私的AI研究会 > NUCGen11
第11世代の Intel® Core™ i7 CPU と Intel® Iris® Xe Graphics (GPU) を搭載した「DELL Latitude 7520」に、OpenVINO™ Toolkit をインストールして 「AIエッジコンピューティング」を実践する。第11世代 CPU と GPU の速度を試す。
最新版「2021.3」をインストールする。
$ sudo apt update ... $ sudo apt install -y fonts-noto
$ sudo apt install gnome-tweaks
$ 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 autoindentsudo 付きで vi を実行した場合は、root の設定が使用されるので、rootの .vimrcを ~/vimrc のシンボリックリンクにする。
$ sudo ln -s ~/.vimrc /root/.vimrc $ sudo ls -la /root 合計 24 drwx------ 4 root root 4096 3月 31 19:07 . drwxr-xr-x 20 root root 4096 3月 31 17:29 .. -rw-r--r-- 1 root root 3106 12月 5 2019 .bashrc drwx------ 2 root root 4096 2月 10 03:51 .cache -rw-r--r-- 1 root root 161 12月 5 2019 .profile lrwxrwxrwx 1 root root 19 3月 31 19:07 .vimrc -> /home/mizutu/.vimrc drwxr-xr-x 3 root root 4096 3月 31 17:33 snap
$ sudo gsettings set org.gnome.Vino require-encryption false確認
$ gsettings list-recursively org.gnome.Vino org.gnome.Vino prompt-enabled false org.gnome.Vino require-encryption true <==ここが falseに! org.gnome.Vino use-alternative-port false :設定できていないので
$ DISPLAY=:0 gsettings set org.gnome.Vino require-encryption falseVNCビューアから接続<IPアドレス>:5900
$ cd ダウンロード $ ls l_openvino_toolkit_p_2021.2.185.tgz $ tar -xvzf l_openvino_toolkit_p_2021.3.394.tgz
$ cd l_openvino_toolkit_p_2021.3.394 $ sudo ./install_GUI.shGUI のインストール手順に従いインストールを進める。
$ 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。
[setupvars.sh] OpenVINO environment initialized
$ cd /opt/intel/openvino_2021/deployment_tools/model_optimizer/install_prerequisites $ sudo ./install_prerequisites.sh
$ 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
$ pip3 install scipy
$ cd /opt/intel/openvino_2021/install_dependencies/ $ sudo -E su # ./install_NEO_OCL_driver.sh途中でドライバを新しくするかを聞いてくる。そのまま古いのを使うか?という質問なので「n」と回答。(ややこしい!!)
Intel® Graphics Compute Runtime for OpenCL™ Driver installer Checking current driver version... WARNING: apt does not have a stable CLI interface. Use with caution in scripts. Checking processor generation... install_NEO_OCL_driver.sh: Detected 10th generation Intel® Core™ processor (formerly Ice Lake) or 11th generation Intel® Core™ processor (formerly Tiger Lake). Driver version 20.35.17767 is going to be installed to fully utilize hardware features and performance. You are still able to use the older version 19.41.14441. Use the older driver? (y/n) [n] n Starting installation... This script will download and install Intel(R) Graphics Compute Runtime 20.35.17767, that was used to validate this OpenVINO™ package. In case if you already have the driver - script will try to remove it. Want to proceed? (y/n): y Looking for previously installed user-mode driver... Found installed user-mode driver, performing uninstall... apt-get autoremove -y intel-opencl パッケージリストを読み込んでいます... 完了 依存関係ツリーを作成しています 状態情報を読み取っています... 完了 以下のパッケージは「削除」されます: apt-clone archdetect-deb dctrl-tools dmraid gir1.2-timezonemap-1.0 gir1.2-xkl-1.0 intel-opencl kpartx kpartx-boot libdebian-installer4 libdmraid1.0.0.rc16 libllvm10 libtimezonemap-data libtimezonemap1 python3-icu python3-pam rdate アップグレード: 0 個、新規インストール: 0 個、削除: 17 個、保留: 0 個。 この操作後に 86.8 MB のディスク容量が解放されます。 (データベースを読み込んでいます ... 現在 248483 個のファイルとディレクトリがインストールされています。) apt-clone (0.4.1ubuntu3) を削除しています ... archdetect-deb (1.117ubuntu7) を削除しています ... dctrl-tools (2.24-3) を削除しています ... dmraid (1.0.0.rc16-8ubuntu3) を削除しています ... update-initramfs: deferring update (trigger activated) gir1.2-timezonemap-1.0 (0.4.6-2) を削除しています ... gir1.2-xkl-1.0:amd64 (5.4-4) を削除しています ... intel-opencl (19.41.14441) を削除しています ... kpartx-boot (0.8.3-1ubuntu2) を削除しています ... update-initramfs: deferring update (trigger activated) kpartx (0.8.3-1ubuntu2) を削除しています ... libdebian-installer4:amd64 (0.110ubuntu3) を削除しています ... libdmraid1.0.0.rc16 (1.0.0.rc16-8ubuntu3) を削除しています ... libllvm10:amd64 (1:10.0.0-4ubuntu1) を削除しています ... libtimezonemap1:amd64 (0.4.6-2) を削除しています ... libtimezonemap-data (0.4.6-2) を削除しています ... python3-icu (2.4.2-0ubuntu3) を削除しています ... python3-pam (0.4.2-13.2ubuntu8) を削除しています ... rdate (1:1.10-2) を削除しています ... libc-bin (2.31-0ubuntu9.2) のトリガを処理しています ... man-db (2.9.1-1) のトリガを処理しています ... initramfs-tools (0.136ubuntu6.4) のトリガを処理しています ... update-initramfs: Generating /boot/initrd.img-5.10.0-1026-oem W: Possible missing firmware /lib/firmware/i915/tgl_huc_7.5.0.bin for module i915 W: Possible missing firmware /lib/firmware/i915/tgl_huc_7.5.0.bin for module i915 Found installed user-mode driver, performing uninstall... apt-get autoremove -y intel-ocloc パッケージリストを読み込んでいます... 完了 依存関係ツリーを作成しています 状態情報を読み取っています... 完了 以下のパッケージは「削除」されます: intel-ocloc アップグレード: 0 個、新規インストール: 0 個、削除: 1 個、保留: 0 個。 この操作後に 323 kB のディスク容量が解放されます。 (データベースを読み込んでいます ... 現在 248303 個のファイルとディレクトリがインストールされています。) intel-ocloc (19.41.14441) を削除しています ... libc-bin (2.31-0ubuntu9.2) のトリガを処理しています ... Found installed user-mode driver, performing uninstall... apt-get autoremove -y intel-gmmlib パッケージリストを読み込んでいます... 完了 依存関係ツリーを作成しています 状態情報を読み取っています... 完了 以下のパッケージは「削除」されます: intel-gmmlib アップグレード: 0 個、新規インストール: 0 個、削除: 1 個、保留: 0 個。 この操作後に 4636 kB のディスク容量が解放されます。 (データベースを読み込んでいます ... 現在 248302 個のファイルとディレクトリがインストールされています。) intel-gmmlib (19.3.2) を削除しています ... libc-bin (2.31-0ubuntu9.2) のトリガを処理しています ... Found installed user-mode driver, performing uninstall... apt-get autoremove -y intel-igc-core パッケージリストを読み込んでいます... 完了 依存関係ツリーを作成しています 状態情報を読み取っています... 完了 以下のパッケージは「削除」されます: intel-igc-core intel-igc-opencl アップグレード: 0 個、新規インストール: 0 個、削除: 2 個、保留: 0 個。 この操作後に 297 MB のディスク容量が解放されます。 (データベースを読み込んでいます ... 現在 248300 個のファイルとディレクトリがインストールされています。) intel-igc-opencl (1.0.2597) を削除しています ... intel-igc-core (1.0.2597) を削除しています ... dpkg: 警告: intel-igc-core の削除中、ディレクトリ '/usr/local/lib' が空でないため削除できませんでした Found installed user-mode driver, performing uninstall... apt-get autoremove -y intel-igc-opencl パッケージリストを読み込んでいます... 完了 依存関係ツリーを作成しています 状態情報を読み取っています... 完了 パッケージ 'intel-igc-opencl' はインストールされていないため削除もされません アップグレード: 0 個、新規インストール: 0 個、削除: 0 個、保留: 0 個。 Installing prerequisites... apt-get -y update 取得:1 http://dl.google.com/linux/chrome/deb stable InRelease [1811 B] 取得:2 http://dl.google.com/linux/chrome/deb stable/main amd64 Packages [1097 B] 取得:3 http://security.ubuntu.com/ubuntu focal-security InRelease [109 kB] ヒット:4 http://oem.archive.canonical.com focal InRelease ヒット:5 http://dell.archive.canonical.com focal InRelease ヒット:6 http://archive.canonical.com/ubuntu focal InRelease ヒット:7 http://archive.ubuntu.com/ubuntu focal InRelease 取得:8 http://archive.ubuntu.com/ubuntu focal-updates InRelease [114 kB] 取得:9 http://security.ubuntu.com/ubuntu focal-security/main i386 Packages [229 kB] 取得:10 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [654 kB] 取得:11 http://archive.ubuntu.com/ubuntu focal-backports InRelease [101 kB] 取得:12 http://security.ubuntu.com/ubuntu focal-security/main amd64 DEP-11 Metadata [24.4 kB] 取得:13 http://security.ubuntu.com/ubuntu focal-security/main amd64 c-n-f Metadata [7488 B] 取得:14 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [565 kB] 取得:15 http://archive.ubuntu.com/ubuntu focal-updates/main i386 Packages [474 kB] 取得:16 http://security.ubuntu.com/ubuntu focal-security/universe i386 Packages [448 kB] 取得:17 http://security.ubuntu.com/ubuntu focal-security/universe amd64 DEP-11 Metadata [58.3 kB] 取得:18 http://security.ubuntu.com/ubuntu focal-security/universe amd64 c-n-f Metadata [11.0 kB] 取得:19 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [982 kB] 取得:20 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 DEP-11 Metadata [265 kB] 取得:21 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 c-n-f Metadata [13.3 kB] 取得:22 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [773 kB] 取得:23 http://archive.ubuntu.com/ubuntu focal-updates/universe i386 Packages [571 kB] 取得:24 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 DEP-11 Metadata [303 kB] 取得:25 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 c-n-f Metadata [17.3 kB] 取得:26 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 DEP-11 Metadata [2468 B] 取得:27 http://archive.ubuntu.com/ubuntu focal-backports/universe amd64 DEP-11 Metadata [1768 B] 5727 kB を 4秒 で取得しました (1525 kB/s) パッケージリストを読み込んでいます... 完了 apt-get -y install --no-install-recommends libnuma1 ocl-icd-libopencl1 パッケージリストを読み込んでいます... 完了 依存関係ツリーを作成しています 状態情報を読み取っています... 完了 libnuma1 はすでに最新バージョン (2.0.12-1) です。 ocl-icd-libopencl1 はすでに最新バージョン (2.2.11-1ubuntu1) です。 アップグレード: 0 個、新規インストール: 0 個、削除: 0 個、保留: 1 個。 % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 637 100 637 0 0 2181 0 --:--:-- --:--:-- --:--:-- 2174 100 109k 100 109k 0 0 181k 0 --:--:-- --:--:-- --:--:-- 181k % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 641 100 641 0 0 2158 0 --:--:-- --:--:-- --:--:-- 2158 100 18.0M 100 18.0M 0 0 13.0M 0 0:00:01 0:00:01 --:--:-- 23.4M % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 643 100 643 0 0 2232 0 --:--:-- --:--:-- --:--:-- 2224 100 27.2M 100 27.2M 0 0 11.0M 0 0:00:02 0:00:02 --:--:-- 23.3M % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 642 100 642 0 0 1251 0 --:--:-- --:--:-- --:--:-- 1251 100 1006k 100 1006k 0 0 1173k 0 --:--:-- --:--:-- --:--:-- 13.3M % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 641 100 641 0 0 1990 0 --:--:-- --:--:-- --:--:-- 1990 100 184k 100 184k 0 0 299k 0 --:--:-- --:--:-- --:--:-- 299k % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 648 100 648 0 0 2257 0 --:--:-- --:--:-- --:--:-- 2250 100 1116k 100 1116k 0 0 1649k 0 --:--:-- --:--:-- --:--:-- 1649k % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 616 100 616 0 0 2124 0 --:--:-- --:--:-- --:--:-- 2131 100 606 100 606 0 0 923 0 --:--:-- --:--:-- --:--:-- 0 intel-gmmlib_20.2.4_amd64.deb: OK intel-igc-core_1.0.4756_amd64.deb: OK intel-igc-opencl_1.0.4756_amd64.deb: OK intel-level-zero-gpu_1.0.17767_amd64.deb: OK intel-ocloc_20.35.17767_amd64.deb: OK intel-opencl_20.35.17767_amd64.deb: OK Installing user mode driver... dpkg -i intel*.deb 以前に未選択のパッケージ intel-gmmlib を選択しています。 (データベースを読み込んでいます ... 現在 248288 個のファイルとディレクトリがインストールされています。) intel-gmmlib_20.2.4_amd64.deb を展開する準備をしています ... intel-gmmlib (20.2.4) を展開しています... 以前に未選択のパッケージ intel-igc-core を選択しています。 intel-igc-core_1.0.4756_amd64.deb を展開する準備をしています ... intel-igc-core (1.0.4756) を展開しています... 以前に未選択のパッケージ intel-igc-opencl を選択しています。 intel-igc-opencl_1.0.4756_amd64.deb を展開する準備をしています ... intel-igc-opencl (1.0.4756) を展開しています... 以前に未選択のパッケージ intel-level-zero-gpu を選択しています。 intel-level-zero-gpu_1.0.17767_amd64.deb を展開する準備をしています ... intel-level-zero-gpu (1.0.17767) を展開しています... 以前に未選択のパッケージ intel-ocloc を選択しています。 intel-ocloc_20.35.17767_amd64.deb を展開する準備をしています ... intel-ocloc (20.35.17767) を展開しています... 以前に未選択のパッケージ intel-opencl を選択しています。 intel-opencl_20.35.17767_amd64.deb を展開する準備をしています ... intel-opencl (20.35.17767) を展開しています... intel-gmmlib (20.2.4) を設定しています ... intel-igc-core (1.0.4756) を設定しています ... intel-igc-opencl (1.0.4756) を設定しています ... intel-level-zero-gpu (1.0.17767) を設定しています ... intel-ocloc (20.35.17767) を設定しています ... intel-opencl (20.35.17767) を設定しています ... libc-bin (2.31-0ubuntu9.2) のトリガを処理しています ... /opt/intel/openvino_2021/install_dependencies Adding mizutu to the video group... Adding mizutu to the render group... Installation completed successfully. Next steps: Add OpenCL users to the video and render group: 'sudo usermod -a -G video,render USERNAME' e.g. if the user running OpenCL host applications is foo, run: sudo usermod -a -G video,render foo Current user has been already added to the video and render group If you use 8th Generation Intel® Core™ processor, add: i915.alpha_support=1 to the 4.14 kernel command line, in order to enable OpenCL functionality for this platform. #exit
$ cd /opt/intel/openvino_2021/deployment_tools/demo $ ./demo_security_barrier_camera.sh
Run Inference Engine security_barrier_camera demo Run ./security_barrier_camera_demo -d CPU -d_va CPU -d_lpr CPU -i /opt/intel/openvino_2021/deployment_tools/demo/car_1.bmp -m /home/mizutu/openvino_models/ir/intel/vehicle-license-plate-detection-barrier-0106/FP16/vehicle-license-plate-detection-barrier-0106.xml -m_lpr /home/mizutu/openvino_models/ir/intel/license-plate-recognition-barrier-0001/FP16/license-plate-recognition-barrier-0001.xml -m_va /home/mizutu/openvino_models/ir/intel/vehicle-attributes-recognition-barrier-0039/FP16/vehicle-attributes-recognition-barrier-0039.xml [ INFO ] InferenceEngine: API version ......... 2.1 Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3 [ INFO ] Files were added: 1 [ INFO ] /opt/intel/openvino_2021/deployment_tools/demo/car_1.bmp [ 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 ] 4 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 0.7FPS for (3 / 1) frames Detection InferRequests usage: 0.0% [ INFO ] Execution successful ################################################### Demo completed successfully.
$ cd /opt/intel/openvino_2021/deployment_tools/demo $ ./demo_squeezenet_download_convert_run.sh
Run Inference Engine classification sample Run ./classification_sample_async -d CPU -i /opt/intel/openvino_2021/deployment_tools/demo/car.png -m /home/mizutu/openvino_models/ir/public/squeezenet1.1/FP16/squeezenet1.1.xml [ INFO ] InferenceEngine: API version ............ 2.1 Build .................. 2021.3.0-2787-60059f2c755-releases/2021/3 Description ....... API [ INFO ] Parsing input parameters [ INFO ] Parsing input parameters [ INFO ] Files were added: 1 [ INFO ] /opt/intel/openvino_2021/deployment_tools/demo/car.png [ INFO ] Creating Inference Engine CPU MKLDNNPlugin version ......... 2.1 Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3 [ INFO ] Loading network files [ INFO ] Preparing input blobs [ WARNING ] Image is resized from (787, 259) to (227, 227) [ INFO ] Batch size is 1 [ INFO ] Loading model to the device [ INFO ] Create infer request [ INFO ] Start inference (10 asynchronous executions) [ INFO ] Completed 1 async request execution [ INFO ] Completed 2 async request execution [ INFO ] Completed 3 async request execution [ INFO ] Completed 4 async request execution [ INFO ] Completed 5 async request execution [ INFO ] Completed 6 async request execution [ INFO ] Completed 7 async request execution [ INFO ] Completed 8 async request execution [ INFO ] Completed 9 async request execution [ INFO ] Completed 10 async request execution [ INFO ] Processing output blobs Top 10 results: Image /opt/intel/openvino_2021/deployment_tools/demo/car.png classid probability label ------- ----------- ----- 817 0.6853030 sports car, sport car 479 0.1835197 car wheel 511 0.0917197 convertible 436 0.0200694 beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon 751 0.0069604 racer, race car, racing car 656 0.0044177 minivan 717 0.0024739 pickup, pickup truck 581 0.0017788 grille, radiator grille 468 0.0013083 cab, hack, taxi, taxicab 661 0.0007443 Model T [ INFO ] Execution successful [ INFO ] This sample is an API example, for any performance measurements please use the dedicated benchmark_app tool ################################################### Demo completed successfully.
$ cd /opt/intel/openvino_2021/deployment_tools/demo $ ./demo_benchmark_app.sh
Run ./benchmark_app -d CPU -i /opt/intel/openvino_2021/deployment_tools/demo/car.png -m /home/mizutu/openvino_models/ir/public/squeezenet1.1/FP16/squeezenet1.1.xml -pc -niter 1000 [Step 1/11] Parsing and validating input arguments [ INFO ] Parsing input parameters [ INFO ] Files were added: 1 [ INFO ] /opt/intel/openvino_2021/deployment_tools/demo/car.png [Step 2/11] Loading Inference Engine [ INFO ] InferenceEngine: API version ............ 2.1 Build .................. 2021.3.0-2787-60059f2c755-releases/2021/3 Description ....... API [ INFO ] Device info: CPU MKLDNNPlugin version ......... 2.1 Build ........... 2021.3.0-2787-60059f2c755-releases/2021/3 [Step 3/11] Setting device configuration [ WARNING ] -nstreams default value is determined automatically for CPU device. Although the automatic selection usually provides a reasonable performance, but it still may be non-optimal for some cases, for more information look at README. [Step 4/11] Reading network files [ INFO ] Loading network files [ INFO ] Read network took 8.62 ms [Step 5/11] Resizing network to match image sizes and given batch [ INFO ] Network batch size: 1 [Step 6/11] Configuring input of the model [Step 7/11] Loading the model to the device [ INFO ] Load network took 129.60 ms [Step 8/11] Setting optimal runtime parameters [Step 9/11] Creating infer requests and filling input blobs with images [ INFO ] Network input 'data' precision U8, dimensions (NCHW): 1 3 227 227 [ WARNING ] Some image input files will be duplicated: 4 files are required but only 1 are provided [ INFO ] Infer Request 0 filling [ INFO ] Prepare image /opt/intel/openvino_2021/deployment_tools/demo/car.png [ WARNING ] Image is resized from (787, 259) to (227, 227) [ INFO ] Infer Request 1 filling [ INFO ] Prepare image /opt/intel/openvino_2021/deployment_tools/demo/car.png [ WARNING ] Image is resized from (787, 259) to (227, 227) [ INFO ] Infer Request 2 filling [ INFO ] Prepare image /opt/intel/openvino_2021/deployment_tools/demo/car.png [ WARNING ] Image is resized from (787, 259) to (227, 227) [ INFO ] Infer Request 3 filling [ INFO ] Prepare image /opt/intel/openvino_2021/deployment_tools/demo/car.png [ WARNING ] Image is resized from (787, 259) to (227, 227) [Step 10/11] Measuring performance (Start inference asynchronously, 4 inference requests using 4 streams for CPU, limits: 1000 iterations) [ INFO ] First inference took 9.82 ms [Step 11/11] Dumping statistics report [ INFO ] Performance counts for 0-th infer request: data/mean_const_biases NOT_RUN layerType: Const realTime: 0 cpu: 0 execType: unknown_FP32 data/mean_const_weights NOT_RUN layerType: Const realTime: 0 cpu: 0 execType: unknown_FP32 data/mean EXECUTED layerType: ScaleShift realTime: 106 cpu: 106 execType: jit_avx512_I8 conv1 EXECUTED layerType: Convolution realTime: 692 cpu: 692 execType: jit_avx512_FP32 relu_conv1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef pool1 EXECUTED layerType: Pooling realTime: 254 cpu: 254 execType: jit_avx512_FP32 fire2/squeeze1x1 EXECUTED layerType: Convolution realTime: 83 cpu: 83 execType: jit_avx512_1x1_FP32 fire2/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/expand1x1 EXECUTED layerType: Convolution realTime: 79 cpu: 79 execType: jit_avx512_1x1_FP32 fire2/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/expand3x3 EXECUTED layerType: Convolution realTime: 650 cpu: 650 execType: jit_avx512_FP32 fire2/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/concat EXECUTED layerType: Concat realTime: 4 cpu: 4 execType: unknown_FP32 fire3/squeeze1x1 EXECUTED layerType: Convolution realTime: 167 cpu: 167 execType: jit_avx512_1x1_FP32 fire3/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/expand1x1 EXECUTED layerType: Convolution realTime: 82 cpu: 82 execType: jit_avx512_1x1_FP32 fire3/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/expand3x3 EXECUTED layerType: Convolution realTime: 658 cpu: 658 execType: jit_avx512_FP32 fire3/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/concat EXECUTED layerType: Concat realTime: 3 cpu: 3 execType: unknown_FP32 pool3 EXECUTED layerType: Pooling realTime: 76 cpu: 76 execType: jit_avx512_FP32 fire4/squeeze1x1 EXECUTED layerType: Convolution realTime: 74 cpu: 74 execType: jit_avx512_1x1_FP32 fire4/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/expand1x1 EXECUTED layerType: Convolution realTime: 79 cpu: 79 execType: jit_avx512_1x1_FP32 fire4/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/expand3x3 EXECUTED layerType: Convolution realTime: 620 cpu: 620 execType: jit_avx512_FP32 fire4/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire5/squeeze1x1 EXECUTED layerType: Convolution realTime: 152 cpu: 152 execType: jit_avx512_1x1_FP32 fire5/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/expand1x1 EXECUTED layerType: Convolution realTime: 77 cpu: 77 execType: jit_avx512_1x1_FP32 fire5/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/expand3x3 EXECUTED layerType: Convolution realTime: 614 cpu: 614 execType: jit_avx512_FP32 fire5/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 pool5 EXECUTED layerType: Pooling realTime: 35 cpu: 35 execType: jit_avx512_FP32 fire6/squeeze1x1 EXECUTED layerType: Convolution realTime: 57 cpu: 57 execType: jit_avx512_1x1_FP32 fire6/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/expand1x1 EXECUTED layerType: Convolution realTime: 58 cpu: 58 execType: jit_avx512_1x1_FP32 fire6/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/expand3x3 EXECUTED layerType: Convolution realTime: 324 cpu: 324 execType: jit_avx512_FP32 fire6/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire7/squeeze1x1 EXECUTED layerType: Convolution realTime: 82 cpu: 82 execType: jit_avx512_1x1_FP32 fire7/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/expand1x1 EXECUTED layerType: Convolution realTime: 49 cpu: 49 execType: jit_avx512_1x1_FP32 fire7/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/expand3x3 EXECUTED layerType: Convolution realTime: 326 cpu: 326 execType: jit_avx512_FP32 fire7/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire8/squeeze1x1 EXECUTED layerType: Convolution realTime: 112 cpu: 112 execType: jit_avx512_1x1_FP32 fire8/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/expand1x1 EXECUTED layerType: Convolution realTime: 77 cpu: 77 execType: jit_avx512_1x1_FP32 fire8/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/expand3x3 EXECUTED layerType: Convolution realTime: 573 cpu: 573 execType: jit_avx512_FP32 fire8/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire9/squeeze1x1 EXECUTED layerType: Convolution realTime: 155 cpu: 155 execType: jit_avx512_1x1_FP32 fire9/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/expand1x1 EXECUTED layerType: Convolution realTime: 77 cpu: 77 execType: jit_avx512_1x1_FP32 fire9/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/expand3x3 EXECUTED layerType: Convolution realTime: 583 cpu: 583 execType: jit_avx512_FP32 fire9/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 conv10 EXECUTED layerType: Convolution realTime: 2170 cpu: 2170 execType: jit_avx512_1x1_FP32 relu_conv10 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef pool10/reduce EXECUTED layerType: Pooling realTime: 33 cpu: 33 execType: jit_avx512_FP32 pool10/reduce_aBcd16b_abcd... EXECUTED layerType: Reorder realTime: 10 cpu: 10 execType: ref_any_FP32 prob EXECUTED layerType: SoftMax realTime: 5 cpu: 5 execType: jit_avx512_FP32 out_prob NOT_RUN layerType: Output realTime: 0 cpu: 0 execType: unknown_FP32 Total time: 9208 microseconds Full device name: 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz [ INFO ] Performance counts for 1-th infer request: data/mean_const_biases NOT_RUN layerType: Const realTime: 0 cpu: 0 execType: unknown_FP32 data/mean_const_weights NOT_RUN layerType: Const realTime: 0 cpu: 0 execType: unknown_FP32 data/mean EXECUTED layerType: ScaleShift realTime: 102 cpu: 102 execType: jit_avx512_I8 conv1 EXECUTED layerType: Convolution realTime: 704 cpu: 704 execType: jit_avx512_FP32 relu_conv1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef pool1 EXECUTED layerType: Pooling realTime: 258 cpu: 258 execType: jit_avx512_FP32 fire2/squeeze1x1 EXECUTED layerType: Convolution realTime: 84 cpu: 84 execType: jit_avx512_1x1_FP32 fire2/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/expand1x1 EXECUTED layerType: Convolution realTime: 79 cpu: 79 execType: jit_avx512_1x1_FP32 fire2/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/expand3x3 EXECUTED layerType: Convolution realTime: 647 cpu: 647 execType: jit_avx512_FP32 fire2/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/concat EXECUTED layerType: Concat realTime: 4 cpu: 4 execType: unknown_FP32 fire3/squeeze1x1 EXECUTED layerType: Convolution realTime: 163 cpu: 163 execType: jit_avx512_1x1_FP32 fire3/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/expand1x1 EXECUTED layerType: Convolution realTime: 80 cpu: 80 execType: jit_avx512_1x1_FP32 fire3/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/expand3x3 EXECUTED layerType: Convolution realTime: 662 cpu: 662 execType: jit_avx512_FP32 fire3/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/concat EXECUTED layerType: Concat realTime: 3 cpu: 3 execType: unknown_FP32 pool3 EXECUTED layerType: Pooling realTime: 79 cpu: 79 execType: jit_avx512_FP32 fire4/squeeze1x1 EXECUTED layerType: Convolution realTime: 75 cpu: 75 execType: jit_avx512_1x1_FP32 fire4/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/expand1x1 EXECUTED layerType: Convolution realTime: 77 cpu: 77 execType: jit_avx512_1x1_FP32 fire4/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/expand3x3 EXECUTED layerType: Convolution realTime: 625 cpu: 625 execType: jit_avx512_FP32 fire4/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire5/squeeze1x1 EXECUTED layerType: Convolution realTime: 141 cpu: 141 execType: jit_avx512_1x1_FP32 fire5/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/expand1x1 EXECUTED layerType: Convolution realTime: 76 cpu: 76 execType: jit_avx512_1x1_FP32 fire5/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/expand3x3 EXECUTED layerType: Convolution realTime: 614 cpu: 614 execType: jit_avx512_FP32 fire5/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 pool5 EXECUTED layerType: Pooling realTime: 34 cpu: 34 execType: jit_avx512_FP32 fire6/squeeze1x1 EXECUTED layerType: Convolution realTime: 57 cpu: 57 execType: jit_avx512_1x1_FP32 fire6/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/expand1x1 EXECUTED layerType: Convolution realTime: 49 cpu: 49 execType: jit_avx512_1x1_FP32 fire6/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/expand3x3 EXECUTED layerType: Convolution realTime: 329 cpu: 329 execType: jit_avx512_FP32 fire6/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire7/squeeze1x1 EXECUTED layerType: Convolution realTime: 83 cpu: 83 execType: jit_avx512_1x1_FP32 fire7/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/expand1x1 EXECUTED layerType: Convolution realTime: 49 cpu: 49 execType: jit_avx512_1x1_FP32 fire7/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/expand3x3 EXECUTED layerType: Convolution realTime: 321 cpu: 321 execType: jit_avx512_FP32 fire7/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire8/squeeze1x1 EXECUTED layerType: Convolution realTime: 113 cpu: 113 execType: jit_avx512_1x1_FP32 fire8/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/expand1x1 EXECUTED layerType: Convolution realTime: 76 cpu: 76 execType: jit_avx512_1x1_FP32 fire8/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/expand3x3 EXECUTED layerType: Convolution realTime: 571 cpu: 571 execType: jit_avx512_FP32 fire8/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire9/squeeze1x1 EXECUTED layerType: Convolution realTime: 151 cpu: 151 execType: jit_avx512_1x1_FP32 fire9/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/expand1x1 EXECUTED layerType: Convolution realTime: 78 cpu: 78 execType: jit_avx512_1x1_FP32 fire9/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/expand3x3 EXECUTED layerType: Convolution realTime: 579 cpu: 579 execType: jit_avx512_FP32 fire9/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 conv10 EXECUTED layerType: Convolution realTime: 2178 cpu: 2178 execType: jit_avx512_1x1_FP32 relu_conv10 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef pool10/reduce EXECUTED layerType: Pooling realTime: 31 cpu: 31 execType: jit_avx512_FP32 pool10/reduce_aBcd16b_abcd... EXECUTED layerType: Reorder realTime: 11 cpu: 11 execType: ref_any_FP32 prob EXECUTED layerType: SoftMax realTime: 5 cpu: 5 execType: jit_avx512_FP32 out_prob NOT_RUN layerType: Output realTime: 0 cpu: 0 execType: unknown_FP32 Total time: 9200 microseconds Full device name: 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz [ INFO ] Performance counts for 2-th infer request: data/mean_const_biases NOT_RUN layerType: Const realTime: 0 cpu: 0 execType: unknown_FP32 data/mean_const_weights NOT_RUN layerType: Const realTime: 0 cpu: 0 execType: unknown_FP32 data/mean EXECUTED layerType: ScaleShift realTime: 110 cpu: 110 execType: jit_avx512_I8 conv1 EXECUTED layerType: Convolution realTime: 695 cpu: 695 execType: jit_avx512_FP32 relu_conv1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef pool1 EXECUTED layerType: Pooling realTime: 279 cpu: 279 execType: jit_avx512_FP32 fire2/squeeze1x1 EXECUTED layerType: Convolution realTime: 87 cpu: 87 execType: jit_avx512_1x1_FP32 fire2/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/expand1x1 EXECUTED layerType: Convolution realTime: 86 cpu: 86 execType: jit_avx512_1x1_FP32 fire2/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/expand3x3 EXECUTED layerType: Convolution realTime: 664 cpu: 664 execType: jit_avx512_FP32 fire2/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/concat EXECUTED layerType: Concat realTime: 5 cpu: 5 execType: unknown_FP32 fire3/squeeze1x1 EXECUTED layerType: Convolution realTime: 165 cpu: 165 execType: jit_avx512_1x1_FP32 fire3/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/expand1x1 EXECUTED layerType: Convolution realTime: 82 cpu: 82 execType: jit_avx512_1x1_FP32 fire3/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/expand3x3 EXECUTED layerType: Convolution realTime: 670 cpu: 670 execType: jit_avx512_FP32 fire3/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/concat EXECUTED layerType: Concat realTime: 3 cpu: 3 execType: unknown_FP32 pool3 EXECUTED layerType: Pooling realTime: 83 cpu: 83 execType: jit_avx512_FP32 fire4/squeeze1x1 EXECUTED layerType: Convolution realTime: 77 cpu: 77 execType: jit_avx512_1x1_FP32 fire4/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/expand1x1 EXECUTED layerType: Convolution realTime: 81 cpu: 81 execType: jit_avx512_1x1_FP32 fire4/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/expand3x3 EXECUTED layerType: Convolution realTime: 654 cpu: 654 execType: jit_avx512_FP32 fire4/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire5/squeeze1x1 EXECUTED layerType: Convolution realTime: 144 cpu: 144 execType: jit_avx512_1x1_FP32 fire5/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/expand1x1 EXECUTED layerType: Convolution realTime: 76 cpu: 76 execType: jit_avx512_1x1_FP32 fire5/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/expand3x3 EXECUTED layerType: Convolution realTime: 615 cpu: 615 execType: jit_avx512_FP32 fire5/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 pool5 EXECUTED layerType: Pooling realTime: 37 cpu: 37 execType: jit_avx512_FP32 fire6/squeeze1x1 EXECUTED layerType: Convolution realTime: 57 cpu: 57 execType: jit_avx512_1x1_FP32 fire6/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/expand1x1 EXECUTED layerType: Convolution realTime: 49 cpu: 49 execType: jit_avx512_1x1_FP32 fire6/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/expand3x3 EXECUTED layerType: Convolution realTime: 330 cpu: 330 execType: jit_avx512_FP32 fire6/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire7/squeeze1x1 EXECUTED layerType: Convolution realTime: 84 cpu: 84 execType: jit_avx512_1x1_FP32 fire7/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/expand1x1 EXECUTED layerType: Convolution realTime: 49 cpu: 49 execType: jit_avx512_1x1_FP32 fire7/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/expand3x3 EXECUTED layerType: Convolution realTime: 327 cpu: 327 execType: jit_avx512_FP32 fire7/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire8/squeeze1x1 EXECUTED layerType: Convolution realTime: 115 cpu: 115 execType: jit_avx512_1x1_FP32 fire8/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/expand1x1 EXECUTED layerType: Convolution realTime: 77 cpu: 77 execType: jit_avx512_1x1_FP32 fire8/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/expand3x3 EXECUTED layerType: Convolution realTime: 587 cpu: 587 execType: jit_avx512_FP32 fire8/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire9/squeeze1x1 EXECUTED layerType: Convolution realTime: 159 cpu: 159 execType: jit_avx512_1x1_FP32 fire9/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/expand1x1 EXECUTED layerType: Convolution realTime: 83 cpu: 83 execType: jit_avx512_1x1_FP32 fire9/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/expand3x3 EXECUTED layerType: Convolution realTime: 597 cpu: 597 execType: jit_avx512_FP32 fire9/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 conv10 EXECUTED layerType: Convolution realTime: 2248 cpu: 2248 execType: jit_avx512_1x1_FP32 relu_conv10 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef pool10/reduce EXECUTED layerType: Pooling realTime: 36 cpu: 36 execType: jit_avx512_FP32 pool10/reduce_aBcd16b_abcd... EXECUTED layerType: Reorder realTime: 11 cpu: 11 execType: ref_any_FP32 prob EXECUTED layerType: SoftMax realTime: 5 cpu: 5 execType: jit_avx512_FP32 out_prob NOT_RUN layerType: Output realTime: 0 cpu: 0 execType: unknown_FP32 Total time: 9439 microseconds Full device name: 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz [ INFO ] Performance counts for 3-th infer request: data/mean_const_biases NOT_RUN layerType: Const realTime: 0 cpu: 0 execType: unknown_FP32 data/mean_const_weights NOT_RUN layerType: Const realTime: 0 cpu: 0 execType: unknown_FP32 data/mean EXECUTED layerType: ScaleShift realTime: 107 cpu: 107 execType: jit_avx512_I8 conv1 EXECUTED layerType: Convolution realTime: 662 cpu: 662 execType: jit_avx512_FP32 relu_conv1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef pool1 EXECUTED layerType: Pooling realTime: 268 cpu: 268 execType: jit_avx512_FP32 fire2/squeeze1x1 EXECUTED layerType: Convolution realTime: 81 cpu: 81 execType: jit_avx512_1x1_FP32 fire2/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/expand1x1 EXECUTED layerType: Convolution realTime: 80 cpu: 80 execType: jit_avx512_1x1_FP32 fire2/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/expand3x3 EXECUTED layerType: Convolution realTime: 659 cpu: 659 execType: jit_avx512_FP32 fire2/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire2/concat EXECUTED layerType: Concat realTime: 11 cpu: 11 execType: unknown_FP32 fire3/squeeze1x1 EXECUTED layerType: Convolution realTime: 165 cpu: 165 execType: jit_avx512_1x1_FP32 fire3/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/expand1x1 EXECUTED layerType: Convolution realTime: 81 cpu: 81 execType: jit_avx512_1x1_FP32 fire3/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/expand3x3 EXECUTED layerType: Convolution realTime: 666 cpu: 666 execType: jit_avx512_FP32 fire3/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire3/concat EXECUTED layerType: Concat realTime: 3 cpu: 3 execType: unknown_FP32 pool3 EXECUTED layerType: Pooling realTime: 76 cpu: 76 execType: jit_avx512_FP32 fire4/squeeze1x1 EXECUTED layerType: Convolution realTime: 76 cpu: 76 execType: jit_avx512_1x1_FP32 fire4/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/expand1x1 EXECUTED layerType: Convolution realTime: 78 cpu: 78 execType: jit_avx512_1x1_FP32 fire4/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/expand3x3 EXECUTED layerType: Convolution realTime: 632 cpu: 632 execType: jit_avx512_FP32 fire4/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire4/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire5/squeeze1x1 EXECUTED layerType: Convolution realTime: 146 cpu: 146 execType: jit_avx512_1x1_FP32 fire5/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/expand1x1 EXECUTED layerType: Convolution realTime: 78 cpu: 78 execType: jit_avx512_1x1_FP32 fire5/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/expand3x3 EXECUTED layerType: Convolution realTime: 623 cpu: 623 execType: jit_avx512_FP32 fire5/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire5/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 pool5 EXECUTED layerType: Pooling realTime: 35 cpu: 35 execType: jit_avx512_FP32 fire6/squeeze1x1 EXECUTED layerType: Convolution realTime: 57 cpu: 57 execType: jit_avx512_1x1_FP32 fire6/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/expand1x1 EXECUTED layerType: Convolution realTime: 49 cpu: 49 execType: jit_avx512_1x1_FP32 fire6/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/expand3x3 EXECUTED layerType: Convolution realTime: 330 cpu: 330 execType: jit_avx512_FP32 fire6/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire6/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire7/squeeze1x1 EXECUTED layerType: Convolution realTime: 83 cpu: 83 execType: jit_avx512_1x1_FP32 fire7/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/expand1x1 EXECUTED layerType: Convolution realTime: 49 cpu: 49 execType: jit_avx512_1x1_FP32 fire7/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/expand3x3 EXECUTED layerType: Convolution realTime: 326 cpu: 326 execType: jit_avx512_FP32 fire7/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire7/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire8/squeeze1x1 EXECUTED layerType: Convolution realTime: 112 cpu: 112 execType: jit_avx512_1x1_FP32 fire8/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/expand1x1 EXECUTED layerType: Convolution realTime: 77 cpu: 77 execType: jit_avx512_1x1_FP32 fire8/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/expand3x3 EXECUTED layerType: Convolution realTime: 577 cpu: 577 execType: jit_avx512_FP32 fire8/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire8/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 fire9/squeeze1x1 EXECUTED layerType: Convolution realTime: 152 cpu: 152 execType: jit_avx512_1x1_FP32 fire9/relu_squeeze1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/expand1x1 EXECUTED layerType: Convolution realTime: 77 cpu: 77 execType: jit_avx512_1x1_FP32 fire9/relu_expand1x1 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/expand3x3 EXECUTED layerType: Convolution realTime: 580 cpu: 580 execType: jit_avx512_FP32 fire9/relu_expand3x3 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef fire9/concat EXECUTED layerType: Concat realTime: 2 cpu: 2 execType: unknown_FP32 conv10 EXECUTED layerType: Convolution realTime: 2161 cpu: 2161 execType: jit_avx512_1x1_FP32 relu_conv10 NOT_RUN layerType: ReLU realTime: 0 cpu: 0 execType: undef pool10/reduce EXECUTED layerType: Pooling realTime: 33 cpu: 33 execType: jit_avx512_FP32 pool10/reduce_aBcd16b_abcd... EXECUTED layerType: Reorder realTime: 10 cpu: 10 execType: ref_any_FP32 prob EXECUTED layerType: SoftMax realTime: 4 cpu: 4 execType: jit_avx512_FP32 out_prob NOT_RUN layerType: Output realTime: 0 cpu: 0 execType: unknown_FP32 Total time: 9216 microseconds Full device name: 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz Count: 1000 iterations Duration: 2354.02 ms Latency: 9.42 ms Throughput: 424.81 FPS ################################################### Inference Engine benchmark app completed successfully.
$ cd ~/openvino_models $ ls cache ir models $ python3 /opt/intel/openvino_2021/deployment_tools/tools/model_downloader/downloader.py --allダウンロードには数時間を要する。気長に待つべし。
: : FAILED: face-recognition-mobilefacenet-arcface face-recognition-resnet100-arcface face-recognition-resnet50-arcface fcrn-dp-nyu-depth-v2-tf retinaface-resnet50 ssh-mxnet face-recognition-resnet34-arcface resnest-50-pytorch retinaface-anti-covダウンロードできないモデルがある。
$ python3 /opt/intel/openvino_2021/deployment_tools/tools/model_downloader/converter.py --all : [ SUCCESS ] Generated IR version 10 model. [ SUCCESS ] XML file: /home/mizutu/openvino_models/public/yolo-v4-tf/FP32/yolo-v4-tf.xml [ SUCCESS ] BIN file: /home/mizutu/openvino_models/public/yolo-v4-tf/FP32/yolo-v4-tf.bin [ SUCCESS ] Total execution time: 39.91 seconds. [ SUCCESS ] Memory consumed: 1815 MB. FAILED: efficientdet-d0-tf efficientdet-d1-tf face-recognition-mobilefacenet-arcface face-recognition-resnet100-arcface face-recognition-resnet34-arcface face-recognition-resnet50-arcface fcrn-dp-nyu-depth-v2-tf regnetx-3.2gf resnest-50-pytorch retinaface-anti-cov retinaface-resnet50 rexnet-v1-x1.0 ssh-mxnetコンバートできないモデルは 13。
$ 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 004 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Bus 003 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Bus 001 Device 004: ID 03e7:2485 Intel Movidius MyriadX Bus 001 Device 003: ID 8087:0026 Intel Corp. Bus 001 Device 002: ID 046d:c534 Logitech, Inc. Unifying Receiver Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 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)
$ python3 Python 3.8.5 (default, Jan 27 2021, 15:41:15) [GCC 9.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import cv2 >>> print(cv2.getBuildInformation()) General configuration for OpenCV 4.5.2-openvino ===================================== Version control: 898c639f6ab195b81a1d3e9b2470a3f03123dd03 Platform: Timestamp: 2021-03-19T02:52:41Z Host: Linux 5.3.0-46-generic x86_64 CMake: 3.14.5 CMake generator: Ninja CMake build tool: /opt/miniconda/envs/build/bin/ninja Configuration: Release CPU/HW features: Baseline: SSE SSE2 SSE3 SSSE3 SSE4_1 POPCNT SSE4_2 requested: SSE4_2 Dispatched code generation: FP16 AVX AVX2 AVX512_SKX requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX FP16 (1 files): + FP16 AVX AVX (5 files): + AVX AVX2 (31 files): + FP16 FMA3 AVX AVX2 AVX512_SKX (7 files): + FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX C/C++: Built as dynamic libs?: YES C++ standard: 11 C++ Compiler: /usr/bin/c++ (ver 9.3.0) C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -mssse3 -msse4.1 -mpopcnt -msse4.2 -fvisibility=hidden -fvisibility-inlines-hidden -fstack-protector-strong -fPIC -O2 -DNDEBUG -DNDEBUG -D_FORTIFY_SOURCE=2 C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -mssse3 -msse4.1 -mpopcnt -msse4.2 -fvisibility=hidden -fvisibility-inlines-hidden -fstack-protector-strong -fPIC -g -O0 -DDEBUG -D_DEBUG C Compiler: /usr/bin/cc C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -mssse3 -msse4.1 -mpopcnt -msse4.2 -fvisibility=hidden -fstack-protector-strong -fPIC -O2 -DNDEBUG -DNDEBUG -D_FORTIFY_SOURCE=2 C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -mssse3 -msse4.1 -mpopcnt -msse4.2 -fvisibility=hidden -fstack-protector-strong -fPIC -g -O0 -DDEBUG -D_DEBUG Linker flags (Release): -Wl,--exclude-libs,libippicv.a -Wl,--exclude-libs,libippiw.a -Wl,--gc-sections -Wl,--as-needed -z noexecstack -z relro -z now Linker flags (Debug): -Wl,--exclude-libs,libippicv.a -Wl,--exclude-libs,libippiw.a -Wl,--gc-sections -Wl,--as-needed -z noexecstack -z relro -z now ccache: YES Precompiled headers: NO Extra dependencies: dl m pthread rt 3rdparty dependencies: OpenCV modules: To be built: calib3d core dnn features2d flann gapi highgui imgcodecs imgproc ml objdetect photo python3 stitching ts video videoio Disabled: world Disabled by dependency: - Unavailable: java python2 Applications: tests perf_tests apps Documentation: NO Non-free algorithms: NO GUI: GTK+: YES (ver 3.24.20) GThread : YES (ver 2.64.6) GtkGlExt: NO Media I/O: ZLib: build (ver 1.2.11) JPEG: build-libjpeg-turbo (ver 2.0.6-62) PNG: build (ver 1.6.37) HDR: YES SUNRASTER: YES PXM: YES PFM: YES Video I/O: FFMPEG: YES avcodec: YES (58.54.100) avformat: YES (58.29.100) avutil: YES (56.31.100) swscale: YES (5.5.100) avresample: YES (4.0.0) GStreamer: YES (1.16.2) v4l/v4l2: YES (linux/videodev2.h) Intel Media SDK: YES (/mnt/nfs/msdk/lin-18.4.1/lib64/libmfx.so) Parallel framework: pthreads Trace: YES (with Intel ITT) Other third-party libraries: Intel IPP: 2020.0.0 Gold [2020.0.0] at: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/build_release/3rdparty/ippicv/ippicv_lnx/icv Intel IPP IW: sources (2020.0.0) at: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/build_release/3rdparty/ippicv/ippicv_lnx/iw VA: YES Inference Engine: YES (2021030000 / 2.1.0) * libs: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/deployment_tools/inference_engine/lib/intel64/libinference_engine.so * includes: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/deployment_tools/inference_engine/include nGraph: YES (0.0.0+a5d9f96) * libs: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/deployment_tools/ngraph/lib/libngraph.so * includes: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/deployment_tools/ngraph/include Custom HAL: NO Protobuf: build (3.5.1) OpenCL: YES (INTELVA) Include path: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/opencv/3rdparty/include/opencl/1.2 Link libraries: Dynamic load Python 3: Interpreter: /opt/miniconda/envs/py3_env/bin/python (ver 3.4.5) Libraries: /opt/miniconda/envs/py3_env/lib/libpython3.4m.so (ver 3.4.5) numpy: /opt/miniconda/envs/py3_env/lib/python3.4/site-packages/numpy/core/include (ver 1.11.3) install path: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/build_release/install/python/python3 Python (for build): /usr/bin/python2.7 Install to: /home/jenkins/workspace/OpenCV/OpenVINO/2021.3/build/ubuntu20/build_release/install
$ gcc --version gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 Copyright (C) 2019 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. $ cmake --version cmake version 3.16.3 CMake suite maintained and supported by Kitware (kitware.com/cmake).
Build the Demo Applications on Linux* The officially supported Linux* build environment is the following: ・Ubuntu* 16.04 LTS 64-bit or CentOS* 7.4 64-bit ・GCC* 5.4.0 (for Ubuntu* 16.04) or GCC* 4.8.5 (for CentOS* 7.4) ・CMake* version 2.8 or higher.
INTEL_OPENVINO_DIR=/opt/intel/openvino_2021
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=ON
Setting environment variables for building demos... [setupvars.sh] OpenVINO environment initialized -- The C compiler identification is GNU 9.3.0 -- The CXX compiler identification is GNU 9.3.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Looking for C++ include unistd.h -- Looking for C++ include unistd.h - found -- Looking for C++ include stdint.h -- Looking for C++ include stdint.h - found -- Looking for C++ include sys/types.h -- Looking for C++ include sys/types.h - found -- Looking for C++ include fnmatch.h -- Looking for C++ include fnmatch.h - found -- Looking for C++ include stddef.h -- Looking for C++ include stddef.h - found -- Check size of uint32_t -- Check size of uint32_t - done -- Looking for strtoll -- Looking for strtoll - found -- Found InferenceEngine: /opt/intel/openvino_2021/deployment_tools/inference_engine/lib/intel64/libinference_engine.so (Required is at least version "2.0") -- Found OpenCV: /opt/intel/openvino_2021.3.394/opencv (found version "4.5.2") found components: core imgcodecs videoio -- Found OpenCV: /opt/intel/openvino_2021.3.394/opencv (found version "4.5.2") found components: core imgproc -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.8.5", minimum required is "3.6") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.8.so (found suitable exact version "3.8.5") -- Found OpenCV: /opt/intel/openvino_2021.3.394/opencv (found suitable version "4.5.2", minimum required is "4") found components: core imgproc -- Found OpenCV: /opt/intel/openvino_2021.3.394/opencv (found suitable version "4.5.2", minimum required is "4") found components: core -- Configuring done -- Generating done -- Build files have been written to: /home/mizutu/omz_demos_build Scanning dependencies of target gflags_nothreads_static Scanning dependencies of target pose_extractor Scanning dependencies of target ctcdecode_numpy_impl Scanning dependencies of target monitors [ 1%] Building CXX object thirdparty/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o [ 1%] Building CXX object thirdparty/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o [ 2%] Building CXX object thirdparty/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o [ 3%] Building CXX object common/cpp/monitors/CMakeFiles/monitors.dir/src/cpu_monitor.cpp.o [ 4%] Building CXX object common/cpp/monitors/CMakeFiles/monitors.dir/src/presenter.cpp.o [ 5%] Building CXX object common/cpp/monitors/CMakeFiles/monitors.dir/src/memory_monitor.cpp.o [ 5%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/binding.cpp.o [ 5%] Building CXX object human_pose_estimation_3d_demo/python/pose_extractor/CMakeFiles/pose_extractor.dir/wrapper.cpp.o [ 6%] Building CXX object human_pose_estimation_3d_demo/python/pose_extractor/CMakeFiles/pose_extractor.dir/src/extract_poses.cpp.o [ 7%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/ctc_beam_search_decoder.cpp.o [ 8%] Building CXX object human_pose_estimation_3d_demo/python/pose_extractor/CMakeFiles/pose_extractor.dir/src/human_pose.cpp.o [ 9%] Building CXX object human_pose_estimation_3d_demo/python/pose_extractor/CMakeFiles/pose_extractor.dir/src/peak.cpp.o [ 10%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/decoder_utils.cpp.o [ 11%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/decoders_wrap.cpp.o [ 12%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/path_trie.cpp.o [ 12%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/scorer_base.cpp.o [ 13%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/scorer_yoklm.cpp.o [ 14%] Linking CXX shared module ../../../intel64/Release/lib/pose_extractor.so [ 15%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/word_prefix_set.cpp.o [ 15%] Built target pose_extractor [ 16%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/yoklm/kenlm_v5_loader.cpp.o [ 17%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/yoklm/language_model.cpp.o [ 18%] Linking CXX static library ../../intel64/Release/lib/libgflags_nothreads.a [ 18%] Built target gflags_nothreads_static Scanning dependencies of target utils [ 18%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/yoklm/memory_section.cpp.o [ 18%] Building CXX object common/cpp/utils/CMakeFiles/utils.dir/src/args_helper.cpp.o [ 19%] Building CXX object speech_recognition_demo/python/ctcdecode-numpy/CMakeFiles/ctcdecode_numpy_impl.dir/ctcdecode_numpy/yoklm/vocabulary.cpp.o [ 20%] Building CXX object common/cpp/utils/CMakeFiles/utils.dir/src/images_capture.cpp.o [ 21%] Building CXX object common/cpp/utils/CMakeFiles/utils.dir/src/kuhn_munkres.cpp.o [ 22%] Building CXX object common/cpp/utils/CMakeFiles/utils.dir/src/performance_metrics.cpp.o [ 23%] Linking CXX static library ../../../intel64/Release/lib/libmonitors.a [ 23%] Built target monitors [ 24%] Linking CXX shared module ../../../intel64/Release/lib/ctcdecode_numpy/_impl.so [ 24%] Built target ctcdecode_numpy_impl Scanning dependencies of target ctcdecode_numpy [ 24%] Built target ctcdecode_numpy [ 25%] Linking CXX static library ../../../intel64/Release/lib/libutils.a [ 25%] Built target utils Scanning dependencies of target models Scanning dependencies of target mask_rcnn_demo Scanning dependencies of target gaze_estimation_demo Scanning dependencies of target multi_channel_common Scanning dependencies of target crossroad_camera_demo Scanning dependencies of target text_detection_demo Scanning dependencies of target interactive_face_detection_demo Scanning dependencies of target interactive_face_detection_demo_gapi [ 26%] Building CXX object mask_rcnn_demo/cpp/CMakeFiles/mask_rcnn_demo.dir/main.cpp.o [ 27%] Building CXX object crossroad_camera_demo/cpp/CMakeFiles/crossroad_camera_demo.dir/main.cpp.o [ 27%] Building CXX object text_detection_demo/cpp/CMakeFiles/text_detection_demo.dir/main.cpp.o [ 28%] Building CXX object multi_channel_common/cpp/CMakeFiles/multi_channel_common.dir/decoder.cpp.o [ 29%] Building CXX object interactive_face_detection_demo/cpp_gapi/CMakeFiles/interactive_face_detection_demo_gapi.dir/face.cpp.o [ 30%] Building CXX object gaze_estimation_demo/cpp/CMakeFiles/gaze_estimation_demo.dir/main.cpp.o [ 31%] Building CXX object 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omz_demos.sh #!/bin/sh echo [OMZ_demos.sh] Open Model Zoo Demos environment initialized export PYTHONPATH=$PYTHONPATH:$HOME/omz_demos_build/intel64/Release/lib
~/model/intel ├── FP16 │ ├── action-recognition-0001-decoder.bin │ ├── action-recognition-0001-decoder.xml │ ├── action-recognition-0001-encoder.bin │ ├── action-recognition-0001-encoder.xml │ ├── age-gender-recognition-retail-0013.bin │ ├── age-gender-recognition-retail-0013.xml │ ├── asl-recognition-0004.bin │ ├── asl-recognition-0004.xml │ ├── bert-large-uncased-whole-word-masking-squad-0001.bin │ ├── bert-large-uncased-whole-word-masking-squad-0001.xml │ ├── bert-large-uncased-whole-word-masking-squad-emb-0001.bin │ ├── bert-large-uncased-whole-word-masking-squad-emb-0001.xml │ ├── bert-small-uncased-whole-word-masking-squad-0001.bin │ ├── bert-small-uncased-whole-word-masking-squad-0001.xml │ ├── bert-small-uncased-whole-word-masking-squad-0002.bin │ ├── bert-small-uncased-whole-word-masking-squad-0002.xml │ ├── driver-action-recognition-adas-0002-decoder.bin │ ├── driver-action-recognition-adas-0002-decoder.xml │ ├── driver-action-recognition-adas-0002-encoder.bin │ ├── driver-action-recognition-adas-0002-encoder.xml │ ├── emotions-recognition-retail-0003.bin │ ├── emotions-recognition-retail-0003.xml │ ├── face-detection-0200.bin │ ├── face-detection-0200.xml │ ├── face-detection-0202.bin │ ├── face-detection-0202.xml │ ├── face-detection-0204.bin │ ├── face-detection-0204.xml │ ├── face-detection-0205.bin │ ├── face-detection-0205.xml │ ├── face-detection-0206.bin │ ├── face-detection-0206.xml │ ├── face-detection-adas-0001.bin │ ├── face-detection-adas-0001.xml │ ├── face-detection-retail-0004.bin │ ├── face-detection-retail-0004.xml │ ├── face-detection-retail-0005.bin │ ├── face-detection-retail-0005.xml │ ├── face-reidentification-retail-0095.bin │ ├── face-reidentification-retail-0095.xml │ ├── facial-landmarks-35-adas-0002.bin │ ├── facial-landmarks-35-adas-0002.xml │ ├── faster-rcnn-resnet101-coco-sparse-60-0001.bin │ ├── faster-rcnn-resnet101-coco-sparse-60-0001.xml │ ├── formula-recognition-medium-scan-0001-im2latex-decoder.bin │ ├── formula-recognition-medium-scan-0001-im2latex-decoder.xml │ ├── formula-recognition-medium-scan-0001-im2latex-encoder.bin │ ├── formula-recognition-medium-scan-0001-im2latex-encoder.xml │ ├── formula-recognition-polynomials-handwritten-0001-decoder.bin │ ├── formula-recognition-polynomials-handwritten-0001-decoder.xml │ ├── formula-recognition-polynomials-handwritten-0001-encoder.bin │ ├── formula-recognition-polynomials-handwritten-0001-encoder.xml │ ├── gaze-estimation-adas-0002.bin │ ├── gaze-estimation-adas-0002.xml │ ├── handwritten-japanese-recognition-0001.bin │ ├── handwritten-japanese-recognition-0001.xml │ ├── handwritten-score-recognition-0003.bin │ ├── handwritten-score-recognition-0003.xml │ ├── handwritten-simplified-chinese-recognition-0001.bin │ ├── handwritten-simplified-chinese-recognition-0001.xml │ ├── head-pose-estimation-adas-0001.bin │ ├── head-pose-estimation-adas-0001.xml │ ├── horizontal-text-detection-0001.bin │ ├── horizontal-text-detection-0001.xml │ ├── human-pose-estimation-0001.bin │ ├── human-pose-estimation-0001.xml │ ├── human-pose-estimation-0005.bin │ ├── human-pose-estimation-0005.xml │ ├── human-pose-estimation-0006.bin │ ├── human-pose-estimation-0006.xml │ ├── human-pose-estimation-0007.bin │ ├── human-pose-estimation-0007.xml │ ├── icnet-camvid-ava-0001.bin │ ├── icnet-camvid-ava-0001.xml │ ├── icnet-camvid-ava-sparse-30-0001.bin │ ├── icnet-camvid-ava-sparse-30-0001.xml │ ├── icnet-camvid-ava-sparse-60-0001.bin │ ├── icnet-camvid-ava-sparse-60-0001.xml │ ├── image-retrieval-0001.bin │ ├── image-retrieval-0001.xml │ ├── instance-segmentation-security-0002.bin │ ├── instance-segmentation-security-0002.xml │ ├── instance-segmentation-security-0091.bin │ ├── instance-segmentation-security-0091.xml │ ├── instance-segmentation-security-0228.bin │ ├── instance-segmentation-security-0228.xml │ ├── instance-segmentation-security-1039.bin │ ├── instance-segmentation-security-1039.xml │ ├── instance-segmentation-security-1040.bin │ ├── instance-segmentation-security-1040.xml │ ├── landmarks-regression-retail-0009.bin │ ├── landmarks-regression-retail-0009.xml │ ├── license-plate-recognition-barrier-0001.bin │ ├── license-plate-recognition-barrier-0001.xml │ ├── machine-translation-nar-de-en-0001.bin │ ├── machine-translation-nar-de-en-0001.xml │ ├── machine-translation-nar-en-de-0001.bin │ ├── machine-translation-nar-en-de-0001.xml │ ├── machine-translation-nar-en-ru-0001.bin │ ├── machine-translation-nar-en-ru-0001.xml │ ├── machine-translation-nar-ru-en-0001.bin │ ├── machine-translation-nar-ru-en-0001.xml │ ├── pedestrian-and-vehicle-detector-adas-0001.bin │ ├── pedestrian-and-vehicle-detector-adas-0001.xml │ ├── pedestrian-detection-adas-0002.bin │ ├── pedestrian-detection-adas-0002.xml │ ├── person-attributes-recognition-crossroad-0230.bin │ ├── person-attributes-recognition-crossroad-0230.xml │ ├── person-attributes-recognition-crossroad-0234.bin │ ├── person-attributes-recognition-crossroad-0234.xml │ ├── person-attributes-recognition-crossroad-0238.bin │ ├── person-attributes-recognition-crossroad-0238.xml │ ├── person-detection-0106.bin │ ├── person-detection-0106.xml │ ├── person-detection-0200.bin │ ├── person-detection-0200.xml │ ├── person-detection-0201.bin │ ├── person-detection-0201.xml │ ├── person-detection-0202.bin │ ├── person-detection-0202.xml │ ├── person-detection-0203.bin │ ├── person-detection-0203.xml │ ├── person-detection-action-recognition-0005.bin │ ├── person-detection-action-recognition-0005.xml │ ├── person-detection-action-recognition-0006.bin │ ├── person-detection-action-recognition-0006.xml │ ├── person-detection-action-recognition-teacher-0002.bin │ ├── person-detection-action-recognition-teacher-0002.xml │ ├── person-detection-asl-0001.bin │ ├── person-detection-asl-0001.xml │ ├── person-detection-raisinghand-recognition-0001.bin │ ├── person-detection-raisinghand-recognition-0001.xml │ ├── person-detection-retail-0002.bin │ ├── person-detection-retail-0002.xml │ ├── person-detection-retail-0013.bin │ ├── person-detection-retail-0013.xml │ ├── person-reidentification-retail-0277.bin │ ├── person-reidentification-retail-0277.xml │ ├── person-reidentification-retail-0286.bin │ ├── person-reidentification-retail-0286.xml │ ├── person-reidentification-retail-0287.bin │ ├── person-reidentification-retail-0287.xml │ ├── person-reidentification-retail-0288.bin │ ├── person-reidentification-retail-0288.xml │ ├── person-vehicle-bike-detection-2000.bin │ ├── person-vehicle-bike-detection-2000.xml │ ├── person-vehicle-bike-detection-2001.bin │ ├── person-vehicle-bike-detection-2001.xml │ ├── person-vehicle-bike-detection-2002.bin │ ├── person-vehicle-bike-detection-2002.xml │ ├── person-vehicle-bike-detection-2003.bin │ ├── person-vehicle-bike-detection-2003.xml │ ├── person-vehicle-bike-detection-2004.bin │ ├── person-vehicle-bike-detection-2004.xml │ ├── person-vehicle-bike-detection-crossroad-0078.bin │ ├── person-vehicle-bike-detection-crossroad-0078.xml │ ├── person-vehicle-bike-detection-crossroad-1016.bin │ ├── person-vehicle-bike-detection-crossroad-1016.xml │ ├── person-vehicle-bike-detection-crossroad-yolov3-1020.bin │ ├── person-vehicle-bike-detection-crossroad-yolov3-1020.xml │ ├── product-detection-0001.bin │ ├── product-detection-0001.xml │ ├── road-segmentation-adas-0001.bin │ ├── road-segmentation-adas-0001.xml │ ├── semantic-segmentation-adas-0001.bin │ ├── semantic-segmentation-adas-0001.xml │ ├── single-image-super-resolution-1032.bin │ ├── single-image-super-resolution-1032.xml │ ├── single-image-super-resolution-1033.bin │ ├── single-image-super-resolution-1033.xml │ ├── text-detection-0003.bin │ ├── text-detection-0003.xml │ ├── text-detection-0004.bin │ ├── text-detection-0004.xml │ ├── text-image-super-resolution-0001.bin │ ├── text-image-super-resolution-0001.xml │ ├── text-recognition-0012.bin │ ├── text-recognition-0012.xml │ ├── text-recognition-0013.bin │ ├── text-recognition-0013.xml │ ├── text-spotting-0004-detector.bin │ ├── text-spotting-0004-detector.xml │ ├── text-spotting-0004-recognizer-decoder.bin │ ├── text-spotting-0004-recognizer-decoder.xml │ ├── text-spotting-0004-recognizer-encoder.bin │ ├── text-spotting-0004-recognizer-encoder.xml │ ├── text-to-speech-en-0001-duration-prediction.bin │ ├── text-to-speech-en-0001-duration-prediction.xml │ ├── text-to-speech-en-0001-generation.bin │ ├── text-to-speech-en-0001-generation.xml │ ├── text-to-speech-en-0001-regression.bin │ ├── text-to-speech-en-0001-regression.xml │ ├── unet-camvid-onnx-0001.bin │ ├── unet-camvid-onnx-0001.xml │ ├── vehicle-attributes-recognition-barrier-0039.bin │ ├── vehicle-attributes-recognition-barrier-0039.xml │ ├── vehicle-attributes-recognition-barrier-0042.bin │ ├── vehicle-attributes-recognition-barrier-0042.xml │ ├── vehicle-detection-0200.bin │ ├── vehicle-detection-0200.xml │ ├── vehicle-detection-0201.bin │ ├── vehicle-detection-0201.xml │ ├── vehicle-detection-0202.bin │ ├── vehicle-detection-0202.xml │ ├── vehicle-detection-adas-0002.bin │ ├── vehicle-detection-adas-0002.xml │ ├── vehicle-license-plate-detection-barrier-0106.bin │ ├── vehicle-license-plate-detection-barrier-0106.xml │ ├── weld-porosity-detection-0001.bin │ ├── weld-porosity-detection-0001.xml │ ├── yolo-v2-ava-0001.bin │ ├── yolo-v2-ava-0001.xml │ ├── yolo-v2-ava-sparse-35-0001.bin │ ├── yolo-v2-ava-sparse-35-0001.xml │ ├── yolo-v2-ava-sparse-70-0001.bin │ ├── yolo-v2-ava-sparse-70-0001.xml │ ├── yolo-v2-tiny-ava-0001.bin │ ├── yolo-v2-tiny-ava-0001.xml │ ├── yolo-v2-tiny-ava-sparse-30-0001.bin │ ├── yolo-v2-tiny-ava-sparse-30-0001.xml │ ├── yolo-v2-tiny-ava-sparse-60-0001.bin │ ├── yolo-v2-tiny-ava-sparse-60-0001.xml │ ├── yolo-v2-tiny-vehicle-detection-0001.bin │ └── yolo-v2-tiny-vehicle-detection-0001.xml └── FP32 ├── action-recognition-0001-decoder.bin ├── action-recognition-0001-decoder.xml ├── action-recognition-0001-encoder.bin ├── action-recognition-0001-encoder.xml ├── age-gender-recognition-retail-0013.bin ├── age-gender-recognition-retail-0013.xml ├── asl-recognition-0004.bin ├── asl-recognition-0004.xml ├── bert-large-uncased-whole-word-masking-squad-0001.bin ├── bert-large-uncased-whole-word-masking-squad-0001.xml ├── bert-large-uncased-whole-word-masking-squad-emb-0001.bin ├── bert-large-uncased-whole-word-masking-squad-emb-0001.xml ├── bert-small-uncased-whole-word-masking-squad-0001.bin ├── bert-small-uncased-whole-word-masking-squad-0001.xml ├── bert-small-uncased-whole-word-masking-squad-0002.bin ├── bert-small-uncased-whole-word-masking-squad-0002.xml ├── driver-action-recognition-adas-0002-decoder.bin ├── driver-action-recognition-adas-0002-decoder.xml ├── driver-action-recognition-adas-0002-encoder.bin ├── driver-action-recognition-adas-0002-encoder.xml ├── emotions-recognition-retail-0003.bin ├── emotions-recognition-retail-0003.xml ├── face-detection-0200.bin ├── face-detection-0200.xml ├── face-detection-0202.bin ├── face-detection-0202.xml ├── face-detection-0204.bin ├── face-detection-0204.xml ├── face-detection-0205.bin ├── face-detection-0205.xml ├── face-detection-0206.bin ├── face-detection-0206.xml ├── face-detection-adas-0001.bin ├── face-detection-adas-0001.xml ├── face-detection-retail-0004.bin ├── face-detection-retail-0004.xml ├── face-detection-retail-0005.bin ├── face-detection-retail-0005.xml ├── face-reidentification-retail-0095.bin ├── face-reidentification-retail-0095.xml ├── facial-landmarks-35-adas-0002.bin ├── facial-landmarks-35-adas-0002.xml ├── faster-rcnn-resnet101-coco-sparse-60-0001.bin ├── faster-rcnn-resnet101-coco-sparse-60-0001.xml ├── formula-recognition-medium-scan-0001-im2latex-decoder.bin ├── formula-recognition-medium-scan-0001-im2latex-decoder.xml ├── formula-recognition-medium-scan-0001-im2latex-encoder.bin ├── formula-recognition-medium-scan-0001-im2latex-encoder.xml ├── formula-recognition-polynomials-handwritten-0001-decoder.bin ├── formula-recognition-polynomials-handwritten-0001-decoder.xml ├── formula-recognition-polynomials-handwritten-0001-encoder.bin ├── formula-recognition-polynomials-handwritten-0001-encoder.xml ├── gaze-estimation-adas-0002.bin ├── gaze-estimation-adas-0002.xml ├── handwritten-japanese-recognition-0001.bin ├── handwritten-japanese-recognition-0001.xml ├── handwritten-score-recognition-0003.bin ├── handwritten-score-recognition-0003.xml ├── handwritten-simplified-chinese-recognition-0001.bin ├── handwritten-simplified-chinese-recognition-0001.xml ├── head-pose-estimation-adas-0001.bin ├── head-pose-estimation-adas-0001.xml ├── horizontal-text-detection-0001.bin ├── horizontal-text-detection-0001.xml ├── human-pose-estimation-0001.bin ├── human-pose-estimation-0001.xml ├── human-pose-estimation-0005.bin ├── human-pose-estimation-0005.xml ├── human-pose-estimation-0006.bin ├── human-pose-estimation-0006.xml ├── human-pose-estimation-0007.bin ├── human-pose-estimation-0007.xml ├── icnet-camvid-ava-0001.bin ├── icnet-camvid-ava-0001.xml ├── icnet-camvid-ava-sparse-30-0001.bin ├── icnet-camvid-ava-sparse-30-0001.xml ├── icnet-camvid-ava-sparse-60-0001.bin ├── icnet-camvid-ava-sparse-60-0001.xml ├── image-retrieval-0001.bin ├── image-retrieval-0001.xml ├── instance-segmentation-security-0002.bin ├── instance-segmentation-security-0002.xml ├── instance-segmentation-security-0091.bin ├── instance-segmentation-security-0091.xml ├── instance-segmentation-security-0228.bin ├── instance-segmentation-security-0228.xml ├── instance-segmentation-security-1039.bin ├── instance-segmentation-security-1039.xml ├── instance-segmentation-security-1040.bin ├── instance-segmentation-security-1040.xml ├── landmarks-regression-retail-0009.bin ├── landmarks-regression-retail-0009.xml ├── license-plate-recognition-barrier-0001.bin ├── license-plate-recognition-barrier-0001.xml ├── machine-translation-nar-de-en-0001.bin ├── machine-translation-nar-de-en-0001.xml ├── machine-translation-nar-en-de-0001.bin ├── machine-translation-nar-en-de-0001.xml ├── machine-translation-nar-en-ru-0001.bin ├── machine-translation-nar-en-ru-0001.xml ├── machine-translation-nar-ru-en-0001.bin ├── machine-translation-nar-ru-en-0001.xml ├── pedestrian-and-vehicle-detector-adas-0001.bin ├── pedestrian-and-vehicle-detector-adas-0001.xml ├── pedestrian-detection-adas-0002.bin ├── pedestrian-detection-adas-0002.xml ├── person-attributes-recognition-crossroad-0230.bin ├── person-attributes-recognition-crossroad-0230.xml ├── person-attributes-recognition-crossroad-0234.bin ├── person-attributes-recognition-crossroad-0234.xml ├── person-attributes-recognition-crossroad-0238.bin ├── person-attributes-recognition-crossroad-0238.xml ├── person-detection-0106.bin ├── person-detection-0106.xml ├── person-detection-0200.bin ├── person-detection-0200.xml ├── person-detection-0201.bin ├── person-detection-0201.xml ├── person-detection-0202.bin ├── person-detection-0202.xml ├── person-detection-0203.bin ├── person-detection-0203.xml ├── person-detection-action-recognition-0005.bin ├── person-detection-action-recognition-0005.xml ├── person-detection-action-recognition-0006.bin ├── person-detection-action-recognition-0006.xml ├── person-detection-action-recognition-teacher-0002.bin ├── person-detection-action-recognition-teacher-0002.xml ├── person-detection-asl-0001.bin ├── person-detection-asl-0001.xml ├── person-detection-raisinghand-recognition-0001.bin ├── person-detection-raisinghand-recognition-0001.xml ├── person-detection-retail-0002.bin ├── person-detection-retail-0002.xml ├── person-detection-retail-0013.bin ├── person-detection-retail-0013.xml ├── person-reidentification-retail-0277.bin ├── person-reidentification-retail-0277.xml ├── person-reidentification-retail-0286.bin ├── person-reidentification-retail-0286.xml ├── person-reidentification-retail-0287.bin ├── person-reidentification-retail-0287.xml ├── person-reidentification-retail-0288.bin ├── person-reidentification-retail-0288.xml ├── person-vehicle-bike-detection-2000.bin ├── person-vehicle-bike-detection-2000.xml ├── person-vehicle-bike-detection-2001.bin ├── person-vehicle-bike-detection-2001.xml ├── person-vehicle-bike-detection-2002.bin ├── person-vehicle-bike-detection-2002.xml ├── person-vehicle-bike-detection-2003.bin ├── person-vehicle-bike-detection-2003.xml ├── person-vehicle-bike-detection-2004.bin ├── person-vehicle-bike-detection-2004.xml ├── person-vehicle-bike-detection-crossroad-0078.bin ├── person-vehicle-bike-detection-crossroad-0078.xml ├── person-vehicle-bike-detection-crossroad-1016.bin ├── person-vehicle-bike-detection-crossroad-1016.xml ├── person-vehicle-bike-detection-crossroad-yolov3-1020.bin ├── person-vehicle-bike-detection-crossroad-yolov3-1020.xml ├── product-detection-0001.bin ├── product-detection-0001.xml ├── road-segmentation-adas-0001.bin ├── road-segmentation-adas-0001.xml ├── semantic-segmentation-adas-0001.bin ├── semantic-segmentation-adas-0001.xml ├── single-image-super-resolution-1032.bin ├── single-image-super-resolution-1032.xml ├── single-image-super-resolution-1033.bin ├── single-image-super-resolution-1033.xml ├── text-detection-0003.bin ├── text-detection-0003.xml ├── text-detection-0004.bin ├── text-detection-0004.xml ├── text-image-super-resolution-0001.bin ├── text-image-super-resolution-0001.xml ├── text-recognition-0012.bin ├── text-recognition-0012.xml ├── text-recognition-0013.bin ├── text-recognition-0013.xml ├── text-spotting-0004-detector.bin ├── text-spotting-0004-detector.xml ├── text-spotting-0004-recognizer-decoder.bin ├── text-spotting-0004-recognizer-decoder.xml ├── text-spotting-0004-recognizer-encoder.bin ├── text-spotting-0004-recognizer-encoder.xml ├── text-to-speech-en-0001-duration-prediction.bin ├── text-to-speech-en-0001-duration-prediction.xml ├── text-to-speech-en-0001-generation.bin ├── text-to-speech-en-0001-generation.xml ├── text-to-speech-en-0001-regression.bin ├── text-to-speech-en-0001-regression.xml ├── unet-camvid-onnx-0001.bin ├── unet-camvid-onnx-0001.xml ├── vehicle-attributes-recognition-barrier-0039.bin ├── vehicle-attributes-recognition-barrier-0039.xml ├── vehicle-attributes-recognition-barrier-0042.bin ├── vehicle-attributes-recognition-barrier-0042.xml ├── vehicle-detection-0200.bin ├── vehicle-detection-0200.xml ├── vehicle-detection-0201.bin ├── vehicle-detection-0201.xml ├── vehicle-detection-0202.bin ├── vehicle-detection-0202.xml ├── vehicle-detection-adas-0002.bin ├── vehicle-detection-adas-0002.xml ├── vehicle-license-plate-detection-barrier-0106.bin ├── vehicle-license-plate-detection-barrier-0106.xml ├── weld-porosity-detection-0001.bin ├── weld-porosity-detection-0001.xml ├── yolo-v2-ava-0001.bin ├── yolo-v2-ava-0001.xml ├── yolo-v2-ava-sparse-35-0001.bin ├── yolo-v2-ava-sparse-35-0001.xml ├── yolo-v2-ava-sparse-70-0001.bin ├── yolo-v2-ava-sparse-70-0001.xml ├── yolo-v2-tiny-ava-0001.bin ├── yolo-v2-tiny-ava-0001.xml ├── yolo-v2-tiny-ava-sparse-30-0001.bin ├── yolo-v2-tiny-ava-sparse-30-0001.xml ├── yolo-v2-tiny-ava-sparse-60-0001.bin ├── yolo-v2-tiny-ava-sparse-60-0001.xml ├── yolo-v2-tiny-vehicle-detection-0001.bin └── yolo-v2-tiny-vehicle-detection-0001.xml 2 directories, 448 files
~/model/public ├── FP16 │ ├── Sphereface.bin │ ├── Sphereface.mapping │ ├── Sphereface.xml │ ├── aclnet.bin │ ├── aclnet.mapping │ ├── aclnet.xml │ ├── alexnet.bin │ ├── alexnet.mapping │ ├── alexnet.xml │ ├── anti-spoof-mn3.bin │ ├── anti-spoof-mn3.mapping │ ├── anti-spoof-mn3.xml │ ├── brain-tumor-segmentation-0001.bin │ ├── brain-tumor-segmentation-0001.mapping │ ├── brain-tumor-segmentation-0001.xml │ ├── brain-tumor-segmentation-0002.bin │ ├── brain-tumor-segmentation-0002.mapping │ ├── brain-tumor-segmentation-0002.xml │ ├── caffenet.bin │ ├── caffenet.mapping │ ├── caffenet.xml │ ├── cocosnet.bin │ ├── cocosnet.mapping │ ├── cocosnet.xml │ ├── colorization-siggraph.bin │ ├── colorization-siggraph.mapping │ ├── colorization-siggraph.xml │ ├── colorization-v2.bin │ ├── colorization-v2.mapping │ ├── colorization-v2.xml │ ├── common-sign-language-0001.bin │ ├── common-sign-language-0001.mapping │ ├── common-sign-language-0001.xml │ ├── ctdet_coco_dlav0_384.bin │ ├── ctdet_coco_dlav0_384.mapping │ ├── ctdet_coco_dlav0_384.xml │ ├── ctdet_coco_dlav0_512.bin │ ├── ctdet_coco_dlav0_512.mapping │ ├── ctdet_coco_dlav0_512.xml │ ├── ctpn.bin │ ├── ctpn.mapping │ ├── ctpn.xml │ ├── deblurgan-v2.bin │ ├── deblurgan-v2.mapping │ ├── deblurgan-v2.xml │ ├── deeplabv3.bin │ ├── deeplabv3.mapping │ ├── deeplabv3.xml │ ├── densenet-121-caffe2.bin │ ├── densenet-121-caffe2.mapping │ ├── densenet-121-caffe2.xml │ ├── densenet-121-tf.bin │ ├── densenet-121-tf.mapping │ ├── densenet-121-tf.xml │ ├── densenet-121.bin │ ├── densenet-121.mapping │ ├── densenet-121.xml │ ├── densenet-161-tf.bin │ ├── densenet-161-tf.mapping │ ├── densenet-161-tf.xml │ ├── densenet-161.bin │ ├── densenet-161.mapping │ ├── densenet-161.xml │ ├── densenet-169-tf.bin │ ├── densenet-169-tf.mapping │ ├── densenet-169-tf.xml │ ├── densenet-169.bin │ ├── densenet-169.mapping │ ├── densenet-169.xml │ ├── densenet-201-tf.bin │ ├── densenet-201-tf.mapping │ ├── densenet-201-tf.xml │ ├── densenet-201.bin │ ├── densenet-201.mapping │ ├── densenet-201.xml │ ├── dla-34.bin │ ├── dla-34.mapping │ ├── dla-34.xml │ ├── efficientnet-b0-pytorch.bin │ ├── efficientnet-b0-pytorch.mapping │ ├── efficientnet-b0-pytorch.xml │ ├── efficientnet-b0.bin │ ├── efficientnet-b0.mapping │ ├── efficientnet-b0.xml │ ├── efficientnet-b0_auto_aug.bin │ ├── efficientnet-b0_auto_aug.mapping │ ├── efficientnet-b0_auto_aug.xml │ ├── efficientnet-b5-pytorch.bin │ ├── efficientnet-b5-pytorch.mapping │ ├── efficientnet-b5-pytorch.xml │ ├── efficientnet-b5.bin │ ├── efficientnet-b5.mapping │ ├── efficientnet-b5.xml │ ├── efficientnet-b7-pytorch.bin │ ├── efficientnet-b7-pytorch.mapping │ ├── efficientnet-b7-pytorch.xml │ ├── efficientnet-b7_auto_aug.bin │ ├── efficientnet-b7_auto_aug.mapping │ ├── efficientnet-b7_auto_aug.xml │ ├── face-detection-retail-0044.bin │ ├── face-detection-retail-0044.mapping │ ├── face-detection-retail-0044.xml │ ├── face-recognition-mobilefacenet-arcface.bin │ ├── face-recognition-mobilefacenet-arcface.mapping │ ├── face-recognition-mobilefacenet-arcface.xml │ ├── face-recognition-resnet100-arcface.bin │ ├── face-recognition-resnet100-arcface.mapping │ ├── face-recognition-resnet100-arcface.xml │ ├── face-recognition-resnet34-arcface.bin │ ├── face-recognition-resnet34-arcface.mapping │ ├── face-recognition-resnet34-arcface.xml │ ├── face-recognition-resnet50-arcface.bin │ ├── face-recognition-resnet50-arcface.mapping │ ├── face-recognition-resnet50-arcface.xml │ ├── faceboxes-pytorch.bin │ ├── faceboxes-pytorch.mapping │ ├── faceboxes-pytorch.xml │ ├── facenet-20180408-102900.bin │ ├── facenet-20180408-102900.mapping │ ├── facenet-20180408-102900.xml │ ├── fast-neural-style-mosaic-onnx.bin │ ├── fast-neural-style-mosaic-onnx.mapping │ ├── fast-neural-style-mosaic-onnx.xml │ ├── faster_rcnn_inception_resnet_v2_atrous_coco.bin │ ├── faster_rcnn_inception_resnet_v2_atrous_coco.mapping │ ├── faster_rcnn_inception_resnet_v2_atrous_coco.xml │ ├── faster_rcnn_inception_v2_coco.bin │ ├── faster_rcnn_inception_v2_coco.mapping │ ├── faster_rcnn_inception_v2_coco.xml │ ├── faster_rcnn_resnet101_coco.bin │ ├── faster_rcnn_resnet101_coco.mapping │ ├── faster_rcnn_resnet101_coco.xml │ ├── faster_rcnn_resnet50_coco.bin │ ├── faster_rcnn_resnet50_coco.mapping │ ├── faster_rcnn_resnet50_coco.xml │ ├── fastseg-large.bin │ ├── fastseg-large.mapping │ ├── fastseg-large.xml │ ├── fastseg-small.bin │ ├── fastseg-small.mapping │ ├── fastseg-small.xml │ ├── fcrn-dp-nyu-depth-v2-tf.bin │ ├── fcrn-dp-nyu-depth-v2-tf.mapping │ ├── fcrn-dp-nyu-depth-v2-tf.xml │ ├── forward-tacotron-duration-prediction.bin │ ├── forward-tacotron-duration-prediction.mapping │ ├── forward-tacotron-duration-prediction.xml │ ├── forward-tacotron-regression.bin │ ├── forward-tacotron-regression.mapping │ ├── forward-tacotron-regression.xml │ ├── gmcnn-places2-tf.bin │ ├── gmcnn-places2-tf.mapping │ ├── gmcnn-places2-tf.xml │ ├── googlenet-v1-tf.bin │ ├── googlenet-v1-tf.mapping │ ├── googlenet-v1-tf.xml │ ├── googlenet-v1.bin │ ├── googlenet-v1.mapping │ ├── googlenet-v1.xml │ ├── googlenet-v2-tf.bin │ ├── googlenet-v2-tf.mapping │ ├── googlenet-v2-tf.xml │ ├── googlenet-v2.bin │ ├── googlenet-v2.mapping │ ├── googlenet-v2.xml │ ├── googlenet-v3-pytorch.bin │ ├── googlenet-v3-pytorch.mapping │ ├── googlenet-v3-pytorch.xml │ ├── googlenet-v3.bin │ ├── googlenet-v3.mapping │ ├── googlenet-v3.xml │ ├── googlenet-v4-tf.bin │ ├── googlenet-v4-tf.mapping │ ├── googlenet-v4-tf.xml │ ├── hbonet-0.25.bin │ ├── hbonet-0.25.mapping │ ├── hbonet-0.25.xml │ ├── hbonet-0.5.bin │ ├── hbonet-0.5.mapping │ ├── hbonet-0.5.xml │ ├── hbonet-1.0.bin │ ├── hbonet-1.0.mapping │ ├── hbonet-1.0.xml │ ├── hrnet-v2-c1-segmentation.bin │ ├── hrnet-v2-c1-segmentation.mapping │ ├── hrnet-v2-c1-segmentation.xml │ ├── human-pose-estimation-3d-0001.bin │ ├── human-pose-estimation-3d-0001.mapping │ ├── human-pose-estimation-3d-0001.xml │ ├── i3d-rgb-tf.bin │ ├── i3d-rgb-tf.mapping │ ├── i3d-rgb-tf.xml │ ├── inception-resnet-v2-tf.bin │ ├── inception-resnet-v2-tf.mapping │ ├── inception-resnet-v2-tf.xml │ ├── license-plate-recognition-barrier-0007.bin │ ├── license-plate-recognition-barrier-0007.mapping │ ├── license-plate-recognition-barrier-0007.xml │ ├── mask_rcnn_inception_resnet_v2_atrous_coco.bin │ ├── mask_rcnn_inception_resnet_v2_atrous_coco.mapping │ ├── mask_rcnn_inception_resnet_v2_atrous_coco.xml │ ├── mask_rcnn_inception_v2_coco.bin │ ├── mask_rcnn_inception_v2_coco.mapping │ ├── mask_rcnn_inception_v2_coco.xml │ ├── mask_rcnn_resnet101_atrous_coco.bin │ ├── mask_rcnn_resnet101_atrous_coco.mapping │ ├── mask_rcnn_resnet101_atrous_coco.xml │ ├── mask_rcnn_resnet50_atrous_coco.bin │ ├── mask_rcnn_resnet50_atrous_coco.mapping │ ├── mask_rcnn_resnet50_atrous_coco.xml │ ├── midasnet.bin │ ├── midasnet.mapping │ ├── midasnet.xml │ ├── mobilefacedet-v1-mxnet.bin │ ├── mobilefacedet-v1-mxnet.mapping │ ├── mobilefacedet-v1-mxnet.xml │ ├── mobilenet-ssd.bin │ ├── mobilenet-ssd.mapping │ ├── mobilenet-ssd.xml │ ├── mobilenet-v1-0.25-128.bin │ ├── mobilenet-v1-0.25-128.mapping │ ├── mobilenet-v1-0.25-128.xml │ ├── mobilenet-v1-0.50-160.bin │ ├── mobilenet-v1-0.50-160.mapping │ ├── mobilenet-v1-0.50-160.xml │ ├── mobilenet-v1-0.50-224.bin │ ├── mobilenet-v1-0.50-224.mapping │ ├── mobilenet-v1-0.50-224.xml │ ├── mobilenet-v1-1.0-224-tf.bin │ ├── mobilenet-v1-1.0-224-tf.mapping │ ├── mobilenet-v1-1.0-224-tf.xml │ ├── mobilenet-v1-1.0-224.bin │ ├── mobilenet-v1-1.0-224.mapping │ ├── mobilenet-v1-1.0-224.xml │ ├── mobilenet-v2-1.0-224.bin │ ├── mobilenet-v2-1.0-224.mapping │ ├── mobilenet-v2-1.0-224.xml │ ├── mobilenet-v2-1.4-224.bin │ ├── mobilenet-v2-1.4-224.mapping │ ├── mobilenet-v2-1.4-224.xml │ ├── mobilenet-v2-pytorch.bin │ ├── mobilenet-v2-pytorch.mapping │ ├── mobilenet-v2-pytorch.xml │ ├── mobilenet-v2.bin │ ├── mobilenet-v2.mapping │ ├── mobilenet-v2.xml │ ├── mobilenet-v3-large-1.0-224-tf.bin │ ├── mobilenet-v3-large-1.0-224-tf.mapping │ ├── mobilenet-v3-large-1.0-224-tf.xml │ ├── mobilenet-v3-small-1.0-224-tf.bin │ ├── mobilenet-v3-small-1.0-224-tf.mapping │ ├── mobilenet-v3-small-1.0-224-tf.xml │ ├── mozilla-deepspeech-0.6.1.bin │ ├── mozilla-deepspeech-0.6.1.mapping │ ├── mozilla-deepspeech-0.6.1.xml │ ├── mozilla-deepspeech-0.8.2.bin │ ├── mozilla-deepspeech-0.8.2.mapping │ ├── mozilla-deepspeech-0.8.2.xml │ ├── mtcnn-o.bin │ ├── mtcnn-o.mapping │ ├── mtcnn-o.xml │ ├── mtcnn-p.bin │ ├── mtcnn-p.mapping │ ├── mtcnn-p.xml │ ├── mtcnn-r.bin │ ├── mtcnn-r.mapping │ ├── mtcnn-r.xml │ ├── netvlad-tf.bin │ ├── netvlad-tf.mapping │ ├── netvlad-tf.xml │ ├── octave-densenet-121-0.125.bin │ ├── octave-densenet-121-0.125.mapping │ ├── octave-densenet-121-0.125.xml │ ├── octave-resnet-101-0.125.bin │ ├── octave-resnet-101-0.125.mapping │ ├── octave-resnet-101-0.125.xml │ ├── octave-resnet-200-0.125.bin │ ├── octave-resnet-200-0.125.mapping │ ├── octave-resnet-200-0.125.xml │ ├── octave-resnet-26-0.25.bin │ ├── octave-resnet-26-0.25.mapping │ ├── octave-resnet-26-0.25.xml │ ├── octave-resnet-50-0.125.bin │ ├── octave-resnet-50-0.125.mapping │ ├── octave-resnet-50-0.125.xml │ ├── octave-resnext-101-0.25.bin │ ├── octave-resnext-101-0.25.mapping │ ├── octave-resnext-101-0.25.xml │ ├── octave-resnext-50-0.25.bin │ ├── octave-resnext-50-0.25.mapping │ ├── octave-resnext-50-0.25.xml │ ├── octave-se-resnet-50-0.125.bin │ ├── octave-se-resnet-50-0.125.mapping │ ├── octave-se-resnet-50-0.125.xml │ ├── open-closed-eye-0001.bin │ ├── open-closed-eye-0001.mapping │ ├── open-closed-eye-0001.xml │ ├── pelee-coco.bin │ ├── pelee-coco.mapping │ ├── pelee-coco.xml │ ├── resnest-50-pytorch.bin │ ├── resnest-50-pytorch.mapping │ ├── resnest-50-pytorch.xml │ ├── resnet-18-pytorch.bin │ ├── resnet-18-pytorch.mapping │ ├── resnet-18-pytorch.xml │ ├── resnet-34-pytorch.bin │ ├── resnet-34-pytorch.mapping │ ├── resnet-34-pytorch.xml │ ├── resnet-50-caffe2.bin │ ├── resnet-50-caffe2.mapping │ ├── resnet-50-caffe2.xml │ ├── resnet-50-pytorch.bin │ ├── resnet-50-pytorch.mapping │ ├── resnet-50-pytorch.xml │ ├── resnet-50-tf.bin │ ├── resnet-50-tf.mapping │ ├── resnet-50-tf.xml │ ├── retinaface-anti-cov.bin │ ├── retinaface-anti-cov.mapping │ ├── retinaface-anti-cov.xml │ ├── retinaface-resnet50.bin │ ├── retinaface-resnet50.mapping │ ├── retinaface-resnet50.xml │ ├── retinanet-tf.bin │ ├── retinanet-tf.mapping │ ├── retinanet-tf.xml │ ├── rfcn-resnet101-coco-tf.bin │ ├── rfcn-resnet101-coco-tf.mapping │ ├── rfcn-resnet101-coco-tf.xml │ ├── se-inception.bin │ ├── se-inception.mapping │ ├── se-inception.xml │ ├── se-resnet-101.bin │ ├── se-resnet-101.mapping │ ├── se-resnet-101.xml │ ├── se-resnet-152.bin │ ├── se-resnet-152.mapping │ ├── se-resnet-152.xml │ ├── se-resnet-50.bin │ ├── se-resnet-50.mapping │ ├── se-resnet-50.xml │ ├── se-resnext-101.bin │ ├── se-resnext-101.mapping │ ├── se-resnext-101.xml │ ├── se-resnext-50.bin │ ├── se-resnext-50.mapping │ ├── se-resnext-50.xml │ ├── shufflenet-v2-x1.0.bin │ ├── shufflenet-v2-x1.0.mapping │ ├── shufflenet-v2-x1.0.xml │ ├── single-human-pose-estimation-0001.bin │ ├── single-human-pose-estimation-0001.mapping │ ├── single-human-pose-estimation-0001.xml │ ├── squeezenet1.0.bin │ ├── squeezenet1.0.mapping │ ├── squeezenet1.0.xml │ ├── squeezenet1.1-caffe2.bin │ ├── squeezenet1.1-caffe2.mapping │ ├── squeezenet1.1-caffe2.xml │ ├── squeezenet1.1.bin │ ├── squeezenet1.1.mapping │ ├── squeezenet1.1.xml │ ├── ssd-resnet34-1200-onnx.bin │ ├── ssd-resnet34-1200-onnx.mapping │ ├── ssd-resnet34-1200-onnx.xml │ ├── ssd300.bin │ ├── ssd300.mapping │ ├── ssd300.xml │ ├── ssd512.bin │ ├── ssd512.mapping │ ├── ssd512.xml │ ├── ssd_mobilenet_v1_coco.bin │ ├── ssd_mobilenet_v1_coco.mapping │ ├── ssd_mobilenet_v1_coco.xml │ ├── ssd_mobilenet_v1_fpn_coco.bin │ ├── ssd_mobilenet_v1_fpn_coco.mapping │ ├── ssd_mobilenet_v1_fpn_coco.xml │ ├── ssd_mobilenet_v2_coco.bin │ ├── ssd_mobilenet_v2_coco.mapping │ ├── ssd_mobilenet_v2_coco.xml │ ├── ssd_resnet50_v1_fpn_coco.bin │ ├── ssd_resnet50_v1_fpn_coco.mapping │ ├── ssd_resnet50_v1_fpn_coco.xml │ ├── ssdlite_mobilenet_v2.bin │ ├── ssdlite_mobilenet_v2.mapping │ ├── ssdlite_mobilenet_v2.xml │ ├── ssh-mxnet.bin │ ├── ssh-mxnet.mapping │ ├── ssh-mxnet.xml │ ├── vehicle-license-plate-detection-barrier-0123.bin │ ├── vehicle-license-plate-detection-barrier-0123.mapping │ ├── vehicle-license-plate-detection-barrier-0123.xml │ ├── vehicle-reid-0001.bin │ ├── vehicle-reid-0001.mapping │ ├── vehicle-reid-0001.xml │ ├── vgg16.bin │ ├── vgg16.mapping │ ├── vgg16.xml │ ├── vgg19-caffe2.bin │ ├── vgg19-caffe2.mapping │ ├── vgg19-caffe2.xml │ ├── vgg19.bin │ ├── vgg19.mapping │ ├── vgg19.xml │ ├── wavernn-rnn.bin │ ├── wavernn-rnn.mapping │ ├── wavernn-rnn.xml │ ├── wavernn-upsampler.bin │ ├── wavernn-upsampler.mapping │ ├── wavernn-upsampler.xml │ ├── yolact-resnet50-fpn-pytorch.bin │ ├── yolact-resnet50-fpn-pytorch.mapping │ ├── yolact-resnet50-fpn-pytorch.xml │ ├── yolo-v1-tiny-tf.bin │ ├── yolo-v1-tiny-tf.mapping │ ├── yolo-v1-tiny-tf.xml │ ├── yolo-v2-tf.bin │ ├── yolo-v2-tf.mapping │ ├── yolo-v2-tf.xml │ ├── yolo-v2-tiny-tf.bin │ ├── yolo-v2-tiny-tf.mapping │ ├── yolo-v2-tiny-tf.xml │ ├── yolo-v3-tf.bin │ ├── yolo-v3-tf.mapping │ ├── yolo-v3-tf.xml │ ├── yolo-v3-tiny-tf.bin │ ├── yolo-v3-tiny-tf.mapping │ ├── yolo-v3-tiny-tf.xml │ ├── yolo-v4-tf.bin │ ├── yolo-v4-tf.mapping │ └── yolo-v4-tf.xml └── FP32 ├── Sphereface.bin ├── Sphereface.mapping ├── Sphereface.xml ├── aclnet.bin ├── aclnet.mapping ├── aclnet.xml ├── alexnet.bin ├── alexnet.mapping ├── alexnet.xml ├── anti-spoof-mn3.bin ├── anti-spoof-mn3.mapping ├── anti-spoof-mn3.xml ├── brain-tumor-segmentation-0001.bin ├── brain-tumor-segmentation-0001.mapping ├── brain-tumor-segmentation-0001.xml ├── brain-tumor-segmentation-0002.bin ├── brain-tumor-segmentation-0002.mapping ├── brain-tumor-segmentation-0002.xml ├── caffenet.bin ├── caffenet.mapping ├── caffenet.xml ├── cocosnet.bin ├── cocosnet.mapping ├── cocosnet.xml ├── colorization-siggraph.bin ├── colorization-siggraph.mapping ├── colorization-siggraph.xml ├── colorization-v2.bin ├── colorization-v2.mapping ├── colorization-v2.xml ├── common-sign-language-0001.bin ├── common-sign-language-0001.mapping ├── common-sign-language-0001.xml ├── ctdet_coco_dlav0_384.bin ├── ctdet_coco_dlav0_384.mapping ├── ctdet_coco_dlav0_384.xml ├── ctdet_coco_dlav0_512.bin ├── ctdet_coco_dlav0_512.mapping ├── ctdet_coco_dlav0_512.xml ├── ctpn.bin ├── ctpn.mapping ├── ctpn.xml ├── deblurgan-v2.bin ├── deblurgan-v2.mapping ├── deblurgan-v2.xml ├── deeplabv3.bin ├── deeplabv3.mapping ├── deeplabv3.xml ├── densenet-121-caffe2.bin ├── densenet-121-caffe2.mapping ├── densenet-121-caffe2.xml ├── densenet-121-tf.bin ├── densenet-121-tf.mapping ├── densenet-121-tf.xml ├── densenet-121.bin ├── densenet-121.mapping ├── densenet-121.xml ├── densenet-161-tf.bin ├── densenet-161-tf.mapping ├── densenet-161-tf.xml ├── densenet-161.bin ├── densenet-161.mapping ├── densenet-161.xml ├── densenet-169-tf.bin ├── densenet-169-tf.mapping ├── densenet-169-tf.xml ├── densenet-169.bin ├── densenet-169.mapping ├── densenet-169.xml ├── densenet-201-tf.bin ├── densenet-201-tf.mapping ├── densenet-201-tf.xml ├── densenet-201.bin ├── densenet-201.mapping ├── densenet-201.xml ├── dla-34.bin ├── dla-34.mapping ├── dla-34.xml ├── efficientnet-b0-pytorch.bin ├── efficientnet-b0-pytorch.mapping ├── efficientnet-b0-pytorch.xml ├── efficientnet-b0.bin ├── efficientnet-b0.mapping ├── efficientnet-b0.xml ├── efficientnet-b0_auto_aug.bin ├── efficientnet-b0_auto_aug.mapping ├── efficientnet-b0_auto_aug.xml ├── efficientnet-b5-pytorch.bin ├── efficientnet-b5-pytorch.mapping ├── efficientnet-b5-pytorch.xml ├── efficientnet-b5.bin ├── efficientnet-b5.mapping ├── efficientnet-b5.xml ├── efficientnet-b7-pytorch.bin ├── efficientnet-b7-pytorch.mapping ├── efficientnet-b7-pytorch.xml ├── efficientnet-b7_auto_aug.bin ├── efficientnet-b7_auto_aug.mapping ├── efficientnet-b7_auto_aug.xml ├── face-detection-retail-0044.bin ├── face-detection-retail-0044.mapping ├── face-detection-retail-0044.xml ├── face-recognition-mobilefacenet-arcface.bin ├── face-recognition-mobilefacenet-arcface.mapping ├── face-recognition-mobilefacenet-arcface.xml ├── face-recognition-resnet100-arcface.bin ├── face-recognition-resnet100-arcface.mapping ├── face-recognition-resnet100-arcface.xml ├── face-recognition-resnet34-arcface.bin ├── face-recognition-resnet34-arcface.mapping ├── face-recognition-resnet34-arcface.xml ├── face-recognition-resnet50-arcface.bin ├── face-recognition-resnet50-arcface.mapping ├── face-recognition-resnet50-arcface.xml ├── faceboxes-pytorch.bin ├── faceboxes-pytorch.mapping ├── faceboxes-pytorch.xml ├── facenet-20180408-102900.bin ├── facenet-20180408-102900.mapping ├── facenet-20180408-102900.xml ├── fast-neural-style-mosaic-onnx.bin ├── fast-neural-style-mosaic-onnx.mapping ├── fast-neural-style-mosaic-onnx.xml ├── faster_rcnn_inception_resnet_v2_atrous_coco.bin ├── faster_rcnn_inception_resnet_v2_atrous_coco.mapping ├── faster_rcnn_inception_resnet_v2_atrous_coco.xml ├── faster_rcnn_inception_v2_coco.bin ├── faster_rcnn_inception_v2_coco.mapping ├── faster_rcnn_inception_v2_coco.xml ├── faster_rcnn_resnet101_coco.bin ├── faster_rcnn_resnet101_coco.mapping ├── faster_rcnn_resnet101_coco.xml ├── faster_rcnn_resnet50_coco.bin ├── faster_rcnn_resnet50_coco.mapping ├── faster_rcnn_resnet50_coco.xml ├── fastseg-large.bin ├── fastseg-large.mapping ├── fastseg-large.xml ├── fastseg-small.bin ├── fastseg-small.mapping ├── fastseg-small.xml ├── fcrn-dp-nyu-depth-v2-tf.bin ├── fcrn-dp-nyu-depth-v2-tf.mapping ├── fcrn-dp-nyu-depth-v2-tf.xml ├── forward-tacotron-duration-prediction.bin ├── forward-tacotron-duration-prediction.mapping ├── forward-tacotron-duration-prediction.xml ├── forward-tacotron-regression.bin ├── forward-tacotron-regression.mapping ├── forward-tacotron-regression.xml ├── gmcnn-places2-tf.bin ├── gmcnn-places2-tf.mapping ├── gmcnn-places2-tf.xml ├── googlenet-v1-tf.bin ├── googlenet-v1-tf.mapping ├── googlenet-v1-tf.xml ├── googlenet-v1.bin ├── googlenet-v1.mapping ├── googlenet-v1.xml ├── googlenet-v2-tf.bin ├── googlenet-v2-tf.mapping ├── googlenet-v2-tf.xml ├── googlenet-v2.bin ├── googlenet-v2.mapping ├── googlenet-v2.xml ├── googlenet-v3-pytorch.bin ├── googlenet-v3-pytorch.mapping ├── googlenet-v3-pytorch.xml ├── googlenet-v3.bin ├── googlenet-v3.mapping ├── googlenet-v3.xml ├── googlenet-v4-tf.bin ├── googlenet-v4-tf.mapping ├── googlenet-v4-tf.xml ├── hbonet-0.25.bin ├── hbonet-0.25.mapping ├── hbonet-0.25.xml ├── hbonet-0.5.bin ├── hbonet-0.5.mapping ├── hbonet-0.5.xml ├── hbonet-1.0.bin ├── hbonet-1.0.mapping ├── hbonet-1.0.xml ├── hrnet-v2-c1-segmentation.bin ├── hrnet-v2-c1-segmentation.mapping ├── hrnet-v2-c1-segmentation.xml ├── human-pose-estimation-3d-0001.bin ├── human-pose-estimation-3d-0001.mapping ├── human-pose-estimation-3d-0001.xml ├── i3d-rgb-tf.bin ├── i3d-rgb-tf.mapping ├── i3d-rgb-tf.xml ├── inception-resnet-v2-tf.bin ├── inception-resnet-v2-tf.mapping ├── inception-resnet-v2-tf.xml ├── license-plate-recognition-barrier-0007.bin ├── license-plate-recognition-barrier-0007.mapping ├── license-plate-recognition-barrier-0007.xml ├── mask_rcnn_inception_resnet_v2_atrous_coco.bin ├── mask_rcnn_inception_resnet_v2_atrous_coco.mapping ├── mask_rcnn_inception_resnet_v2_atrous_coco.xml ├── mask_rcnn_inception_v2_coco.bin ├── mask_rcnn_inception_v2_coco.mapping ├── mask_rcnn_inception_v2_coco.xml ├── mask_rcnn_resnet101_atrous_coco.bin ├── mask_rcnn_resnet101_atrous_coco.mapping ├── mask_rcnn_resnet101_atrous_coco.xml ├── mask_rcnn_resnet50_atrous_coco.bin ├── mask_rcnn_resnet50_atrous_coco.mapping ├── mask_rcnn_resnet50_atrous_coco.xml ├── midasnet.bin ├── midasnet.mapping ├── midasnet.xml ├── mobilefacedet-v1-mxnet.bin ├── mobilefacedet-v1-mxnet.mapping ├── mobilefacedet-v1-mxnet.xml ├── mobilenet-ssd.bin ├── mobilenet-ssd.mapping ├── mobilenet-ssd.xml ├── mobilenet-v1-0.25-128.bin ├── mobilenet-v1-0.25-128.mapping ├── mobilenet-v1-0.25-128.xml ├── mobilenet-v1-0.50-160.bin ├── mobilenet-v1-0.50-160.mapping ├── mobilenet-v1-0.50-160.xml ├── mobilenet-v1-0.50-224.bin ├── mobilenet-v1-0.50-224.mapping ├── mobilenet-v1-0.50-224.xml ├── mobilenet-v1-1.0-224-tf.bin ├── mobilenet-v1-1.0-224-tf.mapping ├── mobilenet-v1-1.0-224-tf.xml ├── mobilenet-v1-1.0-224.bin ├── mobilenet-v1-1.0-224.mapping ├── mobilenet-v1-1.0-224.xml ├── mobilenet-v2-1.0-224.bin ├── mobilenet-v2-1.0-224.mapping ├── mobilenet-v2-1.0-224.xml ├── mobilenet-v2-1.4-224.bin ├── mobilenet-v2-1.4-224.mapping ├── mobilenet-v2-1.4-224.xml ├── mobilenet-v2-pytorch.bin ├── mobilenet-v2-pytorch.mapping ├── mobilenet-v2-pytorch.xml ├── mobilenet-v2.bin ├── mobilenet-v2.mapping ├── mobilenet-v2.xml ├── mobilenet-v3-large-1.0-224-tf.bin ├── mobilenet-v3-large-1.0-224-tf.mapping ├── mobilenet-v3-large-1.0-224-tf.xml ├── mobilenet-v3-small-1.0-224-tf.bin ├── mobilenet-v3-small-1.0-224-tf.mapping ├── mobilenet-v3-small-1.0-224-tf.xml ├── mozilla-deepspeech-0.6.1.bin ├── mozilla-deepspeech-0.6.1.mapping ├── mozilla-deepspeech-0.6.1.xml ├── mozilla-deepspeech-0.8.2.bin ├── mozilla-deepspeech-0.8.2.mapping ├── mozilla-deepspeech-0.8.2.xml ├── mtcnn-o.bin ├── mtcnn-o.mapping ├── mtcnn-o.xml ├── mtcnn-p.bin ├── mtcnn-p.mapping ├── mtcnn-p.xml ├── mtcnn-r.bin ├── mtcnn-r.mapping ├── mtcnn-r.xml ├── netvlad-tf.bin ├── netvlad-tf.mapping ├── netvlad-tf.xml ├── octave-densenet-121-0.125.bin ├── octave-densenet-121-0.125.mapping ├── octave-densenet-121-0.125.xml ├── octave-resnet-101-0.125.bin ├── octave-resnet-101-0.125.mapping ├── octave-resnet-101-0.125.xml ├── octave-resnet-200-0.125.bin ├── octave-resnet-200-0.125.mapping ├── octave-resnet-200-0.125.xml ├── octave-resnet-26-0.25.bin ├── octave-resnet-26-0.25.mapping ├── octave-resnet-26-0.25.xml ├── octave-resnet-50-0.125.bin ├── octave-resnet-50-0.125.mapping ├── octave-resnet-50-0.125.xml ├── octave-resnext-101-0.25.bin ├── octave-resnext-101-0.25.mapping ├── octave-resnext-101-0.25.xml ├── octave-resnext-50-0.25.bin ├── octave-resnext-50-0.25.mapping ├── octave-resnext-50-0.25.xml ├── octave-se-resnet-50-0.125.bin ├── octave-se-resnet-50-0.125.mapping ├── octave-se-resnet-50-0.125.xml ├── open-closed-eye-0001.bin ├── open-closed-eye-0001.mapping ├── open-closed-eye-0001.xml ├── pelee-coco.bin ├── pelee-coco.mapping ├── pelee-coco.xml ├── resnest-50-pytorch.bin ├── resnest-50-pytorch.mapping ├── resnest-50-pytorch.xml ├── resnet-18-pytorch.bin ├── resnet-18-pytorch.mapping ├── resnet-18-pytorch.xml ├── resnet-34-pytorch.bin ├── resnet-34-pytorch.mapping ├── resnet-34-pytorch.xml ├── resnet-50-caffe2.bin ├── resnet-50-caffe2.mapping ├── resnet-50-caffe2.xml ├── resnet-50-pytorch.bin ├── resnet-50-pytorch.mapping ├── resnet-50-pytorch.xml ├── resnet-50-tf.bin ├── resnet-50-tf.mapping ├── resnet-50-tf.xml ├── retinaface-anti-cov.bin ├── retinaface-anti-cov.mapping ├── retinaface-anti-cov.xml ├── retinaface-resnet50.bin ├── retinaface-resnet50.mapping ├── retinaface-resnet50.xml ├── retinanet-tf.bin ├── retinanet-tf.mapping ├── retinanet-tf.xml ├── rfcn-resnet101-coco-tf.bin ├── rfcn-resnet101-coco-tf.mapping ├── rfcn-resnet101-coco-tf.xml ├── se-inception.bin ├── se-inception.mapping ├── se-inception.xml ├── se-resnet-101.bin ├── se-resnet-101.mapping ├── se-resnet-101.xml ├── se-resnet-152.bin ├── se-resnet-152.mapping ├── se-resnet-152.xml ├── se-resnet-50.bin ├── se-resnet-50.mapping ├── se-resnet-50.xml ├── se-resnext-101.bin ├── se-resnext-101.mapping ├── se-resnext-101.xml ├── se-resnext-50.bin ├── se-resnext-50.mapping ├── se-resnext-50.xml ├── shufflenet-v2-x1.0.bin ├── shufflenet-v2-x1.0.mapping ├── shufflenet-v2-x1.0.xml ├── single-human-pose-estimation-0001.bin ├── single-human-pose-estimation-0001.mapping ├── single-human-pose-estimation-0001.xml ├── squeezenet1.0.bin ├── squeezenet1.0.mapping ├── squeezenet1.0.xml ├── squeezenet1.1-caffe2.bin ├── squeezenet1.1-caffe2.mapping ├── squeezenet1.1-caffe2.xml ├── squeezenet1.1.bin ├── squeezenet1.1.mapping ├── squeezenet1.1.xml ├── ssd-resnet34-1200-onnx.bin ├── ssd-resnet34-1200-onnx.mapping ├── ssd-resnet34-1200-onnx.xml ├── ssd300.bin ├── ssd300.mapping ├── ssd300.xml ├── ssd512.bin ├── ssd512.mapping ├── ssd512.xml ├── ssd_mobilenet_v1_coco.bin ├── ssd_mobilenet_v1_coco.mapping ├── ssd_mobilenet_v1_coco.xml ├── ssd_mobilenet_v1_fpn_coco.bin ├── ssd_mobilenet_v1_fpn_coco.mapping ├── ssd_mobilenet_v1_fpn_coco.xml ├── ssd_mobilenet_v2_coco.bin ├── ssd_mobilenet_v2_coco.mapping ├── ssd_mobilenet_v2_coco.xml ├── ssd_resnet50_v1_fpn_coco.bin ├── ssd_resnet50_v1_fpn_coco.mapping ├── ssd_resnet50_v1_fpn_coco.xml ├── ssdlite_mobilenet_v2.bin ├── ssdlite_mobilenet_v2.mapping ├── ssdlite_mobilenet_v2.xml ├── ssh-mxnet.bin ├── ssh-mxnet.mapping ├── ssh-mxnet.xml ├── vehicle-license-plate-detection-barrier-0123.bin ├── vehicle-license-plate-detection-barrier-0123.mapping ├── vehicle-license-plate-detection-barrier-0123.xml ├── vehicle-reid-0001.bin ├── vehicle-reid-0001.mapping ├── vehicle-reid-0001.xml ├── vgg16.bin ├── vgg16.mapping ├── vgg16.xml ├── vgg19-caffe2.bin ├── vgg19-caffe2.mapping ├── vgg19-caffe2.xml ├── vgg19.bin ├── vgg19.mapping ├── vgg19.xml ├── wavernn-rnn.bin ├── wavernn-rnn.mapping ├── wavernn-rnn.xml ├── wavernn-upsampler.bin ├── wavernn-upsampler.mapping ├── wavernn-upsampler.xml ├── yolact-resnet50-fpn-pytorch.bin ├── yolact-resnet50-fpn-pytorch.mapping ├── yolact-resnet50-fpn-pytorch.xml ├── yolo-v1-tiny-tf.bin ├── yolo-v1-tiny-tf.mapping ├── yolo-v1-tiny-tf.xml ├── yolo-v2-tf.bin ├── yolo-v2-tf.mapping ├── yolo-v2-tf.xml ├── yolo-v2-tiny-tf.bin ├── yolo-v2-tiny-tf.mapping ├── yolo-v2-tiny-tf.xml ├── yolo-v3-tf.bin ├── yolo-v3-tf.mapping ├── yolo-v3-tf.xml ├── yolo-v3-tiny-tf.bin ├── yolo-v3-tiny-tf.mapping ├── yolo-v3-tiny-tf.xml ├── yolo-v4-tf.bin ├── yolo-v4-tf.mapping └── yolo-v4-tf.xml 2 directories, 864 files
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