技术标签: ncsdk-2.05.00.02 Neural Compute SDK Movidius Neural Compute Stick Intel Movidius
movidius/ncsdk
Software Development Kit for the Neural Compute Stick
https://github.com/movidius/ncsdk
Releases
https://github.com/movidius/ncsdk/releases
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-2.05.00.02.zip 解压为 ncsdk-2.05.00.02,重命名为 ncsdk.
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
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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
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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/
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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
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NCSDK-2.05.00.02/ncsdk-x86_64/tk/Controllers/Parsers/TensorFlowParser/ReLU.py
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Reading package lists...
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Reading state information...
automake is already the newest version (1:1.15-4ubuntu1).
gfortran is already the newest version (4:5.3.1-1ubuntu1).
libleveldb-dev is already the newest version (1.18-5).
libprotobuf-dev is already the newest version (2.6.1-1.3).
libsnappy-dev is already the newest version (1.1.3-2).
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]
Extracting templates from packages: 100%
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Processing triggers for libc-bin (2.23-0ubuntu10) ...
/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/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="${PYTHONPATH}:/opt/movidius/caffe/python"
strong@foreverstrong:~/ncs_workspace/ncsdk$
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.
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Length: 17858008 (17M) [application/octet-stream]
Saving to: ‘caffe_ilsvrc12.tar.gz’
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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, ...
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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, ...
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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, ...
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Length: 1250 (1.2K) [text/plain]
Saving to: ‘./LICENSE’
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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, ...
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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$
在刚刚完成的案例中,图像加载、位置变化、绘制图像都需要程序员编写代码分别处理 为了简化开发步骤,pygame提供了两个类pygame.sprite.Sprite——存储图像数据image和位置rect的对象 pygame.sprite.Group精灵(需要派生子类) image记录图像数据 rect记录在屏幕上的位置 update(*args):更新..._什么是精灵组
2019/04/12 华为通用软件开发工程师现场面试时间轴三月中旬做的笔试 3题ac两道4/8 性格测试4/12 现场面试地点是 广州某家酒店,近地铁站的,中大过去也是要一个小时。今天还下大雨,9点开始签到,到的人还不是很多。我因为比较早去,所以面试没有等太久,10.40就结束全部面试。建议后面去的同学也早点到场,避免过长的等候一面自我介绍项目挑一个你觉得最有价值的项........._华为通用软件开发
C++基础入门---8.结构体【P64~P71】8. 结构体8.1 结构体的定义和使用8.2 结构体数组8.3 结构体指针8.4 结构体嵌套结构体8.5 结构体作函数参数8.6 结构体中const使用场景8.7 结构体案例18.8 结构体案例28. 结构体结构体属于用户自定义的数据类型,允许用户存储不同的数据类型8.1 结构体的定义和使用注:1、定义结构体时的关键字是struct,不可以省略;2、创建结构体变量时,关键字 struct 可以省略;3、结构体变量利用操作符 “.” 访问成员。_c++ p64
ICE Technology Unplugged Jack Gansslehttp://www.embedded.com/1999/9910/9910sr.htmReportsof the demise of the ICE are premature. This powerful debugging tool isalive and well, even if it may need m
命令行直接设定环境变量,可以正常展示: 注意:不要设定双引号,设定以后反而显示乱码 也可以直接设定环境变量 上述设定对于PL/SQL同样有效 参考: NLS_LANG是一个环境变量,用于定义语言,地域以及字符集属性。对于非英语的字符集,NLS_LANG的设置就非常重要。NLS:‘National Language Support (NLS)’ 当我们设定一..._sqlplus修改nls变量
----陈运文 通常情况下,该编译报错信息之前会给出出现错误的静态库(.a结尾文件)、或动态库(.so结尾文件),该报错的基本原因是当前编译器无法对库文件进行正确的解析Could not read symbols报错类型 具体的报错信息会在Could not read symbols:字段后给出,常见的一些报警信息形如: /usr/lib/libdemo.so: co
感觉这个挺有意思的,所以就弄了,也需要了几个知识点,顺带学习了,记录一下。主要用到的是 vue-cropper 截图插件,具体的安装,引入,使用请看 vue-cropper官方文档 ,很详细了,这里不赘述。效果如图:在硬菜之前先来点前菜吧,使用中遇到的东西,记录一下:1,FileReader 函数FileReader对象允许Web应用程序异步读取存储在用户计算机上的文件(或原始数据缓冲区)的内容,使用File或Blob对象指定要读取的文件或数据。FileReade..._vuecropper文档
pipy国内镜像目前有:Win7下配置pip源:1、在win7用户目录下创建pip目录,以用户user为例:C:\Users\user\pip2、在pip目录下新建pip.ini文件:C:\Users\user\pip\pip.ini3、配置文件内容:以下是一个简单的配置示例,供参考:[global]index-url = http://pypi.douban.com/simpletrusted-..._win7 pip.conf
第一种: 设直线方程为ax+by+c=0,点坐标为(m,n) 则垂足为((b*b*m-a*b*n-a*c)/(a*a+b*b),(a*a*n-a*b*m-b*c)/(a*a+b*b))第二种:计算点到线段的最近点如果该线段平行于X轴(Y轴),则过点point作该线段所在直线的垂线,垂足很容易求得,然后计算出垂足,如果垂足在线段上则返回垂足,否则返回离垂足近的端点...
什么是嵌入式? 嵌入式分为广义和狭义两种。广义的嵌入式就是片上系统(system on a chip),包括单片机、PSOC、NIOS、Microblaze等。而狭义的嵌入式就是ARM9、cortex A8等特定的跑操作系统的芯片。这里主要介绍狭义嵌入式的学习路线。 还是主流的方法,先学会使用它,再深入研究底层。 常用的操作系统有linux、WI
交换机中的产品参数有个100Base-T 100Base-SX 100Base-LX 100Base-TX这里面T,SX,LX,TX的意思分别是:SX多模光纤LX多模光纤或单模光纤TX5类UTP 转载于:https://blog.51cto.com/zhengshun/890174...
最近无意间看到一些面试题,提到如何关闭一个线程。然后就在想,关闭线程不就是调用Thread.stop()的方法就好了吗?现在看来还真是有些问题了。翻了下Effective java那本书,了解到原来stop方法在很久之前就不提倡使用,因为这个方法是不安全的。 那么,要怎么去关闭一个正在执行的线程呢?一开始就想到用一个boolean变量去控制:public class ThreadExample e_线程被杀后 需要关闭文件吗