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dlr: default LOSS, EPOCHS, and PREDICT_COUNT to better values
Ref recent experiments
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1 changed files with 3 additions and 3 deletions
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@ -40,14 +40,14 @@ PATH_HEIGHTMAP = os.environ["PATH_HEIGHTMAP"]
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PATH_COLOURMAP = os.environ["PATH_COLOURMAP"]
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STEPS_PER_EPOCH = int(os.environ["STEPS_PER_EPOCH"]) if "STEPS_PER_EPOCH" in os.environ else None
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REMOVE_ISOLATED_PIXELS = False if "NO_REMOVE_ISOLATED_PIXELS" in os.environ else True
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EPOCHS = int(os.environ["EPOCHS"]) if "EPOCHS" in os.environ else 25
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LOSS = os.environ["LOSS"] if "LOSS" in os.environ else "cross-entropy"
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EPOCHS = int(os.environ["EPOCHS"]) if "EPOCHS" in os.environ else 50
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LOSS = os.environ["LOSS"] if "LOSS" in os.environ else "cross-entropy-dice"
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LEARNING_RATE = float(os.environ["LEARNING_RATE"]) if "LEARNING_RATE" in os.environ else 0.001
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DIR_OUTPUT=os.environ["DIR_OUTPUT"] if "DIR_OUTPUT" in os.environ else f"output/{datetime.utcnow().date().isoformat()}_deeplabv3plus_rainfall_TEST"
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PATH_CHECKPOINT = os.environ["PATH_CHECKPOINT"] if "PATH_CHECKPOINT" in os.environ else None
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PREDICT_COUNT = int(os.environ["PREDICT_COUNT"]) if "PREDICT_COUNT" in os.environ else 4
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PREDICT_COUNT = int(os.environ["PREDICT_COUNT"]) if "PREDICT_COUNT" in os.environ else 25
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# ~~~
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