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Update README.md: how to train model using docker image

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@ -25,6 +25,18 @@ each class will be defined with a RGB value and beside images, a text file of cl
### Train ### Train
To train a model, run: ``python train.py with config_params.json`` To train a model, run: ``python train.py with config_params.json``
### Train using Docker
#### Build the Docker image
```bash
docker build -t model-training .
```
#### Run Docker image
```bash
docker run --gpus all -v /host/path/to/entry_point_dir:/entry_point_dir model-training
```
### Ground truth format ### Ground truth format
Lables for each pixel are identified by a number. So if you have a Lables for each pixel are identified by a number. So if you have a
binary case, ``n_classes`` should be set to ``2`` and labels should binary case, ``n_classes`` should be set to ``2`` and labels should