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Update imports for tensorflow 2.15 #22

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Update imports for tensorflow 2.15 #22

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24 changes: 14 additions & 10 deletions vgg16_hybrid_places_1365.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,19 +14,23 @@
import warnings

from keras import backend as K
from keras.layers import Input
from keras.layers.core import Activation, Dense, Flatten
from keras.layers.pooling import MaxPooling2D
from keras.models import Model
from keras.layers import Conv2D
from keras.regularizers import l2
from keras.layers.core import Dropout
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import Flatten
from keras.layers import GlobalAveragePooling2D
from keras.layers import GlobalMaxPooling2D
from keras_applications.imagenet_utils import _obtain_input_shape
from keras.engine.topology import get_source_inputs
from keras.utils.data_utils import get_file
from keras.utils import layer_utils
from keras.layers import Input
from keras.layers import MaxPooling2D
from keras.models import Model
from keras.preprocessing import image
from keras.regularizers import l2
from keras.src.applications.imagenet_utils import \
obtain_input_shape as _obtain_input_shape
from keras.utils import get_file
from keras.utils import get_source_inputs
import numpy as np
from tensorflow.python.keras.utils import layer_utils


WEIGHTS_PATH = 'https://github.com/GKalliatakis/Keras-VGG16-places365/releases/download/v1.0/vgg16-hybrid1365_weights_tf_dim_ordering_tf_kernels.h5'
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30 changes: 16 additions & 14 deletions vgg16_places_365.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,28 +5,30 @@
- [Places: A 10 million Image Database for Scene Recognition](http://places2.csail.mit.edu/PAMI_places.pdf)
'''

from __future__ import division, print_function
import os
from __future__ import division
from __future__ import print_function

import os
import warnings
import numpy as np

from keras import backend as K
from keras.layers import Input
from keras.layers.core import Activation, Dense, Flatten
from keras.layers.pooling import MaxPooling2D
from keras.models import Model
from keras.layers import Conv2D
from keras.regularizers import l2
from keras.layers.core import Dropout
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import Flatten
from keras.layers import GlobalAveragePooling2D
from keras.layers import GlobalMaxPooling2D
from keras_applications.imagenet_utils import _obtain_input_shape
from keras.engine.topology import get_source_inputs
from keras.utils.data_utils import get_file
from keras.utils import layer_utils
from keras.layers import Input
from keras.layers import MaxPooling2D
from keras.models import Model
from keras.preprocessing import image
from keras.applications.imagenet_utils import preprocess_input
from keras.regularizers import l2
from keras.src.applications.imagenet_utils import \
obtain_input_shape as _obtain_input_shape
from keras.utils import get_file
from keras.utils import get_source_inputs
import numpy as np
from tensorflow.python.keras.utils import layer_utils

WEIGHTS_PATH = 'https://github.com/GKalliatakis/Keras-VGG16-places365/releases/download/v1.0/vgg16-places365_weights_tf_dim_ordering_tf_kernels.h5'
WEIGHTS_PATH_NO_TOP = 'https://github.com/GKalliatakis/Keras-VGG16-places365/releases/download/v1.0/vgg16-places365_weights_tf_dim_ordering_tf_kernels_notop.h5'
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