lambda call issue #8
Description
Traceback (most recent call last):
File "/content/MaskRCNN/custom.py", line 187, in
model = modellib.MaskRCNN(mode="training", config=config,
File "/content/MaskRCNN/mrcnn/model.py", line 1835, in init
self.keras_model = self.build(mode=mode, config=config)
File "/content/MaskRCNN/mrcnn/model.py", line 1873, in build
gt_boxes = KL.Lambda(lambda x: norm_boxes_graph(
File "/usr/local/lib/python3.10/dist-packages/keras/src/utils/traceback_utils.py", line 122, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/usr/local/lib/python3.10/dist-packages/keras/src/layers/core/lambda_layer.py", line 95, in compute_output_shape
raise NotImplementedError(
NotImplementedError: Exception encountered when calling Lambda.call().
We could not automatically infer the shape of the Lambda's output. Please specify the output_shape argument for this Lambda layer.
Arguments received by Lambda.call():
• args=('<KerasTensor shape=(None, None, 4), dtype=float32, sparse=None, name=input_gt_boxes>',)
• kwargs={'mask': 'None'}