data preparation for training

[fselka]

I want to train the model with my own dataset so I add thos elines to prepare the data for training:
`orgs = glob.glob("/home/selka/src/python/DL/UNetPlusPlus/data/image/.png")
masks = glob.glob("/home/selka/src/python/DL/UNetPlusPlus/data/label/.png")
orgs.sort()
masks.sort()

imgs_list = []
masks_list = []
for image, mask in zip(orgs, masks):
print("orgs",orgs)
print("masks",masks)
imgs_list.append(np.array(Image.open(image).convert("L").resize((512,512))))
masks_list.append(np.array(Image.open(mask).convert("L").resize((512,512))))

imgs_np = np.asarray(imgs_list)
masks_np = np.asarray(masks_list)

x = np.asarray(imgs_np, dtype=np.float32)/255
y = np.asarray(masks_np, dtype=np.float32)/255

x = x.reshape(x.shape[0], x.shape[1], x.shape[2], 1)
print(x.shape, y.shape)

y = y.reshape(y.shape[0], y.shape[1], y.shape[2], 1)
print(x.shape, y.shape)

from sklearn.model_selection import train_test_split

x_train, x_valid, y_train, y_valid = train_test_split(x, y, test_size=0.4, random_state=0)`

However I get this issue

Traceback (most recent call last):
File "unet_plus.py", line 239, in
model = Xnet(backbone_name='resnet50', encoder_weights='imagenet', decoder_block_type='transpose')
File "/home/selka/src/python/DL/UNetPlusPlus/segmentation_models/xnet/model.py", line 86, in Xnet
include_top=False)
File "/home/selka/src/python/DL/UNetPlusPlus/segmentation_models/backbones/backbones.py", line 32, in get_backbone
return backbones[name](*args, **kwargs)
File "/home/selka/src/python/DL/UNetPlusPlus/segmentation_models/backbones/classification_models/classification_models/resnet/models.py", line 39, in ResNet50
include_top=include_top)
File "/home/selka/src/python/DL/UNetPlusPlus/segmentation_models/backbones/classification_models/classification_models/resnet/builder.py", line 69, in build_resnet
x = BatchNormalization(name='bn_data', **no_scale_bn_params)(img_input)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/keras/engine/base_layer.py", line 431, in call
self.build(unpack_singleton(input_shapes))
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/keras/layers/normalization.py", line 115, in build
constraint=self.beta_constraint)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/keras/engine/base_layer.py", line 252, in add_weight
constraint=constraint)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/keras/backend/theano_backend.py", line 154, in variable
value = value.eval()
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/graph.py", line 516, in eval
self.fn_cache[inputs] = theano.function(inputs, self)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/compile/function.py", line 326, in function
output_keys=output_keys)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/compile/pfunc.py", line 486, in pfunc
output_keys=output_keys)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/compile/function_module.py", line 1795, in orig_function
defaults)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/compile/function_module.py", line 1661, in create
input_storage=input_storage_lists, storage_map=storage_map)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/link.py", line 699, in make_thunk
storage_map=storage_map)[:3]
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/vm.py", line 1047, in make_all
impl=impl))
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/op.py", line 935, in make_thunk
no_recycling)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/op.py", line 839, in make_c_thunk
output_storage=node_output_storage)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/cc.py", line 1190, in make_thunk
keep_lock=keep_lock)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/cc.py", line 1131, in compile
keep_lock=keep_lock)
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/cc.py", line 1575, in cthunk_factory
key = self.cmodule_key()
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/cc.py", line 1271, in cmodule_key
c_compiler=self.c_compiler(),
File "/home/selka/anaconda3/envs/unetplus/lib/python3.6/site-packages/theano/gof/cc.py", line 1350, in cmodule_key
np.core.multiarray._get_ndarray_c_version())
AttributeError: ('The following error happened while compiling the node', DeepCopyOp(TensorConstant{(3,) of 0.0}), '\n', "module 'numpy.core.multiarray' has no attribute '_get_ndarray_c_version'")

Thanks for helping