goruck / edge-tpu-servers Goto Github PK

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Object and face recognition using Google's edge TPU

License: MIT License

Python 100.00%

tensorflow tpu-acceleration opencv dlib

edge-tpu-servers's People

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edge-tpu-servers's Issues

Cannot install most dependencies

Cannot install most dependencies such as cmake and git in the Mendel system.
Warning when I do apt-get update
W: Failed to fetch https://packages.cloud.google.com/apt/dists/mendel-chef/InRel ease Operation too slow. Less than 10 bytes/sec transferred the last 120 seconds

Do you know why?

Thanks.

dlib_encoder enhancement

Thanks for your helpful repository. I have tried dlib face encoder for face recognition purpose in coral developer board which takes around 800 ms for me.

Is it normal or am i missing something ?

Can i make this even faster ?

Dlib installation failor and coral dev board, creatig swap file on microsd consuming from root memory.

Hello @goruck ,
Thanks in advace for your nice guiding repo.
I would like to ask that when I follow the instruction for swapfile. I mounted sd card on boot with writing to /etc/fstab
and mounted good. When I follow :
$ cd /media/mendel

# Create a swapfile else you'll run out of memory compiling.
$ sudo mkdir swapfile
# Now let's increase the size of swap file.
$ sudo dd if=/dev/zero of=/swapfile bs=1M count=2048 oflag=append conv=notrunc
# Setup the file as a "swap file".
$ sudo mkswap /swapfile
# Enable swapping.
$ sudo swapon /swapfile

Then after swapfile seams at root and consuming root memory instead sd card. What am I doing wrong.
Here the result disk usage after swap file (before swap file root was %40)

mendel@green-zebra:/media/mendel$ df
Filesystem 1K-blocks Used Available Use% Mounted on
/dev/root 5230192 3955464 1001120 80% /
devtmpfs 340316 0 340316 0% /dev
tmpfs 504796 0 504796 0% /dev/shm
tmpfs 504796 19448 485348 4% /run
tmpfs 5120 4 5116 1% /run/lock
tmpfs 504796 0 504796 0% /sys/fs/cgroup
tmpfs 504796 484 504312 1% /var/log
/dev/mmcblk0p3 1998672 147668 1729764 8% /home
/dev/mmcblk0p1 126931 30508 89870 26% /boot
tmpfs 100956 13052 87904 13% /run/user/1000
/dev/sda 15133808 1065480 14068328 8% /media/microsd
/dev/mmcblk1 30546356 45084 28926540 1% /media/mendel

Also /swapfile folder exist in root too

is this normal or something I did wrong?

Also I am not able to build dlib since 3 days :)) gives error like :

mendel@green-zebra:/media/mendel/dlib$ python3 setup.py install --set DLIB_NO_GUI_SUPPORT=YES \
> --set DLIB_USE_CUDA=NO --compiler-flags "-O3"
running install
running bdist_egg
running egg_info
creating tools/python/dlib.egg-info
error: could not create 'tools/python/dlib.egg-info': Permission denied
mendel@green-zebra:/media/mendel/dlib$ sudo python3 setup.py install --set DLIB_NO_GUI_SUPPORT=YES --set DLIB_USE_CUDA=NO --compiler-flags "-O3"
running install
running bdist_egg
running egg_info
creating tools/python/dlib.egg-info
writing tools/python/dlib.egg-info/PKG-INFO
writing dependency_links to tools/python/dlib.egg-info/dependency_links.txt
writing top-level names to tools/python/dlib.egg-info/top_level.txt
writing manifest file 'tools/python/dlib.egg-info/SOURCES.txt'
package init file 'tools/python/dlib/__init__.py' not found (or not a regular file)
reading manifest file 'tools/python/dlib.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
no previously-included directories found matching 'tools/python/build*'
writing manifest file 'tools/python/dlib.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-aarch64/egg
running install_lib
running build_py
running build_ext
Building extension for Python 3.7.3 (default, Jan 22 2021, 20:04:44) 
Invoking CMake setup: 'cmake /media/mendel/dlib/tools/python -DCMAKE_LIBRARY_OUTPUT_DIRECTORY=/media/mendel/dlib/build/lib.linux-aarch64-3.7 -DPYTHON_EXECUTABLE=/usr/bin/python3 -DDLIB_NO_GUI_SUPPORT=YES -DDLIB_USE_CUDA=NO -DCMAKE_CXX_FLAGS=-O3 -DCMAKE_BUILD_TYPE=Release'
-- The C compiler identification is GNU 8.3.0
-- The CXX compiler identification is GNU 8.3.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found PythonInterp: /usr/bin/python3 (found version "3.7.3") 
-- Found PythonLibs: python3.7m
-- Performing Test HAS_CPP14_FLAG
-- Performing Test HAS_CPP14_FLAG - Success
-- pybind11 v2.2.4
-- Using CMake version: 3.13.4
-- Compiling dlib version: 19.22.99
-- 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  
-- Searching for BLAS and LAPACK
-- Searching for BLAS and LAPACK
-- Could NOT find PkgConfig (missing: PKG_CONFIG_EXECUTABLE) 
-- Looking for cblas_ddot
-- Looking for cblas_ddot - not found
-- Looking for sys/types.h
-- Looking for sys/types.h - found
-- Looking for stdint.h
-- Looking for stdint.h - found
-- Looking for stddef.h
-- Looking for stddef.h - found
-- Check size of void*
-- Check size of void* - done
 *****************************************************************************
 *** No BLAS library found so using dlib's built in BLAS.  However, if you ***
 *** install an optimized BLAS such as OpenBLAS or the Intel MKL your code ***
 *** will run faster.  On Ubuntu you can install OpenBLAS by executing:    ***
 ***    sudo apt-get install libopenblas-dev liblapack-dev                 ***
 *** Or you can easily install OpenBLAS from source by downloading the     ***
 *** source tar file from http://www.openblas.net, extracting it, and      ***
 *** running:                                                              ***
 ***    make; sudo make install                                            ***
 *****************************************************************************
-- C++11 activated.
-- Configuring done
-- Generating done
-- Build files have been written to: /media/mendel/dlib/build/temp.linux-aarch64-3.7
Invoking CMake build: 'cmake --build . --config Release -- -j1'
Scanning dependencies of target dlib
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[ 31%] Building CXX object dlib_build/CMakeFiles/dlib.dir/filtering/kalman_filter.cpp.o
In file included from /media/mendel/dlib/dlib/filtering/../matrix.h:11,
                 from /media/mendel/dlib/dlib/filtering/kalman_filter.h:7,
                 from /media/mendel/dlib/dlib/filtering/kalman_filter.cpp:6:
/media/mendel/dlib/dlib/filtering/../matrix/matrix_la.h: In function ‘long int dlib::svd4(dlib::svd_u_mode, bool, const dlib::matrix_exp<EXP>&, dlib::matrix<typename EXP::type, uM, uN, MM1, L1>&, dlib::matrix<typename EXP::type, qN, qX, MM2, L1>&, dlib::matrix<typename EXP::type, vM, vN, MM3, L1>&) [with EXP = dlib::matrix_op<dlib::op_trans<dlib::matrix_op<dlib::op_trans<dlib::matrix<double, 1, 2, dlib::memory_manager_stateless_kernel_1<char>, dlib::row_major_layout> > > > >; long int qN = 1; long int qX = 1; long int uM = 1; long int uN = 1; long int vM = 2; long int vN = 1; MM1 = dlib::memory_manager_stateless_kernel_1<char>; MM2 = dlib::memory_manager_stateless_kernel_1<char>; MM3 = dlib::memory_manager_stateless_kernel_1<char>; L1 = dlib::row_major_layout]’:
/media/mendel/dlib/dlib/filtering/../matrix/matrix_la.h:225:32: warning: iteration 1 invokes undefined behavior [-Waggressive-loop-optimizations]
             y = abs(q(i)) + abs(e(i));
                             ~~~^~~~~~
/media/mendel/dlib/dlib/filtering/../matrix/matrix_la.h:163:20: note: within this loop
         for (i=0; i<n; i++)
                   ~^~
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[ 84%] Linking CXX static library libdlib.a
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Scanning dependencies of target _dlib_pybind11
[ 84%] Building CXX object CMakeFiles/_dlib_pybind11.dir/src/dlib.cpp.o
In file included from /media/mendel/dlib/dlib/external/pybind11/include/pybind11/pytypes.h:12,
                 from /media/mendel/dlib/dlib/external/pybind11/include/pybind11/cast.h:13,
                 from /media/mendel/dlib/dlib/external/pybind11/include/pybind11/attr.h:13,
                 from /media/mendel/dlib/dlib/external/pybind11/include/pybind11/pybind11.h:43,
                 from /media/mendel/dlib/dlib/../dlib/python/pybind_utils.h:6,
                 from /media/mendel/dlib/dlib/../dlib/python.h:6,
                 from /media/mendel/dlib/tools/python/src/opaque_types.h:6,
                 from /media/mendel/dlib/tools/python/src/dlib.cpp:4:
/media/mendel/dlib/dlib/external/pybind11/include/pybind11/detail/common.h:112:10: fatal error: Python.h: No such file or directory
 #include <Python.h>
          ^~~~~~~~~~
compilation terminated.
make[2]: *** [CMakeFiles/_dlib_pybind11.dir/build.make:63: CMakeFiles/_dlib_pybind11.dir/src/dlib.cpp.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:73: CMakeFiles/_dlib_pybind11.dir/all] Error 2
make: *** [Makefile:84: all] Error 2
Traceback (most recent call last):
  File "setup.py", line 261, in <module>
    'Topic :: Software Development',
  File "/usr/lib/python3/dist-packages/setuptools/__init__.py", line 145, in setup
    return distutils.core.setup(**attrs)
  File "/usr/lib/python3.7/distutils/core.py", line 148, in setup
    dist.run_commands()
  File "/usr/lib/python3.7/distutils/dist.py", line 966, in run_commands
    self.run_command(cmd)
  File "/usr/lib/python3.7/distutils/dist.py", line 985, in run_command
    cmd_obj.run()
  File "/usr/lib/python3/dist-packages/setuptools/command/install.py", line 67, in run
    self.do_egg_install()
  File "/usr/lib/python3/dist-packages/setuptools/command/install.py", line 109, in do_egg_install
    self.run_command('bdist_egg')
  File "/usr/lib/python3.7/distutils/cmd.py", line 313, in run_command
    self.distribution.run_command(command)
  File "/usr/lib/python3.7/distutils/dist.py", line 985, in run_command
    cmd_obj.run()
  File "/usr/lib/python3/dist-packages/setuptools/command/bdist_egg.py", line 172, in run
    cmd = self.call_command('install_lib', warn_dir=0)
  File "/usr/lib/python3/dist-packages/setuptools/command/bdist_egg.py", line 158, in call_command
    self.run_command(cmdname)
  File "/usr/lib/python3.7/distutils/cmd.py", line 313, in run_command
    self.distribution.run_command(command)
  File "/usr/lib/python3.7/distutils/dist.py", line 985, in run_command
    cmd_obj.run()
  File "/usr/lib/python3/dist-packages/setuptools/command/install_lib.py", line 24, in run
    self.build()
  File "/usr/lib/python3.7/distutils/command/install_lib.py", line 109, in build
    self.run_command('build_ext')
  File "/usr/lib/python3.7/distutils/cmd.py", line 313, in run_command
    self.distribution.run_command(command)
  File "/usr/lib/python3.7/distutils/dist.py", line 985, in run_command
    cmd_obj.run()
  File "setup.py", line 134, in run
    self.build_extension(ext)
  File "setup.py", line 174, in build_extension
    subprocess.check_call(cmake_build, cwd=build_folder)
  File "/usr/lib/python3.7/subprocess.py", line 347, in check_call
    raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['cmake', '--build', '.', '--config', 'Release', '--', '-j1']' returned non-zero exit status 2.

ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

I installed the whole libraries and i generated the (encodings.pickle), I'm using Adrian dataset

I got this error when I ran train.py

`Encoding labels...

Finding best svm estimator...
Fitting 5 folds for each of 42 candidates, totalling 210 fits
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
Traceback (most recent call last):
File "train.py", line 114, in
best_svm = find_best_svm_estimator(X_train, y_train, skf.split(X_train, y_train))
File "train.py", line 64, in find_best_svm_estimator
grid_search.fit(X, y)
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/model_selection/_search.py", li ne 722, in fit
self._run_search(evaluate_candidates)
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/model_selection/_search.py", li ne 1191, in _run_search
evaluate_candidates(ParameterGrid(self.param_grid))
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/model_selection/_search.py", li ne 711, in evaluate_candidates
cv.split(X, y, groups)))
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/externals/joblib/parallel.py", line 917, in call
if self.dispatch_one_batch(iterator):
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/externals/joblib/parallel.py", line 759, in dispatch_one_batch
self._dispatch(tasks)
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/externals/joblib/parallel.py", line 716, in _dispatch
job = self._backend.apply_async(batch, callback=cb)
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/externals/joblib/_parallel_back ends.py", line 182, in apply_async
result = ImmediateResult(func)
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/externals/joblib/_parallel_back ends.py", line 549, in init
self.results = batch()
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/externals/joblib/parallel.py", line 225, in call
for func, args, kwargs in self.items]
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/externals/joblib/parallel.py", line 225, in
for func, args, kwargs in self.items]
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/model_selection/_validation.py" , line 528, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/svm/base.py", line 149, in fit
accept_large_sparse=False)
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/utils/validation.py", line 756, in check_X_y
estimator=estimator)
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/utils/validation.py", line 573, in check_array
allow_nan=force_all_finite == 'allow-nan')
File "/home/fruits/tpu/lib/python3.7/site-packages/sklearn/utils/validation.py", line 56, in _assert_all_finite
raise ValueError(msg_err.format(type_err, X.dtype))
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').
`

my scikit-learn library version: 0.20.3
can anyone help me

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