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4 changes: 1 addition & 3 deletions keras_segmentation/predict.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,10 +19,8 @@


def model_from_checkpoint_path(checkpoints_path):

from .models.all_models import model_from_name
assert (os.path.isfile(checkpoints_path+"_config.json")
), "Checkpoint not found."
assert (os.path.isfile(os.path.join(checkpoints_path, "_config.json"))), "Checkpoint not found."
model_config = json.loads(
open(checkpoints_path+"_config.json", "r").read())
latest_weights = find_latest_checkpoint(checkpoints_path)
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5 changes: 3 additions & 2 deletions keras_segmentation/train.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,16 +6,16 @@
import six
from keras.callbacks import Callback
from keras.callbacks import ModelCheckpoint
import tensorflow as tf
import glob
import sys


def find_latest_checkpoint(checkpoints_path, fail_safe=True):

# This is legacy code, there should always be a "checkpoint" file in your directory

def get_epoch_number_from_path(path):
return path.replace(checkpoints_path, "").strip(".")
return os.path.basename(path).replace(".index", "").strip(".")

# Get all matching files
all_checkpoint_files = glob.glob(checkpoints_path + ".*")
Expand All @@ -41,6 +41,7 @@ def get_epoch_number_from_path(path):

return latest_epoch_checkpoint


def masked_categorical_crossentropy(gt, pr):
from keras.losses import categorical_crossentropy
mask = 1 - gt[:, :, 0]
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