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 cmodulekey 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