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// Copyright 2016 The TensorFlow Authors. 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.
// =============================================================================
#ifndef TENSORFLOW_CONTRIB_FFMPEG_FFMPEG_LIB_H_
#define TENSORFLOW_CONTRIB_FFMPEG_FFMPEG_LIB_H_
#include <string>
#include <vector>
#include "tensorflow/core/lib/core/status.h"
namespace tensorflow {
namespace ffmpeg {
// Cleans up a file on destruction.
class FileDeleter {
public:
explicit FileDeleter(const string& filename) : filename_(filename) {}
~FileDeleter();
private:
const string filename_;
};
// Writes binary data to a file.
Status WriteFile(const string& filename, tensorflow::StringPiece contents);
// Reads an audio file using ffmpeg and converts it into an array of samples in
// [-1.0, 1.0]. If there are multiple channels in the audio then each frame will
// contain a separate sample for each channel. Frames are ordered by time.
Status ReadAudioFile(const string& filename, const string& audio_format_id,
int32 samples_per_second, int32 channel_count,
const string& stream, std::vector<float>* output_samples);
// Creates an audio file using ffmpeg in a specific format. The samples are in
// [-1.0, 1.0]. If there are multiple channels in the audio then each frame will
// contain a separate sample for each channel. Frames are ordered by time.
// Currently, the implementation only supports wav files, and ffmpeg is not used
// to create them.
Status CreateAudioFile(const string& audio_format_id, int32 bits_per_second,
int32 samples_per_second, int32 channel_count,
const std::vector<float>& samples, string* output_data);
// Reads an video file using ffmpeg and converts it into a RGB24 in uint8
// [frames, height, width, 3]. The w, h, and frames are obtained from ffmpeg.
Status ReadVideoFile(const string& filename, std::vector<uint8>* output_data,
uint32* width, uint32* height, uint32* frames);
} // namespace ffmpeg
} // namespace tensorflow
#endif // TENSORFLOW_CONTRIB_FFMPEG_DEFAULT_FFMPEG_LIB_H_
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