Movidius™ Neural Compute Stick
来源：互联网 发布：himall2.6 源码 编辑：程序博客网 时间：2024/05/29 16:11
Movidius™ Neural Compute Stick - NCS Quick Start
https://developer.movidius.com/startThis is a quick start guide. Visit the download section for deep dive documentation.
1. You will need the following
- Ubuntu 16.04 system, RPI3 Model B or Ubuntu VirtualBox instance.
- Movidius Neural Compute Stick (NCS)
- Internet connection to download and install NC SDK.
2. Install NC SDK
Run these commands on a terminal window
mkdir -p ~/workspace
cd ~/workspace
git clone https://github.com/movidius/ncsdk.git
cd ~/workspace/ncsdk
make install
https://developer.movidius.com/start
strong@foreverstrong:~$ mkdir -p ~/ncs_workspacestrong@foreverstrong:~$ cd ncs_workspace/strong@foreverstrong:~/ncs_workspace$ git clone https://github.com/movidius/ncsdk.gitCloning into 'ncsdk'...remote: Counting objects: 389, done.remote: Total 389 (delta 0), reused 0 (delta 0), pack-reused 389Receiving objects: 100% (389/389), 69.08 MiB | 2.71 MiB/s, done.Resolving deltas: 100% (170/170), done.Checking connectivity... done.strong@foreverstrong:~/ncs_workspace$ lltotal 12drwxrwxr-x 3 strong strong 4096 Dec 20 21:16 ./drwxr-xr-x 51 strong strong 4096 Dec 20 21:15 ../drwxrwxr-x 6 strong strong 4096 Dec 20 21:17 ncsdk/strong@foreverstrong:~/ncs_workspace$ cd ncsdk/strong@foreverstrong:~/ncs_workspace/ncsdk$ lltotal 84drwxrwxr-x 6 strong strong 4096 Dec 20 21:17 ./drwxrwxr-x 3 strong strong 4096 Dec 20 21:16 ../drwxrwxr-x 5 strong strong 4096 Dec 20 21:17 api/drwxrwxr-x 8 strong strong 4096 Dec 20 21:17 docs/drwxrwxr-x 6 strong strong 4096 Dec 20 21:17 examples/drwxrwxr-x 8 strong strong 4096 Dec 20 21:17 .git/-rw-rw-r-- 1 strong strong 481 Dec 20 21:17 .gitattributes-rw-rw-r-- 1 strong strong 212 Dec 20 21:17 .gitignore-rw-rw-r-- 1 strong strong 2055 Dec 20 21:17 install-opencv.sh-rw-rw-r-- 1 strong strong 1699 Dec 20 21:17 install.sh-rw-rw-r-- 1 strong strong 21335 Dec 20 21:17 LICENSE-rw-rw-r-- 1 strong strong 1427 Dec 20 21:17 Makefile-rw-rw-r-- 1 strong strong 145 Dec 20 21:17 ncsdk.conf-rw-rw-r-- 1 strong strong 1841 Dec 20 21:17 README.md-rwxrwxr-x 1 strong strong 1203 Dec 20 21:17 uninstall-opencv.sh*-rw-rw-r-- 1 strong strong 247 Dec 20 21:17 uninstall.shstrong@foreverstrong:~/ncs_workspace/ncsdk$ make install./uninstall-opencv.shmake install starting../install.sh--2017-12-20 21:17:43-- http://ncs-forum-uploads.s3.amazonaws.com/ncsdk/ncsdk_01_11/ncsdk_redirector.txtResolving ncs-forum-uploads.s3.amazonaws.com (ncs-forum-uploads.s3.amazonaws.com)... 52.219.24.68Connecting to ncs-forum-uploads.s3.amazonaws.com (ncs-forum-uploads.s3.amazonaws.com)|52.219.24.68|:80... connected.HTTP request sent, awaiting response... 200 OKLength: 83 [text/plain]Saving to: ‘ncsdk_redirector.txt’ncsdk_redirector.txt 100%[===========================================>] 83 --.-KB/s in 0.005s 2017-12-20 21:17:49 (15.2 KB/s) - ‘ncsdk_redirector.txt’ saved [83/83]--2017-12-20 21:17:49-- http://ncs-forum-uploads.s3.amazonaws.com/ncsdk/ncsdk_01_11/NCSDK-1.11.00.02.tar.gzResolving ncs-forum-uploads.s3.amazonaws.com (ncs-forum-uploads.s3.amazonaws.com)... 52.219.24.60Connecting to ncs-forum-uploads.s3.amazonaws.com (ncs-forum-uploads.s3.amazonaws.com)|52.219.24.60|:80... connected.HTTP request sent, awaiting response... 200 OKLength: 970941 (948K) [application/octet-stream]Saving to: ‘NCSDK-1.11.tar.gz’NCSDK-1.11.tar.gz 5%[=> ] 56.69K --.-KB/s in 5m 27s 2017-12-20 21:23:19 (178 B/s) - Read error at byte 58048/970941 (Connection reset by peer). Retrying.--2017-12-20 21:23:20-- (try: 2) http://ncs-forum-uploads.s3.amazonaws.com/ncsdk/ncsdk_01_11/NCSDK-1.11.00.02.tar.gzConnecting to ncs-forum-uploads.s3.amazonaws.com (ncs-forum-uploads.s3.amazonaws.com)|52.219.24.60|:80... connected.HTTP request sent, awaiting response... 206 Partial ContentLength: 970941 (948K), 912893 (891K) remaining [application/octet-stream]Saving to: ‘NCSDK-1.11.tar.gz’NCSDK-1.11.tar.gz 35%[++============> ] 332.13K --.-KB/s in 14m 32s 2017-12-20 21:37:56 (323 B/s) - Read error at byte 340099/970941 (Connection reset by peer). Retrying.--2017-12-20 21:37:58-- (try: 3) http://ncs-forum-uploads.s3.amazonaws.com/ncsdk/ncsdk_01_11/NCSDK-1.11.00.02.tar.gzConnecting to ncs-forum-uploads.s3.amazonaws.com (ncs-forum-uploads.s3.amazonaws.com)|52.219.24.60|:80... connected.HTTP request sent, awaiting response... 206 Partial ContentLength: 970941 (948K), 630842 (616K) remaining [application/octet-stream]Saving to: ‘NCSDK-1.11.tar.gz’NCSDK-1.11.tar.gz 41%[+++++++++++++++==> ] 395.60K --.-KB/s in 9m 57s 2017-12-20 21:47:58 (109 B/s) - Read error at byte 405099/970941 (Connection reset by peer). Retrying.--2017-12-20 21:48:01-- (try: 4) http://ncs-forum-uploads.s3.amazonaws.com/ncsdk/ncsdk_01_11/NCSDK-1.11.00.02.tar.gzConnecting to ncs-forum-uploads.s3.amazonaws.com (ncs-forum-uploads.s3.amazonaws.com)|52.219.24.60|:80... connected.HTTP request sent, awaiting response... 206 Partial ContentLength: 970941 (948K), 565842 (553K) remaining [application/octet-stream]Saving to: ‘NCSDK-1.11.tar.gz’NCSDK-1.11.tar.gz 100%[++++++++++++++++++=========================>] 948.18K 90.4KB/s in 11s 2017-12-20 21:48:12 (52.5 KB/s) - ‘NCSDK-1.11.tar.gz’ saved [970941/970941][sudo] password for strong: 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sts/sdk-check/data/squeezenet.prototxtNCSDK-1.11.00.02/tests/sdk-check/test_install.pyNCSDK-1.11.00.02/ncsdk.confNCSDK-1.11.00.02/requirements_apt.txtMovidius Neural Compute Toolkit Setup.Checking OS and version...Installing on Ubuntu 16.04Installer NCSDK version: 1.11.00.02Creating setup directory...Remove previous NCSDK references from PYTHONPATH...doneGet:1 file:/var/cuda-repo-8-0-local-ga2 InReleaseIgn:1 file:/var/cuda-repo-8-0-local-ga2 InReleaseGet:2 file:/var/cuda-repo-8-0-local-ga2 Release [574 B]Get:2 file:/var/cuda-repo-8-0-local-ga2 Release [574 B]Hit:3 http://cn.archive.ubuntu.com/ubuntu xenial InReleaseHit:4 http://cn.archive.ubuntu.com/ubuntu xenial-updates InReleaseHit:5 http://cn.archive.ubuntu.com/ubuntu xenial-backports InReleaseGet:7 http://security.ubuntu.com/ubuntu xenial-security InRelease [102 kB]Hit:8 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu xenial InReleaseHit:9 http://ppa.launchpad.net/hzwhuang/ss-qt5/ubuntu xenial InReleaseFetched 102 kB in 2s (43.4 kB/s)Reading package lists...Reading package lists...Building dependency tree...Reading state information...python3 is already the newest version (3.5.1-3).unzip is already the newest version (6.0-20ubuntu1).coreutils is already the newest version (8.25-2ubuntu3~16.04).curl is already the newest version (7.47.0-1ubuntu2.5).git is already the newest version (1:2.7.4-0ubuntu1.3).python3-pip is already the newest version (8.1.1-2ubuntu0.4).The following packages were automatically installed and are no longer required: linux-headers-4.10.0-28 linux-headers-4.10.0-28-generic linux-headers-4.10.0-37 linux-headers-4.10.0-37-generic linux-headers-4.10.0-38 linux-headers-4.10.0-38-generic linux-image-4.10.0-28-generic linux-image-4.10.0-37-generic linux-image-4.10.0-38-generic linux-image-extra-4.10.0-28-generic linux-image-extra-4.10.0-37-generic linux-image-extra-4.10.0-38-generic linux-signed-image-4.10.0-37-generic linux-signed-image-4.10.0-38-genericUse 'sudo apt autoremove' to remove them.0 upgraded, 0 newly installed, 0 to remove and 7 not upgraded.Reading package lists...Building dependency tree...Reading state information...automake is already the newest version (1:1.15-4ubuntu1).gfortran is already the newest version (4:5.3.1-1ubuntu1).libleveldb-dev is already the newest version (1.18-5).libprotobuf-dev is already the newest version (2.6.1-1.3).libsnappy-dev is already the newest version (1.1.3-2).protobuf-compiler is already the newest version (2.6.1-1.3).python-numpy is already the newest version (1:1.11.0-1ubuntu1).python3-dev is already the newest version (3.5.1-3).python3-nose is already the newest version (1.3.7-1).python3-numpy is already the newest version (1:1.11.0-1ubuntu1).python3-yaml is already the newest version (3.11-3build1).byacc is already the newest version (20140715-1).libatlas-base-dev is already the newest version (3.10.2-9).libgflags-dev is already the newest version (2.1.2-3).libgoogle-glog-dev is already the newest version (0.3.4-0.1).libhdf5-serial-dev is already the newest version (1.8.16+docs-4ubuntu1).liblmdb-dev is already the newest version (0.9.17-3).libopencv-dev is already the newest version (2.4.9.1+dfsg-1.5ubuntu1).python3-scipy is already the newest version (0.17.0-1).swig3.0 is already the newest version (3.0.8-0ubuntu3).cmake is already the newest version (3.5.1-1ubuntu3).git is already the newest version (1:2.7.4-0ubuntu1.3).graphviz is already the newest version (2.38.0-12ubuntu2.1).libxml2-dev is already the newest version (2.9.3+dfsg1-1ubuntu0.5).libxslt1-dev is already the newest version (1.1.28-2.1ubuntu0.1).lsb-release is already the newest version (9.20160110ubuntu0.2).python-pip is already the newest version (8.1.1-2ubuntu0.4).python3-pip is already the newest version (8.1.1-2ubuntu0.4).The following packages were automatically installed and are no longer required: linux-headers-4.10.0-28 linux-headers-4.10.0-28-generic linux-headers-4.10.0-37 linux-headers-4.10.0-37-generic linux-headers-4.10.0-38 linux-headers-4.10.0-38-generic linux-image-4.10.0-28-generic linux-image-4.10.0-37-generic linux-image-4.10.0-38-generic linux-image-extra-4.10.0-28-generic linux-image-extra-4.10.0-37-generic linux-image-extra-4.10.0-38-generic linux-signed-image-4.10.0-37-generic linux-signed-image-4.10.0-38-genericUse 'sudo apt autoremove' to remove them.0 upgraded, 0 newly installed, 0 to remove and 7 not upgraded.Reading package lists...Building dependency tree...Reading state information...libboost-all-dev is already the newest version (1.58.0.1ubuntu1).The following packages were automatically installed and are no longer required: linux-headers-4.10.0-28 linux-headers-4.10.0-28-generic linux-headers-4.10.0-37 linux-headers-4.10.0-37-generic linux-headers-4.10.0-38 linux-headers-4.10.0-38-generic linux-image-4.10.0-28-generic linux-image-4.10.0-37-generic linux-image-4.10.0-38-generic linux-image-extra-4.10.0-28-generic linux-image-extra-4.10.0-37-generic linux-image-extra-4.10.0-38-generic linux-signed-image-4.10.0-37-generic linux-signed-image-4.10.0-38-genericUse 'sudo apt autoremove' to remove them.0 upgraded, 0 newly installed, 0 to remove and 7 not upgraded./sbin/ldconfig.real: /usr/local/cuda-8.0/targets/x86_64-linux/lib/libcudnn.so.6 is not a symbolic link/sbin/ldconfig.real: /usr/local/lib/libcudnn.so.6 is not a symbolic linkInstalling python dependencies...Requirement already satisfied (use --upgrade to upgrade): Cython<=0.26,>=0.23.4 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 1))Requirement already satisfied (use --upgrade to upgrade): Markdown<=2.6.8,>=2.6.2 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 2))Requirement already satisfied (use --upgrade to upgrade): Pillow<=4.2.1,>=3.1.0 in /usr/lib/python3/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 3))Requirement already satisfied (use --upgrade to upgrade): PyYAML<=3.12,>=3.11 in /usr/lib/python3/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 4))Requirement already satisfied (use --upgrade to upgrade): graphviz<=0.8,>=0.4.10 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 5))Requirement already satisfied (use --upgrade to upgrade): h5py<=2.7.0,>=2.5.0 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 6))Requirement already satisfied (use --upgrade to upgrade): lxml<=3.8.0,>=3.4.4 in /usr/lib/python3/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 7))Requirement already satisfied (use --upgrade to upgrade): matplotlib<=2.0.2,>=1.5.0 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 8))Requirement already satisfied (use --upgrade to upgrade): numpy<=1.13.3,>=1.13.0 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 9))Requirement already satisfied (use --upgrade to upgrade): protobuf<=3.4.0,>=3.0.0b2 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 10))Requirement already satisfied (use --upgrade to upgrade): python-dateutil<=2.6.1,>=2.4.2 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 11))Requirement already satisfied (use --upgrade to upgrade): scikit-image<=0.13.0,>=0.11.3 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 12))Requirement already satisfied (use --upgrade to upgrade): scipy<=0.19.1,>=0.14.1 in /usr/lib/python3/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 13))Requirement already satisfied (use --upgrade to upgrade): six>=1.10.0 in /usr/lib/python3/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 14))Requirement already satisfied (use --upgrade to upgrade): networkx<=1.11,>=1.10 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 15))Requirement already satisfied (use --upgrade to upgrade): cycler>=0.10 in /usr/local/lib/python3.5/dist-packages (from matplotlib<=2.0.2,>=1.5.0->-r /opt/movidius/NCSDK/requirements.txt (line 8))Requirement already satisfied (use --upgrade to upgrade): pyparsing!=2.0.0,!=2.0.4,!=2.1.2,!=2.1.6,>=1.5.6 in /usr/lib/python3/dist-packages (from matplotlib<=2.0.2,>=1.5.0->-r /opt/movidius/NCSDK/requirements.txt (line 8))Requirement already satisfied (use --upgrade to upgrade): pytz in /usr/local/lib/python3.5/dist-packages (from matplotlib<=2.0.2,>=1.5.0->-r /opt/movidius/NCSDK/requirements.txt (line 8))Requirement already satisfied (use --upgrade to upgrade): setuptools in /usr/lib/python3/dist-packages (from protobuf<=3.4.0,>=3.0.0b2->-r /opt/movidius/NCSDK/requirements.txt (line 10))Requirement already satisfied (use --upgrade to upgrade): PyWavelets>=0.4.0 in /usr/local/lib/python3.5/dist-packages (from scikit-image<=0.13.0,>=0.11.3->-r /opt/movidius/NCSDK/requirements.txt (line 12))Requirement already satisfied (use --upgrade to upgrade): decorator>=3.4.0 in /usr/lib/python3/dist-packages (from networkx<=1.11,>=1.10->-r /opt/movidius/NCSDK/requirements.txt (line 15))You are using pip version 8.1.1, however version 9.0.1 is available.You should consider upgrading via the 'pip install --upgrade pip' command.Requirement already satisfied: Enum34>=1.1.6 in /usr/local/lib/python2.7/dist-packagesChecking whether tensorflow is installed...looking for tensorflow CPU version...You are using pip version 8.1.1, however version 9.0.1 is available.You should consider upgrading via the 'pip install --upgrade pip' command.You are using pip version 8.1.1, however version 9.0.1 is available.You should consider upgrading via the 'pip install --upgrade pip' command.Found tensorflow CPU version 1.4.0.tensorflow already at latest supported version...skipping.Caffe not found, installing caffe...Downloading Caffe...Cloning into 'ssd-caffe'...Switched to a new branch 'ssd'Branch ssd set up to track remote branch ssd from origin.Compiling Caffe...-- The C compiler identification is GNU 5.4.0-- The CXX compiler identification is GNU 5.4.0-- 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 pthread.h-- Looking for pthread.h - found-- Looking for pthread_create-- Looking for pthread_create - not found-- 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 -- Boost version: 1.58.0-- Found the following Boost libraries:-- system-- thread-- filesystem-- regex-- chrono-- date_time-- atomic-- Found GFlags: /usr/include -- Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so)-- Found Glog: /usr/include -- Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so)-- Found Protobuf: /usr/lib/x86_64-linux-gnu/libprotobuf.so -- Found PROTOBUF Compiler: /usr/bin/protoc-- Found HDF5: /usr/lib/x86_64-linux-gnu/hdf5/serial/lib/libhdf5_hl.so;/usr/lib/x86_64-linux-gnu/hdf5/serial/lib/libhdf5.so;/usr/lib/x86_64-linux-gnu/libpthread.so;/usr/lib/x86_64-linux-gnu/libsz.so;/usr/lib/x86_64-linux-gnu/libz.so;/usr/lib/x86_64-linux-gnu/libdl.so;/usr/lib/x86_64-linux-gnu/libm.so (found version "1.8.16") -- Found LMDB: /usr/include -- Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so)-- Found LevelDB: /usr/include -- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so)-- Found Snappy: /usr/include -- Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so)-- -- CUDA is disabled. Building without it...-- OpenCV found (/usr/share/OpenCV)-- Found Atlas: /usr/include -- Found Atlas (include: /usr/include, library: /usr/lib/libatlas.so)-- Found PythonInterp: /usr/bin/python3 (found suitable version "3.5.2", minimum required is "3.0") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.5m.so (found suitable version "3.5.2", minimum required is "3.0") -- Found NumPy: /usr/local/lib/python3.5/dist-packages/numpy/core/include (found suitable version "1.13.3", minimum required is "1.7.1") -- NumPy ver. 1.13.3 found (include: /usr/local/lib/python3.5/dist-packages/numpy/core/include)-- Could NOT find Boost-- Boost version: 1.58.0-- Found the following Boost libraries:-- python-py35-- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Found Git: /usr/bin/git (found version "2.7.4") -- -- ******************* Caffe Configuration Summary *******************-- General:-- Version : 1.0.0-rc3-- Git : rc2-1394-gb4bacbb-dirty-- System : Linux-- C++ compiler : /usr/bin/c++-- Release CXX flags : -O3 -DNDEBUG -fPIC -Wall -Wno-sign-compare -Wno-uninitialized-- Debug CXX flags : -g -fPIC -Wall -Wno-sign-compare -Wno-uninitialized-- Build type : Release-- -- BUILD_SHARED_LIBS : ON-- BUILD_python : ON-- BUILD_matlab : OFF-- BUILD_docs : ON-- CPU_ONLY : ON-- USE_OPENCV : ON-- USE_LEVELDB : ON-- USE_LMDB : ON-- ALLOW_LMDB_NOLOCK : OFF-- -- Dependencies:-- BLAS : Yes (Atlas)-- Boost : Yes (ver. 1.58)-- glog : Yes-- gflags : Yes-- protobuf : Yes (ver. 2.6.1)-- lmdb : Yes (ver. 0.9.17)-- LevelDB : Yes (ver. 1.18)-- Snappy : Yes (ver. 1.1.3)-- OpenCV : Yes (ver. 2.4.9.1)-- CUDA : No-- -- Python:-- Interpreter : /usr/bin/python3 (ver. 3.5.2)-- Libraries : /usr/lib/x86_64-linux-gnu/libpython3.5m.so (ver 3.5.2)-- NumPy : /usr/local/lib/python3.5/dist-packages/numpy/core/include (ver 1.13.3)-- -- Documentaion:-- Doxygen : No-- config_file : -- -- Install:-- Install path : /opt/movidius/ssd-caffe/build/install-- -- Configuring done-- Generating done-- Build files have been written to: /opt/movidius/ssd-caffe/buildmake[1]: Entering directory '/opt/movidius/ssd-caffe/build'make[2]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Entering directory '/opt/movidius/ssd-caffe/build'[ 1%] Running C++/Python protocol buffer compiler on /opt/movidius/ssd-caffe/src/caffe/proto/caffe.protoScanning dependencies of target protomake[3]: Leaving directory '/opt/movidius/ssd-caffe/build'make[3]: Entering directory '/opt/movidius/ssd-caffe/build'[ 1%] Building CXX object src/caffe/CMakeFiles/proto.dir/__/__/include/caffe/proto/caffe.pb.cc.o[ 1%] Linking CXX static library ../../lib/libproto.amake[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[ 1%] Built target protomake[3]: Entering directory '/opt/movidius/ssd-caffe/build'Scanning dependencies of target caffemake[3]: Leaving directory '/opt/movidius/ssd-caffe/build'make[3]: Entering directory '/opt/movidius/ssd-caffe/build'[ 1%] Building CXX object 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'/opt/movidius/ssd-caffe/build'[ 91%] Built target convert_annosetmake[3]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[ 92%] Built target compute_image_meanmake[3]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[ 94%] Built target create_label_mapmake[3]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[ 94%] Built target convert_mnist_siamese_datamake[3]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[ 95%] Built target ssd_detectmake[3]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[ 95%] Built target classificationmake[3]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[ 97%] Built target convert_cifar_datamake[3]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[ 98%] Built target convert_mnist_datamake[3]: Entering directory '/opt/movidius/ssd-caffe/build'make[3]: Leaving directory '/opt/movidius/ssd-caffe/build'[100%] Built target pycaffemake[2]: Leaving directory '/opt/movidius/ssd-caffe/build'Install the project...-- Install configuration: "Release"-- Installing: /opt/movidius/ssd-caffe/build/install/share/Caffe/CaffeConfig.cmake-- Installing: /opt/movidius/ssd-caffe/build/install/share/Caffe/CaffeTargets.cmake-- Installing: /opt/movidius/ssd-caffe/build/install/share/Caffe/CaffeTargets-release.cmake-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/net.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/parallel.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/layers-- Installing: 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/opt/movidius/ssd-caffe/build/install/include/caffe/test-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/test/test_gradient_check_util.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/test/test_caffe_main.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/blocking_queue.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/db.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/db_leveldb.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/gpu_util.cuh-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/im2col.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/insert_splits.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/mkl_alternate.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/upgrade_proto.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/rng.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/signal_handler.h-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/im_transforms.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/io.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/benchmark.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/db_lmdb.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/sampler.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/format.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/device_alternate.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/hdf5.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/cudnn.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/bbox_util.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/util/math_functions.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/caffe.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/blob.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/solver_factory.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/filler.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/solver.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/common.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/internal_thread.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/layer.hpp-- Installing: /opt/movidius/ssd-caffe/build/install/include/caffe/proto/caffe.pb.h-- Installing: /opt/movidius/ssd-caffe/build/install/lib/libcaffe.so.1.0.0-rc3-- Installing: /opt/movidius/ssd-caffe/build/install/lib/libcaffe.so-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/lib/libcaffe.so.1.0.0-rc3" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/lib/libproto.a-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/proto/caffe_pb2.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/proto/__init__.py-- Installing: /opt/movidius/ssd-caffe/build/install/bin/extract_features-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/extract_features" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/compute_image_mean-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/compute_image_mean" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/test_net-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/test_net" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/train_net-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/train_net" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/convert_imageset-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/convert_imageset" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/convert_annoset-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/convert_annoset" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/upgrade_net_proto_binary-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/upgrade_net_proto_binary" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/device_query-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/device_query" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/get_image_size-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/get_image_size" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/create_label_map-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/create_label_map" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/net_speed_benchmark-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/net_speed_benchmark" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/finetune_net-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/finetune_net" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/upgrade_net_proto_text-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/upgrade_net_proto_text" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/caffe-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/caffe" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/upgrade_solver_proto_text-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/upgrade_solver_proto_text" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/convert_cifar_data-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/convert_cifar_data" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/convert_mnist_data-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/convert_mnist_data" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/classification-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/classification" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/convert_mnist_siamese_data-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/convert_mnist_siamese_data" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/bin/ssd_detect-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/bin/ssd_detect" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"-- Installing: /opt/movidius/ssd-caffe/build/install/python/classify.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/draw_net.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/detect.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/requirements.txt-- Up-to-date: /opt/movidius/ssd-caffe/build/install/python/caffe-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/model_libs.py-- Up-to-date: /opt/movidius/ssd-caffe/build/install/python/caffe/proto-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/proto/__init__.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/proto/caffe_pb2.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/imagenet-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/imagenet/ilsvrc_2012_mean.npy-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/__init__.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/io.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/coord_map.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/pycaffe.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/classifier.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/draw.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/detector.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/net_spec.py-- Installing: /opt/movidius/ssd-caffe/build/install/python/caffe/_caffe.so-- Set runtime path of "/opt/movidius/ssd-caffe/build/install/python/caffe/_caffe.so" to "/opt/movidius/ssd-caffe/build/install/lib:/usr/lib/x86_64-linux-gnu/hdf5/serial/lib"make[1]: Leaving directory '/opt/movidius/ssd-caffe/build'Removing previous references to previous caffe installation...doneAdding caffe to PYTHONPATHdpkg-query: package 'python3-mvnc' is not installed and no information is availableUse dpkg --info (= dpkg-deb --info) to examine archive files,and dpkg --contents (= dpkg-deb --contents) to list their contents.dpkg-query: package 'mvnc-dev' is not installed and no information is availableUse dpkg --info (= dpkg-deb --info) to examine archive files,and dpkg --contents (= dpkg-deb --contents) to list their contents.dpkg-query: package 'mvnc' is not installed and no information is availableUse dpkg --info (= dpkg-deb --info) to examine archive files,and dpkg --contents (= dpkg-deb --contents) to list their contents./sbin/ldconfig.real: /usr/local/cuda-8.0/targets/x86_64-linux/lib/libcudnn.so.6 is not a symbolic link/sbin/ldconfig.real: /usr/local/lib/libcudnn.so.6 is not a symbolic linkProcessing /opt/movidius/NCSDK/ncsdk-x86_64/apiInstalling collected packages: mvnc Running setup.py install for mvnc: started Running setup.py install for mvnc: finished with status 'done'Successfully installed mvnc-1.11.0.2You are using pip version 8.1.1, however version 9.0.1 is available.You should consider upgrading via the 'pip install --upgrade pip' command.Processing /opt/movidius/NCSDK/ncsdk-x86_64/apiInstalling collected packages: mvnc Running setup.py install for mvnc: started Running setup.py install for mvnc: finished with status 'done'Successfully installed mvnc-1.11.0.2NCS Libraries have been installed in /usr/local/libNCS Toolkit binaries have been installed in /usr/local/binNCS Include files have been installed in /usr/local/includeNCS Python API has been installed in /opt/movidius, and PYTHONPATH environment variable updatedUpdating udev rules...Adding user 'strong' to 'users' groupSetup is complete.The PYTHONPATH enviroment variable was added to your .bashrc as described in the Caffe documentation. Keep in mind that only newly spawned terminals can see this variable!This means that you need to open a new terminal in order to be able to use the NCSDK.Please provide feedback in our support forum if you encountered difficulties.strong@foreverstrong:~/ncs_workspace/ncsdk$3. Test installation by running built-inexamples
Plug the NCS to your system's USB port andrun these commandson a new terminal window
cd ~/workspace/ncsdk
make examples
strong@foreverstrong:~$ echo $PYTHONPATH:/opt/movidius/caffe/pythonstrong@foreverstrong:~$ cd ncs_workspace/strong@foreverstrong:~/ncs_workspace$ cd ncsdk/strong@foreverstrong:~/ncs_workspace/ncsdk$ lltotal 84drwxrwxr-x 6 strong strong 4096 Dec 20 21:17 ./drwxrwxr-x 3 strong strong 4096 Dec 20 21:16 ../drwxrwxr-x 5 strong strong 4096 Dec 20 21:17 api/drwxrwxr-x 8 strong strong 4096 Dec 20 21:17 docs/drwxrwxr-x 6 strong strong 4096 Dec 20 21:17 examples/drwxrwxr-x 8 strong strong 4096 Dec 20 21:17 .git/-rw-rw-r-- 1 strong strong 481 Dec 20 21:17 .gitattributes-rw-rw-r-- 1 strong strong 212 Dec 20 21:17 .gitignore-rwxrwxr-x 1 strong strong 2055 Dec 20 21:17 install-opencv.sh*-rwxrwxr-x 1 strong strong 1699 Dec 20 21:17 install.sh*-rw-rw-r-- 1 strong strong 21335 Dec 20 21:17 LICENSE-rw-rw-r-- 1 strong strong 1427 Dec 20 21:17 Makefile-rw-rw-r-- 1 strong strong 145 Dec 20 21:17 ncsdk.conf-rw-rw-r-- 1 strong strong 1841 Dec 20 21:17 README.md-rwxrwxr-x 1 strong strong 1203 Dec 20 21:17 uninstall-opencv.sh*-rwxrwxr-x 1 strong strong 247 Dec 20 21:17 uninstall.sh*strong@foreverstrong:~/ncs_workspace/ncsdk$ make examples./install-opencv.shInstalling opencv python for non-Raspbian[sudo] password for strong: Collecting opencv-python Using cached opencv_python-3.3.0.10-cp35-cp35m-manylinux1_x86_64.whlRequirement already satisfied (use --upgrade to upgrade): numpy>=1.11.1 in /usr/local/lib/python3.5/dist-packages (from opencv-python)Installing collected packages: opencv-pythonSuccessfully installed opencv-python-3.3.0.10You are using pip version 8.1.1, however version 9.0.1 is available.You should consider upgrading via the 'pip install --upgrade pip' command.Collecting opencv-contrib-python Using cached opencv_contrib_python-3.3.0.10-cp35-cp35m-manylinux1_x86_64.whlRequirement already satisfied (use --upgrade to upgrade): numpy>=1.11.1 in /usr/local/lib/python3.5/dist-packages (from opencv-contrib-python)Installing collected packages: opencv-contrib-pythonSuccessfully installed opencv-contrib-python-3.3.0.10You are using pip version 8.1.1, however version 9.0.1 is available.You should consider upgrading via the 'pip install --upgrade pip' command.make examples starting.(cd examples; make)make[1]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples'make -C apps/. make[2]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/apps'make -C hello_ncs_py/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/apps/hello_ncs_py'nothing to make, use 'make run' to run.make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/apps/hello_ncs_py'make -C multistick_cpp/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/apps/multistick_cpp'making googlenet(cd ../../caffe/GoogLeNet; make compile; cd ../../apps/multistick_cpp; cp ../../caffe/GoogLeNet/graph ./googlenet.graph;)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'making prereqs(cd ../../data/ilsvrc12; make)make[5]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'--2017-12-20 22:49:55-- https://raw.githubusercontent.com/BVLC/caffe/master/data/ilsvrc12/get_ilsvrc_aux.shResolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.228.133Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.228.133|:443... connected.HTTP request sent, awaiting response... 200 OKLength: 587 [text/plain]Saving to: ‘get_ilsvrc_aux.sh’get_ilsvrc_aux.sh 100%[==========================================>] 587 --.-KB/s in 0s 2017-12-20 22:49:56 (42.2 MB/s) - ‘get_ilsvrc_aux.sh’ saved [587/587]Downloading...--2017-12-20 22:49:56-- http://dl.caffe.berkeleyvision.org/caffe_ilsvrc12.tar.gzResolving dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)... 169.229.222.251Connecting to dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)|169.229.222.251|:80... connected.HTTP request sent, awaiting response... 200 OKLength: 17858008 (17M) [application/octet-stream]Saving to: ‘caffe_ilsvrc12.tar.gz’caffe_ilsvrc12.tar.gz 100%[==========================================>] 17.03M 64.3KB/s in 4m 48s 2017-12-20 22:54:45 (60.5 KB/s) - ‘caffe_ilsvrc12.tar.gz’ saved [17858008/17858008]Unzipping...Done.--2017-12-20 22:54:45-- https://raw.githubusercontent.com/BVLC/caffe/master/python/caffe/imagenet/ilsvrc_2012_mean.npyResolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.228.133Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.228.133|:443... connected.HTTP request sent, awaiting response... 200 OKLength: 1572944 (1.5M) [application/octet-stream]Saving to: ‘ilsvrc_2012_mean.npy’ilsvrc_2012_mean.npy 100%[==========================================>] 1.50M 1.93MB/s in 0.8s 2017-12-20 22:54:47 (1.93 MB/s) - ‘ilsvrc_2012_mean.npy’ saved [1572944/1572944]make[5]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'making prototxtDownloading Prototxt file--2017-12-20 22:54:47-- https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_googlenet/deploy.prototxtResolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.228.133Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.228.133|:443... connected.HTTP request sent, awaiting response... 200 OKLength: 35862 (35K) [text/plain]Saving to: ‘./deploy.prototxt’deploy.prototxt 100%[==========================================>] 35.02K 217KB/s in 0.2s 2017-12-20 22:54:48 (217 KB/s) - ‘./deploy.prototxt’ saved [35862/35862]Adding input shape to prototxt file.making caffemodelDownloading caffemodel file--2017-12-20 22:54:48-- http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodelResolving dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)... 169.229.222.251Connecting to dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)|169.229.222.251|:80... connected.HTTP request sent, awaiting response... 200 OKLength: 53533754 (51M) [application/octet-stream]Saving to: ‘./bvlc_googlenet.caffemodel’bvlc_googlenet.caffemodel 100%[==========================================>] 51.05M 159KB/s in 11m 37s 2017-12-20 23:06:26 (75.0 KB/s) - ‘./bvlc_googlenet.caffemodel’ saved [53533754/53533754]making compilemvNCCompile -w bvlc_googlenet.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'making squeezenet(cd ../../caffe/SqueezeNet; make compile; cd ../../apps/multistick_cpp; cp ../../caffe/SqueezeNet/graph ./squeezenet.graph;)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'making prereqs(cd ../../data/ilsvrc12; make)make[5]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[5]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'Downloading LICENSE file--2017-12-20 23:06:31-- https://github.com/DeepScale/SqueezeNet/raw/master/LICENSEResolving github.com (github.com)... 192.30.255.113, 192.30.255.112Connecting to github.com (github.com)|192.30.255.113|:443... connected.HTTP request sent, awaiting response... 302 FoundLocation: https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/LICENSE [following]--2017-12-20 23:06:32-- https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/LICENSEResolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.228.133Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.228.133|:443... connected.HTTP request sent, awaiting response... 200 OKLength: 1250 (1.2K) [text/plain]Saving to: ‘./LICENSE’LICENSE 100%[==========================================>] 1.22K --.-KB/s in 0s Last-modified header missing -- time-stamps turned off.2017-12-20 23:06:33 (125 MB/s) - ‘./LICENSE’ saved [1250/1250]making prototxtDownloading Prototxt file--2017-12-20 23:06:33-- https://github.com/DeepScale/SqueezeNet/raw/master/SqueezeNet_v1.0/deploy.prototxtResolving github.com (github.com)... 192.30.255.113, 192.30.255.112Connecting to github.com (github.com)|192.30.255.113|:443... connected.HTTP request sent, awaiting response... 302 FoundLocation: https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/deploy.prototxt [following]--2017-12-20 23:06:34-- https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/deploy.prototxtResolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.228.133Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.228.133|:443... connected.HTTP request sent, awaiting response... 200 OKLength: 9640 (9.4K) [text/plain]Saving to: ‘./deploy.prototxt’deploy.prototxt 100%[==========================================>] 9.41K --.-KB/s in 0s 2017-12-20 23:06:34 (39.3 MB/s) - ‘./deploy.prototxt’ saved [9640/9640]modifying prototxt file.making caffemodelDownloading caffemodel file--2017-12-20 23:06:34-- https://github.com/DeepScale/SqueezeNet/raw/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodelResolving github.com (github.com)... 192.30.255.112, 192.30.255.113Connecting to github.com (github.com)|192.30.255.112|:443... connected.HTTP request sent, awaiting response... 302 FoundLocation: https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel [following]--2017-12-20 23:06:36-- https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodelResolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.228.133Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.228.133|:443... connected.HTTP request sent, awaiting response... 200 OKLength: 5001403 (4.8M) [application/octet-stream]Saving to: ‘./squeezenet_v1.0.caffemodel’squeezenet_v1.0.caffemodel 100%[==========================================>] 4.77M 3.19MB/s in 1.5s Last-modified header missing -- time-stamps turned off.2017-12-20 23:06:38 (3.19 MB/s) - ‘./squeezenet_v1.0.caffemodel’ saved [5001403/5001403]making compilemvNCCompile -w squeezenet_v1.0.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'making multistick_cppcp googlenet.graph cpp/googlenet.graph;cp squeezenet.graph cpp/squeezenet.graph;g++ cpp/multistick.cpp cpp/fp16.c -o cpp/multistick_cpp -lmvncCreated cpp/multistick_cpp executablemake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/apps/multistick_cpp'make -C hello_ncs_cpp/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/apps/hello_ncs_cpp'making hello_ncs_cppg++ cpp/hello_ncs.cpp -o cpp/hello_ncs_cpp -lmvncCreated cpp/hello_ncs_cpp executablemake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/apps/hello_ncs_cpp'make[2]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/apps'make -C caffe/. make[2]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe'make -C AlexNet/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/AlexNet'making prereqs(cd ../../data/ilsvrc12; make)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'chmod +x run.pymaking prototxtDownloading Prototxt file--2017-12-20 23:06:39-- https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_alexnet/deploy.prototxtResolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.228.133Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.228.133|:443... connected.HTTP request sent, awaiting response... 200 OKLength: 3629 (3.5K) [text/plain]Saving to: ‘./deploy.prototxt’deploy.prototxt 100%[==========================================>] 3.54K --.-KB/s in 0s 2017-12-20 23:06:40 (47.8 MB/s) - ‘./deploy.prototxt’ saved [3629/3629]Adding input shape to prototxt file.making profilemvNCProfile deploy.prototxt -s 12mvNCProfile v02.00, Copyright @ Movidius Ltd 2016****** WARNING: using empty weights ******/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...Time to Execute : 100.98 msUSB: Myriad Execution FinishedTime to Execute : 96.53 msUSB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Network SummaryDetailed Per Layer Profile Bandwidth time# Name MFLOPs (MB/s) (ms)==============================================================================================================0 data 0.0 99445.9 0.0031 conv1 210.8 7453.1 4.7992 norm1 0.0 712.8 0.7773 pool1 0.6 1246.1 0.4454 pool1_s0 0.0 1396.8 0.0485 conv2_p0 223.9 600.3 6.0576 pool1_s1 0.0 1449.2 0.0467 conv2_p1 223.9 584.7 6.2198 norm2 0.0 699.9 0.5099 pool2 0.4 1217.3 0.29210 conv3 299.0 287.5 8.45311 conv3_s0 0.0 1563.2 0.04012 conv4_p0 112.1 524.6 3.33613 conv3_s1 0.0 1505.2 0.04114 conv4_p1 112.1 527.1 3.32015 conv4_p0_s0 0.0 1281.5 0.04816 conv5_p0 74.8 572.9 2.68517 conv4_p0_s1 0.0 1327.3 0.04718 conv5_p1 74.8 565.0 2.72219 pool5 0.1 918.4 0.09020 fc6 75.5 2143.8 33.59421 fc7 33.6 2132.6 15.00922 fc8 8.2 2648.8 2.95223 prob 0.0 9.3 0.206-------------------------------------------------------------------------------------------------------------- Total inference time 91.74--------------------------------------------------------------------------------------------------------------Generating Profile Report 'output_report.html'...making caffemodelDownloading caffemodel file--2017-12-20 23:06:44-- http://dl.caffe.berkeleyvision.org/bvlc_alexnet.caffemodelResolving dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)... 169.229.222.251Connecting to dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)|169.229.222.251|:80... connected.HTTP request sent, awaiting response... 200 OKLength: 243862414 (233M) [application/octet-stream]Saving to: ‘./bvlc_alexnet.caffemodel’bvlc_alexnet.caffemodel 100%[==========================================>] 232.56M 118KB/s in 31m 24s 2017-12-20 23:38:09 (126 KB/s) - ‘./bvlc_alexnet.caffemodel’ saved [243862414/243862414]making checkmvNCCheck -w bvlc_alexnet.caffemodel -i ../../data/images/cat.jpg -s 12 -id 281 deploy.prototxt -M 110 -S 255mvNCCheck v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in "/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...USB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Result: (1000,)1) 281 0.457032) 282 0.409913) 285 0.0886234) 263 0.0115365) 287 0.0056229Expected: (1000,)1) 281 0.452882) 282 0.41263) 285 0.0885014) 263 0.011525) 287 0.0059471------------------------------------------------------------ Obtained values ------------------------------------------------------------ Obtained Min Pixel Accuracy: 0.9164420887827873% (max allowed=2%), Pass Obtained Average Pixel Accuracy: 0.0022654934582533315% (max allowed=1%), Pass Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass Obtained Pixel-wise L2 error: 0.034660259743106124% (max allowed=1%), Pass Obtained Global Sum Difference: 0.01025998592376709------------------------------------------------------------making compilemvNCCompile -w bvlc_alexnet.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")making cppg++ cpp/run.cpp cpp/fp16.c -o cpp/run_cpp -lmvncmake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/AlexNet'make -C SqueezeNet/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'making prereqs(cd ../../data/ilsvrc12; make)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'LICENSE file already existsmaking prototxtPrototxt file already existsmaking profilemvNCProfile deploy.prototxt -s 12mvNCProfile v02.00, Copyright @ Movidius Ltd 2016****** WARNING: using empty weights ******/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...Time to Execute : 71.05 msUSB: Myriad Execution FinishedTime to Execute : 53.12 msUSB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Network SummaryDetailed Per Layer Profile Bandwidth time# Name MFLOPs (MB/s) (ms)==============================================================================================================0 data 0.0 80051.7 0.0041 conv1 347.7 1624.7 8.9152 pool1 2.6 1443.5 1.5633 fire2/squeeze1x1 9.3 1139.0 0.4894 fire2/expand1x1 6.2 157.9 0.5985 fire2/expand3x3 55.8 459.0 1.8516 fire3/squeeze1x1 12.4 1484.7 0.5007 fire3/expand1x1 6.2 153.4 0.6158 fire3/expand3x3 55.8 477.6 1.7799 fire4/squeeze1x1 24.8 1010.9 0.73810 fire4/expand1x1 24.8 183.3 1.05111 fire4/expand3x3 223.0 390.2 4.44412 pool4 1.7 1271.9 1.16113 fire5/squeeze1x1 11.9 782.8 0.47514 fire5/expand1x1 6.0 154.8 0.34015 fire5/expand3x3 53.7 355.6 1.33016 fire6/squeeze1x1 17.9 695.2 0.54617 fire6/expand1x1 13.4 156.7 0.54118 fire6/expand3x3 120.9 253.6 3.00519 fire7/squeeze1x1 26.9 809.9 0.70320 fire7/expand1x1 13.4 160.5 0.52721 fire7/expand3x3 120.9 252.2 3.02222 fire8/squeeze1x1 35.8 711.3 0.81723 fire8/expand1x1 23.9 163.1 0.74024 fire8/expand3x3 215.0 195.1 5.56825 pool8 0.8 1278.5 0.55726 fire9/squeeze1x1 11.1 539.6 0.42227 fire9/expand1x1 5.5 153.4 0.34128 fire9/expand3x3 49.8 295.9 1.59329 conv10 173.1 334.9 3.40830 pool10 0.3 645.0 0.50031 prob 0.0 9.4 0.203-------------------------------------------------------------------------------------------------------------- Total inference time 48.35--------------------------------------------------------------------------------------------------------------Generating Profile Report 'output_report.html'...making caffemodelcaffemodel file already existsmaking checkmvNCCheck -w squeezenet_v1.0.caffemodel -i ../../data/images/cat.jpg -s 12 -id 281 deploy.prototxt -S 255 -M 120mvNCCheck v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in "/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...USB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Result: (1000, 1, 1)1) 281 0.558112) 282 0.187013) 285 0.109924) 287 0.106515) 264 0.016861Expected: (1000, 1, 1)1) 281 0.560062) 282 0.184693) 285 0.1124) 287 0.103825) 264 0.017227------------------------------------------------------------ Obtained values ------------------------------------------------------------ Obtained Min Pixel Accuracy: 0.47951177693903446% (max allowed=2%), Pass Obtained Average Pixel Accuracy: 0.0019096713003818877% (max allowed=1%), Pass Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass Obtained Pixel-wise L2 error: 0.026146444662612452% (max allowed=1%), Pass Obtained Global Sum Difference: 0.010695278644561768------------------------------------------------------------making compilemvNCCompile -w squeezenet_v1.0.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")making cppg++ cpp/run.cpp cpp/fp16.c -o cpp/run_cpp -lmvncmake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'make -C GoogLeNet/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'making prereqs(cd ../../data/ilsvrc12; make)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'making prototxtPrototxt file already existsmaking profilemvNCProfile deploy.prototxt -s 12mvNCProfile v02.00, Copyright @ Movidius Ltd 2016****** WARNING: using empty weights ******Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...Time to Execute : 122.32 msUSB: Myriad Execution FinishedTime to Execute : 101.49 msUSB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Network SummaryDetailed Per Layer Profile Bandwidth time# Name MFLOPs (MB/s) (ms)==============================================================================================================0 data 0.0 66003.5 0.0041 conv1/7x7_s2 236.0 2465.2 5.7172 pool1/3x3_s2 1.8 1337.6 1.1453 pool1/norm1 0.0 703.8 0.5444 conv2/3x3_reduce 25.7 482.4 0.8105 conv2/3x3 693.6 307.7 11.8866 conv2/norm2 0.0 781.7 1.4697 pool2/3x3_s2 1.4 1387.5 0.8288 inception_3a/1x1 19.3 499.1 0.6229 inception_3a/3x3_reduce 28.9 445.0 0.72410 inception_3a/3x3 173.4 305.6 4.92511 inception_3a/5x5_reduce 4.8 1022.0 0.28712 inception_3a/5x5 20.1 685.3 0.91113 inception_3a/pool 1.4 636.2 0.45114 inception_3a/pool_proj 9.6 633.9 0.47115 inception_3b/1x1 51.4 444.8 1.00216 inception_3b/3x3_reduce 51.4 433.8 1.02717 inception_3b/3x3 346.8 264.2 8.12818 inception_3b/5x5_reduce 12.8 847.5 0.47019 inception_3b/5x5 120.4 523.6 2.57320 inception_3b/pool 1.8 700.0 0.54721 inception_3b/pool_proj 25.7 563.3 0.73522 pool3/3x3_s2 0.8 1203.4 0.59623 inception_4a/1x1 36.1 355.6 1.00024 inception_4a/3x3_reduce 18.1 502.2 0.53225 inception_4a/3x3 70.4 295.2 2.26726 inception_4a/5x5_reduce 3.0 748.9 0.25927 inception_4a/5x5 7.5 362.7 0.52028 inception_4a/pool 0.8 608.3 0.29529 inception_4a/pool_proj 12.0 554.9 0.42930 inception_4b/1x1 32.1 313.9 1.10931 inception_4b/3x3_reduce 22.5 375.2 0.80232 inception_4b/3x3 88.5 284.7 2.85033 inception_4b/5x5_reduce 4.8 542.0 0.39634 inception_4b/5x5 15.1 319.9 0.94035 inception_4b/pool 0.9 635.0 0.30136 inception_4b/pool_proj 12.8 523.3 0.48537 inception_4c/1x1 25.7 392.6 0.80738 inception_4c/3x3_reduce 25.7 380.7 0.83139 inception_4c/3x3 115.6 270.7 3.68640 inception_4c/5x5_reduce 4.8 586.4 0.36641 inception_4c/5x5 15.1 301.3 0.99842 inception_4c/pool 0.9 608.9 0.31443 inception_4c/pool_proj 12.8 525.0 0.48444 inception_4d/1x1 22.5 375.7 0.80145 inception_4d/3x3_reduce 28.9 482.9 0.68846 inception_4d/3x3 146.3 388.7 3.09147 inception_4d/5x5_reduce 6.4 668.8 0.33348 inception_4d/5x5 20.1 380.3 1.05149 inception_4d/pool 0.9 601.5 0.31850 inception_4d/pool_proj 12.8 551.0 0.46151 inception_4e/1x1 53.0 285.7 1.59552 inception_4e/3x3_reduce 33.1 282.0 1.27253 inception_4e/3x3 180.6 280.3 5.07654 inception_4e/5x5_reduce 6.6 490.7 0.46855 inception_4e/5x5 40.1 352.4 1.42056 inception_4e/pool 0.9 604.0 0.32757 inception_4e/pool_proj 26.5 440.4 0.74258 pool4/3x3_s2 0.4 1166.8 0.26759 inception_5a/1x1 20.9 618.4 0.78360 inception_5a/3x3_reduce 13.0 570.0 0.58261 inception_5a/3x3 45.2 553.4 1.84162 inception_5a/5x5_reduce 2.6 350.5 0.36763 inception_5a/5x5 10.0 384.0 0.71964 inception_5a/pool 0.4 490.1 0.15965 inception_5a/pool_proj 10.4 503.8 0.55866 inception_5b/1x1 31.3 597.8 1.15167 inception_5b/3x3_reduce 15.7 593.3 0.64568 inception_5b/3x3 65.0 555.1 2.58369 inception_5b/5x5_reduce 3.9 365.7 0.42170 inception_5b/5x5 15.1 424.9 0.96871 inception_5b/pool 0.4 485.8 0.16072 inception_5b/pool_proj 10.4 497.7 0.56573 pool5/7x7_s1 0.1 462.6 0.20774 loss3/classifier 2.0 2452.2 0.79775 prob 0.0 9.5 0.202-------------------------------------------------------------------------------------------------------------- Total inference time 96.16--------------------------------------------------------------------------------------------------------------Generating Profile Report 'output_report.html'...making caffemodelcaffemodel file already existsmaking checkmvNCCheck -w bvlc_googlenet.caffemodel -i ../../data/images/nps_electric_guitar.png -s 12 -id 546 deploy.prototxt -S 255 -M 110mvNCCheck v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in "Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...USB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Result: (1000,)1) 546 0.996092) 402 0.00388533) 420 8.9228e-054) 327 0.05) 339 0.0Expected: (1000,)1) 546 0.996092) 402 0.00391773) 420 9.0837e-054) 889 1.2875e-055) 486 5.3644e-06------------------------------------------------------------ Obtained values ------------------------------------------------------------ Obtained Min Pixel Accuracy: 0.0032552085031056777% (max allowed=2%), Pass Obtained Average Pixel Accuracy: 7.264380030846951e-06% (max allowed=1%), Pass Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass Obtained Pixel-wise L2 error: 0.00011369892179413199% (max allowed=1%), Pass Obtained Global Sum Difference: 7.236003875732422e-05------------------------------------------------------------making compilemvNCCompile -w bvlc_googlenet.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")making cppg++ cpp/run.cpp cpp/fp16.c -o cpp/run_cpp -lmvncmake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'make[2]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe'make -C tensorflow/. make[2]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow'make -C inception_v3/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow/inception_v3'test -f output/inception-v3.meta || ((wget http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gz && tar zxf inception_v3_2016_08_28.tar.gz && rm inception_v3_2016_08_28.tar.gz) && ./inception-v3.py)--2017-12-20 23:38:29-- http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gzResolving download.tensorflow.org (download.tensorflow.org)... 172.217.160.112, 2404:6800:4012:1::2010Connecting to download.tensorflow.org (download.tensorflow.org)|172.217.160.112|:80... failed: Connection timed out.Connecting to download.tensorflow.org (download.tensorflow.org)|2404:6800:4012:1::2010|:80... failed: Network is unreachable.Makefile:41: recipe for target 'weights' failedmake[3]: *** [weights] Error 4make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow/inception_v3'Makefile:12: recipe for target 'inception_v3/.' failedmake[2]: *** [inception_v3/.] Error 2make[2]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow'Makefile:12: recipe for target 'tensorflow/.' failedmake[1]: *** [tensorflow/.] Error 2make[1]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples'Makefile:56: recipe for target 'examples' failedmake: *** [examples] Error 2strong@foreverstrong:~/ncs_workspace/ncsdk$ make examples./install-opencv.shOpenCV already setup for pythonmake examples starting.(cd examples; make)make[1]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples'make -C apps/. make[2]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/apps'make -C hello_ncs_py/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/apps/hello_ncs_py'nothing to make, use 'make run' to run.make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/apps/hello_ncs_py'make -C multistick_cpp/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/apps/multistick_cpp'making googlenet(cd ../../caffe/GoogLeNet; make compile; cd ../../apps/multistick_cpp; cp ../../caffe/GoogLeNet/graph ./googlenet.graph;)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'making prereqs(cd ../../data/ilsvrc12; make)make[5]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[5]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'making prototxtPrototxt file already existsmaking caffemodelcaffemodel file already existsmaking compilemvNCCompile -w bvlc_googlenet.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'making squeezenet(cd ../../caffe/SqueezeNet; make compile; cd ../../apps/multistick_cpp; cp ../../caffe/SqueezeNet/graph ./squeezenet.graph;)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'making prereqs(cd ../../data/ilsvrc12; make)make[5]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[5]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'LICENSE file already existsmaking prototxtPrototxt file already existsmaking caffemodelcaffemodel file already existsmaking compilemvNCCompile -w squeezenet_v1.0.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'making multistick_cppcp googlenet.graph cpp/googlenet.graph;cp squeezenet.graph cpp/squeezenet.graph;g++ cpp/multistick.cpp cpp/fp16.c -o cpp/multistick_cpp -lmvncCreated cpp/multistick_cpp executablemake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/apps/multistick_cpp'make -C hello_ncs_cpp/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/apps/hello_ncs_cpp'making hello_ncs_cppg++ cpp/hello_ncs.cpp -o cpp/hello_ncs_cpp -lmvncCreated cpp/hello_ncs_cpp executablemake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/apps/hello_ncs_cpp'make[2]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/apps'make -C caffe/. make[2]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe'make -C AlexNet/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/AlexNet'making prereqs(cd ../../data/ilsvrc12; make)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'chmod +x run.pymaking prototxtPrototxt file already existsmaking profilemvNCProfile deploy.prototxt -s 12mvNCProfile v02.00, Copyright @ Movidius Ltd 2016****** WARNING: using empty weights ******/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...Time to Execute : 100.57 msUSB: Myriad Execution FinishedTime to Execute : 95.76 msUSB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Network SummaryDetailed Per Layer Profile Bandwidth time# Name MFLOPs (MB/s) (ms)==============================================================================================================0 data 0.0108803.3 0.0031 conv1 210.8 7370.0 4.8532 norm1 0.0 721.2 0.7683 pool1 0.6 1236.2 0.4484 pool1_s0 0.0 1401.1 0.0485 conv2_p0 223.9 592.0 6.1426 pool1_s1 0.0 1435.9 0.0477 conv2_p1 223.9 599.1 6.0698 norm2 0.0 699.9 0.5099 pool2 0.4 1293.0 0.27510 conv3 299.0 307.9 7.89411 conv3_s0 0.0 1562.1 0.04012 conv4_p0 112.1 521.4 3.35613 conv3_s1 0.0 1275.1 0.04914 conv4_p1 112.1 549.5 3.18515 conv4_p0_s0 0.0 1346.9 0.04616 conv5_p0 74.8 553.2 2.78017 conv4_p0_s1 0.0 1338.0 0.04618 conv5_p1 74.8 571.4 2.69219 pool5 0.1 918.4 0.09020 fc6 75.5 2142.9 33.60821 fc7 33.6 2128.2 15.04022 fc8 8.2 2643.6 2.95823 prob 0.0 9.5 0.200-------------------------------------------------------------------------------------------------------------- Total inference time 91.15--------------------------------------------------------------------------------------------------------------Generating Profile Report 'output_report.html'...making caffemodelcaffemodel file already existsmaking checkmvNCCheck -w bvlc_alexnet.caffemodel -i ../../data/images/cat.jpg -s 12 -id 281 deploy.prototxt -M 110 -S 255mvNCCheck v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in "/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...USB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Result: (1000,)1) 281 0.457032) 282 0.409913) 285 0.0886234) 263 0.0115365) 287 0.0056229Expected: (1000,)1) 281 0.452882) 282 0.41263) 285 0.0885014) 263 0.011525) 287 0.0059471------------------------------------------------------------ Obtained values ------------------------------------------------------------ Obtained Min Pixel Accuracy: 0.9164420887827873% (max allowed=2%), Pass Obtained Average Pixel Accuracy: 0.0022654934582533315% (max allowed=1%), Pass Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass Obtained Pixel-wise L2 error: 0.034660259743106124% (max allowed=1%), Pass Obtained Global Sum Difference: 0.01025998592376709------------------------------------------------------------making compilemvNCCompile -w bvlc_alexnet.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")making cppg++ cpp/run.cpp cpp/fp16.c -o cpp/run_cpp -lmvncmake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/AlexNet'make -C SqueezeNet/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'making prereqs(cd ../../data/ilsvrc12; make)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'LICENSE file already existsmaking prototxtPrototxt file already existsmaking profilemvNCProfile deploy.prototxt -s 12mvNCProfile v02.00, Copyright @ Movidius Ltd 2016****** WARNING: using empty weights ******/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...Time to Execute : 71.01 msUSB: Myriad Execution FinishedTime to Execute : 52.75 msUSB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Network SummaryDetailed Per Layer Profile Bandwidth time# Name MFLOPs (MB/s) (ms)==============================================================================================================0 data 0.0 93853.7 0.0031 conv1 347.7 1628.6 8.8932 pool1 2.6 1443.3 1.5633 fire2/squeeze1x1 9.3 1144.4 0.4874 fire2/expand1x1 6.2 158.4 0.5965 fire2/expand3x3 55.8 457.1 1.8586 fire3/squeeze1x1 12.4 1475.0 0.5037 fire3/expand1x1 6.2 155.7 0.6068 fire3/expand3x3 55.8 468.3 1.8149 fire4/squeeze1x1 24.8 1030.7 0.72410 fire4/expand1x1 24.8 185.0 1.04211 fire4/expand3x3 223.0 390.4 4.44212 pool4 1.7 1275.7 1.15813 fire5/squeeze1x1 11.9 784.5 0.47414 fire5/expand1x1 6.0 154.1 0.34115 fire5/expand3x3 53.7 365.5 1.29416 fire6/squeeze1x1 17.9 694.4 0.54617 fire6/expand1x1 13.4 160.1 0.52918 fire6/expand3x3 120.9 256.9 2.96719 fire7/squeeze1x1 26.9 805.1 0.70720 fire7/expand1x1 13.4 159.1 0.53221 fire7/expand3x3 120.9 257.3 2.96222 fire8/squeeze1x1 35.8 745.0 0.78023 fire8/expand1x1 23.9 164.2 0.73524 fire8/expand3x3 215.0 191.1 5.68525 pool8 0.8 1221.4 0.58326 fire9/squeeze1x1 11.1 590.9 0.38527 fire9/expand1x1 5.5 154.6 0.33928 fire9/expand3x3 49.8 288.4 1.63429 conv10 173.1 339.5 3.36230 pool10 0.3 664.7 0.48531 prob 0.0 9.3 0.205-------------------------------------------------------------------------------------------------------------- Total inference time 48.24--------------------------------------------------------------------------------------------------------------Generating Profile Report 'output_report.html'...making caffemodelcaffemodel file already existsmaking checkmvNCCheck -w squeezenet_v1.0.caffemodel -i ../../data/images/cat.jpg -s 12 -id 281 deploy.prototxt -S 255 -M 120mvNCCheck v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in "/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...USB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Result: (1000, 1, 1)1) 281 0.558112) 282 0.187013) 285 0.109924) 287 0.106515) 264 0.016861Expected: (1000, 1, 1)1) 281 0.560062) 282 0.184693) 285 0.1124) 287 0.103825) 264 0.017227------------------------------------------------------------ Obtained values ------------------------------------------------------------ Obtained Min Pixel Accuracy: 0.47951177693903446% (max allowed=2%), Pass Obtained Average Pixel Accuracy: 0.0019096713003818877% (max allowed=1%), Pass Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass Obtained Pixel-wise L2 error: 0.026146444662612452% (max allowed=1%), Pass Obtained Global Sum Difference: 0.010695278644561768------------------------------------------------------------making compilemvNCCompile -w squeezenet_v1.0.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")making cppg++ cpp/run.cpp cpp/fp16.c -o cpp/run_cpp -lmvncmake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'make -C GoogLeNet/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'making prereqs(cd ../../data/ilsvrc12; make)make[4]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'making prototxtPrototxt file already existsmaking profilemvNCProfile deploy.prototxt -s 12mvNCProfile v02.00, Copyright @ Movidius Ltd 2016****** WARNING: using empty weights ******Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...Time to Execute : 123.32 msUSB: Myriad Execution FinishedTime to Execute : 101.38 msUSB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Network SummaryDetailed Per Layer Profile Bandwidth time# Name MFLOPs (MB/s) (ms)==============================================================================================================0 data 0.0 49531.1 0.0061 conv1/7x7_s2 236.0 2465.3 5.7162 pool1/3x3_s2 1.8 1339.7 1.1433 pool1/norm1 0.0 693.6 0.5524 conv2/3x3_reduce 25.7 475.4 0.8225 conv2/3x3 693.6 305.4 11.9746 conv2/norm2 0.0 777.6 1.4777 pool2/3x3_s2 1.4 1388.9 0.8278 inception_3a/1x1 19.3 511.7 0.6079 inception_3a/3x3_reduce 28.9 453.5 0.71110 inception_3a/3x3 173.4 311.6 4.83111 inception_3a/5x5_reduce 4.8 995.1 0.29412 inception_3a/5x5 20.1 685.7 0.91013 inception_3a/pool 1.4 635.5 0.45214 inception_3a/pool_proj 9.6 624.0 0.47915 inception_3b/1x1 51.4 435.9 1.02216 inception_3b/3x3_reduce 51.4 440.2 1.01217 inception_3b/3x3 346.8 261.9 8.20018 inception_3b/5x5_reduce 12.8 771.3 0.51719 inception_3b/5x5 120.4 530.9 2.53820 inception_3b/pool 1.8 663.8 0.57721 inception_3b/pool_proj 25.7 603.5 0.68622 pool3/3x3_s2 0.8 1195.3 0.60123 inception_4a/1x1 36.1 354.1 1.00424 inception_4a/3x3_reduce 18.1 501.4 0.53325 inception_4a/3x3 70.4 301.4 2.22126 inception_4a/5x5_reduce 3.0 664.8 0.29227 inception_4a/5x5 7.5 407.2 0.46328 inception_4a/pool 0.8 587.0 0.30629 inception_4a/pool_proj 12.0 557.0 0.42830 inception_4b/1x1 32.1 303.3 1.14731 inception_4b/3x3_reduce 22.5 391.3 0.76932 inception_4b/3x3 88.5 282.0 2.87733 inception_4b/5x5_reduce 4.8 586.2 0.36734 inception_4b/5x5 15.1 300.5 1.00035 inception_4b/pool 0.9 627.3 0.30536 inception_4b/pool_proj 12.8 462.9 0.54937 inception_4c/1x1 25.7 395.3 0.80138 inception_4c/3x3_reduce 25.7 391.5 0.80839 inception_4c/3x3 115.6 269.1 3.70640 inception_4c/5x5_reduce 4.8 588.0 0.36541 inception_4c/5x5 15.1 303.7 0.99042 inception_4c/pool 0.9 637.4 0.30043 inception_4c/pool_proj 12.8 542.7 0.46844 inception_4d/1x1 22.5 392.7 0.76745 inception_4d/3x3_reduce 28.9 460.8 0.72146 inception_4d/3x3 146.3 393.4 3.05347 inception_4d/5x5_reduce 6.4 677.3 0.32948 inception_4d/5x5 20.1 382.4 1.04549 inception_4d/pool 0.9 603.0 0.31750 inception_4d/pool_proj 12.8 546.9 0.46451 inception_4e/1x1 53.0 296.8 1.53552 inception_4e/3x3_reduce 33.1 267.6 1.34053 inception_4e/3x3 180.6 279.9 5.08454 inception_4e/5x5_reduce 6.6 493.2 0.46655 inception_4e/5x5 40.1 353.6 1.41556 inception_4e/pool 0.9 620.6 0.31857 inception_4e/pool_proj 26.5 441.8 0.73958 pool4/3x3_s2 0.4 1197.3 0.26059 inception_5a/1x1 20.9 602.7 0.80460 inception_5a/3x3_reduce 13.0 545.7 0.60861 inception_5a/3x3 45.2 563.7 1.80862 inception_5a/5x5_reduce 2.6 348.2 0.36963 inception_5a/5x5 10.0 390.6 0.70764 inception_5a/pool 0.4 492.8 0.15865 inception_5a/pool_proj 10.4 509.9 0.55166 inception_5b/1x1 31.3 585.4 1.17567 inception_5b/3x3_reduce 15.7 604.1 0.63368 inception_5b/3x3 65.0 574.2 2.49769 inception_5b/5x5_reduce 3.9 347.7 0.44370 inception_5b/5x5 15.1 424.5 0.96971 inception_5b/pool 0.4 492.0 0.15872 inception_5b/pool_proj 10.4 500.1 0.56273 pool5/7x7_s1 0.1 462.0 0.20774 loss3/classifier 2.0 2454.1 0.79775 prob 0.0 9.4 0.204-------------------------------------------------------------------------------------------------------------- Total inference time 96.15--------------------------------------------------------------------------------------------------------------Generating Profile Report 'output_report.html'...making caffemodelcaffemodel file already existsmaking checkmvNCCheck -w bvlc_googlenet.caffemodel -i ../../data/images/nps_electric_guitar.png -s 12 -id 546 deploy.prototxt -S 255 -M 110mvNCCheck v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in "Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...USB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Result: (1000,)1) 546 0.996092) 402 0.00388533) 420 8.9228e-054) 327 0.05) 339 0.0Expected: (1000,)1) 546 0.996092) 402 0.00391773) 420 9.0837e-054) 889 1.2875e-055) 486 5.3644e-06------------------------------------------------------------ Obtained values ------------------------------------------------------------ Obtained Min Pixel Accuracy: 0.0032552085031056777% (max allowed=2%), Pass Obtained Average Pixel Accuracy: 7.264380030846951e-06% (max allowed=1%), Pass Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass Obtained Pixel-wise L2 error: 0.00011369892179413199% (max allowed=1%), Pass Obtained Global Sum Difference: 7.236003875732422e-05------------------------------------------------------------making compilemvNCCompile -w bvlc_googlenet.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")making cppg++ cpp/run.cpp cpp/fp16.c -o cpp/run_cpp -lmvncmake[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'make[2]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe'make -C tensorflow/. make[2]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow'make -C inception_v3/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow/inception_v3'test -f output/inception-v3.meta || ((wget http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gz && tar zxf inception_v3_2016_08_28.tar.gz && rm inception_v3_2016_08_28.tar.gz) && ./inception-v3.py)--2017-12-20 23:41:23-- http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gzResolving download.tensorflow.org (download.tensorflow.org)... 172.217.27.144, 2404:6800:4012:1::2010Connecting to download.tensorflow.org (download.tensorflow.org)|172.217.27.144|:80... connected.HTTP request sent, awaiting response... 200 OKLength: 100885009 (96M) [application/x-tar]Saving to: ‘inception_v3_2016_08_28.tar.gz’inception_v3_2016_08_28.tar 100%[==========================================>] 96.21M 3.26MB/s in 31s 2017-12-20 23:41:55 (3.08 MB/s) - ‘inception_v3_2016_08_28.tar.gz’ saved [100885009/100885009]2017-12-20 23:42:02.279150: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMAmvNCProfile -s 12 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1mvNCProfile v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py:766: DeprecationWarning: builtin type EagerTensor has no __module__ attribute EagerTensor = c_api.TFE_Py_InitEagerTensor(_EagerTensorBase)/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead if d.decorator_argspec is not None), _inspect.getargspec(target))Layer InceptionV3/InceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6a/Branch_0/Conv2d_1a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_3x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0d_3x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0d_3x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...Time to Execute : 379.27 msUSB: Myriad Execution FinishedTime to Execute : 333.25 msUSB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Network SummaryDetailed Per Layer Profile Bandwidth time# Name MFLOPs (MB/s) (ms)==============================================================================================================0 InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu 38.4 1087.6 4.2351 InceptionV3/InceptionV3/Conv2d_2a_3x3/Relu 398.3 986.1 12.3862 InceptionV3/InceptionV3/Conv2d_2b_3x3/Relu 796.6 665.5 17.8913 InceptionV3/InceptionV3/MaxPool_3a_3x3/MaxPool 3.1 1434.4 1.8394 InceptionV3/InceptionV3/Conv2d_3b_1x1/Relu 54.6 429.1 1.5395 InceptionV3/InceptionV3/Conv2d_4a_3x3/Relu 1393.7 247.2 30.6806 InceptionV3/InceptionV3/MaxPool_5a_3x3/MaxPool 2.1 1274.5 1.4497 InceptionV3/InceptionV3/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu 30.1 647.7 0.7298 InceptionV3/InceptionV3/Mixed_5b/Branch_1/Conv2d_0a_1x1/Relu 22.6 755.3 0.6179 InceptionV3/InceptionV3/Mixed_5b/Branch_1/Conv2d_0b_5x5/Relu 188.2 642.8 4.59410 InceptionV3/InceptionV3/Mixed_5b/Branch_2/Conv2d_0a_1x1/Relu 30.1 669.8 0.70511 InceptionV3/InceptionV3/Mixed_5b/Branch_2/Conv2d_0b_3x3/Relu 135.5 487.0 2.98412 InceptionV3/InceptionV3/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu 203.2 512.6 4.25013 InceptionV3/InceptionV3/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool 4.2 518.2 0.86614 InceptionV3/InceptionV3/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu 15.1 889.4 0.51815 InceptionV3/InceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu 40.1 695.8 0.90516 InceptionV3/InceptionV3/Mixed_5c/Branch_1/Conv2d_0b_1x1/Relu 30.1 857.3 0.72517 InceptionV3/InceptionV3/Mixed_5c/Branch_1/Conv_1_0c_5x5/Relu 188.2 640.8 4.60918 InceptionV3/InceptionV3/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu 40.1 698.2 0.90219 InceptionV3/InceptionV3/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu 135.5 484.8 2.99720 InceptionV3/InceptionV3/Mixed_5c/Branch_2/Conv2d_0c_3x3/Relu 203.2 510.4 4.26821 InceptionV3/InceptionV3/Mixed_5c/Branch_3/AvgPool_0a_3x3/AvgPool 5.6 557.2 1.07422 InceptionV3/InceptionV3/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu 40.1 689.6 0.91323 InceptionV3/InceptionV3/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu 45.2 722.0 0.98124 InceptionV3/InceptionV3/Mixed_5d/Branch_1/Conv2d_0a_1x1/Relu 33.9 905.9 0.77225 InceptionV3/InceptionV3/Mixed_5d/Branch_1/Conv2d_0b_5x5/Relu 188.2 642.3 4.59826 InceptionV3/InceptionV3/Mixed_5d/Branch_2/Conv2d_0a_1x1/Relu 45.2 722.8 0.98027 InceptionV3/InceptionV3/Mixed_5d/Branch_2/Conv2d_0b_3x3/Relu 135.5 488.8 2.97328 InceptionV3/InceptionV3/Mixed_5d/Branch_2/Conv2d_0c_3x3/Relu 203.2 516.9 4.21429 InceptionV3/InceptionV3/Mixed_5d/Branch_3/AvgPool_0a_3x3/AvgPool 6.4 553.4 1.21730 InceptionV3/InceptionV3/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu 45.2 671.9 1.05431 InceptionV3/InceptionV3/Mixed_6a/Branch_0/Conv2d_1a_1x1/Relu 575.3 680.2 11.70432 InceptionV3/InceptionV3/Mixed_6a/Branch_1/Conv2d_0a_1x1/Relu 45.2 726.2 0.97533 InceptionV3/InceptionV3/Mixed_6a/Branch_1/Conv2d_0b_3x3/Relu 135.5 478.9 3.03434 InceptionV3/InceptionV3/Mixed_6a/Branch_1/Conv2d_1a_1x1/Relu 47.9 1419.3 1.53535 InceptionV3/InceptionV3/Mixed_6a/Branch_2/MaxPool_1a_3x3/MaxPool 0.7 1382.5 0.48736 InceptionV3/InceptionV3/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu 85.2 329.2 2.14137 InceptionV3/InceptionV3/Mixed_6b/Branch_1/Conv2d_0a_1x1/Relu 56.8 470.2 1.30038 InceptionV3/InceptionV3/Mixed_6b/Branch_1/Conv2d_0b_1x7/Relu 66.3 325.8 2.19339 InceptionV3/InceptionV3/Mixed_6b/Branch_1/Conv2d_0c_7x1/Relu 99.4 311.8 2.64540 InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0a_1x1/Relu 56.8 453.6 1.34741 InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0b_7x1/Relu 66.3 323.7 2.20742 InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0c_1x7/Relu 66.3 314.0 2.27543 InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0d_7x1/Relu 66.3 315.0 2.26844 InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0e_1x7/Relu 99.4 317.8 2.59545 InceptionV3/InceptionV3/Mixed_6b/Branch_3/AvgPool_0a_3x3/AvgPool 4.0 414.2 1.02546 InceptionV3/InceptionV3/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu 85.2 317.3 2.22147 InceptionV3/InceptionV3/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu 85.2 331.8 2.12448 InceptionV3/InceptionV3/Mixed_6c/Branch_1/Conv2d_0a_1x1/Relu 71.0 295.7 2.22649 InceptionV3/InceptionV3/Mixed_6c/Branch_1/Conv2d_0b_1x7/Relu 103.6 231.2 4.15950 InceptionV3/InceptionV3/Mixed_6c/Branch_1/Conv2d_0c_7x1/Relu 124.3 269.6 3.82151 InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0a_1x1/Relu 71.0 285.8 2.30352 InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0b_7x1/Relu 103.6 231.5 4.15353 InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0c_1x7/Relu 103.6 231.9 4.14454 InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0d_7x1/Relu 103.6 239.1 4.02155 InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0e_1x7/Relu 124.3 263.8 3.90556 InceptionV3/InceptionV3/Mixed_6c/Branch_3/AvgPool_0a_3x3/AvgPool 4.0 407.3 1.04357 InceptionV3/InceptionV3/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu 85.2 330.0 2.13658 InceptionV3/InceptionV3/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu 85.2 329.1 2.14259 InceptionV3/InceptionV3/Mixed_6d/Branch_1/Conv2d_0a_1x1/Relu 71.0 291.9 2.25460 InceptionV3/InceptionV3/Mixed_6d/Branch_1/Conv2d_0b_1x7/Relu 103.6 233.3 4.12161 InceptionV3/InceptionV3/Mixed_6d/Branch_1/Conv2d_0c_7x1/Relu 124.3 264.1 3.90062 InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0a_1x1/Relu 71.0 289.5 2.27363 InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0b_7x1/Relu 103.6 230.0 4.18064 InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0c_1x7/Relu 103.6 224.5 4.28365 InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0d_7x1/Relu 103.6 239.5 4.01566 InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0e_1x7/Relu 124.3 262.7 3.92167 InceptionV3/InceptionV3/Mixed_6d/Branch_3/AvgPool_0a_3x3/AvgPool 4.0 419.1 1.01468 InceptionV3/InceptionV3/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu 85.2 318.6 2.21369 InceptionV3/InceptionV3/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu 85.2 323.9 2.17670 InceptionV3/InceptionV3/Mixed_6e/Branch_1/Conv2d_0a_1x1/Relu 85.2 328.3 2.14771 InceptionV3/InceptionV3/Mixed_6e/Branch_1/Conv2d_0b_1x7/Relu 149.2 318.9 3.87472 InceptionV3/InceptionV3/Mixed_6e/Branch_1/Conv2d_0c_7x1/Relu 149.2 323.6 3.81873 InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0a_1x1/Relu 85.2 320.0 2.20374 InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0b_7x1/Relu 149.2 321.7 3.84075 InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0c_1x7/Relu 149.2 312.0 3.96076 InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0d_7x1/Relu 149.2 314.8 3.92577 InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0e_1x7/Relu 149.2 319.8 3.86378 InceptionV3/InceptionV3/Mixed_6e/Branch_3/AvgPool_0a_3x3/AvgPool 4.0 417.7 1.01779 InceptionV3/InceptionV3/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu 85.2 333.0 2.11780 InceptionV3/InceptionV3/Mixed_7a/Branch_0/Conv2d_0a_1x1/Relu 85.2 329.7 2.13881 InceptionV3/InceptionV3/Mixed_7a/Branch_0/Conv2d_1a_3x3/Relu 70.8 917.8 2.19382 InceptionV3/InceptionV3/Mixed_7a/Branch_1/Conv2d_0a_1x1/Relu 85.2 328.7 2.14483 InceptionV3/InceptionV3/Mixed_7a/Branch_1/Conv2d_0b_1x7/Relu 149.2 316.8 3.90084 InceptionV3/InceptionV3/Mixed_7a/Branch_1/Conv2d_0c_7x1/Relu 149.2 317.6 3.89185 InceptionV3/InceptionV3/Mixed_7a/Branch_1/Conv2d_1a_3x3/Relu 42.5 1042.0 1.52586 InceptionV3/InceptionV3/Mixed_7a/Branch_2/MaxPool_1a_3x3/MaxPool 0.4 1242.2 0.34287 InceptionV3/InceptionV3/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu 52.4 528.7 1.77488 InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0a_1x1/Relu 62.9 599.2 1.82689 InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu 56.6 566.0 1.74390 InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_3x1/Relu 56.6 552.0 1.78791 InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0a_1x1/Relu 73.4 668.9 1.87092 InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0b_3x3/Relu 198.2 714.7 4.83093 InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu 56.6 552.7 1.78594 InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0d_3x1/Relu 56.6 547.6 1.80295 InceptionV3/InceptionV3/Mixed_7b/Branch_3/AvgPool_0a_3x3/AvgPool 1.5 272.4 0.58396 InceptionV3/InceptionV3/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu 31.5 473.6 1.32097 InceptionV3/InceptionV3/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu 83.9 528.7 2.83898 InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0a_1x1/Relu 100.7 739.6 2.36799 InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu 56.6 550.7 1.792100 InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu 56.6 554.2 1.780101 InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0a_1x1/Relu 117.4 577.6 3.464102 InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0b_3x3/Relu 198.2 731.4 4.720103 InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu 56.6 570.5 1.729104 InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0d_3x1/Relu 56.6 570.1 1.730105 InceptionV3/InceptionV3/Mixed_7c/Branch_3/AvgPool_0a_3x3/AvgPool 2.4 269.1 0.944106 InceptionV3/InceptionV3/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu 50.3 643.5 1.555107 InceptionV3/AuxLogits/AvgPool_1a_5x5/AvgPool 1.0 762.8 0.557108 InceptionV3/AuxLogits/Conv2d_1b_1x1/Relu 4.9 550.2 0.408109 InceptionV3/AuxLogits/Conv2d_2a_5x5/Relu 4.9 1106.3 4.408110 InceptionV3/AuxLogits/Conv2d_2b_1x1/BiasAdd 1.5 1937.4 0.759111 InceptionV3/Logits/AvgPool_1a_8x8/AvgPool 0.3 1057.9 0.240112 InceptionV3/Logits/Conv2d_1c_1x1/BiasAdd 4.1 2032.0 1.927113 InceptionV3/Predictions/Softmax 0.0 18.6 0.205-------------------------------------------------------------------------------------------------------------- Total inference time 326.58--------------------------------------------------------------------------------------------------------------Generating Profile Report 'output_report.html'...mvNCCheck -s 12 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1 -i ../../data/images/cat.jpg -id 917 -M 128 -S 2 -cs 0,1,2mvNCCheck v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py:766: DeprecationWarning: builtin type EagerTensor has no __module__ attribute EagerTensor = c_api.TFE_Py_InitEagerTensor(_EagerTensorBase)/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead if d.decorator_argspec is not None), _inspect.getargspec(target))/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in "Layer InceptionV3/InceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6a/Branch_0/Conv2d_1a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_3x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0d_3x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0d_3x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV3/InceptionV3/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...USB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Result: (1, 1, 1001)1) 917 1.02) 1000 0.03) 328 0.04) 340 0.05) 339 0.0Expected: (1, 1, 1, 1001)1) 917 1.02) 1000 0.03) 328 0.04) 340 0.05) 339 0.0------------------------------------------------------------ Obtained values ------------------------------------------------------------ Obtained Min Pixel Accuracy: 0.0% (max allowed=2%), Pass Obtained Average Pixel Accuracy: 0.0% (max allowed=1%), Pass Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass Obtained Pixel-wise L2 error: 0.0% (max allowed=1%), Pass Obtained Global Sum Difference: 0.0------------------------------------------------------------test -f graph || mvNCCompile -s 12 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow/inception_v3'make -C inception_v1/. make[3]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow/inception_v1'test -f output/inception-v1.meta || ((wget http://download.tensorflow.org/models/inception_v1_2016_08_28.tar.gz && tar zxf inception_v1_2016_08_28.tar.gz && rm inception_v1_2016_08_28.tar.gz) && ./inception-v1.py)--2017-12-20 23:42:36-- http://download.tensorflow.org/models/inception_v1_2016_08_28.tar.gzResolving download.tensorflow.org (download.tensorflow.org)... 216.58.200.48, 2404:6800:4012:1::2010Connecting to download.tensorflow.org (download.tensorflow.org)|216.58.200.48|:80... connected.HTTP request sent, awaiting response... 200 OKLength: 24642554 (24M) [application/x-tar]Saving to: ‘inception_v1_2016_08_28.tar.gz’inception_v1_2016_08_28.tar 100%[==========================================>] 23.50M 3.37MB/s in 6.7s 2017-12-20 23:42:43 (3.50 MB/s) - ‘inception_v1_2016_08_28.tar.gz’ saved [24642554/24642554]2017-12-20 23:42:45.588958: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMAmvNCProfile -s 12 output/inception-v1.meta -in=input -on=InceptionV1/Logits/Predictions/Reshape_1mvNCProfile v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py:766: DeprecationWarning: builtin type EagerTensor has no __module__ attribute EagerTensor = c_api.TFE_Py_InitEagerTensor(_EagerTensorBase)/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead if d.decorator_argspec is not None), _inspect.getargspec(target))Layer InceptionV1/InceptionV1/Mixed_3c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_3c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4e/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4e/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4f/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4f/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...Time to Execute : 117.19 msUSB: Myriad Execution FinishedTime to Execute : 96.49 msUSB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Network SummaryDetailed Per Layer Profile Bandwidth time# Name MFLOPs (MB/s) (ms)==============================================================================================================0 InceptionV1/InceptionV1/Conv2d_1a_7x7/Relu 236.0 1912.7 7.3681 InceptionV1/InceptionV1/MaxPool_2a_3x3/MaxPool 1.8 1341.6 1.1412 InceptionV1/InceptionV1/Conv2d_2b_1x1/Relu 25.7 484.2 0.8073 InceptionV1/InceptionV1/Conv2d_2c_3x3/Relu 693.6 306.7 11.9314 InceptionV1/InceptionV1/MaxPool_3a_3x3/MaxPool 1.4 1388.0 0.8285 InceptionV1/InceptionV1/Mixed_3b/Branch_0/Conv2d_0a_1x1/Relu 19.3 533.8 0.5826 InceptionV1/InceptionV1/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu 28.9 461.2 0.6997 InceptionV1/InceptionV1/Mixed_3b/Branch_1/Conv2d_0b_3x3/Relu 173.4 315.9 4.7648 InceptionV1/InceptionV1/Mixed_3b/Branch_2/Conv2d_0a_1x1/Relu 4.8 966.1 0.3039 InceptionV1/InceptionV1/Mixed_3b/Branch_2/Conv2d_0b_3x3/Relu 7.2 456.5 0.49210 InceptionV1/InceptionV1/Mixed_3b/Branch_3/MaxPool_0a_3x3/MaxPool 1.4 643.6 0.44711 InceptionV1/InceptionV1/Mixed_3b/Branch_3/Conv2d_0b_1x1/Relu 9.6 621.4 0.48112 InceptionV1/InceptionV1/Mixed_3c/Branch_0/Conv2d_0a_1x1/Relu 51.4 444.7 1.00213 InceptionV1/InceptionV1/Mixed_3c/Branch_1/Conv2d_0a_1x1/Relu 51.4 432.5 1.03014 InceptionV1/InceptionV1/Mixed_3c/Branch_1/Conv2d_0b_3x3/Relu 346.8 262.1 8.19415 InceptionV1/InceptionV1/Mixed_3c/Branch_2/Conv2d_0a_1x1/Relu 12.8 824.4 0.48316 InceptionV1/InceptionV1/Mixed_3c/Branch_2/Conv2d_0b_3x3/Relu 43.4 404.6 1.19917 InceptionV1/InceptionV1/Mixed_3c/Branch_3/MaxPool_0a_3x3/MaxPool 1.8 681.0 0.56318 InceptionV1/InceptionV1/Mixed_3c/Branch_3/Conv2d_0b_1x1/Relu 25.7 618.7 0.66919 InceptionV1/InceptionV1/MaxPool_4a_3x3/MaxPool 0.8 1219.2 0.58920 InceptionV1/InceptionV1/Mixed_4b/Branch_0/Conv2d_0a_1x1/Relu 36.1 373.6 0.95221 InceptionV1/InceptionV1/Mixed_4b/Branch_1/Conv2d_0a_1x1/Relu 18.1 469.1 0.57022 InceptionV1/InceptionV1/Mixed_4b/Branch_1/Conv2d_0b_3x3/Relu 70.4 280.2 2.38823 InceptionV1/InceptionV1/Mixed_4b/Branch_2/Conv2d_0a_1x1/Relu 3.0 627.3 0.30924 InceptionV1/InceptionV1/Mixed_4b/Branch_2/Conv2d_0b_3x3/Relu 2.7 197.9 0.34325 InceptionV1/InceptionV1/Mixed_4b/Branch_3/MaxPool_0a_3x3/MaxPool 0.8 589.6 0.30626 InceptionV1/InceptionV1/Mixed_4b/Branch_3/Conv2d_0b_1x1/Relu 12.0 498.4 0.47827 InceptionV1/InceptionV1/Mixed_4c/Branch_0/Conv2d_0a_1x1/Relu 32.1 347.1 1.00328 InceptionV1/InceptionV1/Mixed_4c/Branch_1/Conv2d_0a_1x1/Relu 22.5 397.7 0.75729 InceptionV1/InceptionV1/Mixed_4c/Branch_1/Conv2d_0b_3x3/Relu 88.5 284.1 2.85630 InceptionV1/InceptionV1/Mixed_4c/Branch_2/Conv2d_0a_1x1/Relu 4.8 492.4 0.43631 InceptionV1/InceptionV1/Mixed_4c/Branch_2/Conv2d_0b_3x3/Relu 5.4 265.1 0.40832 InceptionV1/InceptionV1/Mixed_4c/Branch_3/MaxPool_0a_3x3/MaxPool 0.9 608.8 0.31633 InceptionV1/InceptionV1/Mixed_4c/Branch_3/Conv2d_0b_1x1/Relu 12.8 563.2 0.45134 InceptionV1/InceptionV1/Mixed_4d/Branch_0/Conv2d_0a_1x1/Relu 25.7 402.0 0.78835 InceptionV1/InceptionV1/Mixed_4d/Branch_1/Conv2d_0a_1x1/Relu 25.7 390.9 0.81036 InceptionV1/InceptionV1/Mixed_4d/Branch_1/Conv2d_0b_3x3/Relu 115.6 268.6 3.71437 InceptionV1/InceptionV1/Mixed_4d/Branch_2/Conv2d_0a_1x1/Relu 4.8 516.5 0.41638 InceptionV1/InceptionV1/Mixed_4d/Branch_2/Conv2d_0b_3x3/Relu 5.4 228.4 0.47439 InceptionV1/InceptionV1/Mixed_4d/Branch_3/MaxPool_0a_3x3/MaxPool 0.9 631.9 0.30440 InceptionV1/InceptionV1/Mixed_4d/Branch_3/Conv2d_0b_1x1/Relu 12.8 564.2 0.45041 InceptionV1/InceptionV1/Mixed_4e/Branch_0/Conv2d_0a_1x1/Relu 22.5 392.5 0.76742 InceptionV1/InceptionV1/Mixed_4e/Branch_1/Conv2d_0a_1x1/Relu 28.9 460.2 0.72243 InceptionV1/InceptionV1/Mixed_4e/Branch_1/Conv2d_0b_3x3/Relu 146.3 396.3 3.03244 InceptionV1/InceptionV1/Mixed_4e/Branch_2/Conv2d_0a_1x1/Relu 6.4 675.5 0.33045 InceptionV1/InceptionV1/Mixed_4e/Branch_2/Conv2d_0b_3x3/Relu 7.2 297.0 0.48546 InceptionV1/InceptionV1/Mixed_4e/Branch_3/MaxPool_0a_3x3/MaxPool 0.9 604.4 0.31847 InceptionV1/InceptionV1/Mixed_4e/Branch_3/Conv2d_0b_1x1/Relu 12.8 562.9 0.45148 InceptionV1/InceptionV1/Mixed_4f/Branch_0/Conv2d_0a_1x1/Relu 53.0 298.4 1.52749 InceptionV1/InceptionV1/Mixed_4f/Branch_1/Conv2d_0a_1x1/Relu 33.1 265.7 1.35150 InceptionV1/InceptionV1/Mixed_4f/Branch_1/Conv2d_0b_3x3/Relu 180.6 274.7 5.17951 InceptionV1/InceptionV1/Mixed_4f/Branch_2/Conv2d_0a_1x1/Relu 6.6 470.1 0.48952 InceptionV1/InceptionV1/Mixed_4f/Branch_2/Conv2d_0b_3x3/Relu 14.5 318.1 0.56653 InceptionV1/InceptionV1/Mixed_4f/Branch_3/MaxPool_0a_3x3/MaxPool 0.9 604.7 0.32854 InceptionV1/InceptionV1/Mixed_4f/Branch_3/Conv2d_0b_1x1/Relu 26.5 420.9 0.77655 InceptionV1/InceptionV1/MaxPool_5a_2x2/MaxPool 0.2 906.3 0.34556 InceptionV1/InceptionV1/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu 20.9 621.2 0.78057 InceptionV1/InceptionV1/Mixed_5b/Branch_1/Conv2d_0a_1x1/Relu 13.0 529.3 0.62758 InceptionV1/InceptionV1/Mixed_5b/Branch_1/Conv2d_0b_3x3/Relu 45.2 566.9 1.79759 InceptionV1/InceptionV1/Mixed_5b/Branch_2/Conv2d_0a_1x1/Relu 2.6 286.3 0.44960 InceptionV1/InceptionV1/Mixed_5b/Branch_2/Conv2d_0a_3x3/Relu 3.6 223.3 0.44561 InceptionV1/InceptionV1/Mixed_5b/Branch_3/MaxPool_0a_3x3/MaxPool 0.4 494.2 0.16162 InceptionV1/InceptionV1/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu 10.4 500.3 0.56263 InceptionV1/InceptionV1/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu 31.3 603.2 1.14064 InceptionV1/InceptionV1/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu 15.7 611.5 0.62665 InceptionV1/InceptionV1/Mixed_5c/Branch_1/Conv2d_0b_3x3/Relu 65.0 559.8 2.56166 InceptionV1/InceptionV1/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu 3.9 318.2 0.48467 InceptionV1/InceptionV1/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu 5.4 377.7 0.39268 InceptionV1/InceptionV1/Mixed_5c/Branch_3/MaxPool_0a_3x3/MaxPool 0.4 503.3 0.15869 InceptionV1/InceptionV1/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu 10.4 439.1 0.64070 InceptionV1/Logits/MaxPool_0a_7x7/AvgPool 0.1 470.4 0.20871 InceptionV1/Logits/Conv2d_0c_1x1/BiasAdd 2.1 1969.6 0.99572 InceptionV1/Logits/Predictions/Softmax 0.0 18.9 0.203-------------------------------------------------------------------------------------------------------------- Total inference time 90.99--------------------------------------------------------------------------------------------------------------Generating Profile Report 'output_report.html'...mvNCCheck -s 12 output/inception-v1.meta -in=input -on=InceptionV1/Logits/Predictions/Reshape_1 -i ../../data/images/cat.jpg -id 829 -S 2 -M 128 -cs 0,1,2mvNCCheck v02.00, Copyright @ Movidius Ltd 2016/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py:766: DeprecationWarning: builtin type EagerTensor has no __module__ attribute EagerTensor = c_api.TFE_Py_InitEagerTensor(_EagerTensorBase)/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead if d.decorator_argspec is not None), _inspect.getargspec(target))/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in "Layer InceptionV1/InceptionV1/Mixed_3c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_3c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4e/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4e/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4f/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_4f/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concatLayer InceptionV1/InceptionV1/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")USB: Transferring Data...USB: Myriad Execution FinishedUSB: Myriad Connection Closing.USB: Myriad Connection Closed.Result: (1, 1, 1001)1) 829 1.02) 1000 0.03) 328 0.04) 340 0.05) 339 0.0Expected: (1, 1, 1, 1001)1) 829 0.9999992) 905 5.58752e-073) 950 1.31162e-074) 430 6.56269e-105) 56 2.02915e-10------------------------------------------------------------ Obtained values ------------------------------------------------------------ Obtained Min Pixel Accuracy: 7.152562488954572e-05% (max allowed=2%), Pass Obtained Average Pixel Accuracy: 1.4048030516633503e-07% (max allowed=1%), Pass Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass Obtained Pixel-wise L2 error: 2.8985500054121263e-06% (max allowed=1%), Pass Obtained Global Sum Difference: 1.4062068203202216e-06------------------------------------------------------------test -f graph || mvNCCompile -s 12 output/inception-v1.meta -in=input -on=InceptionV1/Logits/Predictions/Reshape_1make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow/inception_v1'make[2]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow'make -C data/. make[2]: Entering directory '/home/strong/ncs_workspace/ncsdk/examples/data'Possible Make targets make help - shows this message make clean - Removes all temp files from all directoriesmake[2]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data'make[1]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples'strong@foreverstrong:~/ncs_workspace/ncsdk$ lltotal 84drwxrwxr-x 6 strong strong 4096 Dec 20 23:43 ./drwxrwxr-x 3 strong strong 4096 Dec 20 21:16 ../drwxrwxr-x 5 strong strong 4096 Dec 20 21:17 api/drwxrwxr-x 8 strong strong 4096 Dec 20 21:17 docs/drwxrwxr-x 6 strong strong 4096 Dec 20 21:17 examples/drwxrwxr-x 8 strong strong 4096 Dec 20 21:17 .git/-rw-rw-r-- 1 strong strong 481 Dec 20 21:17 .gitattributes-rw-rw-r-- 1 strong strong 212 Dec 20 21:17 .gitignore-rwxrwxr-x 1 strong strong 2055 Dec 20 21:17 install-opencv.sh*-rwxrwxr-x 1 strong strong 1699 Dec 20 23:43 install.sh*-rw-rw-r-- 1 strong strong 21335 Dec 20 21:17 LICENSE-rw-rw-r-- 1 strong strong 1427 Dec 20 21:17 Makefile-rw-rw-r-- 1 strong strong 145 Dec 20 23:43 ncsdk.conf-rw-rw-r-- 1 strong strong 1841 Dec 20 23:43 README.md-rwxrwxr-x 1 strong strong 1203 Dec 20 21:17 uninstall-opencv.sh*-rwxrwxr-x 1 strong strong 247 Dec 20 23:43 uninstall.sh*strong@foreverstrong:~/ncs_workspace/ncsdk$ cd examples/strong@foreverstrong:~/ncs_workspace/ncsdk/examples$ lltotal 32drwxrwxr-x 6 strong strong 4096 Dec 20 21:17 ./drwxrwxr-x 6 strong strong 4096 Dec 20 23:43 ../drwxrwxr-x 5 strong strong 4096 Dec 20 21:17 apps/drwxrwxr-x 5 strong strong 4096 Dec 20 21:17 caffe/drwxrwxr-x 4 strong strong 4096 Dec 20 21:17 data/-rw-rw-r-- 1 strong strong 767 Dec 20 21:17 Makefile-rw-rw-r-- 1 strong strong 887 Dec 20 21:17 README.mddrwxrwxr-x 4 strong strong 4096 Dec 20 21:17 tensorflow/4. 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