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# Copyright 2019 Google LLC
#
# 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
#
# https://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.
"""Python wrapper for ImprintingEngine."""
import edgetpu.swig.edgetpu_cpp_wrapper
class ImprintingEngine(edgetpu.swig.edgetpu_cpp_wrapper.ImprintingEngine):
"""Python wrapper for Imprinting Engine."""
def TrainAll(self, input_data):
"""Trains model given input of all categories.
Args:
input_data: {string : list of numpy.array}, map between new
category's label and training data.
Returns:
map between output id and label {int, string}.
"""
ret = {}
for category, tensors in input_data.items():
ret[self.Train(tensors)] = category
return ret