text: # ==============================================================================
  # Copyright (c) Microsoft. All rights reserved.
  #
  # Licensed under the MIT license. See LICENSE.md file in the project root
  # for full license information.
  # ==============================================================================
  
  from easydict import EasyDict as edict
  
  __BASE = edict()
  cfg = __BASE
  
  # Settings used in Model.register()
  __BASE.MODEL_PATH = "MachineLearning/models/caffe_v2_fork_scissors/"
  __BASE.MODEL_NAME = "model.caffemodel"
  __BASE.MODEL_TAGS = {"Device": "peabody", "type": "caffe", "area": "iot", "version": "1.0"}
  __BASE.MODEL_DESCRIPTION = "Caffe V2 model by fork scissors dataset"
  
  # Settings used in SnpeConverter.convert_tf_model()
  __BASE.MODEL_INPUT_NODE = ""
  __BASE.MODEL_INPUT_DIMS = ""
  __BASE.MODEL_OUTPUTS_NODES = []
  
  # Settings used in Image.create())
  __BASE.IMAGE_NAME = "caffev2forkscissors"
  
  # Settings used in IotContainerImage.image_configuration()
  __BASE.IMAGE_TAGS = ["caffe"]
  __BASE.IMAGE_DESCRIPTION = "Caffe V2 model by fork scissors dataset"
  
  # Settings used in
  __BASE.MODULE_NAME = "VisionSampleCaffe_V2"
  
  # Settings used in SnpeConverter API (TensorFlow / Caffe)
  __BASE.SNPECONVERTER_TYPE = "Caffe"