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fix: Left last batch out of training #25

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fix: Left last batch out of training #25

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10 changes: 4 additions & 6 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,12 +25,10 @@
from keras.layers.advanced_activations import LeakyReLU
from keras.models import Model
from math import sqrt, ceil
from tqdm import tqdm_notebook as tqdm
import cv2
from sklearn.utils import shuffle
from tqdm import tqdm
import tifffile as tif
from model import msrf
from model import *
from tensorflow.keras.callbacks import *
import skimage.io
Expand Down Expand Up @@ -90,7 +88,7 @@

def train(epochs, batch_size,output_dir, model_save_dir):

batch_count = int(len(train_x) / batch_size)
batch_count = ceil(len(train_x) / batch_size)
max_val_dice= -1
G = msrf()
G.summary()
Expand All @@ -99,7 +97,7 @@ def train(epochs, batch_size,output_dir, model_save_dir):
for e in range(1, epochs+1):
print ('-'*15, 'Epoch %d' % e, '-'*15,batch_size)
#sp startpoint
for sp in range(0,batch_count,1):
for sp in tqdm(range(0,batch_count,1), desc="Batches"):
if (sp+1)*batch_size>len(train_x):
batch_end = len(train_x)
else:
Expand All @@ -108,14 +106,14 @@ def train(epochs, batch_size,output_dir, model_save_dir):
Y_batch_list = train_y[(sp*batch_size):batch_end]
X_tot = [get_image(sample_file,256,256) for sample_file in X_batch_list]
X_batch,edge_x = [],[]
for i in range(0,batch_size):
for i in range(len(X_batch_list)):
X_batch.append(X_tot[i][0])
edge_x.append(X_tot[i][1])
X_batch = np.array(X_batch).astype(np.float32)
edge_x = np.array(edge_x).astype(np.float32)
Y_tot = [get_image(sample_file,256,256, gray=True) for sample_file in Y_batch_list]
Y_batch,edge_y = [],[]
for i in range(0,batch_size):
for i in range(len(X_batch_list)):
Y_batch.append(Y_tot[i][0])
edge_y.append(Y_tot[i][1])
Y_batch = np.array(Y_batch).astype(np.float32)
Expand Down