Open aggarwalstuti opened 6 months ago
After entering the following code: metrics=['accuracy', jacard_coef]
def get_model(): return multi_unet_model(n_classes=n_classes, IMG_HEIGHT=IMG_HEIGHT, IMG_WIDTH=IMG_WIDTH, IMG_CHANNELS=IMG_CHANNELS)
model = get_model() model.compile(optimizer='adam', loss=total_loss, metrics=metrics)
model.summary()
history1 = model.fit(X_train, y_train, batch_size = 16, verbose=1, epochs=100, validation_data=(X_test, y_test), shuffle=False)
AttributeError Traceback (most recent call last) in <cell line: 12>() 10 11 ---> 12 history1 = model.fit(X_train, y_train, 13 batch_size = 16, 14 verbose=1,
3 frames /usr/local/lib/python3.10/dist-packages/segmentation_models/base/functional.py in f_score(gt, pr, beta, class_weights, class_indexes, smooth, per_image, threshold, *kwargs) 143 144 # calculate score --> 145 tp = backend.sum(gt pr, axis=axes) 146 fp = backend.sum(pr, axis=axes) - tp 147 fn = backend.sum(gt, axis=axes) - tp
AttributeError: module 'keras.backend' has no attribute 'sum'
I am using keras Version: 3.0.2 and for tensorflow Version: 2.15.0.post1
You need to use keras version 2 and an older version of segmentation mask 3d library that supports keras 2.
After entering the following code: metrics=['accuracy', jacard_coef]
def get_model(): return multi_unet_model(n_classes=n_classes, IMG_HEIGHT=IMG_HEIGHT, IMG_WIDTH=IMG_WIDTH, IMG_CHANNELS=IMG_CHANNELS)
model = get_model() model.compile(optimizer='adam', loss=total_loss, metrics=metrics)
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=metrics)
model.summary()
history1 = model.fit(X_train, y_train, batch_size = 16, verbose=1, epochs=100, validation_data=(X_test, y_test), shuffle=False)
I am encountering the following error: Total params: 1,941,190 (7.41 MB) Trainable params: 1,941,190 (7.41 MB) Non-trainable params: 0 (0.00 B) Epoch 1/100
AttributeError Traceback (most recent call last) in <cell line: 12>()
10
11
---> 12 history1 = model.fit(X_train, y_train,
13 batch_size = 16,
14 verbose=1,
3 frames /usr/local/lib/python3.10/dist-packages/segmentation_models/base/functional.py in f_score(gt, pr, beta, class_weights, class_indexes, smooth, per_image, threshold, *kwargs) 143 144 # calculate score --> 145 tp = backend.sum(gt pr, axis=axes) 146 fp = backend.sum(pr, axis=axes) - tp 147 fn = backend.sum(gt, axis=axes) - tp
AttributeError: module 'keras.backend' has no attribute 'sum'
I am using keras Version: 3.0.2 and for tensorflow Version: 2.15.0.post1