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Psarpei committed Feb 7, 2021
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Expand Up @@ -102,9 +102,27 @@ with the following parameters
* ```--save_cycle``` save model, loss, validation every save_cycle epochs, ```default=5```
* ```--weight_decay``` weight_decay for stochastic gradient descent, ```default= 4e5```

example execution:
example execution with 41.000 input/target images:

python3 test_parse.py --input=data/training --target=data/target --content=output --train_tensor_size=2000 --val_tensor_size=1000 --num_train_tensors=20 model_weights=model.pt

configuration from example execution:

* ```input_path data/training```
* ```target_path data/target```
* ```content_path output```
* ```batch_size 2000```
* ```train_tensor_size=20```
* ```val_tensor_size=1000```
* ```num_train_tensors=20```
* ```model_weights=model.pt```
* ```load_model=True```
* ```learn_rate=0.0001```
* ```momentum=0.9```
* ```weight_decay=400000.0```
* ```total_epochs=50```
* ```save_cycle=5```

## Results ##
<img align="center" width="1000" height="" src="Result%20images/Segmentation%20images/Segmentation%205.jpg">
<img align="center" width="1000" height="" src="Result%20images/Segmentation%20images/Segmentation%204.png">
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