Steps followed
git clone https://github.com/tensorflow/models.git
cd models/research
which python
and
which python3
to get the python
or
ll /usr/bin/python*
sudo gedit ~/.profile
PYTHONPATH=”/usr/bin/python:/usr/bin/python3″
ctrl+s
ctrl+c
source ~/.profile
cd ../../
wget https://github.com/google/protobuf/releases/download/v3.3.0/protoc-3.3.0-linux-x86_64.zip
unzip protoc-3.3.0-linux-x86_64.zip -d protoc-3.3.0 cd models/research/ ../../protoc-3.3.0/bin/protoc object_detection/protos/*.proto --python_out=.
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim:`pwd`/object_detectionor
sudo gedit ~/.profile
PYTHONPATH=”/usr/bin/python:/usr/bin/python3:/home/m1035364/Downloads/pikachooTensor/models/research:/home/m1035364/Downloads/pikachooTensor/models/research/slim:/home/m1035364/Downloads/pikachooTensor/models/research/object_detection”
ctrl+s
ctrl+c
source ~/.profile
python3 object_detection/builders/model_builder_test.py
………………
———————————————————————-
Ran 18 tests in 0.097s
OK
On sucessfull installation output will be as above
New guideline from begining
https://docs.python-guide.org/dev/virtualenvs/
follow to setup python for the project specfic. or use pycharm from here
Install and create a project in the pycharm by clicking file and new Project
projectname=hellow_tensor
Location=/home/naval/PycharmProjects/projectname
new environment using select Virtualenv
location=/home/naval/.virtualenvs/PycharmProject/projectname
baseInterpreter: Python3.6 /usr/bin/python3.6 –your wish you can choose any version i have latested
open terminal in pycharm type cmd
ll
—-output will be
drwxrwxr-x 3 m1035364 m1035364 4096 Sep 15 11:31 ./
drwxrwxr-x 3 m1035364 m1035364 4096 Sep 15 11:26 ../
drwxrwxr-x 2 m1035364 m1035364 4096 Sep 15 11:59 .idea/
Now check whether you have virtual env or not type cmd
virtualenv –version
–output in my case if blank follow the guideline of this link
16.0 .0
to have a basic setup virtualenv for the project type cmd
virtualenv hello_tensor
—output will be
Using base prefix ‘/usr’
New python executable in /home/naval/PycharmProjects/hello_tensor/hello_tensor/bin/python3
Also creating executable in /home/naval/PycharmProjects/hello_tensor/hello_tensor/bin/python
Installing setuptools, pip, wheel…done.
source hello_tensor/bin/activate
pip list
–output will be like this
Package Version
———- ——-
pip 10.0.1
setuptools 39.1.0
wheel 0.31.1
its optional to have basic requiremt of libs type cmd
pip install requests
–output
it will download the below packages and install for you
Installing collected packages: idna, chardet, urllib3, certifi, requests
you can check it ,type cmd
pip list
–output
Package Version
———- ———
certifi 2018.8.24
chardet 3.0.4
idna 2.7
pip 10.0.1
requests 2.19.1
setuptools 39.1.0
urllib3 1.23
wheel 0.31.1
Install all python requirements for our project
Create a requirements.txt file in the project and add the python dependencies in it.
numpy scipy tensorflow==1.10.0 tensorflow-gpu keras ipython jupyter six protobuf==3.1.0 wheel
tensorflow-gpu is optional
keep this file in projectname folder of your and type the cmd
pycharm will prompt to install it click on ok or just type the cmd
pip install -r requirements.txt
output will be something like this
Collecting numpy (from -r requirements.txt (line 1))
Downloading https://files.pythonhosted.org/packages/26/c5/ed8379c03040146c807b472563df29134505c72e6980a253310368fc1877/numpy-1.15.1-cp34-cp34m-manylinux1_x86_64.whl (13.8MB)
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Downloading https://files.pythonhosted.org/packages/56/b5/1a47572236785278db0c8a1e7bb4040eebb63b78fbb470b6f5efc357ffcf/scipy-1.1.0-cp34-cp34m-manylinux1_x86_64.whl (31.1MB)
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Collecting tensorflow==1.10.0 (from -r requirements.txt (line 3))
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Collecting tensorflow-gpu (from -r requirements.txt (line 4))
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Downloading https://files.pythonhosted.org/packages/b8/0f/b2a2c5fbba035f4ced24c26a192d3357367947f20fb063ba6090aeaef0ef/protobuf-3.3.0-cp34-cp34m-manylinux1_x86_64.whl (5.7MB)
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Requirement already satisfied: wheel in ./hello_tensor/lib/python3.4/site-packages (from -r requirements.txt (line 10)) (0.31.1)
Collecting grpcio>=1.8.6 (from tensorflow==1.10.0->-r requirements.txt (line 3))
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Requirement already satisfied: setuptools<=39.1.0 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow==1.10.0->-r requirements.txt (line 3)) (39.1.0)
Collecting termcolor>=1.1.0 (from tensorflow==1.10.0->-r requirements.txt (line 3))
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Collecting pyyaml (from keras->-r requirements.txt (line 5))
Downloading https://files.pythonhosted.org/packages/9e/a3/1d13970c3f36777c583f136c136f804d70f500168edc1edea6daa7200769/PyYAML-3.13.tar.gz (270kB)
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Downloading https://files.pythonhosted.org/packages/e3/9f/c66d3a3ccae72f7fdf4f4a1f9cb5e8ef438a86925f597d2f8c9838c86834/h5py-2.8.0-cp34-cp34m-manylinux1_x86_64.whl (2.8MB)
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Downloading https://files.pythonhosted.org/packages/bc/bb/a24838832ba35baf52f32ab1a49b906b5f82fb7c76b2f6a7e35e140bac30/decorator-4.3.0-py2.py3-none-any.whl
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Using cached https://files.pythonhosted.org/packages/02/ee/b6e02dc6529e82b75bb06823ff7d005b141037cb1416b10c6f00fc419dca/Pygments-2.2.0-py2.py3-none-any.whl
Collecting traitlets>=4.2 (from ipython->-r requirements.txt (line 6))
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Collecting werkzeug>=0.11.10 (from tensorboard<1.11.0,>=1.10.0->tensorflow==1.10.0->-r requirements.txt (line 3))
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Collecting markdown>=2.6.8 (from tensorboard<1.11.0,>=1.10.0->tensorflow==1.10.0->-r requirements.txt (line 3))
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Collecting wcwidth (from prompt-toolkit<2.0.0,>=1.0.15->ipython->-r requirements.txt (line 6))
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Collecting parso>=0.3.0 (from jedi>=0.10->ipython->-r requirements.txt (line 6))
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Collecting ptyprocess>=0.5 (from pexpect; sys_platform != “win32”->ipython->-r requirements.txt (line 6))
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Collecting ipython-genutils (from traitlets>=4.2->ipython->-r requirements.txt (line 6))
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Building wheels for collected packages: pyyaml, tornado
Running setup.py bdist_wheel for pyyaml … done
Stored in directory: /home/m1035364/.cache/pip/wheels/ad/da/0c/74eb680767247273e2cf2723482cb9c924fe70af57c334513f
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Successfully built pyyaml tornado
tensorflow 1.10.0 has requirement numpy<=1.14.5,>=1.13.3, but you’ll have numpy 1.15.1 which is incompatible.
tensorflow 1.10.0 has requirement protobuf>=3.6.0, but you’ll have protobuf 3.3.0 which is incompatible.
tensorflow-gpu 1.10.1 has requirement numpy<=1.14.5,>=1.13.3, but you’ll have numpy 1.15.1 which is incompatible.
tensorflow-gpu 1.10.1 has requirement protobuf>=3.6.0, but you’ll have protobuf 3.3.0 which is incompatible.
tensorboard 1.10.0 has requirement protobuf>=3.4.0, but you’ll have protobuf 3.3.0 which is incompatible.
Installing collected packages: numpy, scipy, six, grpcio, absl-py, astor, werkzeug, protobuf, markdown, tensorboard, termcolor, gast, tensorflow, tensorflow-gpu, pyyaml, h5py, keras-applications, keras-preprocessing, keras, wcwidth, prompt-toolkit, parso, jedi, ptyprocess, pexpect, backcall, simplegeneric, typing, pickleshare, decorator, pygments, ipython-genutils, traitlets, ipython, backports-abc, tornado, jupyter-core, python-dateutil, pyzmq, jupyter-client, ipykernel, qtconsole, jupyter-console, Send2Trash, prometheus-client, jsonschema, nbformat, terminado, MarkupSafe, jinja2, mistune, pandocfilters, entrypoints, testpath, webencodings, html5lib, bleach, defusedxml, nbconvert, notebook, widgetsnbextension, ipywidgets, jupyter
Successfully installed MarkupSafe-1.0 Send2Trash-1.5.0 absl-py-0.4.1 astor-0.7.1 backcall-0.1.0 backports-abc-0.5 bleach-2.1.4 decorator-4.3.0 defusedxml-0.5.0 entrypoints-0.2.3 gast-0.2.0 grpcio-1.15.0 h5py-2.8.0 html5lib-1.0.1 ipykernel-4.9.0 ipython-6.5.0 ipython-genutils-0.2.0 ipywidgets-7.4.2 jedi-0.12.1 jinja2-2.10 jsonschema-2.6.0 jupyter-1.0.0 jupyter-client-5.2.3 jupyter-console-5.2.0 jupyter-core-4.4.0 keras-2.2.2 keras-applications-1.0.4 keras-preprocessing-1.0.2 markdown-2.6.11 mistune-0.8.3 nbconvert-5.4.0 nbformat-4.4.0 notebook-5.6.0 numpy-1.15.1 pandocfilters-1.4.2 parso-0.3.1 pexpect-4.6.0 pickleshare-0.7.4 prometheus-client-0.3.1 prompt-toolkit-1.0.15 protobuf-3.3.0 ptyprocess-0.6.0 pygments-2.2.0 python-dateutil-2.7.3 pyyaml-3.13 pyzmq-17.1.2 qtconsole-4.4.1 scipy-1.1.0 simplegeneric-0.8.1 six-1.11.0 tensorboard-1.10.0 tensorflow-1.10.0 tensorflow-gpu-1.10.1 termcolor-1.1.0 terminado-0.8.1 testpath-0.3.1 tornado-5.1 traitlets-4.3.2 typing-3.6.6 wcwidth-0.1.7 webencodings-0.5.1 werkzeug-0.14.1 widgetsnbextension-3.4.2
pip list
output like this
Package Version
——————- ———
absl-py 0.4.1
astor 0.7.1
backcall 0.1.0
backports-abc 0.5
bleach 2.1.4
certifi 2018.8.24
chardet 3.0.4
decorator 4.3.0
defusedxml 0.5.0
entrypoints 0.2.3
gast 0.2.0
grpcio 1.15.0
h5py 2.8.0
html5lib 1.0.1
idna 2.7
ipykernel 4.9.0
ipython 6.5.0
ipython-genutils 0.2.0
ipywidgets 7.4.2
jedi 0.12.1
Jinja2 2.10
jsonschema 2.6.0
jupyter 1.0.0
jupyter-client 5.2.3
jupyter-console 5.2.0
jupyter-core 4.4.0
Keras 2.2.2
Keras-Applications 1.0.4
Keras-Preprocessing 1.0.2
Markdown 2.6.11
MarkupSafe 1.0
mistune 0.8.3
nbconvert 5.4.0
nbformat 4.4.0
notebook 5.6.0
numpy 1.15.1
pandocfilters 1.4.2
parso 0.3.1
pexpect 4.6.0
pickleshare 0.7.4
pip 10.0.1
prometheus-client 0.3.1
prompt-toolkit 1.0.15
protobuf 3.3.0
ptyprocess 0.6.0
Pygments 2.2.0
python-dateutil 2.7.3
PyYAML 3.13
pyzmq 17.1.2
qtconsole 4.4.1
requests 2.19.1
scipy 1.1.0
Send2Trash 1.5.0
setuptools 39.1.0
simplegeneric 0.8.1
six 1.11.0
tensorboard 1.10.0
tensorflow 1.10.0
tensorflow-gpu 1.10.1
termcolor 1.1.0
terminado 0.8.1
testpath 0.3.1
tornado 5.1
traitlets 4.3.2
typing 3.6.6
urllib3 1.23
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.14.1
wheel 0.31.1
widgetsnbextension 3.4.2
for the latest version of tensorflow you need to update it type cmd
pip install –upgrade tensorflow
–output
Collecting tensorflow
Using cached https://files.pythonhosted.org/packages/69/90/357f5f0e7da99bc314f84f01922d95f3d52b008ec3f70558886b14639820/tensorflow-1.10.1-cp34-cp34m-manylinux1_x86_64.whl
Requirement not upgraded as not directly required: termcolor>=1.1.0 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (1.1.0)
Requirement not upgraded as not directly required: absl-py>=0.1.6 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (0.4.1)
Requirement not upgraded as not directly required: setuptools<=39.1.0 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (39.1.0)
Requirement not upgraded as not directly required: wheel>=0.26 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (0.31.1)
Requirement not upgraded as not directly required: grpcio>=1.8.6 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (1.15.0)
Collecting numpy<=1.14.5,>=1.13.3 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/6a/69/24b5d5c2466df479ed42f970a61eb570f57d8a20bd79e44ec39ee37ded12/numpy-1.14.5-cp34-cp34m-manylinux1_x86_64.whl
Requirement not upgraded as not directly required: six>=1.10.0 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (1.11.0)
Requirement not upgraded as not directly required: gast>=0.2.0 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (0.2.0)
Requirement not upgraded as not directly required: tensorboard<1.11.0,>=1.10.0 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (1.10.0)
Collecting protobuf>=3.6.0 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/61/52/463bac997cee19c74e1aa9153e4aef1af26737f90c91837c13efa0225c25/protobuf-3.6.1-cp34-cp34m-manylinux1_x86_64.whl
Requirement not upgraded as not directly required: astor>=0.6.0 in ./hello_tensor/lib/python3.4/site-packages (from tensorflow) (0.7.1)
Requirement not upgraded as not directly required: werkzeug>=0.11.10 in ./hello_tensor/lib/python3.4/site-packages (from tensorboard<1.11.0,>=1.10.0->tensorflow) (0.14.1)
Requirement not upgraded as not directly required: markdown>=2.6.8 in ./hello_tensor/lib/python3.4/site-packages (from tensorboard<1.11.0,>=1.10.0->tensorflow) (2.6.11)
Installing collected packages: numpy, protobuf, tensorflow
Found existing installation: numpy 1.15.1
Uninstalling numpy-1.15.1:
Successfully uninstalled numpy-1.15.1
Found existing installation: protobuf 3.3.0
Uninstalling protobuf-3.3.0:
Successfully uninstalled protobuf-3.3.0
Found existing installation: tensorflow 1.10.0
Uninstalling tensorflow-1.10.0:
Successfully uninstalled tensorflow-1.10.0
Successfully installed numpy-1.14.5 protobuf-3.6.1 tensorflow-1.10.1
Go to File in pycharm and click on Invalidate and restart same option in dialog you select and wait for pycharm to start again. you are ready to test tensor flow
use the old project virtual env for new project just activate it so type cmd
source ~/PycharmProjects/hello_tensor/hello_tensor/bin/activate
to remove it type cmd
deactivate
jupyter notebook
Way You See Way The Thing You Get 