fixes

Author: ghunkins

.DS_Store

@@ -59,6 +59,8 @@ def __data_generation(self, list_IDs_temp):
       for i, ID in enumerate(list_IDs_temp):
           # transform to log
           ref_X = standardized_X[i]
+          ref_X[:201][:] *= 50000
+          ref_X[402:603][:] *= 50000
           ref_X[ref_X == 0] = np.finfo(dtype='float16').tiny
           ref_X[:201][:] = np.log10(ref_X[:201][:])
           ref_X[402:603][:] = np.log10(ref_X[402:603][:])

Data_Processing/.DS_Store

@@ -55,9 +55,9 @@
 Train_IDs = list(filter(lambda z: (db in z), Train_IDs))[:TRAIN_LIMIT]
 Test_IDs = os.listdir(params_test['dataroot'])
 Test_IDs = list(filter(lambda z: (db in z), Test_IDs))[:TEST_LIMIT]
-np.save('Test_IDs.npy', Test_IDs)
-np.save('Train_IDs.npy', Train_IDs)
-sys.exit()
+#np.save('Test_IDs.npy', Test_IDs)
+#np.save('Train_IDs.npy', Train_IDs)
+#sys.exit()
 #Train_IDs = np.load('./train_test/train_speakers_list.npy')
 #Test_IDs = np.load('./train_test/test_speakers_list.npy')
 
@@ -88,8 +88,8 @@
 
 # set callback: https://machinelearningmastery.com/check-point-deep-learning-models-keras/
 
-filepath= db + "-log-model-improvement-{epoch:02d}-{val_acc:.2f}.hdf5"
-checkpoint = ModelCheckpoint(filepath, monitor='val_acc', verbose=1, save_best_only=True, mode='max')
+filepath = db + "-log-model-improvement-{epoch:02d}-{val_acc:.2f}.hdf5"
+checkpoint = ModelCheckpoint(filepath, monitor='val_acc', verbose=1, save_best_only=False, mode='max')
 callbacks_list = [checkpoint]
 
 # Train model on dataset