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// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// * Neither the name of ETH Zurich and UNC Chapel Hill nor the names of
// its contributors may be used to endorse or promote products derived
// from this software without specific prior written permission.
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
#ifndef COLMAP_SRC_CONTROLLERS_AUTOMATIC_RECONSTRUCTION_H_
#define COLMAP_SRC_CONTROLLERS_AUTOMATIC_RECONSTRUCTION_H_
#include <string>
#include "base/reconstruction_manager.h"
#include "util/option_manager.h"
#include "util/threading.h"
namespace colmap {
class AutomaticReconstructionController : public Thread {
public:
enum class DataType { INDIVIDUAL, VIDEO, INTERNET };
enum class Quality { LOW, MEDIUM, HIGH, EXTREME };
enum class Mesher { POISSON, DELAUNAY };
struct Options {
// The path to the workspace folder in which all results are stored.
std::string workspace_path;
// The path to the image folder which are used as input.
std::string image_path;
// The path to the mask folder which are used as input.
std::string mask_path;
// The path to the vocabulary tree for feature matching.
std::string vocab_tree_path;
// The type of input data used to choose optimal mapper settings.
DataType data_type = DataType::INDIVIDUAL;
// Whether to perform low- or high-quality reconstruction.
Quality quality = Quality::HIGH;
// Whether to use shared intrinsics or not.
bool single_camera = false;
// Which camera model to use for images.
std::string camera_model = "SIMPLE_RADIAL";
// Whether to perform sparse mapping.
bool sparse = true;
// Whether to perform dense mapping.
#ifdef CUDA_ENABLED
bool dense = true;
#else
bool dense = false;
#endif
// The meshing algorithm to be used.
Mesher mesher = Mesher::POISSON;
// The number of threads to use in all stages.
int num_threads = -1;
// Whether to use the GPU in feature extraction and matching.
bool use_gpu = true;
// Index of the GPU used for GPU stages. For multi-GPU computation,
// you should separate multiple GPU indices by comma, e.g., "0,1,2,3".
// By default, all GPUs will be used in all stages.
std::string gpu_index = "-1";
};
AutomaticReconstructionController(
const Options& options, ReconstructionManager* reconstruction_manager);
void Stop() override;
private:
void Run() override;
void RunFeatureExtraction();
void RunFeatureMatching();
void RunSparseMapper();
void RunDenseMapper();
const Options options_;
OptionManager option_manager_;
ReconstructionManager* reconstruction_manager_;
Thread* active_thread_;
std::unique_ptr<Thread> feature_extractor_;
std::unique_ptr<Thread> exhaustive_matcher_;
std::unique_ptr<Thread> sequential_matcher_;
std::unique_ptr<Thread> vocab_tree_matcher_;
};
} // namespace colmap
#endif // COLMAP_SRC_CONTROLLERS_AUTOMATIC_RECONSTRUCTION_H_
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