## Training process

<img src='../../../images/split_flow.png' width = "1000" height = "440" align="middle"/>


- User send a request to server including task type, image size, etc.

- Server response a path for User where it can download the Encoder.

- User encode the images and send the processed data to DB after serialization.

- Server fetch the uploaded data and start training model.


## Start the service on Server side

```sh
 
python server/receiver.py 

```

## Start the request on User side 

```sh

python submitter.py

```

 
