Steps

With Docker

Commands to be executed on camera side. curl -fsSL https://get.docker.com -o get-docker.sh sh get-docker.sh sudo docker pull tensorflow/serving sudo docker run -p 8500:8500 -p 8501:8501 --mount type=bind,source=/home/tmp/mnist/,target=/models/my_model -e MODEL_NAME=my_model -t tensorflow/serving
8500 is GRPC port and 8501 is Tensorflow serving port and communication takes place on grpc port therefore central server will make request on respective client grpc port

Commands to be executed on central server side. python client_api.py --num_tests=100 --server=camera_ip:8501 python client_rpc.py --num_tests=100 --server=camera_ip:8500
Above command will make request to given ip and will receive accuracy.
To check weather server is listening or not use following command GET http://127.0.0.1:8500/v1/models/my_model

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
MNIST_data		MNIST_data
hackathon_1/tmp/mnist/1		hackathon_1/tmp/mnist/1
client_api.py		client_api.py
client_rpc.py		client_rpc.py
mnist_input_data.py		mnist_input_data.py
mnist_saved_model.py		mnist_saved_model.py
readme.md		readme.md
run.sh		run.sh
script.sh		script.sh