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dlr: default LOSS, EPOCHS, and PREDICT_COUNT to better values

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Starbeamrainbowlabs 2023-03-03 20:17:08 +00:00
parent b435cc54dd
commit 06f956dc07
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
1 changed files with 3 additions and 3 deletions
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6
aimodel/src/deeplabv3_plus_test_rainfall.py
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@ -40,14 +40,14 @@ PATH_HEIGHTMAP = os.environ["PATH_HEIGHTMAP"]
PATH_COLOURMAP = os.environ["PATH_COLOURMAP"] PATH_COLOURMAP = os.environ["PATH_COLOURMAP"]
STEPS_PER_EPOCH = int(os.environ["STEPS_PER_EPOCH"]) if "STEPS_PER_EPOCH" in os.environ else None STEPS_PER_EPOCH = int(os.environ["STEPS_PER_EPOCH"]) if "STEPS_PER_EPOCH" in os.environ else None
REMOVE_ISOLATED_PIXELS = False if "NO_REMOVE_ISOLATED_PIXELS" in os.environ else True REMOVE_ISOLATED_PIXELS = False if "NO_REMOVE_ISOLATED_PIXELS" in os.environ else True
EPOCHS = int(os.environ["EPOCHS"]) if "EPOCHS" in os.environ else 25 EPOCHS = int(os.environ["EPOCHS"]) if "EPOCHS" in os.environ else 50
LOSS = os.environ["LOSS"] if "LOSS" in os.environ else "cross-entropy" LOSS = os.environ["LOSS"] if "LOSS" in os.environ else "cross-entropy-dice"
LEARNING_RATE = float(os.environ["LEARNING_RATE"]) if "LEARNING_RATE" in os.environ else 0.001 LEARNING_RATE = float(os.environ["LEARNING_RATE"]) if "LEARNING_RATE" in os.environ else 0.001
DIR_OUTPUT=os.environ["DIR_OUTPUT"] if "DIR_OUTPUT" in os.environ else f"output/{datetime.utcnow().date().isoformat()}_deeplabv3plus_rainfall_TEST" DIR_OUTPUT=os.environ["DIR_OUTPUT"] if "DIR_OUTPUT" in os.environ else f"output/{datetime.utcnow().date().isoformat()}_deeplabv3plus_rainfall_TEST"
PATH_CHECKPOINT = os.environ["PATH_CHECKPOINT"] if "PATH_CHECKPOINT" in os.environ else None PATH_CHECKPOINT = os.environ["PATH_CHECKPOINT"] if "PATH_CHECKPOINT" in os.environ else None
PREDICT_COUNT = int(os.environ["PREDICT_COUNT"]) if "PREDICT_COUNT" in os.environ else 4 PREDICT_COUNT = int(os.environ["PREDICT_COUNT"]) if "PREDICT_COUNT" in os.environ else 25
# ~~~ # ~~~