Intel® Movidius™ Neural Compute SDK - ncsdk-2.05.00.02

Intel® Movidius™ Neural Compute SDK - ncsdk-2.05.00.02

movidius/ncsdk
Software Development Kit for the Neural Compute Stick
https://github.com/movidius/ncsdk

Releases
https://github.com/movidius/ncsdk/releases

NCSDK v2.08.01

The MTCNN network in the app zoo is showing unexpected behavior for this release, and is being investigated. To use MTCNN, please use version 1.12.01 of SDK.

Loading multiple graphs into one Myriad device may show stability issues with this release.

For this release, use of Myriad devices connected to some specific hubs can fail. If you encounter errors, please try direct connect to PC port, or try a different hub.

NCSDK v2.05.00.02

ncsdk-2.05.00.02.zip 解壓爲 ncsdk-2.05.00.02，重命名爲 ncsdk.

1. make install

strong@foreverstrong:~/ncs_workspace/ncsdk$ make install
./uninstall-opencv.sh
OpenCV uninstall starting
Reading installer configuration variables from ./ncsdk.conf
[sudo] password for strong: 
OpenCV uninstall finished

make install starting.
./install.sh
Movidius Neural Compute Toolkit Installation
Installer NCSDK version: 2.05.00.02

Reading installer configuration variables from ./ncsdk.conf
Installing on Ubuntu 16.04

print_ncsdk_config()
INSTALL_DIR - Main installation directory
INSTALL_CAFFE - Flag to install TensorFlow
CAFFE_FLAVOR - Specific 'flavor' of caffe to install
CAFFE_USE_CUDA - Use CUDA enabled version of caffe
INSTALL_TENSORFLOW - Flag to install TensorFlow
INSTALL_TOOLKIT - Flag to install Neural Compute Toolkit
PIP_SYSTEM_INSTALL - Globally install pip packages via sudo -H
VERBOSE - Flag to enable more verbose installation
USE_VIRTUALENV - Flag to enable python virtualenv
MAKE_NJOBS - Number of processes to use for parallel build (i.e. make -j MAKE_NJOBS)

INSTALL_DIR=/opt/movidius
INSTALL_CAFFE=yes
CAFFE_FLAVOR=ssd
CAFFE_USE_CUDA=no
INSTALL_TENSORFLOW=yes
INSTALL_TOOLKIT=yes
PIP_SYSTEM_INSTALL=yes
VERBOSE=yes
USE_VIRTUALENV=no
MAKE_NJOBS=8


Didn't find a valid NCSDK installation
Searching and removing previous NCSDK installation from the system
Searching and removing NCS python API...done
Searching and removing udev rules...done
Running ldconfig.../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 link

done
Updating udev rules...done
Successfully uninstalled NCSDK from the system
Downloading NCSDK-2.05.00.02.tar.gz
--2018-12-03 17:55:30--  https://downloadmirror.intel.com/27839/eng/NCSDK-2.05.00.02.tar.gz
Resolving downloadmirror.intel.com (downloadmirror.intel.com)... 23.42.185.40
Connecting to downloadmirror.intel.com (downloadmirror.intel.com)|23.42.185.40|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1472747 (1.4M) [application/x-gzip]
Saving to: ‘NCSDK-2.05.00.02.tar.gz’

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2018-12-03 17:55:38 (327 KB/s) - ‘NCSDK-2.05.00.02.tar.gz’ saved [1472747/1472747]

NCSDK-2.05.00.02/
NCSDK-2.05.00.02/ncsdk-x86_64/
NCSDK-2.05.00.02/ncsdk-x86_64/udev/
NCSDK-2.05.00.02/ncsdk-x86_64/udev/97-usbboot.rules
NCSDK-2.05.00.02/ncsdk-x86_64/api/
NCSDK-2.05.00.02/ncsdk-x86_64/api/c/
NCSDK-2.05.00.02/ncsdk-x86_64/api/c/mvnc.h
NCSDK-2.05.00.02/ncsdk-x86_64/api/c/libmvnc.so.0
NCSDK-2.05.00.02/ncsdk-x86_64/api/setup.py
NCSDK-2.05.00.02/ncsdk-x86_64/api/python/
NCSDK-2.05.00.02/ncsdk-x86_64/api/python/mvnc/
NCSDK-2.05.00.02/ncsdk-x86_64/api/python/mvnc/mvncapi.py
NCSDK-2.05.00.02/ncsdk-x86_64/api/python/mvnc/__init__.py
NCSDK-2.05.00.02/ncsdk-x86_64/LICENSE
NCSDK-2.05.00.02/ncsdk-x86_64/tk/
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/FileIO.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/TensorFlowPreproc.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/CaffeParser.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/DataTransforms.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Soh.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/ProductionSchedulers.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Preprocess.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/ConversionPlacement.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/HwCompiler.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Optimizer.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/PingPong.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Globals.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/TensorFormat.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Scheduler.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Args.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Metrics.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/TensorFlowParser.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Adaptor.py
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NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/MiscIO.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/CnnHardware.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/
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NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/RealDiv.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/Reshape.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/Slice.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/Convolution.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/FusedBatchNorm.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/__init__.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/Pad.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/Softmax.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/LRN.py
NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/ReLU.py
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NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/Parser/
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NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/Parser/Layer.py
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NCSDK-2.05.00.02/version.txt
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automake is already the newest version (1:1.15-4ubuntu1).
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libleveldb-dev is already the newest version (1.18-5).
libprotobuf-dev is already the newest version (2.6.1-1.3).
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make is already the newest version (4.1-6).
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 is already the newest version (3.5.1-3).
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-tk is already the newest version (3.5.1-1).
python3-yaml is already the newest version (3.11-3build1).
unzip is already the newest version (6.0-20ubuntu1).
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).
liblmdb-dev is already the newest version (0.9.17-3).
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).
coreutils is already the newest version (8.25-2ubuntu3~16.04).
graphviz is already the newest version (2.38.0-12ubuntu2.1).
libxslt1-dev is already the newest version (1.1.28-2.1ubuntu0.1).
lsb-release is already the newest version (9.20160110ubuntu0.2).
tar is already the newest version (1.28-2.1ubuntu0.1).
wget is already the newest version (1.17.1-1ubuntu1.4).
python-pip is already the newest version (8.1.1-2ubuntu0.4).
The following packages were automatically installed and are no longer required:
  gimp-data libamd2.4.1 libbabl-0.1-0 libcamd2.4.1 libccolamd2.9.1
  libcholmod3.0.6 libgcrypt20:i386 libgegl-0.3-0 libgimp2.0 libsystemd0:i386
  libumfpack5.7.1
Use 'sudo apt autoremove' to remove them.
The following additional packages will be installed:
  libcurl3-gnutls libcurl4-gnutls-dev libcv-dev libcvaux-dev
  libgvc6-plugins-gtk libhighgui-dev libopencv-calib3d-dev
  libopencv-calib3d2.4v5 libopencv-contrib-dev libopencv-contrib2.4v5
  libopencv-core-dev libopencv-core2.4v5 libopencv-features2d-dev
  libopencv-features2d2.4v5 libopencv-flann-dev libopencv-flann2.4v5
  libopencv-gpu-dev libopencv-gpu2.4v5 libopencv-highgui-dev
  libopencv-highgui2.4v5 libopencv-imgproc-dev libopencv-imgproc2.4v5
  libopencv-legacy-dev libopencv-legacy2.4v5 libopencv-ml-dev
  libopencv-ml2.4v5 libopencv-objdetect-dev libopencv-objdetect2.4v5
  libopencv-ocl-dev libopencv-ocl2.4v5 libopencv-photo-dev
  libopencv-photo2.4v5 libopencv-stitching-dev libopencv-stitching2.4v5
  libopencv-superres-dev libopencv-superres2.4v5 libopencv-ts-dev
  libopencv-ts2.4v5 libopencv-video-dev libopencv-video2.4v5
  libopencv-videostab-dev libopencv-videostab2.4v5 libopencv2.4-java
  libopencv2.4-jni libxdot4 libxml2 python3-wheel
Suggested packages:
  git-daemon-run | git-daemon-sysvinit git-doc git-el git-email git-gui gitk
  gitweb git-arch git-cvs git-mediawiki git-svn libcurl4-doc libcurl3-dbg
  libgnutls-dev libidn11-dev libkrb5-dev libldap2-dev librtmp-dev
The following NEW packages will be installed:
  libgraphviz-dev libgvc6-plugins-gtk libxdot4 python3-pip python3-wheel
The following packages will be upgraded:
  curl git libcurl3-gnutls libcurl4-gnutls-dev libcv-dev libcvaux-dev
  libhdf5-serial-dev libhighgui-dev libopencv-calib3d-dev
  libopencv-calib3d2.4v5 libopencv-contrib-dev libopencv-contrib2.4v5
  libopencv-core-dev libopencv-core2.4v5 libopencv-dev
  libopencv-features2d-dev libopencv-features2d2.4v5 libopencv-flann-dev
  libopencv-flann2.4v5 libopencv-gpu-dev libopencv-gpu2.4v5
  libopencv-highgui-dev libopencv-highgui2.4v5 libopencv-imgproc-dev
  libopencv-imgproc2.4v5 libopencv-legacy-dev libopencv-legacy2.4v5
  libopencv-ml-dev libopencv-ml2.4v5 libopencv-objdetect-dev
  libopencv-objdetect2.4v5 libopencv-ocl-dev libopencv-ocl2.4v5
  libopencv-photo-dev libopencv-photo2.4v5 libopencv-stitching-dev
  libopencv-stitching2.4v5 libopencv-superres-dev libopencv-superres2.4v5
  libopencv-ts-dev libopencv-ts2.4v5 libopencv-video-dev libopencv-video2.4v5
  libopencv-videostab-dev libopencv-videostab2.4v5 libopencv2.4-java
  libopencv2.4-jni libxml2 libxml2-dev
49 upgraded, 5 newly installed, 0 to remove and 435 not upgraded.
Need to get 15.7 MB of archives.
After this operation, 1,480 kB of additional disk space will be used.
Get:1 http://cn.archive.ubuntu.com/ubuntu xenial-updates/main amd64 curl amd64 7.47.0-1ubuntu2.11 [139 kB]
Get:2 http://cn.archive.ubuntu.com/ubuntu xenial-updates/main amd64 libcurl4-gnutls-dev amd64 7.47.0-1ubuntu2.11 [261 kB]
Get:3 http://cn.archive.ubuntu.com/ubuntu xenial-updates/main amd64 libcurl3-gnutls amd64 7.47.0-1ubuntu2.11 [185 kB]
Get:4 http://cn.archive.ubuntu.com/ubuntu xenial-updates/main amd64 libxml2-dev amd64 2.9.3+dfsg1-1ubuntu0.6 [743 kB]
Get:5 http://cn.archive.ubuntu.com/ubuntu xenial-updates/main amd64 libxml2 amd64 2.9.3+dfsg1-1ubuntu0.6 [697 kB]
Get:6 http://cn.archive.ubuntu.com/ubuntu xenial-updates/main amd64 git amd64 1:2.7.4-0ubuntu1.6 [3,176 kB]
Get:7 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [169 kB]
Get:8 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-contrib-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [353 kB]
Get:9 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv2.4-jni amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [148 kB]
Get:10 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-contrib2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [300 kB]
Get:11 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-ocl-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [517 kB]
Get:12 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-ocl2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [456 kB]
Get:13 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-legacy-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [508 kB]
Get:14 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-ml-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [225 kB]
Get:15 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-legacy2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [405 kB]
Get:16 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-ml2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [190 kB]
Get:17 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-objdetect-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [216 kB]
Get:18 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-objdetect2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [191 kB]
Get:19 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-videostab-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [94.4 kB]
Get:20 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-videostab2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [80.5 kB]
Get:21 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-superres-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [79.7 kB]
Get:22 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-video-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [133 kB]
Get:23 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-superres2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [68.7 kB]
Get:24 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-video2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [119 kB]
Get:25 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-photo-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [44.6 kB]
Get:26 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-highgui-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [144 kB]
Get:27 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-stitching-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [207 kB]
Get:28 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-calib3d-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [238 kB]
Get:29 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-features2d-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [257 kB]
Get:30 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-imgproc-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [693 kB]
Get:31 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-photo2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [43.7 kB]
Get:32 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-stitching2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [179 kB]
Get:33 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-calib3d2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [218 kB]
Get:34 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-features2d2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [215 kB]
Get:35 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-highgui2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [114 kB]
Get:36 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-imgproc2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [632 kB]
Get:37 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-gpu-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [138 kB]
Get:38 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-gpu2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [41.2 kB]
Get:39 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-flann-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [160 kB]
Get:40 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-flann2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [107 kB]
Get:41 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-ts-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [355 kB]
Get:42 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-ts2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [228 kB]
Get:43 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-core-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [832 kB]
Get:44 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv-core2.4v5 amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [674 kB]
Get:45 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libopencv2.4-java all 2.4.9.1+dfsg-1.5ubuntu1.1 [433 kB]
Get:46 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libhighgui-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [3,154 B]
Get:47 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libcvaux-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [3,394 B]
Get:48 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libcv-dev amd64 2.4.9.1+dfsg-1.5ubuntu1.1 [4,198 B]
Get:49 http://cn.archive.ubuntu.com/ubuntu xenial-updates/main amd64 libxdot4 amd64 2.38.0-12ubuntu2.1 [19.4 kB]
Get:50 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libgvc6-plugins-gtk amd64 2.38.0-12ubuntu2.1 [21.7 kB]
Get:51 http://cn.archive.ubuntu.com/ubuntu xenial-updates/main amd64 libgraphviz-dev amd64 2.38.0-12ubuntu2.1 [61.3 kB]
Get:52 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 libhdf5-serial-dev all 1.8.16+docs-4ubuntu1.1 [4,278 B]
Get:53 http://cn.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 python3-pip all 8.1.1-2ubuntu0.4 [109 kB]
Get:54 http://cn.archive.ubuntu.com/ubuntu xenial/universe amd64 python3-wheel all 0.29.0-1 [48.1 kB]
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/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 link

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:
  gimp-data libamd2.4.1 libbabl-0.1-0 libcamd2.4.1 libccolamd2.9.1
  libcholmod3.0.6 libgcrypt20:i386 libgegl-0.3-0 libgimp2.0 libsystemd0:i386
  libumfpack5.7.1
Use 'sudo apt autoremove' to remove them.
0 upgraded, 0 newly installed, 0 to remove and 435 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 link

Saving installation log file in /opt/movidius/NCSDK/setup-logs/setup_18-12-03-17-57.log
Installing 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))
Collecting networkx<=2.1,>=2.1 (from -r /opt/movidius/NCSDK/requirements.txt (line 15))
  Downloading https://files.pythonhosted.org/packages/11/42/f951cc6838a4dff6ce57211c4d7f8444809ccbe2134179950301e5c4c83c/networkx-2.1.zip (1.6MB)
Collecting pygraphviz>=1.3.1 (from -r /opt/movidius/NCSDK/requirements.txt (line 16))
  Downloading https://files.pythonhosted.org/packages/7e/b1/d6d849ddaf6f11036f9980d433f383d4c13d1ebcfc3cd09bc845bda7e433/pygraphviz-1.5.zip (117kB)
Requirement already satisfied (use --upgrade to upgrade): Enum34>=1.1.6 in /usr/local/lib/python3.5/dist-packages (from -r /opt/movidius/NCSDK/requirements.txt (line 17))
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))
Collecting decorator>=4.1.0 (from networkx<=2.1,>=2.1->-r /opt/movidius/NCSDK/requirements.txt (line 15))
  Downloading https://files.pythonhosted.org/packages/bc/bb/a24838832ba35baf52f32ab1a49b906b5f82fb7c76b2f6a7e35e140bac30/decorator-4.3.0-py2.py3-none-any.whl
Building wheels for collected packages: networkx, pygraphviz
  Running setup.py bdist_wheel for networkx: started
  Running setup.py bdist_wheel for networkx: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/44/c0/34/6f98693a554301bdb405f8d65d95bbcd3e50180cbfdd98a94e
  Running setup.py bdist_wheel for pygraphviz: started
  Running setup.py bdist_wheel for pygraphviz: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/65/54/69/1aee9e66ab19916293208d4c9de0d3898adebe6b2eeff6476b
Successfully built networkx pygraphviz
Installing collected packages: decorator, networkx, pygraphviz
  Found existing installation: decorator 4.0.6
    Not uninstalling decorator at /usr/lib/python3/dist-packages, outside environment /usr
  Found existing installation: networkx 1.11
    Uninstalling networkx-1.11:
      Successfully uninstalled networkx-1.11
Successfully installed decorator-4.3.0 networkx-2.1 pygraphviz-1.5
You are using pip version 8.1.1, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
/usr/local/lib/python2.7/dist-packages/pip/_vendor/requests/__init__.py:83: RequestsDependencyWarning: Old version of cryptography ([1, 2, 3]) may cause slowdown.
  warnings.warn(warning, RequestsDependencyWarning)
Requirement already satisfied: Enum34>=1.1.6 in /usr/local/lib/python2.7/dist-packages (1.1.6)
You are using pip version 18.0, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
/usr/local/lib/python2.7/dist-packages/pip/_vendor/requests/__init__.py:83: RequestsDependencyWarning: Old version of cryptography ([1, 2, 3]) may cause slowdown.
  warnings.warn(warning, RequestsDependencyWarning)
Collecting numpy<=1.13.3,>=1.13.0
  Downloading https://files.pythonhosted.org/packages/eb/be/737f3df5806192ac4096e549e48c8c76cfaa2fb880a1c62a7bb085adaa9b/numpy-1.13.3-cp27-cp27mu-manylinux1_x86_64.whl (16.6MB)
tensorflow-gpu 1.3.0 requires mock>=2.0.0, which is not installed.
tensorflow-gpu 1.3.0 requires tensorflow-tensorboard<0.2.0,>=0.1.0, which is not installed.
Installing collected packages: numpy
  Found existing installation: numpy 1.11.0
    Uninstalling numpy-1.11.0:
      Successfully uninstalled numpy-1.11.0
Successfully installed numpy-1.13.3
You are using pip version 18.0, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Checking whether tensorflow CPU version is installed...
You are using pip version 8.1.1, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
You are using pip version 8.1.1, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Found tensorflow CPU version 1.4.0
Checking whether tensorflow GPU version is installed...
You are using pip version 8.1.1, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Couldn't find a supported tensorflow version, installing tensorflow 1.7.0
Collecting tensorflow==1.7.0
  Downloading https://files.pythonhosted.org/packages/e9/f2/85074ef76215435df20424d844ec816428750add61109865706a6bf808c6/tensorflow-1.7.0-cp35-cp35m-manylinux1_x86_64.whl (48.0MB)
Collecting gast>=0.2.0 (from tensorflow==1.7.0)
  Downloading https://files.pythonhosted.org/packages/5c/78/ff794fcae2ce8aa6323e789d1f8b3b7765f601e7702726f430e814822b96/gast-0.2.0.tar.gz
Collecting absl-py>=0.1.6 (from tensorflow==1.7.0)
  Downloading https://files.pythonhosted.org/packages/0c/63/f505d2d4c21db849cf80bad517f0065a30be6b006b0a5637f1b95584a305/absl-py-0.6.1.tar.gz (94kB)
Requirement already satisfied (use --upgrade to upgrade): six>=1.10.0 in /usr/lib/python3/dist-packages (from tensorflow==1.7.0)
Collecting tensorboard<1.8.0,>=1.7.0 (from tensorflow==1.7.0)
  Downloading https://files.pythonhosted.org/packages/0b/ec/65d4e8410038ca2a78c09034094403d231228d0ddcae7d470b223456e55d/tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Requirement already satisfied (use --upgrade to upgrade): protobuf>=3.4.0 in /usr/local/lib/python3.5/dist-packages (from tensorflow==1.7.0)
Collecting grpcio>=1.8.6 (from tensorflow==1.7.0)
  Downloading https://files.pythonhosted.org/packages/90/b4/ce6b50cd30a07a13143eec055c9737573916327217fbe243e38856e2ab95/grpcio-1.16.1-cp35-cp35m-manylinux1_x86_64.whl (9.7MB)
Requirement already satisfied (use --upgrade to upgrade): wheel>=0.26 in /usr/lib/python3/dist-packages (from tensorflow==1.7.0)
Collecting termcolor>=1.1.0 (from tensorflow==1.7.0)
  Downloading https://files.pythonhosted.org/packages/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz
Requirement already satisfied (use --upgrade to upgrade): numpy>=1.13.3 in /usr/local/lib/python3.5/dist-packages (from tensorflow==1.7.0)
Collecting astor>=0.6.0 (from tensorflow==1.7.0)
  Downloading https://files.pythonhosted.org/packages/35/6b/11530768cac581a12952a2aad00e1526b89d242d0b9f59534ef6e6a1752f/astor-0.7.1-py2.py3-none-any.whl
Requirement already satisfied (use --upgrade to upgrade): markdown>=2.6.8 in /usr/local/lib/python3.5/dist-packages (from tensorboard<1.8.0,>=1.7.0->tensorflow==1.7.0)
Requirement already satisfied (use --upgrade to upgrade): bleach==1.5.0 in /usr/local/lib/python3.5/dist-packages (from tensorboard<1.8.0,>=1.7.0->tensorflow==1.7.0)
Requirement already satisfied (use --upgrade to upgrade): html5lib==0.9999999 in /usr/local/lib/python3.5/dist-packages (from tensorboard<1.8.0,>=1.7.0->tensorflow==1.7.0)
Requirement already satisfied (use --upgrade to upgrade): werkzeug>=0.11.10 in /usr/local/lib/python3.5/dist-packages (from tensorboard<1.8.0,>=1.7.0->tensorflow==1.7.0)
Requirement already satisfied (use --upgrade to upgrade): setuptools in /usr/lib/python3/dist-packages (from protobuf>=3.4.0->tensorflow==1.7.0)
Building wheels for collected packages: gast, absl-py, termcolor
  Running setup.py bdist_wheel for gast: started
  Running setup.py bdist_wheel for gast: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/9a/1f/0e/3cde98113222b853e98fc0a8e9924480a3e25f1b4008cedb4f
  Running setup.py bdist_wheel for absl-py: started
  Running setup.py bdist_wheel for absl-py: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/18/ea/5e/e36e1b8739e78cd2eba0a08fdc602c2b16a4b263912af8cb64
  Running setup.py bdist_wheel for termcolor: started
  Running setup.py bdist_wheel for termcolor: finished with status 'done'
  Stored in directory: /root/.cache/pip/wheels/7c/06/54/bc84598ba1daf8f970247f550b175aaaee85f68b4b0c5ab2c6
Successfully built gast absl-py termcolor
Installing collected packages: gast, absl-py, tensorboard, grpcio, termcolor, astor, tensorflow
  Found existing installation: tensorflow 1.4.0
    Uninstalling tensorflow-1.4.0:
      Successfully uninstalled tensorflow-1.4.0
Successfully installed absl-py-0.6.1 astor-0.7.1 gast-0.2.0 grpcio-1.16.1 tensorboard-1.7.0 tensorflow-1.7.0 termcolor-1.1.0
You are using pip version 8.1.1, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
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
-- Found Doxygen: /usr/bin/doxygen (found version "1.8.11") 
-- Detected Doxygen OUTPUT_DIRECTORY: ./doxygen/
-- Found Git: /usr/bin/git (found version "2.7.4") 
-- 
-- ******************* Caffe Configuration Summary *******************
-- General:
--   Version           :   1.0.0-rc3
--   Git               :   ssdv1.0-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           :   /usr/bin/doxygen (1.8.11)
--   config_file       :   /opt/movidius/ssd-caffe/.Doxyfile
-- 
-- Install:
--   Install path      :   /opt/movidius/ssd-caffe/build/install
-- 
-- Configuring done
-- Generating done
-- Build files have been written to: /opt/movidius/ssd-caffe/build
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-- 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...done
Adding caffe to PYTHONPATH
NCS Toolkit binaries have been installed in /usr/local/bin
NCS Include files have been installed in /usr/local/include
/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 link

Processing /opt/movidius/NCSDK/ncsdk-x86_64/api
Installing collected packages: mvnc
  Found existing installation: mvnc 1.11.0.2
    Uninstalling mvnc-1.11.0.2:
      Successfully uninstalled mvnc-1.11.0.2
  Running setup.py install for mvnc: started
    Running setup.py install for mvnc: finished with status 'done'
Successfully installed mvnc-2.5.0.2
You are using pip version 8.1.1, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
/usr/local/lib/python2.7/dist-packages/pip/_vendor/requests/__init__.py:83: RequestsDependencyWarning: Old version of cryptography ([1, 2, 3]) may cause slowdown.
  warnings.warn(warning, RequestsDependencyWarning)
Processing /opt/movidius/NCSDK/ncsdk-x86_64/api
Building wheels for collected packages: mvnc
  Running setup.py bdist_wheel for mvnc: started
  Running setup.py bdist_wheel for mvnc: finished with status 'done'
  Stored in directory: /tmp/pip-ephem-wheel-cache-ZziEZh/wheels/7f/8b/db/dd2ea5b4874f6281456742f520bc17450dbbbd37da0586f03e
Successfully built mvnc
Installing collected packages: mvnc
Successfully installed mvnc-2.5.0.2
You are using pip version 18.0, however version 18.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
NCS Python API has been installed in /opt/movidius, and PYTHONPATH environment variable updated
NCS Libraries have been installed in /usr/local/lib
Updating udev rules...
Adding user 'strong' to 'users' group

Installation is complete.
Please provide feedback in our support forum if you encountered difficulties.

The PYTHONPATH environment variable was added to your .bashrc as described in the Caffe documentation.
 New bash processes including new terminals will use the updated value of PYTHONPATH.

To use the NCSDK in this shell, set PYTHONPATH now:
export PYTHONPATH="${PYTHONPATH}:/opt/movidius/caffe/python"

strong@foreverstrong:~/ncs_workspace/ncsdk$ 

2. make examples

Plug the NCS to your system’s USB port and run these commands on a new terminal window

strong@foreverstrong:~/ncs_workspace/ncsdk$ echo $PYTHONPATH
:/opt/movidius/caffe/python
strong@foreverstrong:~/ncs_workspace/ncsdk$ 
strong@foreverstrong:~/ncs_workspace/ncsdk$ ll
total 1624
drwxrwxr-x  6 strong strong    4096 Dec  3 17:55 ./
drwxrwxr-x  5 strong strong    4096 Dec  3 17:53 ../
drwxrwxr-x  5 strong strong    4096 Jun 13 04:33 api/
-rw-rw-r--  1 strong strong   26593 Jun 13 04:33 ATTRIBUTIONS
drwxrwxr-x 10 strong strong    4096 Jun 13 04:33 docs/
drwxrwxr-x  6 strong strong    4096 Jun 13 04:33 examples/
drwxrwxr-x  3 strong strong    4096 Jun 13 04:33 extras/
-rw-rw-r--  1 strong strong     481 Jun 13 04:33 .gitattributes
-rw-rw-r--  1 strong strong     212 Jun 13 04:33 .gitignore
-rwxr-xr-x  1 strong strong    6472 Jun 13 04:33 install-opencv.sh*
-rwxr-xr-x  1 strong strong   36325 Dec  3 17:55 install.sh*
-rw-rw-r--  1 strong strong   19996 Jun 13 04:33 install-utilities.sh
-rw-rw-r--  1 strong strong   21335 Jun 13 04:33 LICENSE
-rw-rw-r--  1 strong strong    1575 Jun 13 04:33 Makefile
-rw-rw-r--  1 strong strong 1472747 Jun  2  2018 NCSDK-2.05.00.02.tar.gz
-rw-rw-r--  1 strong strong     189 Dec  3 17:55 ncsdk.conf
-rw-rw-r--  1 strong strong    3140 Dec  3 17:55 README.md
-rw-rw-r--  1 strong strong     185 Jun 13 04:33 requirements_apt_raspbian.txt
-rw-rw-r--  1 strong strong     422 Jun 13 04:33 requirements_apt.txt
-rw-rw-r--  1 strong strong     374 Jun 13 04:33 requirements.txt
-rwxr-xr-x  1 strong strong    3874 Jun 13 04:33 uninstall-opencv.sh*
-rwxr-xr-x  1 strong strong    3443 Dec  3 17:55 uninstall.sh*
-rw-rw-r--  1 strong strong      11 Jun 13 04:33 version.txt
strong@foreverstrong:~/ncs_workspace/ncsdk$ 
strong@foreverstrong:~/ncs_workspace/ncsdk$ make examples
./install-opencv.sh
OpenCV Installation Starting

OpenCV already setup for python3


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'
--2018-12-03 18:25:17--  https://raw.githubusercontent.com/BVLC/caffe/master/data/ilsvrc12/get_ilsvrc_aux.sh
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 587 [text/plain]
Saving to: ‘get_ilsvrc_aux.sh’

get_ilsvrc_aux.sh                100%[=========================================================>]     587  --.-KB/s    in 0s      

2018-12-03 18:25:19 (224 MB/s) - ‘get_ilsvrc_aux.sh’ saved [587/587]

Downloading...
--2018-12-03 18:25:19--  http://dl.caffe.berkeleyvision.org/caffe_ilsvrc12.tar.gz
Resolving dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)... 169.229.222.251
Connecting to dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)|169.229.222.251|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 17858008 (17M) [application/octet-stream]
Saving to: ‘caffe_ilsvrc12.tar.gz’

caffe_ilsvrc12.tar.gz            100%[=========================================================>]  17.03M   122KB/s    in 2m 30s  

2018-12-03 18:27:50 (116 KB/s) - ‘caffe_ilsvrc12.tar.gz’ saved [17858008/17858008]

Unzipping...
Done.
--2018-12-03 18:27:51--  https://raw.githubusercontent.com/BVLC/caffe/master/python/caffe/imagenet/ilsvrc_2012_mean.npy
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.192.133, 151.101.0.133, 151.101.64.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.192.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1572944 (1.5M) [application/octet-stream]
Saving to: ‘ilsvrc_2012_mean.npy’

ilsvrc_2012_mean.npy             100%[=========================================================>]   1.50M   403KB/s    in 3.8s    

2018-12-03 18:27:56 (403 KB/s) - ‘ilsvrc_2012_mean.npy’ saved [1572944/1572944]

make[5]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'

making prototxt
Downloading Prototxt file
--2018-12-03 18:27:56--  https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_googlenet/deploy.prototxt
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.128.133, 151.101.64.133, 151.101.0.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.128.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 35862 (35K) [text/plain]
Saving to: ‘./deploy.prototxt’

deploy.prototxt                  100%[=========================================================>]  35.02K  98.0KB/s    in 0.4s    

2018-12-03 18:27:58 (98.0 KB/s) - ‘./deploy.prototxt’ saved [35862/35862]

Adding input shape to prototxt file.

making caffemodel
Downloading caffemodel file
--2018-12-03 18:27:58--  http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel
Resolving dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)... 169.229.222.251
Connecting to dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)|169.229.222.251|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 53533754 (51M) [application/octet-stream]
Saving to: ‘./bvlc_googlenet.caffemodel’

bvlc_googlenet.caffemodel        100%[=========================================================>]  51.05M  65.7KB/s    in 6m 45s  

2018-12-03 18:34:44 (129 KB/s) - ‘./bvlc_googlenet.caffemodel’ saved [53533754/53533754]


making compile
mvNCCompile -w bvlc_googlenet.caffemodel -s 12 deploy.prototxt
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCompile v02.00, Copyright @ Intel Corporation 2017

Layer  inception_3b/1x1  forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
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
--2018-12-03 18:34:50--  https://github.com/DeepScale/SqueezeNet/raw/master/LICENSE
Resolving github.com (github.com)... 52.74.223.119, 13.250.177.223, 13.229.188.59
Connecting to github.com (github.com)|52.74.223.119|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/LICENSE [following]
--2018-12-03 18:34:52--  https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/LICENSE
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1250 (1.2K) [text/plain]
Saving to: ‘./LICENSE’

LICENSE                          100%[=========================================================>]   1.22K  --.-KB/s    in 0s      

Last-modified header missing -- time-stamps turned off.
2018-12-03 18:34:55 (90.4 MB/s) - ‘./LICENSE’ saved [1250/1250]


making prototxt
Downloading Prototxt file
--2018-12-03 18:34:55--  https://github.com/DeepScale/SqueezeNet/raw/master/SqueezeNet_v1.0/deploy.prototxt
Resolving github.com (github.com)... 13.229.188.59, 13.250.177.223, 52.74.223.119
Connecting to github.com (github.com)|13.229.188.59|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/deploy.prototxt [following]
--2018-12-03 18:34:57--  https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/deploy.prototxt
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.64.133, 151.101.128.133, 151.101.192.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.64.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 9640 (9.4K) [text/plain]
Saving to: ‘./deploy.prototxt’

deploy.prototxt                  100%[=========================================================>]   9.41K  --.-KB/s    in 0.1s    

2018-12-03 18:35:00 (67.1 KB/s) - ‘./deploy.prototxt’ saved [9640/9640]

modifying prototxt file.

making caffemodel
Downloading caffemodel file
--2018-12-03 18:35:00--  https://github.com/DeepScale/SqueezeNet/raw/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel
Resolving github.com (github.com)... 52.74.223.119, 13.229.188.59, 13.250.177.223
Connecting to github.com (github.com)|52.74.223.119|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel [following]
--2018-12-03 18:35:02--  https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.128.133, 151.101.192.133, 151.101.0.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.128.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 5001403 (4.8M) [application/octet-stream]
Saving to: ‘./squeezenet_v1.0.caffemodel’

squeezenet_v1.0.caffemodel       100%[=========================================================>]   4.77M   342KB/s    in 31s     

Last-modified header missing -- time-stamps turned off.
2018-12-03 18:35:35 (158 KB/s) - ‘./squeezenet_v1.0.caffemodel’ saved [5001403/5001403]


making compile
mvNCCompile -w squeezenet_v1.0.caffemodel -s 12 deploy.prototxt
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCompile v02.00, Copyright @ Intel Corporation 2017

/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'

making multistick_cpp
cp googlenet.graph cpp/googlenet.graph;
cp squeezenet.graph cpp/squeezenet.graph;
g++ cpp/multistick.cpp -o cpp/multistick_cpp -lmvnc
Created cpp/multistick_cpp executable
make[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_cpp
g++ cpp/hello_ncs.cpp -o cpp/hello_ncs_cpp -lmvnc
Created cpp/hello_ncs_cpp executable
make[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.py

making prototxt
Downloading Prototxt file
--2018-12-03 18:35:37--  https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_alexnet/deploy.prototxt
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 3629 (3.5K) [text/plain]
Saving to: ‘./deploy.prototxt’

deploy.prototxt                  100%[=========================================================>]   3.54K  --.-KB/s    in 0.08s   

2018-12-03 18:35:39 (44.6 KB/s) - ‘./deploy.prototxt’ saved [3629/3629]

Adding input shape to prototxt file.

making profile
mvNCProfile deploy.prototxt -s 12
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCProfile v02.00, Copyright @ Intel Corporation 2017

****** WARNING: using empty weights ******
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
USB: Transferring Data...
Time to Execute :  96.25  ms
USB: Myriad Execution Finished
Time to Execute :  91.41  ms
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.
Network Summary

Detailed Per Layer Profile
                                                                                                                  Bandwidth   time
#    Name                                                                                                   MFLOPs  (MB/s)    (ms)
==================================================================================================================================
0    data                                                                                                      0.0 60195.4   0.005
1    conv1                                                                                                   210.8  7438.3   4.808
2    norm1                                                                                                     0.0   722.5   0.767
3    pool1                                                                                                     0.6  1254.1   0.442
4    pool1_s0                                                                                                  0.0  1407.9   0.047
5    conv2_p0                                                                                                223.9   607.0   5.991
6    pool1_s1                                                                                                  0.0  1593.3   0.042
7    conv2_p1                                                                                                223.9   608.7   5.973
8    norm2                                                                                                     0.0   634.4   0.561
9    pool2                                                                                                     0.4  1324.9   0.269
10   conv3                                                                                                   299.0   389.8   6.234
11   conv3_s0                                                                                                  0.0  1452.8   0.043
12   conv4_p0                                                                                                112.1   557.2   3.141
13   conv3_s1                                                                                                  0.0  1697.7   0.036
14   conv4_p1                                                                                                112.1   557.9   3.137
15   conv4_p0_s0                                                                                               0.0  1707.6   0.036
16   conv5_p0                                                                                                 74.8   613.1   2.509
17   conv4_p0_s1                                                                                               0.0  1726.8   0.036
18   conv5_p1                                                                                                 74.8   614.2   2.504
19   pool5                                                                                                     0.1   980.4   0.084
20   fc6                                                                                                       0.0  2156.2  33.400
21   fc7                                                                                                       0.0  2147.9  14.902
22   fc8                                                                                                       0.0  2659.7   2.940
23   prob                                                                                                      0.0    10.0   0.191
----------------------------------------------------------------------------------------------------------------------------------
                                                                                      Total inference time                   88.10
----------------------------------------------------------------------------------------------------------------------------------
Generating Profile Report 'output_report.html'...

making caffemodel
Downloading caffemodel file
--2018-12-03 18:35:45--  http://dl.caffe.berkeleyvision.org/bvlc_alexnet.caffemodel
Resolving dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)... 169.229.222.251
Connecting to dl.caffe.berkeleyvision.org (dl.caffe.berkeleyvision.org)|169.229.222.251|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 243862414 (233M) [application/octet-stream]
Saving to: ‘./bvlc_alexnet.caffemodel’

bvlc_alexnet.caffemodel          100%[=========================================================>] 232.56M  1.03MB/s    in 4m 36s  

2018-12-03 18:40:22 (862 KB/s) - ‘./bvlc_alexnet.caffemodel’ saved [243862414/243862414]


making check
mvNCCheck -w bvlc_alexnet.caffemodel -i ../../data/images/cat.jpg -s 12 -id 281 deploy.prototxt -M 120 -S 255 -metric top1
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCheck v02.00, Copyright @ Intel Corporation 2017

/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.
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
USB: Transferring Data...
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.

Result: Validation Pass

Result:  (1000,)
1) 281 0.43872
Expected:  (1000,)
1) 281 0.44238
------------------------------------------------------------
 Obtained values 
------------------------------------------------------------
 Obtained Min Pixel Accuracy: 0.9933775290846825% (max allowed=2%), Pass
 Obtained Average Pixel Accuracy: 0.0026634368623490445% (max allowed=1%), Pass
 Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass
 Obtained Pixel-wise L2 error: 0.04107047868710842% (max allowed=1%), Pass
 Obtained Global Sum Difference: 0.011782586574554443
------------------------------------------------------------

making compile
mvNCCompile -w bvlc_alexnet.caffemodel -s 12 deploy.prototxt
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCompile v02.00, Copyright @ Intel Corporation 2017

/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated

making cpp
g++ cpp/run.cpp -o cpp/run_cpp -lmvnc
make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/AlexNet'
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 prototxt
Prototxt file already exists

making profile
mvNCProfile deploy.prototxt -s 12
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCProfile v02.00, Copyright @ Intel Corporation 2017

****** WARNING: using empty weights ******
Layer  inception_3b/1x1  forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
USB: Transferring Data...
Time to Execute :  115.17  ms
USB: Myriad Execution Finished
Time to Execute :  97.27  ms
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.
Network Summary

Detailed Per Layer Profile
                                                                                                                  Bandwidth   time
#    Name                                                                                                   MFLOPs  (MB/s)    (ms)
==================================================================================================================================
0    data                                                                                                      0.0 57672.9   0.005
1    conv1/7x7_s2                                                                                            236.0  2452.3   5.747
2    pool1/3x3_s2                                                                                              1.8  1347.2   1.137
3    pool1/norm1                                                                                               0.0   710.1   0.539
4    conv2/3x3_reduce                                                                                         25.7   467.7   0.835
5    conv2/3x3                                                                                               693.6   305.6  11.966
6    conv2/norm2                                                                                               0.0   770.3   1.491
7    pool2/3x3_s2                                                                                              1.4  1404.1   0.818
8    inception_3a/1x1                                                                                         19.3   555.4   0.559
9    inception_3a/3x3_reduce                                                                                  28.9   457.2   0.705
10   inception_3a/3x3                                                                                        173.4   317.0   4.748
11   inception_3a/5x5_reduce                                                                                   4.8  1026.1   0.286
12   inception_3a/5x5                                                                                         20.1   713.8   0.874
13   inception_3a/pool                                                                                         1.4   648.3   0.443
14   inception_3a/pool_proj                                                                                    9.6   655.0   0.456
15   inception_3b/1x1                                                                                         51.4   447.8   0.995
16   inception_3b/3x3_reduce                                                                                  51.4   445.5   1.000
17   inception_3b/3x3                                                                                        346.8   263.1   8.163
18   inception_3b/5x5_reduce                                                                                  12.8   879.3   0.453
19   inception_3b/5x5                                                                                        120.4   535.8   2.515
20   inception_3b/pool                                                                                         1.8   678.1   0.565
21   inception_3b/pool_proj                                                                                   25.7   632.8   0.655
22   pool3/3x3_s2                                                                                              0.8  1212.9   0.592
23   inception_4a/1x1                                                                                         36.1   370.5   0.960
24   inception_4a/3x3_reduce                                                                                  18.1   489.1   0.547
25   inception_4a/3x3                                                                                         70.4   299.3   2.237
26   inception_4a/5x5_reduce                                                                                   3.0   757.7   0.256
27   inception_4a/5x5                                                                                          7.5   458.5   0.411
28   inception_4a/pool                                                                                         0.8   604.0   0.297
29   inception_4a/pool_proj                                                                                   12.0   617.9   0.385
30   inception_4b/1x1                                                                                         32.1   342.1   1.017
31   inception_4b/3x3_reduce                                                                                  22.5   397.3   0.757
32   inception_4b/3x3                                                                                         88.5   284.8   2.849
33   inception_4b/5x5_reduce                                                                                   4.8   577.4   0.372
34   inception_4b/5x5                                                                                         15.1   339.3   0.886
35   inception_4b/pool                                                                                         0.9   615.4   0.311
36   inception_4b/pool_proj                                                                                   12.8   580.2   0.438
37   inception_4c/1x1                                                                                         25.7   405.2   0.782
38   inception_4c/3x3_reduce                                                                                  25.7   405.7   0.780
39   inception_4c/3x3                                                                                        115.6   271.9   3.669
40   inception_4c/5x5_reduce                                                                                   4.8   574.3   0.374
41   inception_4c/5x5                                                                                         15.1   339.0   0.887
42   inception_4c/pool                                                                                         0.9   615.7   0.311
43   inception_4c/pool_proj                                                                                   12.8   578.6   0.439
44   inception_4d/1x1                                                                                         22.5   365.8   0.823
45   inception_4d/3x3_reduce                                                                                  28.9   489.7   0.678
46   inception_4d/3x3                                                                                        146.3   403.2   2.980
47   inception_4d/5x5_reduce                                                                                   6.4   736.4   0.302
48   inception_4d/5x5                                                                                         20.1   407.5   0.981
49   inception_4d/pool                                                                                         0.9   628.6   0.305
50   inception_4d/pool_proj                                                                                   12.8   629.9   0.403
51   inception_4e/1x1                                                                                         53.0   297.6   1.531
52   inception_4e/3x3_reduce                                                                                  33.1   279.3   1.284
53   inception_4e/3x3                                                                                        180.6   289.2   4.919
54   inception_4e/5x5_reduce                                                                                   6.6   492.3   0.466
55   inception_4e/5x5                                                                                         40.1   379.4   1.319
56   inception_4e/pool                                                                                         0.9   620.2   0.318
57   inception_4e/pool_proj                                                                                   26.5   447.2   0.730
58   pool4/3x3_s2                                                                                              0.4  1247.7   0.249
59   inception_5a/1x1                                                                                         20.9   617.5   0.785
60   inception_5a/3x3_reduce                                                                                  13.0   567.8   0.584
61   inception_5a/3x3                                                                                         45.2   591.4   1.723
62   inception_5a/5x5_reduce                                                                                   2.6   327.8   0.392
63   inception_5a/5x5                                                                                         10.0   458.7   0.602
64   inception_5a/pool                                                                                         0.4   533.3   0.146
65   inception_5a/pool_proj                                                                                   10.4   511.8   0.549
66   inception_5b/1x1                                                                                         31.3   590.8   1.164
67   inception_5b/3x3_reduce                                                                                  15.7   608.0   0.629
68   inception_5b/3x3                                                                                         65.0   593.7   2.415
69   inception_5b/5x5_reduce                                                                                   3.9   377.4   0.408
70   inception_5b/5x5                                                                                         15.1   475.5   0.865
71   inception_5b/pool                                                                                         0.4   531.9   0.146
72   inception_5b/pool_proj                                                                                   10.4   515.9   0.545
73   pool5/7x7_s1                                                                                              0.1   405.2   0.236
74   loss3/classifier                                                                                          0.0  2561.8   0.763
75   prob                                                                                                      0.0    10.0   0.192
----------------------------------------------------------------------------------------------------------------------------------
                                                                                      Total inference time                   93.94
----------------------------------------------------------------------------------------------------------------------------------
Generating Profile Report 'output_report.html'...

making caffemodel
caffemodel file already exists

making check
mvNCCheck -w bvlc_googlenet.caffemodel -i ../../data/images/nps_electric_guitar.png -s 12 -id 546  deploy.prototxt -S 255 -M 110 -metric top1
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCheck v02.00, Copyright @ Intel Corporation 2017

/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.
Layer  inception_3b/1x1  forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
USB: Transferring Data...
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.

Result: Validation Pass

Result:  (1000,)
1) 546 0.99609
Expected:  (1000,)
1) 546 0.99609
------------------------------------------------------------
 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 compile
mvNCCompile -w bvlc_googlenet.caffemodel -s 12 deploy.prototxt
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCompile v02.00, Copyright @ Intel Corporation 2017

Layer  inception_3b/1x1  forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated

making cpp
g++ cpp/run.cpp -o cpp/run_cpp -lmvnc
make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/GoogLeNet'
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 exists

making prototxt
Prototxt file already exists

making profile
mvNCProfile deploy.prototxt -s 12
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCProfile v02.00, Copyright @ Intel Corporation 2017

****** WARNING: using empty weights ******
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
USB: Transferring Data...
Time to Execute :  64.41  ms
USB: Myriad Execution Finished
Time to Execute :  49.46  ms
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.
Network Summary

Detailed Per Layer Profile
                                                                                                                  Bandwidth   time
#    Name                                                                                                   MFLOPs  (MB/s)    (ms)
==================================================================================================================================
0    data                                                                                                      0.0 69296.6   0.004
1    conv1                                                                                                   347.7  1636.3   8.851
2    pool1                                                                                                     2.6  1450.6   1.555
3    fire2/squeeze1x1                                                                                          9.3  1175.0   0.474
4    fire2/expand1x1                                                                                           6.2   184.0   0.513
5    fire2/expand3x3                                                                                          55.8   515.3   1.649
6    fire3/squeeze1x1                                                                                         12.4  1477.2   0.503
7    fire3/expand1x1                                                                                           6.2   183.4   0.515
8    fire3/expand3x3                                                                                          55.8   516.9   1.643
9    fire4/squeeze1x1                                                                                         24.8  1030.1   0.725
10   fire4/expand1x1                                                                                          24.8   193.1   0.998
11   fire4/expand3x3                                                                                         223.0   397.3   4.365
12   pool4                                                                                                     1.7  1317.1   1.121
13   fire5/squeeze1x1                                                                                         11.9   825.7   0.450
14   fire5/expand1x1                                                                                           6.0   165.5   0.318
15   fire5/expand3x3                                                                                          53.7   392.5   1.205
16   fire6/squeeze1x1                                                                                         17.9   720.6   0.527
17   fire6/expand1x1                                                                                          13.4   164.4   0.515
18   fire6/expand3x3                                                                                         120.9   271.1   2.811
19   fire7/squeeze1x1                                                                                         26.9   853.4   0.667
20   fire7/expand1x1                                                                                          13.4   164.7   0.514
21   fire7/expand3x3                                                                                         120.9   266.4   2.861
22   fire8/squeeze1x1                                                                                         35.8   752.7   0.772
23   fire8/expand1x1                                                                                          23.9   168.1   0.718
24   fire8/expand3x3                                                                                         215.0   204.0   5.326
25   pool8                                                                                                     0.8  1317.9   0.540
26   fire9/squeeze1x1                                                                                         11.1   600.9   0.379
27   fire9/expand1x1                                                                                           5.5   156.1   0.336
28   fire9/expand3x3                                                                                          49.8   301.9   1.561
29   conv10                                                                                                  173.1   334.3   3.415
30   pool10                                                                                                    0.3   676.6   0.476
31   prob                                                                                                      0.0    10.0   0.191
----------------------------------------------------------------------------------------------------------------------------------
                                                                                      Total inference time                   46.50
----------------------------------------------------------------------------------------------------------------------------------
Generating Profile Report 'output_report.html'...

making caffemodel
caffemodel file already exists

making check
mvNCCheck -w squeezenet_v1.0.caffemodel -i ../../data/images/cat.jpg -s 12 -id 281  deploy.prototxt -S 255 -M 120 -metric top1
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCheck v02.00, Copyright @ Intel Corporation 2017

/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.
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
USB: Transferring Data...
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.

Result: Validation Pass

Result:  (1000, 1, 1)
1) 281 0.55811
Expected:  (1000, 1, 1)
1) 281 0.56006
------------------------------------------------------------
 Obtained values 
------------------------------------------------------------
 Obtained Min Pixel Accuracy: 0.47951177693903446% (max allowed=2%), Pass
 Obtained Average Pixel Accuracy: 0.0019026047084480524% (max allowed=1%), Pass
 Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass
 Obtained Pixel-wise L2 error: 0.025980485955613475% (max allowed=1%), Pass
 Obtained Global Sum Difference: 0.010655701160430908
------------------------------------------------------------

making compile
mvNCCompile -w squeezenet_v1.0.caffemodel -s 12 deploy.prototxt
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCompile v02.00, Copyright @ Intel Corporation 2017

/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated

making cpp
g++ cpp/run.cpp -o cpp/run_cpp -lmvnc
make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'
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)
--2018-12-03 18:40:53--  http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gz
Resolving download.tensorflow.org (download.tensorflow.org)... 216.58.203.48, 2404:6800:4005:80d::2010
Connecting to download.tensorflow.org (download.tensorflow.org)|216.58.203.48|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 100885009 (96M) [application/x-tar]
Saving to: ‘inception_v3_2016_08_28.tar.gz’

inception_v3_2016_08_28.tar.gz   100%[=========================================================>]  96.21M  1.80MB/s    in 72s     

2018-12-03 18:42:06 (1.34 MB/s) - ‘inception_v3_2016_08_28.tar.gz’ saved [100885009/100885009]

WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
2018-12-03 18:42:11.368818: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
mvNCProfile -s 4 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCProfile v02.00, Copyright @ Intel Corporation 2017

/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
shape: (1, 299, 299, 3)
res.shape:  (1, 1, 1, 1001)
TensorFlow output shape:  (1, 1, 1001)
Layer  InceptionV3/InceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu  forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
USB: Transferring Data...
Time to Execute :  592.08  ms
USB: Myriad Execution Finished
Time to Execute :  566.8  ms
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.
Network Summary

Detailed Per Layer Profile
                                                                                                                  Bandwidth   time
#     Name                                                                                                  MFLOPs  (MB/s)    (ms)
==================================================================================================================================
0     InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu                                                              38.4  1012.0   4.552
1     InceptionV3/InceptionV3/Conv2d_2a_3x3/Relu                                                             398.3   619.4  19.719
2     InceptionV3/InceptionV3/Conv2d_2b_3x3/Relu                                                             796.6   334.0  35.643
3     InceptionV3/InceptionV3/MaxPool_3a_3x3/MaxPool                                                           3.1  1441.7   1.830
4     InceptionV3/InceptionV3/Conv2d_3b_1x1/Relu                                                              54.6   221.5   2.981
5     InceptionV3/InceptionV3/Conv2d_4a_3x3/Relu                                                            1393.7   137.8  55.048
6     InceptionV3/InceptionV3/MaxPool_5a_3x3/MaxPool                                                           2.1  1282.9   1.439
7     InceptionV3/InceptionV3/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu                                            30.1   352.5   1.339
8     InceptionV3/InceptionV3/Mixed_5b/Branch_1/Conv2d_0a_1x1/Relu                                            22.6   450.2   1.036
9     InceptionV3/InceptionV3/Mixed_5b/Branch_1/Conv2d_0b_5x5/Relu                                           188.2   339.8   8.691
10    InceptionV3/InceptionV3/Mixed_5b/Branch_2/Conv2d_0a_1x1/Relu                                            30.1   355.6   1.328
11    InceptionV3/InceptionV3/Mixed_5b/Branch_2/Conv2d_0b_3x3/Relu                                           135.5   166.9   8.706
12    InceptionV3/InceptionV3/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu                                           203.2   244.9   8.895
13    InceptionV3/InceptionV3/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool                                         4.2   594.3   0.755
14    InceptionV3/InceptionV3/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu                                            15.1   605.4   0.761
15    InceptionV3/InceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu                                            40.1   357.2   1.763
16    InceptionV3/InceptionV3/Mixed_5c/Branch_1/Conv2d_0b_1x1/Relu                                            30.1   477.8   1.301
17    InceptionV3/InceptionV3/Mixed_5c/Branch_1/Conv_1_0c_5x5/Relu                                           188.2   339.8   8.691
18    InceptionV3/InceptionV3/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu                                            40.1   357.3   1.762
19    InceptionV3/InceptionV3/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu                                           135.5   167.0   8.701
20    InceptionV3/InceptionV3/Mixed_5c/Branch_2/Conv2d_0c_3x3/Relu                                           203.2   245.0   8.894
21    InceptionV3/InceptionV3/Mixed_5c/Branch_3/AvgPool_0a_3x3/AvgPool                                         5.6   617.1   0.970
22    InceptionV3/InceptionV3/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu                                            40.1   356.9   1.764
23    InceptionV3/InceptionV3/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu                                            45.2   365.4   1.938
24    InceptionV3/InceptionV3/Mixed_5d/Branch_1/Conv2d_0a_1x1/Relu                                            33.9   475.9   1.469
25    InceptionV3/InceptionV3/Mixed_5d/Branch_1/Conv2d_0b_5x5/Relu                                           188.2   339.8   8.690
26    InceptionV3/InceptionV3/Mixed_5d/Branch_2/Conv2d_0a_1x1/Relu                                            45.2   362.2   1.956
27    InceptionV3/InceptionV3/Mixed_5d/Branch_2/Conv2d_0b_3x3/Relu                                           135.5   166.9   8.704
28    InceptionV3/InceptionV3/Mixed_5d/Branch_2/Conv2d_0c_3x3/Relu                                           203.2   245.0   8.893
29    InceptionV3/InceptionV3/Mixed_5d/Branch_3/AvgPool_0a_3x3/AvgPool                                         6.4   637.3   1.057
30    InceptionV3/InceptionV3/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu                                            45.2   362.1   1.956
31    InceptionV3/InceptionV3/Mixed_6a/Branch_0/Conv2d_1a_1x1/Relu                                           575.3   315.3  25.250
32    InceptionV3/InceptionV3/Mixed_6a/Branch_1/Conv2d_0a_1x1/Relu                                            45.2   363.4   1.949
33    InceptionV3/InceptionV3/Mixed_6a/Branch_1/Conv2d_0b_3x3/Relu                                           135.5   166.8   8.709
34    InceptionV3/InceptionV3/Mixed_6a/Branch_1/Conv2d_1a_1x1/Relu                                            47.9   891.8   2.443
35    InceptionV3/InceptionV3/Mixed_6a/Branch_2/MaxPool_1a_3x3/MaxPool                                         0.7  1418.0   0.475
36    InceptionV3/InceptionV3/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu                                            85.2   189.9   3.711
37    InceptionV3/InceptionV3/Mixed_6b/Branch_1/Conv2d_0a_1x1/Relu                                            56.8   235.7   2.592
38    InceptionV3/InceptionV3/Mixed_6b/Branch_1/Conv2d_0b_1x7/Relu                                            66.3   197.6   3.615
39    InceptionV3/InceptionV3/Mixed_6b/Branch_1/Conv2d_0c_7x1/Relu                                            99.4   183.7   4.490
40    InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0a_1x1/Relu                                            56.8   235.5   2.595
41    InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0b_7x1/Relu                                            66.3   201.1   3.553
42    InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0c_1x7/Relu                                            66.3   198.2   3.603
43    InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0d_7x1/Relu                                            66.3   200.8   3.557
44    InceptionV3/InceptionV3/Mixed_6b/Branch_2/Conv2d_0e_1x7/Relu                                            99.4   181.7   4.538
45    InceptionV3/InceptionV3/Mixed_6b/Branch_3/AvgPool_0a_3x3/AvgPool                                         4.0   517.3   0.821
46    InceptionV3/InceptionV3/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu                                            85.2   190.0   3.711
47    InceptionV3/InceptionV3/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu                                            85.2   190.1   3.708
48    InceptionV3/InceptionV3/Mixed_6c/Branch_1/Conv2d_0a_1x1/Relu                                            71.0   169.5   3.881
49    InceptionV3/InceptionV3/Mixed_6c/Branch_1/Conv2d_0b_1x7/Relu                                           103.6   155.0   6.201
50    InceptionV3/InceptionV3/Mixed_6c/Branch_1/Conv2d_0c_7x1/Relu                                           124.3   174.1   5.916
51    InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0a_1x1/Relu                                            71.0   168.0   3.918
52    InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0b_7x1/Relu                                           103.6   156.8   6.130
53    InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0c_1x7/Relu                                           103.6   154.5   6.220
54    InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0d_7x1/Relu                                           103.6   156.2   6.155
55    InceptionV3/InceptionV3/Mixed_6c/Branch_2/Conv2d_0e_1x7/Relu                                           124.3   172.3   5.977
56    InceptionV3/InceptionV3/Mixed_6c/Branch_3/AvgPool_0a_3x3/AvgPool                                         4.0   512.3   0.829
57    InceptionV3/InceptionV3/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu                                            85.2   187.8   3.753
58    InceptionV3/InceptionV3/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu                                            85.2   189.9   3.712
59    InceptionV3/InceptionV3/Mixed_6d/Branch_1/Conv2d_0a_1x1/Relu                                            71.0   169.6   3.880
60    InceptionV3/InceptionV3/Mixed_6d/Branch_1/Conv2d_0b_1x7/Relu                                           103.6   155.1   6.199
61    InceptionV3/InceptionV3/Mixed_6d/Branch_1/Conv2d_0c_7x1/Relu                                           124.3   173.9   5.924
62    InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0a_1x1/Relu                                            71.0   167.8   3.920
63    InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0b_7x1/Relu                                           103.6   156.6   6.140
64    InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0c_1x7/Relu                                           103.6   154.5   6.222
65    InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0d_7x1/Relu                                           103.6   156.3   6.151
66    InceptionV3/InceptionV3/Mixed_6d/Branch_2/Conv2d_0e_1x7/Relu                                           124.3   172.4   5.976
67    InceptionV3/InceptionV3/Mixed_6d/Branch_3/AvgPool_0a_3x3/AvgPool                                         4.0   505.3   0.841
68    InceptionV3/InceptionV3/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu                                            85.2   187.9   3.751
69    InceptionV3/InceptionV3/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu                                            85.2   190.0   3.711
70    InceptionV3/InceptionV3/Mixed_6e/Branch_1/Conv2d_0a_1x1/Relu                                            85.2   190.0   3.710
71    InceptionV3/InceptionV3/Mixed_6e/Branch_1/Conv2d_0b_1x7/Relu                                           149.2   181.7   6.802
72    InceptionV3/InceptionV3/Mixed_6e/Branch_1/Conv2d_0c_7x1/Relu                                           149.2   184.1   6.710
73    InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0a_1x1/Relu                                            85.2   189.9   3.712
74    InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0b_7x1/Relu                                           149.2   184.0   6.716
75    InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0c_1x7/Relu                                           149.2   181.6   6.803
76    InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0d_7x1/Relu                                           149.2   184.2   6.709
77    InceptionV3/InceptionV3/Mixed_6e/Branch_2/Conv2d_0e_1x7/Relu                                           149.2   181.8   6.798
78    InceptionV3/InceptionV3/Mixed_6e/Branch_3/AvgPool_0a_3x3/AvgPool                                         4.0   527.9   0.805
79    InceptionV3/InceptionV3/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu                                            85.2   190.0   3.710
80    InceptionV3/InceptionV3/Mixed_7a/Branch_0/Conv2d_0a_1x1/Relu                                            85.2   190.0   3.710
81    InceptionV3/InceptionV3/Mixed_7a/Branch_0/Conv2d_1a_3x3/Relu                                            70.8   579.4   3.474
82    InceptionV3/InceptionV3/Mixed_7a/Branch_1/Conv2d_0a_1x1/Relu                                            85.2   190.0   3.710
83    InceptionV3/InceptionV3/Mixed_7a/Branch_1/Conv2d_0b_1x7/Relu                                           149.2   181.7   6.799
84    InceptionV3/InceptionV3/Mixed_7a/Branch_1/Conv2d_0c_7x1/Relu                                           149.2   184.1   6.713
85    InceptionV3/InceptionV3/Mixed_7a/Branch_1/Conv2d_1a_3x3/Relu                                            42.5   736.2   2.158
86    InceptionV3/InceptionV3/Mixed_7a/Branch_2/MaxPool_1a_3x3/MaxPool                                         0.4  1268.7   0.335
87    InceptionV3/InceptionV3/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu                                            52.4   352.3   2.663
88    InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0a_1x1/Relu                                            62.9   362.1   3.022
89    InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu                                            56.6   343.0   2.876
90    InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_3x1/Relu                                            56.6   347.5   2.839
91    InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0a_1x1/Relu                                            73.4   342.0   3.657
92    InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0b_3x3/Relu                                           198.2   392.1   8.803
93    InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu                                            56.6   345.5   2.855
94    InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0d_3x1/Relu                                            56.6   347.7   2.837
95    InceptionV3/InceptionV3/Mixed_7b/Branch_3/AvgPool_0a_3x3/AvgPool                                         1.5   395.2   0.402
96    InceptionV3/InceptionV3/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu                                            31.5   370.0   1.690
97    InceptionV3/InceptionV3/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu                                            83.9   387.9   3.869
98    InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0a_1x1/Relu                                           100.7   403.2   4.342
99    InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu                                            56.6   344.8   2.861
100   InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu                                            56.6   347.7   2.837
101   InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0a_1x1/Relu                                           117.4   370.9   5.394
102   InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0b_3x3/Relu                                           198.2   394.1   8.759
103   InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu                                            56.6   346.4   2.848
104   InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0d_3x1/Relu                                            56.6   347.8   2.836
105   InceptionV3/InceptionV3/Mixed_7c/Branch_3/AvgPool_0a_3x3/AvgPool                                         2.4   389.1   0.653
106   InceptionV3/InceptionV3/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu                                            50.3   430.3   2.325
107   InceptionV3/AuxLogits/AvgPool_1a_5x5/AvgPool                                                             1.0   772.1   0.550
108   InceptionV3/AuxLogits/Conv2d_1b_1x1/Relu                                                                 4.9   394.9   0.568
109   InceptionV3/AuxLogits/Conv2d_2a_5x5/Relu                                                                 4.9  1149.3   4.243
110   InceptionV3/AuxLogits/Conv2d_2b_1x1/BiasAdd                                                              1.5  2030.2   0.724
111   InceptionV3/Logits/AvgPool_1a_8x8/AvgPool                                                                0.3  1058.9   0.240
112   InceptionV3/Logits/Conv2d_1c_1x1/BiasAdd                                                                 4.1  2109.3   1.857
113   InceptionV3/Predictions/Softmax                                                                          0.0    19.9   0.192
----------------------------------------------------------------------------------------------------------------------------------
                                                                                      Total inference time                  562.07
----------------------------------------------------------------------------------------------------------------------------------
Generating Profile Report 'output_report.html'...
mvNCCheck -s 4 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1 -i ../../data/images/cat.jpg -metric top1 -cs 0,1,2
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCheck v02.00, Copyright @ Intel Corporation 2017

/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
shape: (1, 299, 299, 3)
/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.
res.shape:  (1, 1, 1, 1001)
TensorFlow output shape:  (1, 1, 1001)
Layer  InceptionV3/InceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu  forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
USB: Transferring Data...
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.

Result: Validation Pass

Result:  (1, 1, 1001)
1) 282 0.55127
Expected:  (1, 1, 1001)
1) 282 0.557058
------------------------------------------------------------
 Obtained values 
------------------------------------------------------------
 Obtained Min Pixel Accuracy: 1.392059214413166% (max allowed=2%), Pass
 Obtained Average Pixel Accuracy: 0.005413443432189524% (max allowed=1%), Pass
 Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass
 Obtained Pixel-wise L2 error: 0.055187213227714436% (max allowed=1%), Pass
 Obtained Global Sum Difference: 0.030186183750629425
------------------------------------------------------------
test -f graph || mvNCCompile -s 4 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1
make[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)
--2018-12-03 18:42:43--  http://download.tensorflow.org/models/inception_v1_2016_08_28.tar.gz
Resolving download.tensorflow.org (download.tensorflow.org)... 216.58.220.208, 2404:6800:4005:80d::2010
Connecting to download.tensorflow.org (download.tensorflow.org)|216.58.220.208|:80... failed: Connection timed out.
Connecting to download.tensorflow.org (download.tensorflow.org)|2404:6800:4005:80d::2010|:80... failed: Network is unreachable.
Makefile:43: recipe for target 'weights' failed
make[3]: *** [weights] Error 4
make[3]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow/inception_v1'
Makefile:12: recipe for target 'inception_v1/.' failed
make[2]: *** [inception_v1/.] Error 2
make[2]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/tensorflow'
Makefile:12: recipe for target 'tensorflow/.' failed
make[1]: *** [tensorflow/.] Error 2
make[1]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples'
Makefile:57: recipe for target 'examples' failed
make: *** [examples] Error 2

strong@foreverstrong:~/ncs_workspace/ncsdk$ make examples
./install-opencv.sh
OpenCV Installation Starting

OpenCV already setup for python3


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'
make[5]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/data/ilsvrc12'

making prototxt
Prototxt file already exists

making caffemodel
caffemodel file already exists

making compile
mvNCCompile -w bvlc_googlenet.caffemodel -s 12 deploy.prototxt
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCompile v02.00, Copyright @ Intel Corporation 2017

Layer  inception_3b/1x1  forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
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 exists

making prototxt
Prototxt file already exists

making caffemodel
caffemodel file already exists

making compile
mvNCCompile -w squeezenet_v1.0.caffemodel -s 12 deploy.prototxt
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCCompile v02.00, Copyright @ Intel Corporation 2017

/usr/local/bin/ncsdk/Controllers/FileIO.py:65: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
Blob generated
make[4]: Leaving directory '/home/strong/ncs_workspace/ncsdk/examples/caffe/SqueezeNet'

making multistick_cpp
cp googlenet.graph cpp/googlenet.graph;
cp squeezenet.graph cpp/squeezenet.graph;
g++ cpp/multistick.cpp -o cpp/multistick_cpp -lmvnc
Created cpp/multistick_cpp executable
make[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_cpp
g++ cpp/hello_ncs.cpp -o cpp/hello_ncs_cpp -lmvnc
Created cpp/hello_ncs_cpp executable
make[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.py

making prototxt
Prototxt file already exists

making profile
mvNCProfile deploy.prototxt -s 12
/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?
  assert(False, "Layer type not supported by Convolution: " + obj.type)
mvNCProfile v02.00, Copyright @ Intel Corporation 2017
......
......
test -f graph || mvNCCompile -s 12 output/inception-v1.meta -in=input -on=InceptionV1/Logits/Predictions/Reshape_1
make[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 directories
make[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$