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Description
When I attempt train an FasterRCNN network I get the follow error if the batch size is not specified.
TypeError: Expected int32 passed to parameter 'y' of op 'Mul', got 0.25 of type 'float' instead. Error: Expected int32, but got 0.25 of type 'float'.
Expected Behavior:
The network should begin training.
Steps To Reproduce:
import keras_cv, keras, numpy
if __name__=="__main__":
backbone = keras_cv.models.ResNet50V2Backbone(input_shape=(64, 64, 3))
model = keras_cv.models.FasterRCNN( backbone, 1, "xyxy", num_max_decoder_detections=128)
model.compile(
box_loss="Huber",
rpn_classification_loss = keras.losses.BinaryCrossentropy(from_logits=True),
rpn_box_loss = "Huber",
optimizer=keras.optimizers.Adam(learning_rate=1e-6),
classification_loss=keras.losses.BinaryCrossentropy(from_logits=True),
)
images = numpy.random.random( (8, 64, 64, 3) )
boxes = numpy.random.random( (8, 8, 4) )
classes = numpy.random.random( (8, 8) )
model.fit(images, {"boxes":boxes, "classes" : classes})
Work around:
Specify the batch_size
when calling fit and the program runs fine.
Version:
keras-cv-nightly==0.10.0.dev2024100303