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fix missing import in 27f43c17

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Robert Sachunsky 2026-02-17 18:06:08 +01:00
parent 6a4163ae56
commit 67fca82f38
1 changed files with 5 additions and 5 deletions
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10
src/eynollah/training/models.py
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@ -441,7 +441,7 @@ def cnn_rnn_ocr_model(image_height=None, image_width=None, n_classes=None, max_s
x = Conv2D(64,kernel_size=(3,3),padding="same")(x) x = Conv2D(64,kernel_size=(3,3),padding="same")(x)
x = BatchNormalization(name="bn2")(x) x = BatchNormalization(name="bn2")(x)
x = Activation("relu", name="relu2")(x) x = Activation("relu", name="relu2")(x)
x = MaxPool2D(pool_size=(1,2),strides=(1,2))(x) x = MaxPooling2D(pool_size=(1,2),strides=(1,2))(x)
x = Conv2D(128,kernel_size=(3,3),padding="same")(x) x = Conv2D(128,kernel_size=(3,3),padding="same")(x)
x = BatchNormalization(name="bn3")(x) x = BatchNormalization(name="bn3")(x)
@ -449,7 +449,7 @@ def cnn_rnn_ocr_model(image_height=None, image_width=None, n_classes=None, max_s
x = Conv2D(128,kernel_size=(3,3),padding="same")(x) x = Conv2D(128,kernel_size=(3,3),padding="same")(x)
x = BatchNormalization(name="bn4")(x) x = BatchNormalization(name="bn4")(x)
x = Activation("relu", name="relu4")(x) x = Activation("relu", name="relu4")(x)
x = MaxPool2D(pool_size=(1,2),strides=(1,2))(x) x = MaxPooling2D(pool_size=(1,2),strides=(1,2))(x)
x = Conv2D(256,kernel_size=(3,3),padding="same")(x) x = Conv2D(256,kernel_size=(3,3),padding="same")(x)
x = BatchNormalization(name="bn5")(x) x = BatchNormalization(name="bn5")(x)
@ -457,7 +457,7 @@ def cnn_rnn_ocr_model(image_height=None, image_width=None, n_classes=None, max_s
x = Conv2D(256,kernel_size=(3,3),padding="same")(x) x = Conv2D(256,kernel_size=(3,3),padding="same")(x)
x = BatchNormalization(name="bn6")(x) x = BatchNormalization(name="bn6")(x)
x = Activation("relu", name="relu6")(x) x = Activation("relu", name="relu6")(x)
x = MaxPool2D(pool_size=(2,2),strides=(2,2))(x) x = MaxPooling2D(pool_size=(2,2),strides=(2,2))(x)
x = Conv2D(image_width,kernel_size=(3,3),padding="same")(x) x = Conv2D(image_width,kernel_size=(3,3),padding="same")(x)
x = BatchNormalization(name="bn7")(x) x = BatchNormalization(name="bn7")(x)
@ -465,8 +465,8 @@ def cnn_rnn_ocr_model(image_height=None, image_width=None, n_classes=None, max_s
x = Conv2D(image_width,kernel_size=(16,1))(x) x = Conv2D(image_width,kernel_size=(16,1))(x)
x = BatchNormalization(name="bn8")(x) x = BatchNormalization(name="bn8")(x)
x = Activation("relu", name="relu8")(x) x = Activation("relu", name="relu8")(x)
x2d = MaxPool2D(pool_size=(1,2),strides=(1,2))(x) x2d = MaxPooling2D(pool_size=(1,2),strides=(1,2))(x)
x4d = MaxPool2D(pool_size=(1,2),strides=(1,2))(x2d) x4d = MaxPooling2D(pool_size=(1,2),strides=(1,2))(x2d)
new_shape = (x.shape[1]*x.shape[2], x.shape[3]) new_shape = (x.shape[1]*x.shape[2], x.shape[3])