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Hello. I have newly installed Ubuntu 16.04 LTS.
I am following instructions on this page: https://developer.movidius.com/start
Executed these commands without error
mkdir -p ~/workspace
cd ~/workspace
git clone https://github.com/movidius/ncsdk.git
cd ~/workspace/ncsdk
make install
But when I am trying to run these commands on a new terminal window
cd ~/workspace/ncsdk
make examples
Getting errors below. What should I do?:
/bin/sh: 1: ./get_ilsvrc_aux.sh: not found
Makefile:9: recipe for target 'all' failed
make[5]: *** [all] Error 127
make[5]: Leaving directory '/home/master/workspace/ncsdk/examples/data/ilsvrc12'
Makefile:23: recipe for target 'prereqs' failed
make[4]: *** [prereqs] Error 2
make[4]: Leaving directory '/home/master/workspace/ncsdk/examples/caffe/GoogLeNet'
cp: '../../caffe/GoogLeNet/graph' durumlanamadı: Böyle bir dosya ya da dizin yok
Makefile:9: recipe for target 'googlenet' failed
make[3]: *** [googlenet] Error 1
make[3]: Leaving directory '/home/master/workspace/ncsdk/examples/apps/multistick_cpp'
Makefile:12: recipe for target 'multistick_cpp/.' failed
make[2]: *** [multistick_cpp/.] Error 2
make[2]: Leaving directory '/home/master/workspace/ncsdk/examples/apps'
Makefile:12: recipe for target 'apps/.' failed
make[1]: *** [apps/.] Error 2
make[1]: Leaving directory '/home/master/workspace/ncsdk/examples'
Makefile:57: recipe for target 'examples' failed
make: *** [examples] Error 2
Link Copied
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I met the same problem with my Ubuntu 16.04 LTS. I guess it did not find my Movidius NCS stick, which is plugged into my PC. Can someone help us with our problem?
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@deepyellow Try running the hello_ncs app (either c or python version) to see if you can ping your NCS device. If your device was detected and no problems were encountered, try making the examples again.
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@Tome_at_Intel,
Happy to see you here. I will give you more information about my case:
First my PC configuration is: Intel-core i5-2400S, @ 2.50GHz × 4, 64bits, USB 2.0, and I installed Ubuntu 16.04 LTS (direct install, no Virtualbox) and Intel Movidius Neural Compute SDK v.1.12.
Output of running the hello_ncs app (python version) is as follows:
making run
python3 hello_ncs.py;
Hello NCS! Device opened normally.
Goodbye NCS! Device closed normally.
NCS device working.
According to documentation it works properly. What do you think?
Vlad
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@Vlad It seems like your NCS device is definitely being recognized by the system. Do me a favor and see if you can go into each of the NCSDK example directories (like AlexNet) and do a make run. Let me know if this works. Thanks.
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@Tome_at_Intel ,
Examples from both folders _caffe_ and _tensorflow_ do not work. I show you error messages after run make all for two of them:
Output in the case of _AlexNet_:
Error importing caffe
making caffemodel
caffemodel file already exists
making check
mvNCCheck -w bvlc_alexnet.caffemodel -i ../../data/images/cat.jpg -s 12 -id 281 deploy.prototxt -M 110 -S 255 -metric top1
mvNCCheck v02.00, Copyright @ Movidius Ltd 2016
Error importing caffe
making compile
mvNCCompile -w bvlc_alexnet.caffemodel -s 12 deploy.prototxt
mvNCCompile v02.00, Copyright @ Movidius Ltd 2016
Error importing caffe
making cpp
g++ cpp/run.cpp cpp/fp16.c -o cpp/run_cpp -lmvnc
Output in the case of _inception_v1_:
[Error 7] Toolkit Error: USB Failure. Code: Error opening device
mvNCCheck -s 12 output/inception-v1.meta -in=input -on=InceptionV1/Logits/Predictions/Reshape_1 -i ../../data/images/cat.jpg -id 829 -S 2 -M 128 -cs 0,1,2 -metric top1
mvNCCheck v02.00, Copyright @ Movidius Ltd 2016
Traceback (most recent call last):
File "/usr/local/bin/mvNCCheck", line 152, in <module>
quit_code = check_net(args.network, args.image, args.inputnode, args.outputnode, args.nshaves, args.inputsize, args.weights, args)
File "/usr/local/bin/mvNCCheck", line 130, in check_net
net = parse_tensor(args, myriad_config, file_gen=True)
File "/usr/local/bin/ncsdk/Controllers/TensorFlowParser.py", line 271, in parse_tensor
channel_swap=arguments.channel_swap)
File "/usr/local/bin/ncsdk/Controllers/MiscIO.py", line 239, in parse_img
import skimage.transform
File "/usr/local/lib/python3.5/dist-packages/skimage/transform/__init__.py", line 1, in <module>
from .hough_transform import (hough_line, hough_line_peaks,
File "/usr/local/lib/python3.5/dist-packages/skimage/transform/hough_transform.py", line 3, in <module>
from .. import measure
File "/usr/local/lib/python3.5/dist-packages/skimage/measure/__init__.py", line 6, in <module>
from ._regionprops import regionprops, perimeter
File "/usr/local/lib/python3.5/dist-packages/skimage/measure/_regionprops.py", line 7, in <module>
from ._label import label
File "/usr/local/lib/python3.5/dist-packages/skimage/measure/_label.py", line 1, in <module>
from ._ccomp import label_cython as clabel
ImportError: cannot import name 'label_cython'
Makefile:55: recipe for target 'check' failed
make: [check] Error 1 (ignored)
test -f graph || mvNCCompile -s 12 output/inception-v1.meta -in=input -on=InceptionV1/Logits/Predictions/Reshape_1
I managed only to install NC Toolkit successfully and _PYTHONPATH_ variable was also set correctly. After that I could not run _./dlnets.sh_ or install API archive.
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@Vlad Try using the Berkeley Caffe and see if you can run an inference using it. You would have to install the Berkeley flavor of Caffe from http://caffe.berkeleyvision.org/install_apt.html. Additionally when installing the NCSDK, you have to edit the ncsdk.conf file in the NCSDK directory and remove the line CAFFE_FLAVOR=ssd
.
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Hi @Tome_at_Intel,
I managed to install current version of caffe (with python 2.7, CPU version, and OpenCV 3). Then I reinstalled NCSDK and ran successfully caffe and tensorflow examples from NCSDK example directory.
After that I installed NC Toolkit but again failed to install NC API.
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@Vlad Make sure you have Python 3. The SDK's Python API is in Python 3 as listed at https://movidius.github.io/ncsdk/py_api/. [EDIT] Apologies. We do have support for Python 2.7 in our API.
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@Tome_at_Intel
I meet the same error at 'make examples',so I entry the folder 'app' and run make ,Output:
{gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk/examples/apps$ make
make -C hello_ncs_py/.
make[1]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/apps/hello_ncs_py'
nothing to make, use 'make run' to run.
make[1]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/apps/hello_ncs_py'
make -C multistick_cpp/.
make[1]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/apps/multistick_cpp'
making googlenet
(cd ../../caffe/GoogLeNet; make compile; cd ../../apps/multistick_cpp; cp ../../caffe/GoogLeNet/graph ./googlenet.graph;)
make[2]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet'
making prereqs
(cd ../../data/ilsvrc12; make)
make[3]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/data/ilsvrc12'
make[3]: Leaving directory '/home/gritzhang/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
mvNCCompile v02.00, Copyright @ Movidius Ltd 2016
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0201 23:45:29.084002 6883 upgrade_proto.cpp:95] Check failed: ReadProtoFromBinaryFile(param_file, param) Failed to parse NetParameter file: bvlc_googlenet.caffemodel
*** Check failure stack trace: ***
Makefile:80: recipe for target 'compile' failed
make[2]: *** [compile] Aborted (core dumped)
make[2]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet'
cp: omitting directory '../../caffe/GoogLeNet/graph'
Makefile:9: recipe for target 'googlenet' failed
make[1]: *** [googlenet] Error 1
make[1]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/apps/multistick_cpp'
Makefile:12: recipe for target 'multistick_cpp/.' failed
make: *** [multistick_cpp/.] Error 2
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk/examples/apps$ }
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Total inference time 48.04
Generating Profile Report 'output_report.html'…
making caffemodel
Downloading caffemodel file
--2018-02-01 23:49:54-- https://github.com/DeepScale/SqueezeNet/raw/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel
Resolving github.com (github.com)… 192.30.255.113, 192.30.255.112
Connecting to github.com (github.com)|192.30.255.113|: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]
--2018-02-01 23:49:56-- https://raw.githubusercontent.com/DeepScale/SqueezeNet/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel
Resolving raw.githubusercontent.com (raw.githubusercontent.com)… 151.101.196.133
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.196.133|:443… connected.
HTTP request sent, awaiting response… 200 OK
Length: 5001403 (4.8M) [application/octet-stream]
Saving to: ‘./squeezenet_v1.0.caffemodel’
squeezenet_v1.0.caffemodel 100%[==================================================================>] 4.77M 3.62KB/s in 30m 50s
Last-modified header missing -- time-stamps turned off.
2018-02-02 00:20:58 (2.64 KB/s) - ‘./squeezenet_v1.0.caffemodel’ saved [5001403/5001403]
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
mvNCCheck v02.00, Copyright @ Movidius Ltd 2016
/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15.
warn("The default mode, 'constant', will be changed to 'reflect' in "
/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
"Consider reducing your data sizes for best performance\033[0m")
USB: Transferring Data…
USB: Myriad Execution 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: 0.0019096713003818877% (max allowed=1%), Pass
Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass
Obtained Pixel-wise L2 error: 0.026146444662612452% (max allowed=1%), Pass
Obtained Global Sum Difference: 0.010695278644561768
making compile
mvNCCompile -w squeezenet_v1.0.caffemodel -s 12 deploy.prototxt
mvNCCompile v02.00, Copyright @ Movidius Ltd 2016
/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
"Consider reducing your data sizes for best performance\033[0m")
making cpp
g++ cpp/run.cpp cpp/fp16.c -o cpp/run_cpp -lmvnc
make[1]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/caffe/SqueezeNet'
make -C GoogLeNet/.
make[1]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet'
making prereqs
(cd ../../data/ilsvrc12; make)
make[2]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/data/ilsvrc12'
make[2]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/data/ilsvrc12'
making prototxt
Prototxt file already exists
making profile
mvNCProfile deploy.prototxt -s 12
mvNCProfile v02.00, Copyright @ Movidius Ltd 2016
__ WARNING: using empty weights __
Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_3b/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4a/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4a/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4b/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4b/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4c/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4c/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4d/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4d/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4e/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4e/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_5a/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_5a/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_5b/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat
Traceback (most recent call last):
File "/usr/local/bin/mvNCProfile", line 121, in
profile_net(args.network, args.inputnode, args.outputnode, args.nshaves, args.inputsize, args.weights, args.device_no)
File "/usr/local/bin/mvNCProfile", line 110, in profile_net
graph_file.generate()
File "/usr/local/bin/ncsdk/Models/Blob.py", line 58, in generate
with open(self.blob_name, 'wb') as f:
IsADirectoryError: [Errno 21] Is a directory: 'graph'
Makefile:65: recipe for target 'profile' failed
make[1]: *** [profile] Error 1
make[1]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet'
Makefile:12: recipe for target 'GoogLeNet/.' failed
make: *** [GoogLeNet/.] Error 2
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk/examples/caffe$
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@gritzhang Can you double check that you don't have a directory inside of '/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet' that is named "graph"?
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@Tome_at_Intel Thanks for your help !I check that directory,there is a foder named "graph",but it empty! What can I do, to resolve my issue ?
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@gritzhang Please delete the folder named graph inside of '/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet' and try making the example again. It seems that somehow the folder was created and it is causing an issue when the program tries to create a blob from the graph file. Let me know if this fixes your issue.
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@Tome_at_Intel
Thanks again! The folder named graph has been deleted!Now ,the issue still be there!In ncsdk ,I run 'make examples' output:
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk$ make examples
./install-opencv.sh
OpenCV already setup for python
make examples starting.
(cd examples; make)
make[1]: Entering directory '/home/gritzhang/workspace/ncsdk/examples'
make -C apps/.
make[2]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/apps'
make -C hello_ncs_py/.
make[3]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/apps/hello_ncs_py'
nothing to make, use 'make run' to run.
make[3]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/apps/hello_ncs_py'
make -C multistick_cpp/.
make[3]: Entering directory '/home/gritzhang/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/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet'
making prereqs
(cd ../../data/ilsvrc12; make)
make[5]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/data/ilsvrc12'
make[5]: Leaving directory '/home/gritzhang/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
mvNCCompile v02.00, Copyright @ Movidius Ltd 2016
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0207 20:15:39.877845 3132 upgrade_proto.cpp:95] Check failed: ReadProtoFromBinaryFile(param_file, param) Failed to parse NetParameter file: bvlc_googlenet.caffemodel
*** Check failure stack trace: ***
Makefile:80: recipe for target 'compile' failed
make[4]: *** [compile] Aborted (core dumped)
make[4]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet'
cp: cannot stat '../../caffe/GoogLeNet/graph': No such file or directory
Makefile:9: recipe for target 'googlenet' failed
make[3]: *** [googlenet] Error 1
make[3]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/apps/multistick_cpp'
Makefile:12: recipe for target 'multistick_cpp/.' failed
make[2]: *** [multistick_cpp/.] Error 2
make[2]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/apps'
Makefile:12: recipe for target 'apps/.' failed
make[1]: *** [apps/.] Error 2
make[1]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples'
Makefile:57: recipe for target 'examples' failed
make: *** [examples] Error 2
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk$
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So I entry the folder named "GoogLeNet" inside of'/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet' .Then I run 'make'.
output :
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk/examples/caffe/GoogLeNet$ make
making prereqs
(cd ../../data/ilsvrc12; make)
make[1]: Entering directory '/home/gritzhang/workspace/ncsdk/examples/data/ilsvrc12'
make[1]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/data/ilsvrc12'
making prototxt
Prototxt file already exists
making profile
mvNCProfile deploy.prototxt -s 12
mvNCProfile v02.00, Copyright @ Movidius Ltd 2016
__ WARNING: using empty weights __
Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_3b/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4a/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4a/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4b/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4b/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4c/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4c/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4d/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4d/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_4e/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_4e/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_5a/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_5a/pool_proj forced to im2col_v2, because its output is used in concat
Layer inception_5b/1x1 forced to im2col_v2, because its output is used in concat
Layer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
"Consider reducing your data sizes for best performance\033[0m")
USB: Transferring Data…
Time to Execute : 130.16 ms
USB: Myriad Execution Finished
Time to Execute : 108.14 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)
….
Total inference time 96.25
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
mvNCCheck v02.00, Copyright @ Movidius Ltd 2016
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0207 22:24:43.771184 6833 upgrade_proto.cpp:95] Check failed: ReadProtoFromBinaryFile(param_file, param) Failed to parse NetParameter file: bvlc_googlenet.caffemodel
*** Check failure stack trace: ***
Makefile:85: recipe for target 'check' failed
make: *** [check] Aborted (core dumped)
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk/examples/caffe/GoogLeNet$
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@Tome_at_Intel
Now there is a new issue,what is wrong with my computer?Output :
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0208 23:37:04.329712 3880 upgrade_proto.cpp:95] Check failed: ReadProtoFromBinaryFile(param_file, param) Failed to parse NetParameter file: bvlc_googlenet.caffemodel
*** Check failure stack trace: ***
Makefile:85: recipe for target 'check' failed
make[3]: *** [check] Aborted (core dumped)
make[3]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/caffe/GoogLeNet'
Makefile:12: recipe for target 'GoogLeNet/.' failed
make[2]: *** [GoogLeNet/.] Error 2
make[2]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples/caffe'
Makefile:12: recipe for target 'caffe/.' failed
make[1]: *** [caffe/.] Error 2
make[1]: Leaving directory '/home/gritzhang/workspace/ncsdk/examples'
Makefile:57: recipe for target 'examples' failed
make: *** [examples] Error 2
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk$
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@gritzhang I have not been able to reproduce the issue above and I recommend doing an uninstall and reinstall of the NCSDK. Here are the steps to perform the uninstall and new installation:
Perform an uninstall of the NCSDK by entering the ncsdk root directory and typing in:
make uninstall
Afterwards delete the ncsdk folder and its contents
Download a fresh copy of the NCSDK at https://github.com/movidius/ncsdk or do a Git clone https://github.com/movidius/ncsdk to your desired location.
Navigate to the ncsdk folder you just downloaded and type in:
make install
After the installation is complete, navigate to ncsdk/examples/caffe/GoogLeNet , plug your NCS in, and type in
make run
and please let me know if you were successful.
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@Tome_at_Intel
follow your instruction. Finaly when I make examples , I did not see the error information! So I try the run.py inside of AlexNet .It is work OK! Thank you very much!
Output as below:
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk-master/examples/caffe/AlexNet$ ./run.py
Device 0 Address: 1.1 - VID/PID 03e7:2150
Starting wait for connect with 2000ms timeout
Found Address: 1.1 - VID/PID 03e7:2150
Found EP 0x81 : max packet size is 512 bytes
Found EP 0x01 : max packet size is 512 bytes
Found and opened device
Performing bulk write of 865724 bytes…
Successfully sent 865724 bytes of data in 215.530091 ms (3.830643 MB/s)
Boot successful, device address 1.1
Found Address: 1.1 - VID/PID 03e7:f63b
done
Booted 1.1 -> VSC
------- predictions --------
prediction 0 (probability 94.970703125%) is n03272010 electric guitar label index is: 546
prediction 1 (probability 4.76684570312%) is n02676566 acoustic guitar label index is: 402
prediction 2 (probability 0.102138519287%) is n02787622 banjo label index is: 420
prediction 3 (probability 0.0409126281738%) is n04517823 vacuum, vacuum cleaner label index is: 882
prediction 4 (probability 0.0347137451172%) is n04141076 sax, saxophone label index is: 776
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk-master/examples/caffe/AlexNet$
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@Tome_at_Intel
follow your instruction. Finaly when I make examples , I did not see the error information! So I try the run.py inside of AlexNet .It is work OK! Thank you very much!
Output as below:
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk-master/examples/caffe/AlexNet$ ./run.py
Device 0 Address: 1.1 - VID/PID 03e7:2150
Starting wait for connect with 2000ms timeout
Found Address: 1.1 - VID/PID 03e7:2150
Found EP 0x81 : max packet size is 512 bytes
Found EP 0x01 : max packet size is 512 bytes
Found and opened device
Performing bulk write of 865724 bytes…
Successfully sent 865724 bytes of data in 215.530091 ms (3.830643 MB/s)
Boot successful, device address 1.1
Found Address: 1.1 - VID/PID 03e7:f63b
done
Booted 1.1 -> VSC
------- predictions --------
prediction 0 (probability 94.970703125%) is n03272010 electric guitar label index is: 546
prediction 1 (probability 4.76684570312%) is n02676566 acoustic guitar label index is: 402
prediction 2 (probability 0.102138519287%) is n02787622 banjo label index is: 420
prediction 3 (probability 0.0409126281738%) is n04517823 vacuum, vacuum cleaner label index is: 882
prediction 4 (probability 0.0347137451172%) is n04141076 sax, saxophone label index is: 776
gritzhang@gritzhang-Rev-1-0:~/workspace/ncsdk-master/examples/caffe/AlexNet$
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@gritzhang Glad to hear it's working for you!
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