I am trying to train the network with a custom dataset in DIGITs but I am getting the error "Unsupported data layer type DenseImageData".
Traceback (most recent call last):
File "digits/scheduler.py", line 512, in run_task
task.run(resources)
File "digits/task.py", line 189, in run
self.before_run()
File "digits/model/tasks/caffe_train.py", line 220, in before_run
self.save_files_generic()
File "digits/model/tasks/caffe_train.py", line 632, in save_files_generic
network = cleanedUpGenericNetwork(self.network)
File "digits/model/tasks/caffe_train.py", line 1701, in cleanedUpGenericNetwork
'Unsupported data layer type %s' % layer.type
AssertionError: Unsupported data layer type DenseImageData
I looked for it in the caffe-enet submodule and it is supposed to be registered on there in the cpp code. But it fails when I try to train the network
I am trying to train the network with a custom dataset in DIGITs but I am getting the error "Unsupported data layer type DenseImageData".
I looked for it in the caffe-enet submodule and it is supposed to be registered on there in the cpp code. But it fails when I try to train the network
Thanks in advance.