simple object detection with tensorflow

simple object detection with tensorflow

steps:
2. installation
* pip install tensorflow
* pip install pillow
* pip install lxml
* pip install jupyter
* pip install matplotlib
* pip install pandas - done
4. activate protoc

for linux:
Download and install the 3.0 release of protoc then unzip the file.

#from tensorflow/models/research

Run the compilation process again, but use the downloaded version of protoc

#from tensorflow/models/research
./bin/protoc object_detection/protos/*.proto - - python_out=.

for mac os x:
if you have homebrew, download and install the protobuf with brew install protobuf - done

alternately, run:

sudo unzip -o $PROTOC_ZIP -d /usr/local bin/protoc
rm -f $PROTOC_ZIP

Run the compilation process again:

#from tensorflow/models/research
protoc object_detection/protos/*.proto - -python_out=.

for windows:
You can move this to something more appropriate if you like, or leave it here. Now, from within the models (or models-master) directory, you can use the protoc command like so:
"C:/Program Files/protoc/bin/protoc" object_detection/protos/*.proto --python_out=.

you can add more images to the test images path ;)

there you go, a simple object detection with tensorflow ;)

thanks for watching :)