私的AI研究会 > OpenVINO15
OpenVINO™ツールキットの最新版「2021.3」を「Core™ i7-2620M」VirtualBox 上の ubuntu20.04 にインストールする。
VirtualBox は USB デバイスを使用できるので、Windows10 上の Ununtu 仮想マシンでソフトウェアの動作を確認する。
sudo apt install openssh-server sudo apt install net-tools
$ vi ~/.vimrc set nocompatible set backspace=indent,eol,start set expandtab set tabstop=4 set shiftwidth=4 set autoindent
$ sudo ln -s ~/.vimrc /root/.vimrc $ sudo ls -la /root 合計 24 drwx------ 4 root root 4096 3月 19 05:34 . drwxr-xr-x 21 root root 4096 3月 19 04:49 .. -rw-r--r-- 1 root root 570 9月 9 2019 .bashrc drwx------ 2 root root 4096 9月 26 09:13 .cache -rw-r--r-- 1 root root 148 9月 9 2019 .profile lrwxrwxrwx 1 root root 15 3月 19 05:34 .vimrc -> /home/pi/.vimrc drwx------ 3 root root 4096 3月 17 15:37 .vnc
Intel® のオフィシャルサイトが確実。(最新版が入手できる)
$ tar -xvzf l_openvino_toolkit_p_2021.3.394.tgz
$ cd l_openvino_toolkit_p_2021.3.394 $ sudo ./install_GUI.sh
$ cd /opt/intel/openvino_2021/install_dependencies $ sudo -E ./install_openvino_dependencies.sh
$ source /opt/intel/openvino_2021/bin/setupvars.sh [setupvars.sh] OpenVINO environment initializedシェルを起動時に自動的に環境変数を設定するため 「~/.bashrc」ファイルの最後に「source /opt/intel/openvino_2021/bin/setupvars.sh」の1行を追記する。
$ cd /opt/intel/openvino_2021/deployment_tools/model_optimizer/install_prerequisites $ sudo ./install_prerequisites.sh
pip install torch==1.8.0+cpu torchvision==0.9.0+cpu torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html
$ pip3 install torch==1.8.1+cpu torchvision==0.9.1+cpu torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html Defaulting to user installation because normal site-packages is not writeable Looking in links: https://download.pytorch.org/whl/torch_stable.html Collecting torch==1.8.1+cpu Downloading https://download.pytorch.org/whl/cpu/torch-1.8.1%2Bcpu-cp38-cp38-linux_x86_64.whl (169.1 MB) |████████████████████████████████| 169.1 MB 4.4 kB/s Collecting torchvision==0.9.1+cpu Downloading https://download.pytorch.org/whl/cpu/torchvision-0.9.1%2Bcpu-cp38-cp38-linux_x86_64.whl (13.3 MB) |████████████████████████████████| 13.3 MB 5.0 MB/s Collecting torchaudio==0.8.1 Downloading torchaudio-0.8.1-cp38-cp38-manylinux1_x86_64.whl (1.9 MB) |████████████████████████████████| 1.9 MB 1.5 MB/s Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from torch==1.8.1+cpu) (1.18.5) Requirement already satisfied: typing-extensions in /usr/local/lib/python3.8/dist-packages (from torch==1.8.1+cpu) (3.7.4.3) Requirement already satisfied: pillow>=4.1.1 in /usr/lib/python3/dist-packages (from torchvision==0.9.1+cpu) (7.0.0) Installing collected packages: torch, torchvision, torchaudio WARNING: The scripts convert-caffe2-to-onnx and convert-onnx-to-caffe2 are installed in '/home/mizutu/.local/bin' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. Successfully installed torch-1.8.1+cpu torchaudio-0.8.1 torchvision-0.9.1+cpu
$ pip3 install scipy Defaulting to user installation because normal site-packages is not writeable Collecting scipy Downloading scipy-1.6.2-cp38-cp38-manylinux1_x86_64.whl (27.2 MB) |████████████████████████████████| 27.2 MB 434 kB/s Requirement already satisfied: numpy<1.23.0,>=1.16.5 in /usr/local/lib/python3.8/dist-packages (from scipy) (1.18.5) Installing collected packages: scipy Successfully installed scipy-1.6.2
$ sudo usermod -a -G users "$(whoami)" $ sudo cp /opt/intel/openvino_2021/inference_engine/external/97-myriad-usbboot.rules /etc/udev/rules.d/ $ sudo udevadm control --reload-rules $ sudo udevadm trigger $ sudo ldconfig
$ lsusb Bus 001 Device 002: ID 03e7:2485 Intel Movidius MyriadX Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 002: ID 80ee:0021 VirtualBox USB Tablet Bus 002 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub $ id mizutu uid=1000(mizutu) gid=1000(mizutu) groups=1000(mizutu),4(adm),24(cdrom),27(sudo),30(dip),46(plugdev),100(users),120(lpadmin),131(lxd),132(sambashare)
$ cd /opt/intel/openvino_2021/deployment_tools/demo $ ./demo_security_barrier_camera.sh
$ ./demo_squeezenet_download_convert_run.sh
$ ./demo_benchmark_app.sh
$ df -h Filesystem Size Used Avail Use% Mounted on udev 965M 0 965M 0% /dev tmpfs 199M 1.4M 198M 1% /run /dev/sda5 251G 15G 224G 7% / tmpfs 994M 0 994M 0% /dev/shm tmpfs 5.0M 4.0K 5.0M 1% /run/lock tmpfs 994M 0 994M 0% /sys/fs/cgroup /dev/loop0 56M 56M 0 100% /snap/core18/1988 /dev/loop1 219M 219M 0 100% /snap/gnome-3-34-1804/66 /dev/loop2 65M 65M 0 100% /snap/gtk-common-themes/1514 /dev/loop3 52M 52M 0 100% /snap/snap-store/518 /dev/loop4 32M 32M 0 100% /snap/snapd/11036 /dev/sda1 511M 4.0K 511M 1% /boot/efi tmpfs 199M 24K 199M 1% /run/user/1000およそ 15GB を使用しているよう。
$ cd ~/openvino_models $ python3 /opt/intel/openvino_2021/deployment_tools/tools/model_downloader/downloader.py --allダウンロードされたモデルは、./public ./intel ディレクトリ配下に格納される。
$ python3 /opt/intel/openvino_2021/deployment_tools/tools/model_downloader/converter.py --all : [ SUCCESS ] Total execution time: 32.49 seconds. [ SUCCESS ] Memory consumed: 1783 MB. FAILED: cocosnet efficientdet-d0-tf efficientdet-d1-tf googlenet-v3-pytorch regnetx-3.2gf rexnet-v1-x1.0コンバートできないモデルは 6
~/model/intel/FP16 ~/model/intel/FP32 ~/model/public/FP16 ~/model/public/FP32
詳しくは ここ を参照。
オフィシャルサイト Open Model Zoo Demos の手順で付属のデモを構築する。
$ cd /opt/intel/openvino_2021/deployment_tools/open_model_zoo/demos $ ./build_demos.sh -DENABLE_PYTHON=ONC++ デモソフトは ~/omz_demos_build/intel64/Release/ に構築される。
~/omz_demos_build/omz_demos.sh #!/bin/sh echo [OMZ_demos.sh] Open Model Zoo Demos environment initialized export PYTHONPATH=$PYTHONPATH:/opt/intel/openvino_2021/deployment_tools/open_model_zoo/demos/python_demos/common
Virtual Box 上の ubuntu で MYRIAD (NCS2) デバイスを使用するアプリケーションで下記エラーとなる。
[ ERROR ] Can not init Myriad device: NC_ERROR
$ ./virtual_fitting_16.sh 0 cam [virtual_fitting_16.sh] virtual_Fitting.py (MYRIAD) Run !! itemidx.: 0 program : virtual_fitting.py model1. : -m_dt /home/mizutu/model/intel/FP16/face-detection-retail-0005.xml model2. : -m_lm /home/mizutu/model/intel/FP16/landmarks-regression-retail-0009.xml device. : MYRIAD input.. : -i cam output. : --- Virtual Fitting --- 4.5.2-openvino OpenVINO inference_engine: 2.1.2021.3.0-2787-60059f2c755-releases/2021/3 virtual_fitting.py:145: DeprecationWarning: 'inputs' property of IENetwork class is deprecated. To access DataPtrs user need to use 'input_data' property of InputInfoPtr objects which can be accessed by 'input_info' property. input_blob_face = next(iter(net_face.inputs)) Virtual Fitting: Starting application... - Item File : ../../Images/parts/glass01.png - Image File : 0 - m_detect : /home/mizutu/model/intel/FP16/face-detection-retail-0005.xml - m_recognition: /home/mizutu/model/intel/FP16/landmarks-regression-retail-0009.xml - Device : MYRIAD - Program Title: y - Processed out: non Finished.
$ cd ~/run_app/ $ ./_human_pose_estimation_3d_demo.sh [human_pose_estimation_3d_demo.sh] 'human_pose_estimation_3d_demo' Run !!
$ cd ~/run_app/ $ ./_human_pose_estimation_3d_demo_16.sh [human_pose_estimation_3d_demo_16.sh] 'human_pose_estimation_3d_demo_16' Run !!
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
fps | 13.5 | 6.6 | 1.1 | 3.9 | 1.5 | 1.4 | 2.5 |
$ cd ~/run_app/ $ ./_action_recognition.sh [action_recognition.sh] 'action_recognition' 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% -- 82.12ms Frame 16: Safe driving - 87.28% -- 118.02ms : : Frame 41: Safe driving - 92.75% -- 264.68ms Frame 42: Safe driving - 93.13% -- 261.15ms finishing <action_recognition_demo.steps.RenderStep object at 0x7f6eb5b63f40> Data total: 8.23ms (+/-: 6.66) 121.57fps Data own: 8.08ms (+/-: 6.70) 123.78fps Encoder total: 118.25ms (+/-: 32.23) 8.46fps Encoder own: 118.23ms (+/-: 32.23) 8.46fps Decoder total: 99.95ms (+/-: 64.47) 10.00fps Decoder own: 99.94ms (+/-: 64.47) 10.01fps Render total: 312.67ms (+/-: 165.61) 3.20fps Render own: 312.15ms (+/-: 155.97) 3.20fps
$ cd ~/run_app/ $ ./_action_recognition_16.sh [action_recognition_16.sh] 'action_recognition (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% -- 22.77ms Frame 16: Safe driving - 86.75% -- 33.15ms : : Frame 260: Safe driving - 77.23% -- 42.88ms Frame 261: Safe driving - 76.42% -- 41.39ms finishing <action_recognition_demo.steps.RenderStep object at 0x7ff7df8a9160> Data total: 13.30ms (+/-: 11.29) 75.18fps Data own: 13.21ms (+/-: 11.33) 75.70fps Encoder total: 17.03ms (+/-: 8.29) 58.70fps Encoder own: 16.95ms (+/-: 8.25) 58.99fps Decoder total: 29.80ms (+/-: 16.25) 33.56fps Decoder own: 29.77ms (+/-: 16.25) 33.59fps Render total: 102.85ms (+/-: 101.24) 9.72fps Render own: 101.92ms (+/-: 98.33) 9.81fps
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 | |
Data totai | fps | 1152 | 146 | 99 | 84 | 642 | 122 | 75 |
ms | 0.87 | 10 | 10 | 12 | 1.56 | 6.66 | 11.3 | |
Encoder total | fps | 235 | 95 | 11 | 175 | 21.4 | 10 | 58.7 |
ms | 4.3 | 10.5 | 91 | 5.7 | 46.8 | 64.5 | 8.3 | |
Decoder total | fps | 44 | 20 | 2.5 | 53 | 7.9 | 10 | 33.6 |
ms | 23 | 50 | 400 | 19 | 126 | 64.5 | 16.3 | |
Render total | fps | 27 | 15 | 2.0 | 26.6 | 4.66 | 3.2 | 9.72 |
ms | 37 | 67 | 494 | 38 | 215 | 166 | 101 |
$ 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: 3010.5 ms FPS: 0.3
$ cd ~/run_app/ $ ./_object_detection_python_demo_16.sh [object_detection_demo/_16.sh] 'object_detection_demo (NCS_)' 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: 866.9 ms FPS: 1.1
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
Latency(ms) | 219.2 | 431 | 6575 | 1515 | 2623 | 3010 | 867 |
fps | 4.5 | 2.5 | 0.2 | 1.9 | 0.4 | 0.3 | 1.1 |
$ cd ~/run_app/ $ ./_human_pose_estimation.sh [human_pose_estimation.sh] 'human_pose_estimation' Run !! [ INFO ] Initializing Inference Engine... [ INFO ] Loading network... [ INFO ] Using USER_SPECIFIED mode [ INFO ] Reading network from IR... [ INFO ] Loading network to plugin... [ INFO ] Reading network from IR... [ INFO ] Loading network to plugin... [ INFO ] Starting inference... To close the application, press 'CTRL+C' here or switch to the output window and press ESC key To switch between min_latency/user_specified modes, press TAB key in the output window [ INFO ] Using MIN_LATENCY mode [ INFO ] [ INFO ] Mode: USER_SPECIFIED [ INFO ] FPS: 1.4 [ INFO ] Latency: 590.5 ms [ INFO ] [ INFO ] Mode: MIN_LATENCY [ INFO ] FPS: 1.7 [ INFO ] Latency: 560.6 ms
$ cd ~/run_app/ $ ./_human_pose_estimation_16.sh [human_pose_estimation_16.sh] 'human_pose_estimation (NCS2)' Run !! python3 human_pose_estimation.py -i /home/mizutu/Videos/driver.mp4 -m /home/mizutu/model/intel/FP16/human-pose-estimation-0001.xml -at openpose -d MYRIAD -loop 50 [ INFO ] Initializing Inference Engine... [ INFO ] Loading network... [ INFO ] Using USER_SPECIFIED mode [ INFO ] Reading network from IR... [ INFO ] Loading network to plugin... [ INFO ] Reading network from IR... [ INFO ] Loading network to plugin... [ INFO ] Starting inference... To close the application, press 'CTRL+C' here or switch to the output window and press ESC key To switch between min_latency/user_specified modes, press TAB key in the output window [ INFO ] Using MIN_LATENCY mode [ INFO ] [ INFO ] Mode: USER_SPECIFIED [ INFO ] FPS: 0.7 [ INFO ] Latency: 345.1 ms [ INFO ] [ INFO ] Mode: MIN_LATENCY [ INFO ] FPS: 2.7 [ INFO ] Latency: 346.8 ms
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 | |
USER_SPECIFIDE mode | FPS | 17.3 | 9.2 | 1.2 | 0.5 | 1.9 | 1.4 | 0.7 |
Latency (ms) | 44.1 | 104 | 714 | 236 | 534 | 591 | 345 | |
MIN_LATENCY mode | FPS | 19.9 | 9.5 | 1.2 | 3.9 | 1.7 | 1.7 | 2.7 |
Latency (ms) | 48.1 | 101 | 701 | 236.5 | 563 | 561 | 347 |
$ cd ~/run_app/ $ ./_gesture_recognition_demo.sh [gesture_recognition_demo.sh] 'gesture_recognition_demo' Run !! Traceback (most recent call last): File "/usr/lib/python3.8/multiprocessing/queues.py", line 245, in _feed send_bytes(obj) File "/usr/lib/python3.8/multiprocessing/connection.py", line 200, in send_bytes self._send_bytes(m[offset:offset + size]) File "/usr/lib/python3.8/multiprocessing/connection.py", line 405, in _send_bytes self._send(buf) File "/usr/lib/python3.8/multiprocessing/connection.py", line 368, in _send n = write(self._handle, buf) BrokenPipeError: [Errno 32] Broken pipe
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
fps | 14.3 | 8.7 | 0.95 | X | 1.9 | 0.75 | X |
fps | 14.5 | 8.8 | 0.94 | X | 1.9 | 0.75 | X |
$ 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: 2787.7955436706543 ms
$ cd ~/run_app/ $ ./_handwritten_text_recognition_demo_16.sh [handwritten_text_recognition_demo_16.sh] 'handwritten_text_recognition_demo (NCS)' 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: 1195.0263977050781 ms
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
Average throughput(ms) | 277 | 603 | 4353 | 866 | 2742 | 2788 | 1195 |
$ 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): 1421.88 0.703297 text detection postprocessing (ms) (fps): 160.75 6.22084 text recognition model inference (ms) (fps): 79.1827 12.629 text recognition postprocessing (ms) (fps): 0.0354231 28230.2 text crop (ms) (fps): 0.137048 7296.71
$ 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 ] 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): 1274.89 0.784382 text detection postprocessing (ms) (fps): 225.333 4.43787 text recognition model inference (ms) (fps): 78.7259 12.7023 text recognition postprocessing (ms) (fps): 0.0341704 29265.1 text crop (ms) (fps): 0.162741 6144.74
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 | |
detection model inference | ms | 102 | 185 | 1154 | 685 | 1079 | 1422 | 1275 |
fps | 9.8 | 5.4 | 0.87 | 1.46 | 0.93 | 0.70 | 0.78 | |
detection model postprocessing | ms | 40.4 | 69 | 148 | 154 | 111 | 161 | 225 |
fps | 24.7 | 14.4 | 6.76 | 6.50 | 9.0 | 6.22 | 4.44 | |
recognition model inference | ms | 7.1 | 14.6 | 103 | 76.0 | 77.3 | 79.1 | 78.7 |
fps | 140 | 68.7 | 9.70 | 13.2 | 12.9 | 12.6 | 12.7 | |
recognition model postprocessing | ms | 0.007 | 0.01 | 0.015 | 0.04 | 0.012 | 0.035 | 0.034 |
fps | 136364 | 91731 | 63348 | 23160 | 81328 | 28230 | 29265 |
$ 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 ^C
$ 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 ^C
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
detection time(ms) | 30 | 50.1 | 312.2 | 275.3 | 342 | 389 | 422 |
fps | 32 | 14 | 3,1 | 3.6 | 3.0 | 2.66 | 2.36 |
$ cd ~/run_app/ $ ./_human_pose_estimation_demo.sh [human_pose_estimation_demo.sh] 'human_pose_estimation_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 ] Loading model to the device [ INFO ] Metric reports: Latency: 1209.3 ms FPS: 1.6 [ INFO ] [ INFO ] The execution has completed successfully
$ cd ~/run_app/ $ ./_human_pose_estimation_demo_16.sh [human_pose_estimation_demo_16.sh] 'human_pose_estimation_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 ] Loading model to the device [ INFO ] Metric reports: Latency: 591.5 ms FPS: 7.5 [ INFO ] [ INFO ] The execution has completed successfully
※「2021.3」で変更あり。比較データ無し。
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 | |||
SYNC | OpwnCV cap/render time | ms | 5 | 9.6 | 36 | 37 | 16.5 | - | - | |
Wallclock time | ms | 45 | 100 | 710 | 248 | 510 | - | - | ||
fps | 13 | 10 | 1.4 | 4.1 | 1.93 | - | - | |||
Detection time | ms | 45 | 95 | 677 | 205 | 503 | - | - | ||
fps | 22 | 10 | 1.5 | 4.0 | 1.8 | - | - | |||
ASYNC | OpwnCV cap/render time | ms | 9 | 14 | 69 | 36 | 28 | - | - | |
Wallclock time | ms | 50 | 95 | 712 | 42 | 536 | - | - | ||
fps | 19 | 10 | 1.4 | 24 | 2.0 | - | - |
$ 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: 297.2 ms FPS: 6.1 [ INFO ] [ INFO ] The execution has completed successfully
$ 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: 360.8 ms FPS: 12.7 [ INFO ] [ INFO ] The execution has completed successfully
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
Latency(ms) | 22 | 45 | 259.3 | 145.1 | 162 | 297 | 361 |
fps | 73.0 | 42.3 | 7.5 | 13.0 | 11.8 | 6.1 | 12.7 |
$ cd ~/omz_demos_build/intel64/Release $ ./smart_classroom_demo -m_act ~/model/intel/FP32/person-detection-action-recognition-0005.xml -m_fd ~/model/intel/FP32/face-detection-adas-0001.xml -i ~/Videos/classroom_s.mp4 [ 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: 1.74649 [ INFO ] Frames processed: 954 [ INFO ] Execution successful
$ cd ~/omz_demos_build/intel64/Release $ ./smart_classroom_demo -m_act ~/model/intel/FP16/person-detection-action-recognition-0005.xml -m_fd ~/model/intel/FP16/face-detection-adas-0001.xml -i ~/Videos/classroom_s.mp4 -d_act MYRIAD -d_fd MYRIAD [ 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: 2.50199 [ INFO ] Frames processed: 44 E: [global] [ 545624] [smart_classroom] XLink_sem_wait:94 XLink_sem_inc(sem) method call failed with an error: -1 E: [global] [ 545624] [smart_classroom] XLinkResetRemote:257 can't wait dispatcherClosedSem [ INFO ] Execution successful
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
fps | 21 | 12 | 1 | 3 | 2.3 | 1.75 | 2.50 |
$ 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
$ cd ~/omz_demos_build/intel64/Release $ ./pedestrian_tracker_demo -i ~/Videos/video003_m.mp4 -m_det ~/model/intel/FP16/person-detection-retail-0013.xml -m_reid ~/model/intel/FP16/person-reidentification-retail-0288.xml -d_det MYRIAD 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 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 E: [global] [ 911266] [pedestrian_trac] XLink_sem_wait:94 XLink_sem_inc(sem) method call failed with an error: -1 E: [global] [ 911267] [pedestrian_trac] XLinkResetRemote:257 can't wait dispatcherClosedSem Execution successful※シェルスクリプト起動はうまくいかなかった。ので直接実行。
$ 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
$ 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] [ 88858] [super_resolutio] XLink_sem_wait:94 XLink_sem_inc(sem) method call failed with an error: -1 E: [global] [ 88858] [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
$ cd ~/run_app/ $ ./_single_human_pose_estimation_demo.sh [single_human_pose_estimation_demo.sh] 'single_human_pose_estimation_demo' Run !!
$ cd ~/run_app/ $ ./_single_human_pose_estimation_demo_16.sh [single_human_pose_estimation_demo_16.sh] 'single_human_pose_estimation_demo (NCS2)' Run !! Killed
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
summary (fps) | 0.9 | 0.7 | 0.1 | 0.5 | 0.2 | 0.1 | 0.6 |
estimation (fps) | 5.6 | 2.4 | 0.3 | 1.6 | 0.5 | 0.5 | 1.0 |
detection (fps) | 109.9 | 69.1 | 9.1 | 22.2 | 14.3 | 7.3 | 10.8 |
$ 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: 33 [ INFO ] Total image throughput: 1.36412 fps [ INFO ] Execution successful
$ 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: 20 [ INFO ] Total image throughput: 1.59717 fps E: [global] [ 809766] [interactive_fac] XLink_sem_wait:94 XLink_sem_inc(sem) method call failed with an error: -1 E: [global] [ 809767] [interactive_fac] XLinkResetRemote:257 can't wait dispatcherClosedSem [ INFO ] Execution successful
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
throughput (fps) | 19.3 | 9.16 | 0.45 | 0.6 | 1.9 | 1.36 | 1.60 |
$ 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
$ 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] [ 10488] [Scheduler00Thr] dispatcherEventSend:53 Write failed (header) (err -4) | event XLINK_READ_REL_RESP E: [xLink] [ 10491] [Scheduler00Thr] sendEvents:998 Event sending failed E: [global] [ 10493] [Scheduler00Thr] dispatcherEventSend:53 Write failed (header) (err -4) | event XLINK_WRITE_REQ : : E: [global] [ 10544] [gaze_estimation] XLinkReadData:156 Condition failed: (addEventWithPerf(&event, &opTime)) E: [ncAPI] [ 10544] [gaze_estimation] getGraphMonitorResponseValue:1905 XLink error, rc: X_LINK_ERROR *** stack smashing detected ***: terminated Aborted (core dumped)
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
Overeli (fps) | 110 | 63 | 5 | 5 | 14 | 9 | 11 |
Interface (fps) | 202 | 106 | 5 | 7 | 16 | 12 | 19 |
$ 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 14.8FPS for (375 / 1) frames Detection InferRequests usage: 100.0% [ INFO ] Execution successful
$ 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 20.6FPS for (375 / 1) frames Detection InferRequests usage: 100.0% E: [global] [ 381468] [security_barrie] XLink_sem_wait:94 XLink_sem_inc(sem) method call failed with an error: -1 E: [global] [ 381469] [security_barrie] XLinkResetRemote:257 can't wait dispatcherClosedSem [ INFO ] Execution successful
項目 | Core™ i5-10210 | Hyper-V Core™ i7-6700 | Celeron® J4005 | Celeron® J4005 + NCS2 | Hyper-v Core™ i7-2620M | VirtualBox Core™ i7-2620M | VirtualBox Core™ i7-2620M + NCS2 |
fps | 164.5 | 106 | 11.7 | 24.7 | 25.9 | 14.8 | 20.6 |