NotImplementedError                       Traceback (most recent call last)
<ipython-input-36-138183a2a830> in <cell line: 2>()
      1 # Create model object in inference mode.
----> 2 model = modellib.MaskRCNN(mode="inference", model_dir=MODEL_DIR, config=config)
      3 
      4 # Load weights trained on MS-COCO
      5 model.load_weights(COCO_MODEL_PATH, by_name=True)

4 frames
/usr/local/lib/python3.10/dist-packages/keras/src/layers/core/lambda_layer.py in compute_output_shape(self, input_shape)
     93                 return nest.map_structure(lambda x: x.shape, output_spec)
     94             except:
---> 95                 raise NotImplementedError(
     96                     "We could not automatically infer the shape of "
     97                     "the Lambda's output. Please specify the `output_shape` "

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, 1000, 1, 1, 1024), dtype=float32, sparse=False, name=keras_tensor_9478>',)
  • kwargs={'mask': 'None'}

how do I solve this problem to run MRCNN in google colab