO ] Execution successful

速度比較

項目 ① ② ③ ④ ⑤ ⑥ ⑦

Overeli (fps) 40 32 62 28 110 23 19

Interface (fps) 46 41 75 32 202 35 26

項目	①	②	③	④	⑤	⑥	⑦
Overeli (fps)	40	32	62	28	110	23	19
Interface (fps)	46	41	75	32	202	35	26

↑

Security Barrier Camera C++ Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_security_barrier_camera_demo.sh 
[security_barrier_camera_demo.sh] 'security_barrier_camera_demo' Run !!
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Files were added: 1
[ INFO ]     /home/mizutu/Videos/car-detection.mp4
[ INFO ] Loading device CPU
[ INFO ] 	CPU
	MKLDNNPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading detection model to the CPU plugin
[ INFO ] Loading Vehicle Attribs model to the CPU plugin
[ INFO ] Loading Licence Plate Recognition (LPR) model to the CPU plugin
[ INFO ] Number of InferRequests: 1 (detection), 3 (classification), 3 (recognition)
[ INFO ] 1 streams for CPU
[ INFO ] Display resolution: 1920x1080
[ INFO ] Number of allocated frames: 3
[ INFO ] Resizable input with support of ROI crop and auto resize is disabled
46.7FPS for (375 / 1) frames
Detection InferRequests usage: 100.0%

[ INFO ] Execution successful

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_security_barrier_camera_demo_16.sh 
[security_barrier_camera_demo_16.sh] 'security_barrier_camera_demo (NCS2)' Run !!
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3
[ INFO ] Files were added: 1
[ INFO ]     /home/mizutu/Videos/car-detection.mp4
[ INFO ] Loading device MYRIAD
[ INFO ] 	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3

[ INFO ] Loading detection model to the MYRIAD plugin
[ INFO ] Loading Vehicle Attribs model to the MYRIAD plugin
[ INFO ] Loading Licence Plate Recognition (LPR) model to the MYRIAD plugin
[ INFO ] Number of InferRequests: 1 (detection), 3 (classification), 3 (recognition)
[ INFO ] Display resolution: 1920x1080
[ INFO ] Number of allocated frames: 3
[ INFO ] Resizable input with support of ROI crop and auto resize is disabled
31.8FPS for (297 / 1) frames
Detection InferRequests usage: 100.0%

E: [global] [    646457] [security_barrie] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    646457] [security_barrie] XLinkResetRemote:257	can't wait dispatcherClosedSem

[ INFO ] Execution successful

速度比較

項目 ① ② ③ ④ ⑤ ⑥ ⑦

fps 157.7 161.4 128.9 35.3 164.5 46.7 31.8

項目	①	②	③	④	⑤	⑥	⑦
fps	157.7	161.4	128.9	35.3	164.5	46.7	31.8

↑

Image Inpainting Python Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_image_inpainting_demo.sh 
[image_inpainting_demo.sh] 'image_inpainting_demo' Run !!

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_image_inpainting_demo_16.sh 
[image_inpainting_demo_16.sh] 'image_inpainting_demo (NCS2)' Run !!
E: [global] [    881231] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    881231] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

↑

Colorization Python Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_colorization_demo.sh 
[colorization_demo.sh] 'colorization_demo' Run !!

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_colorization_demo_16.sh 
[colorization_demo_16.sh] 'colorization_demo (NCS2)' Run !!

E: [global] [     29835] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [     29835] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

↑

Image Deblurring Python* Demo †

デモの実行
・⑥ Core™ i3-1115G4

$ cd ~/run_app/
$ ./_deblurring_demo.sh 
[deblurring_demo.sh] 'deblurring_demo' Run !!
[ INFO ] Initializing Inference Engine...
[ INFO ] Loading network...
[ INFO ] Reading network from IR...
[ INFO ] Loading network to CPU plugin...
[ INFO ] Starting inference...
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
Latency: 629.6 ms
FPS: 1.6

・⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_deblurring_demo_16.sh 
[deblurring_demo_16.sh] 'deblurring_demo (NCS2)' Run !!
[ INFO ] Initializing Inference Engine...
[ INFO ] Loading network...
[ INFO ] Reading network from IR...
[ INFO ] Loading network to MYRIAD plugin...
[ INFO ] Starting inference...
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key
Latency: 592.9 ms
FPS: 1.7

E: [global] [    118055] [python3] XLink_sem_wait:94	 XLink_sem_inc(sem) method call failed with an error: -1
E: [global] [    118055] [python3] XLinkResetRemote:257	can't wait dispatcherClosedSem

速度比較
項目 ① ② ③ ④ ⑤ ⑥ ⑦

Latency(ms) 160.0 182.9 164.3 589.9 213.4 629.6 592.9

fps 5.9 5.1 5.8 1.6 4,5 1.6 1.7

項目	①	②	③	④	⑤	⑥	⑦
Latency(ms)	160.0	182.9	164.3	589.9	213.4	629.6	592.9
fps	5.9	5.1	5.8	1.6	4,5	1.6	1.7

↑

Hello Query Device Python* Sample †

　使用可能なすべての推論エンジンデバイスを照会し、サポートされているメトリックと既定の構成値を出力する。

デモの実行
・⑥⑦ Core™ i3-1115G4 + NCS2

$ cd ~/run_app/
$ ./_hello_query_device.sh 
[hello_query_device.sh] 'hello_query_device' Run !!
Available devices:
[E:] [BSL] found 0 ioexpander device
	Device: CPU
	Metrics:
		AVAILABLE_DEVICES: 
		SUPPORTED_METRICS: AVAILABLE_DEVICES, SUPPORTED_METRICS, FULL_DEVICE_NAME, OPTIMIZATION_CAPABILITIES, SUPPORTED_CONFIG_KEYS, RANGE_FOR_ASYNC_INFER_REQUESTS, RANGE_FOR_STREAMS
		FULL_DEVICE_NAME: 11th Gen Intel(R) Core(TM) i3-1115G4 @ 3.00GHz
		OPTIMIZATION_CAPABILITIES: FP32, FP16, INT8, BIN
		SUPPORTED_CONFIG_KEYS: CPU_BIND_THREAD, CPU_THREADS_NUM, CPU_THROUGHPUT_STREAMS, DUMP_EXEC_GRAPH_AS_DOT, DYN_BATCH_ENABLED, DYN_BATCH_LIMIT, ENFORCE_BF16, EXCLUSIVE_ASYNC_REQUESTS, PERF_COUNT
		RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 1, 1
		RANGE_FOR_STREAMS: 1, 1

	Default values for device configuration keys:
		CPU_BIND_THREAD: YES
		CPU_THREADS_NUM: 0
		CPU_THROUGHPUT_STREAMS: 1
		DUMP_EXEC_GRAPH_AS_DOT: 
		DYN_BATCH_ENABLED: NO
		DYN_BATCH_LIMIT: 0
		ENFORCE_BF16: NO
		EXCLUSIVE_ASYNC_REQUESTS: NO
		PERF_COUNT: NO
	Device: GNA
	Metrics:
		GNA_LIBRARY_FULL_VERSION: 2.0.0.1047
		FULL_DEVICE_NAME: GNA_SW
		OPTIMAL_NUMBER_OF_INFER_REQUESTS: 1
		SUPPORTED_CONFIG_KEYS: EXCLUSIVE_ASYNC_REQUESTS, GNA_COMPACT_MODE, GNA_DEVICE_MODE, GNA_FIRMWARE_MODEL_IMAGE, GNA_FIRMWARE_MODEL_IMAGE_GENERATION, GNA_LIB_N_THREADS, GNA_PRECISION, GNA_PWL_UNIFORM_DESIGN, GNA_SCALE_FACTOR, GNA_SCALE_FACTOR_0, PERF_COUNT, SINGLE_THREAD
		SUPPORTED_METRICS: GNA_LIBRARY_FULL_VERSION, FULL_DEVICE_NAME, OPTIMAL_NUMBER_OF_INFER_REQUESTS, SUPPORTED_CONFIG_KEYS, SUPPORTED_METRICS, AVAILABLE_DEVICES
		AVAILABLE_DEVICES: GNA_SW

	Default values for device configuration keys:
		EXCLUSIVE_ASYNC_REQUESTS: NO
		GNA_COMPACT_MODE: NO
		GNA_DEVICE_MODE: GNA_SW_EXACT
		GNA_FIRMWARE_MODEL_IMAGE: 
		GNA_FIRMWARE_MODEL_IMAGE_GENERATION: 
		GNA_LIB_N_THREADS: 1
		GNA_PRECISION: I16
		GNA_PWL_UNIFORM_DESIGN: NO
		GNA_SCALE_FACTOR: 1.000000
		GNA_SCALE_FACTOR_0: 1.000000
		PERF_COUNT: NO
		SINGLE_THREAD: YES
	Device: MYRIAD
	Metrics:
		DEVICE_THERMAL: UNSUPPORTED TYPE
		OPTIMIZATION_CAPABILITIES: FP16
		RANGE_FOR_ASYNC_INFER_REQUESTS: 3, 6, 1
		SUPPORTED_METRICS: DEVICE_THERMAL, OPTIMIZATION_CAPABILITIES, RANGE_FOR_ASYNC_INFER_REQUESTS, SUPPORTED_METRICS, SUPPORTED_CONFIG_KEYS, FULL_DEVICE_NAME, AVAILABLE_DEVICES
		SUPPORTED_CONFIG_KEYS: DEVICE_ID, EXCLUSIVE_ASYNC_REQUESTS, LOG_LEVEL, VPU_MYRIAD_FORCE_RESET, VPU_MYRIAD_PLATFORM, VPU_CUSTOM_LAYERS, PERF_COUNT, VPU_PRINT_RECEIVE_TENSOR_TIME, CONFIG_FILE, VPU_HW_STAGES_OPTIMIZATION, MYRIAD_THROUGHPUT_STREAMS, MYRIAD_ENABLE_FORCE_RESET, MYRIAD_ENABLE_RECEIVING_TENSOR_TIME, MYRIAD_CUSTOM_LAYERS, MYRIAD_ENABLE_HW_ACCELERATION
		FULL_DEVICE_NAME: Intel Movidius Myriad X VPU
		AVAILABLE_DEVICES: 1.3-ma2480

	Default values for device configuration keys:
		DEVICE_ID: 
		EXCLUSIVE_ASYNC_REQUESTS: NO
		LOG_LEVEL: LOG_NONE
		VPU_MYRIAD_FORCE_RESET: NO
		VPU_MYRIAD_PLATFORM: 
		VPU_CUSTOM_LAYERS: 
		PERF_COUNT: NO
		VPU_PRINT_RECEIVE_TENSOR_TIME: NO
		CONFIG_FILE: 
		VPU_HW_STAGES_OPTIMIZATION: YES
		MYRIAD_THROUGHPUT_STREAMS: -1
		MYRIAD_ENABLE_FORCE_RESET: NO
		MYRIAD_ENABLE_RECEIVING_TENSOR_TIME: NO
		MYRIAD_CUSTOM_LAYERS: 
		MYRIAD_ENABLE_HW_ACCELERATION: YES

↑

テスト環境 †

①②③④ DELL Latitude 7520
- CPU Intel® Core™ i7-1185G7 CPU
- Processor Graphics Intel® Iris® Xe Graphics
- 32GB Memory
- 1TB M.2 SSD
- OS Ubuntu20.04LTS
- OpenVINO™ Toolkit for Linux 2021.3
⑤ Intel® NUC キット BXNUC10I5FNH
- CPU Intel® Core™ i5-10210U CPU
- 62GB Memory
- 1TB M.2 SSD
- OS Ubuntu20.04LTS
- OpenVINO™ Toolkit for Linux 2021.3
⑥⑦ DELL Vostro 3500
- CPU 11th Gen Intel® Core™ i3-1115G4 @ 3.00GHz
- 4GB Memory
- 1TB HDD
- OS Windows10 Pro
- Ubuntu20.04LTS on Oracle VM VirtualBox
- OpenVINO™ Toolkit for Linux 2021.3
Intel® Neural Compute Stick 2 (Intel® NCS2)
- Processor: Intel Movidius Myriad X Vision Processing Unit (VPU)

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更新履歴 †

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