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/*
* Copyright 2011-2018 Blender Foundation
*
* 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 __DENOISING_H__
#define __DENOISING_H__
#include "device/device.h"
#include "device/device_denoising.h"
#include "render/buffers.h"
#include "util/util_string.h"
#include "util/util_unique_ptr.h"
#include "util/util_vector.h"
#include <OpenImageIO/imageio.h>
OIIO_NAMESPACE_USING
CCL_NAMESPACE_BEGIN
/* Denoiser */
class Denoiser {
public:
Denoiser(DeviceInfo &device_info);
~Denoiser();
bool run();
/* Error message after running, in case of failure. */
string error;
/* Sequential list of frame filepaths to denoise. */
vector<string> input;
/* Sequential list of frame filepaths to write result to. Empty entries
* are skipped, so only a subset of the sequence can be denoised while
* taking into account all input frames. */
vector<string> output;
/* Sample number override, takes precedence over values from input frames. */
int samples_override;
/* Tile size for processing on device. */
int2 tile_size;
/* Equivalent to the settings in the regular denoiser. */
DenoiseParams params;
protected:
friend class DenoiseTask;
Stats stats;
Profiler profiler;
Device *device;
int num_frames;
};
/* Denoise Image Layer */
struct DenoiseImageLayer {
string name;
/* All channels belonging to this DenoiseImageLayer. */
vector<string> channels;
/* Layer to image channel mapping. */
vector<int> layer_to_image_channel;
/* Sample amount that was used for rendering this layer. */
int samples;
/* Device input channel will be copied from image channel input_to_image_channel[i]. */
vector<int> input_to_image_channel;
/* input_to_image_channel of the secondary frames, if any are used. */
vector<vector<int>> neighbor_input_to_image_channel;
/* Write i-th channel of the processing output to output_to_image_channel[i]-th channel of the
* file. */
vector<int> output_to_image_channel;
/* Detect whether this layer contains a full set of channels and set up the offsets accordingly.
*/
bool detect_denoising_channels();
/* Map the channels of a secondary frame to the channels that are required for processing,
* fill neighbor_input_to_image_channel if all are present or return false if a channel are
* missing. */
bool match_channels(int neighbor,
const std::vector<string> &channelnames,
const std::vector<string> &neighbor_channelnames);
};
/* Denoise Image Data */
class DenoiseImage {
public:
DenoiseImage();
~DenoiseImage();
/* Dimensions */
int width, height, num_channels;
/* Samples */
int samples;
/* Pixel buffer with interleaved channels. */
array<float> pixels;
/* Image file handles */
ImageSpec in_spec;
vector<unique_ptr<ImageInput>> in_neighbors;
/* Render layers */
vector<DenoiseImageLayer> layers;
void free();
/* Open the input image, parse its channels, open the output image and allocate the output
* buffer. */
bool load(const string &in_filepath, string &error);
/* Load neighboring frames. */
bool load_neighbors(const vector<string> &filepaths, const vector<int> &frames, string &error);
/* Load subset of pixels from file buffer into input buffer, as needed for denoising
* on the device. Channels are reshuffled following the provided mapping. */
void read_pixels(const DenoiseImageLayer &layer, float *input_pixels);
bool read_neighbor_pixels(int neighbor, const DenoiseImageLayer &layer, float *input_pixels);
bool save_output(const string &out_filepath, string &error);
protected:
/* Parse input file channels, separate them into DenoiseImageLayers,
* detect DenoiseImageLayers with full channel sets,
* fill layers and set up the output channels and passthrough map. */
bool parse_channels(const ImageSpec &in_spec, string &error);
void close_input();
};
/* Denoise Task */
class DenoiseTask {
public:
DenoiseTask(Device *device, Denoiser *denoiser, int frame, const vector<int> &neighbor_frames);
~DenoiseTask();
/* Task stages */
bool load();
bool exec();
bool save();
void free();
string error;
protected:
/* Denoiser parameters and device */
Denoiser *denoiser;
Device *device;
/* Frame number to be denoised */
int frame;
vector<int> neighbor_frames;
/* Image file data */
DenoiseImage image;
int current_layer;
/* Device input buffer */
device_vector<float> input_pixels;
/* Tiles */
thread_mutex tiles_mutex;
list<RenderTile> tiles;
int num_tiles;
thread_mutex output_mutex;
map<int, device_vector<float> *> output_pixels;
/* Task handling */
bool load_input_pixels(int layer);
void create_task(DeviceTask &task);
/* Device task callbacks */
bool acquire_tile(Device *device, Device *tile_device, RenderTile &tile);
void map_neighboring_tiles(RenderTile *tiles, Device *tile_device);
void unmap_neighboring_tiles(RenderTile *tiles);
void release_tile();
bool get_cancel();
};
CCL_NAMESPACE_END
#endif /* __DENOISING_H__ */
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