config.py.in

#
# Copyright 2018-2019 IBM Corp. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

# Flask settings
DEBUG = False

# Flask-restplus settings
RESTPLUS_MASK_SWAGGER = False

# Application settings

# API metadata
API_TITLE = 'MAX Object Detector'
API_DESC = 'Localize and identify multiple objects in a single image.'
API_VERSION = '1.5.0'

# default model
# name of model to download
MODEL_NAME = '@model@'
DEFAULT_MODEL_PATH = 'assets'

# Path to frozen detection graph. This is the actual model that is used for the object detection.
# Note:  This needs to be downloaded and/or compiled into pb format.
PATH_TO_CKPT = '{}/frozen_inference_graph.pb'.format(DEFAULT_MODEL_PATH)
PATH_TO_LABELS = '{}/label_map.pbtxt'.format(DEFAULT_MODEL_PATH)
NUM_CLASSES = 90

# for image models, may not be required
MODEL_INPUT_IMG_SIZE = (299, 299)
MODEL_LICENSE = 'ApacheV2'

MODEL_META_DATA = {
    'id': 'object-detector-{}'.format(MODEL_NAME.lower()),
    'name': '{} TensorFlow Object Detector Model'.format(MODEL_NAME),
    'description': '{} TensorFlow object detector model'.format(MODEL_NAME),
    'type': 'Object Detection',
    'source': 'https://developer.ibm.com/exchanges/models/all/max-object-detector/',
    'license': '{}'.format(MODEL_LICENSE)
}