File size: 5,059 Bytes
2b5a2b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 | // Copyright (c) 2022, ETH Zurich and UNC Chapel Hill.
// 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.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// 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
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
#ifndef COLMAP_SRC_MVS_WORKSPACE_H_
#define COLMAP_SRC_MVS_WORKSPACE_H_
#include "mvs/consistency_graph.h"
#include "mvs/depth_map.h"
#include "mvs/model.h"
#include "mvs/normal_map.h"
#include "util/bitmap.h"
#include "util/cache.h"
#include "util/misc.h"
namespace colmap {
namespace mvs {
class Workspace {
public:
struct Options {
// The maximum cache size in gigabytes.
double cache_size = 32.0;
// The number of threads to use when pre-loading workspace.
int num_threads = -1;
// Maximum image size in either dimension.
int max_image_size = -1;
// Whether to read image as RGB or gray scale.
bool image_as_rgb = true;
// Location and type of workspace.
std::string workspace_path;
std::string workspace_format;
std::string input_type;
std::string stereo_folder = "stereo";
};
Workspace(const Options& options);
virtual ~Workspace() = default;
// Do nothing when we use a cache. Data is loaded as needed.
virtual void Load(const std::vector<std::string>& image_names);
inline const Options& GetOptions() const { return options_; }
inline const Model& GetModel() const { return model_; }
virtual const Bitmap& GetBitmap(const int image_idx);
virtual const DepthMap& GetDepthMap(const int image_idx);
virtual const NormalMap& GetNormalMap(const int image_idx);
// Get paths to bitmap, depth map, normal map and consistency graph.
std::string GetBitmapPath(const int image_idx) const;
std::string GetDepthMapPath(const int image_idx) const;
std::string GetNormalMapPath(const int image_idx) const;
// Return whether bitmap, depth map, normal map, and consistency graph exist.
bool HasBitmap(const int image_idx) const;
bool HasDepthMap(const int image_idx) const;
bool HasNormalMap(const int image_idx) const;
protected:
std::string GetFileName(const int image_idx) const;
Options options_;
Model model_;
private:
std::string depth_map_path_;
std::string normal_map_path_;
std::vector<std::unique_ptr<Bitmap>> bitmaps_;
std::vector<std::unique_ptr<DepthMap>> depth_maps_;
std::vector<std::unique_ptr<NormalMap>> normal_maps_;
};
class CachedWorkspace : public Workspace {
public:
CachedWorkspace(const Options& options);
void Load(const std::vector<std::string>& image_names) override {}
inline void ClearCache() { cache_.Clear(); }
const Bitmap& GetBitmap(const int image_idx) override;
const DepthMap& GetDepthMap(const int image_idx) override;
const NormalMap& GetNormalMap(const int image_idx) override;
private:
class CachedImage {
public:
CachedImage() {}
CachedImage(CachedImage&& other);
CachedImage& operator=(CachedImage&& other);
inline size_t NumBytes() const { return num_bytes; }
size_t num_bytes = 0;
std::unique_ptr<Bitmap> bitmap;
std::unique_ptr<DepthMap> depth_map;
std::unique_ptr<NormalMap> normal_map;
private:
NON_COPYABLE(CachedImage)
};
MemoryConstrainedLRUCache<int, CachedImage> cache_;
};
// Import a PMVS workspace into the COLMAP workspace format. Only images in the
// provided option file name will be imported and used for reconstruction.
void ImportPMVSWorkspace(const Workspace& workspace,
const std::string& option_name);
} // namespace mvs
} // namespace colmap
#endif // COLMAP_SRC_MVS_WORKSPACE_H_
|