How to serve your tensorflow model

Make object detection model works

Prerequistes

1. Install anaconda/python
2. Install tensorflow/tensorflow-gpu
3. git clone https://github.com/tensorflow/models.git

Install dependencies

open anaconda cmd
cd tensorflow-models\research 
pip install --user Cython
Installing collected packages: Cython
  The scripts cygdb.exe, cython.exe and cythonize.exe are installed in 'C:\Users\ming\AppData\Roaming\Python\Python35\Scripts' which is not on PATH.
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed Cython-0.29.14
pip install --user Cython
pip install --user contextlib2
pip install --user pillow
pip install --user lxml
pip install --user jupyter
pip install --user matplotlib

Run protoc

cd tensorflow-models\research
protoc object_detection/protos/*.proto –python_out=.
(keras35) D:\ming\git\tensorflow-models\research>protoc .\object_detection\protos*.proto –python_out=.
.\object_detection\protos*.proto: No such file or directory
(keras35) D:\ming\git\tensorflow-models\research>protoc –version
libprotoc 3.6.1

//does not work
//protoc object_detection\protos –python_out=.
//protoc –python_out=. .\object_detection\protos*.proto
//protoc object_detection\protos*.proto –python_out=. –proto_path=.
//FOR %i IN (object_detection\protos*.proto) DO protoc object_detection\protos\%i –python_out=.

//working

for /f %i in ('dir /b object_detection\protos\*.proto') do protoc --python_out=. object_detection\protos\%i

Add path

export PYTHONPATH=$PYTHONPATH:pwd:pwd/slim

set PYTHONPATH=%PYTHONPATH%;D:\ming\git\tensorflow-models\research;D:\ming\git\tensorflow-models\research\slim
echo %PYTHONPATH%

Run test

Problems executing model builder test

python object_detection/builders/model_builder_test.py
...
  File "D:\ming\git\tensorflow-models\research\object_detection\predictors\convolutional_box_predictor.py", line 23, in <module>
    slim = tf.contrib.slim
AttributeError: module 'tensorflow' has no attribute 'contrib'

See:
https://github.com/googlecolab/colabtools/issues/602
https://github.com/tensorflow/models.git not ready for tf2 use tf1

Create environment for tensorflow 1.x

conda create -n tensorflow1 pip python=3.5
conda activate tensorflow1
python -m pip install --upgrade pip
//pip install --ignore-installed --upgrade tensorflow-gpu
pip install tensorflow-gpu==1.15

cd models\research 
pip install --user Cython
pip install --user contextlib2
pip install --user pillow
pip install --user lxml
pip install --user jupyter
pip install --user matplotlib

Run test for tensorflow 1.x

python object_detection/builders/model_builder_test.py
...
----------------------------------------------------------------------
Ran 17 tests in 0.168s

OK (skipped=1)

todo train model

todo evaluate model

troubleshooting

File “C:\Users\ming\Anaconda3\envs\tensorflow1\lib\site-packages\object_detection\models\faster_rcnn_inception_resnet_v2_feature_extractor.py”, line 28, in from nets import inception_resnet_v2 ModuleNotFoundError: No module named 'nets' set PYTHONPATH=D:\ming\git\models;D:\ming\git\models\research;D:\ming\git\models\research\slim