/* Copyright 2022 The MediaPipe Authors. 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. ==============================================================================*/ #ifndef MEDIAPIPE_TASKS_CC_METADATA_METADATA_EXTRACTOR_H_ #define MEDIAPIPE_TASKS_CC_METADATA_METADATA_EXTRACTOR_H_ #include "absl/container/flat_hash_map.h" #include "absl/status/status.h" #include "absl/status/statusor.h" #include "absl/strings/string_view.h" #include "mediapipe/tasks/metadata/metadata_schema_generated.h" #include "tensorflow/lite/schema/schema_generated.h" namespace mediapipe { namespace tasks { namespace metadata { // Extracts and provides easy access to the TFLite ModelMetadata [1] and // corresponding associated files packed into a TFLite FlatBuffer, if any. // // [1]: https://www.tensorflow.org/lite/convert/metadata class ModelMetadataExtractor { … }; } // namespace metadata } // namespace tasks } // namespace mediapipe #endif // MEDIAPIPE_TASKS_CC_METADATA_METADATA_EXTRACTOR_H_