Deploy yolov2 on tensorflow serving

TF version : 1.11.0

You can change your configuration from config.py file like labels, input name , output name etc.

Setup Darkflow

Not in the current repo

git clone https://github.com/thtrieu/darkflow.git
cd darkflow/
python3 setup.py build_ext --inplace
pip install -e .
pip install .

Step 1:

cd Yolo_deployment/
Change your wts/model config file path in config.py and run
python export_tfserving.py

Step 2 : Run TF serving in a separate terminal

sudo chmod +x ./run_tfserving.sh
bash ./run_tfserving.sh

Step 3

python start_server.py

Step4

http://localhost:8000/docs
Returns a class with max prob.

BLOG : Deploying Yolo on Tensorflow Serving

Part 1

Part 2