I have been using the SDK for sometime now. Everything is working fine. But now as the tool supports Tensorflow only in the advanced mode (jupyter notbooks) I want to use it, and access a dataset that I uploaded and used several times with Caffe and the GUI. So far I can't find the right way to do that. I found another post in this forum that explains how to access the lmdb files (the format in which the image dataset is stored) from caffe notebooks, but the same approach doesn't work with tensorflow. Also that approach will allow me to access the dataset file, but file. It will not be easy to use this for training.
uuid = "4f316909-3ab5-4bca-bdec-f5976509e0e2" lmdb_file = "/workspace/dlsdk/jobs/caffe/datasets/%s/train.txt_LMDB" % uuid lmdb_env = lmdb.open(lmdb_file) lmdb_txn = lmdb_env.begin() lmdb_cursor = lmdb_txn.cursor() datum = caffe_pb2.Datum()
In summary I want to train a network using a dataset that I uploaded using the GUI from a tensorflow notebook. Is there a method that will allow me to do that.