z-mahmud22 / mask-rcnn_tf2.14.0 Goto Github PK

I have a problem like this:

in _make_train_function
updates = self.optimizer.get_updates(
AttributeError: 'SGD' object has no attribute 'get_updates'

How can I fix it?

Hello, this error appears to me when i try to train the model:
ValueError: Dimensions must be equal, but are 256 and 28 for '{{node mrcnn_mask_loss/mul}} = Mul[T=DT_FLOAT](mrcnn_mask_loss/GatherV2_1, mrcnn_mask_loss/Log)' with input shapes: [?,256,256], [?,28,28].

Your code very good but predict class wrong
It always result predicts the first class.

Example we class CLASS_NAMES = ['BG', 'A', 'B', 'C', 'D', 'E', 'F']

your code result predict is class A always Whether using images of other classes

i got this error . anyone help me in that please.

Epoch 1/10
Traceback (most recent call last):
File "/content/drive/MyDrive/Object segmentation/Testing_Mask-Rcnn/fine-tune-MaskRcnn/beagle.py", line 294, in
train(model)
File "/content/drive/MyDrive/Object segmentation/Testing_Mask-Rcnn/fine-tune-MaskRcnn/beagle.py", line 162, in train
model.train(dataset_train, dataset_val,
File "/usr/local/lib/python3.10/dist-packages/mask_rcnn_tf2-1.0-py3.10.egg/mrcnn/model.py", line 2371, in train
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_v1.py", line 856, in fit
return func.fit(
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_generator_v1.py", line 647, in fit
return fit_generator(
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_generator_v1.py", line 282, in model_iteration
batch_outs = batch_function(*batch_data)
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_v1.py", line 1180, in train_on_batch
self._make_train_function()
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_v1.py", line 2284, in _make_train_function
updates = self.optimizer.get_updates(
AttributeError: 'SGD' object has no attribute 'get_updates'.

Traceback (most recent call last):
File "/content/Mask-RCNN_TF2.14.0/samples/balloon/balloon.py", line 317, in
train(model)
File "/content/Mask-RCNN_TF2.14.0/samples/balloon/balloon.py", line 149, in train
model.train(dataset_train, dataset_val,
File "/usr/local/lib/python3.10/dist-packages/mask_rcnn_tf2-1.0-py3.10.egg/mrcnn/model.py", line 2371, in train
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_v1.py", line 856, in fit
return func.fit(
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_generator_v1.py", line 647, in fit
return fit_generator(
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_generator_v1.py", line 282, in model_iteration
batch_outs = batch_function(*batch_data)
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_v1.py", line 1180, in train_on_batch
self._make_train_function()
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training_v1.py", line 2284, in _make_train_function
updates = self.optimizer.get_updates(
AttributeError: 'SGD' object has no attribute 'get_updates'

I have changed the SGD optimizer to the legacy one, but error still presists.
optimizer = tf.keras.optimizers.legacy.SGD(lr=learning_rate, momentum=momentum, clipnorm=self.config.GRADIENT_CLIP_NORM)