xenia-canary/third_party/crunch/crnlib/crn_comp.h

182 lines
6.6 KiB
C++

// File: crn_comp.h
// See Copyright Notice and license at the end of inc/crnlib.h
#pragma once
#define CRND_HEADER_FILE_ONLY
#include "../inc/crn_decomp.h"
#undef CRND_HEADER_FILE_ONLY
#include "../inc/crnlib.h"
#include "crn_symbol_codec.h"
#include "crn_dxt_hc.h"
#include "crn_image.h"
#include "crn_image_utils.h"
#include "crn_texture_comp.h"
namespace crnlib
{
class crn_comp : public itexture_comp
{
CRNLIB_NO_COPY_OR_ASSIGNMENT_OP(crn_comp);
public:
crn_comp();
virtual ~crn_comp();
virtual const char *get_ext() const { return "CRN"; }
virtual bool compress_init(const crn_comp_params& params);
virtual bool compress_pass(const crn_comp_params& params, float *pEffective_bitrate);
virtual void compress_deinit();
virtual const crnlib::vector<uint8>& get_comp_data() const { return m_comp_data; }
virtual crnlib::vector<uint8>& get_comp_data() { return m_comp_data; }
uint get_comp_data_size() const { return m_comp_data.size(); }
const uint8* get_comp_data_ptr() const { return m_comp_data.size() ? &m_comp_data[0] : NULL; }
private:
task_pool m_task_pool;
const crn_comp_params* m_pParams;
image_u8 m_images[cCRNMaxFaces][cCRNMaxLevels];
struct level_tag
{
uint m_width, m_height;
uint m_chunk_width, m_chunk_height;
uint m_group_index;
uint m_num_chunks;
uint m_first_chunk;
uint m_group_first_chunk;
} m_levels[cCRNMaxLevels];
struct mip_group
{
mip_group() : m_first_chunk(0), m_num_chunks(0) { }
uint m_first_chunk;
uint m_num_chunks;
};
crnlib::vector<mip_group> m_mip_groups;
enum comp
{
cColor,
cAlpha0,
cAlpha1,
cNumComps
};
bool m_has_comp[cNumComps];
struct chunk_detail
{
chunk_detail() { utils::zero_object(*this); }
uint m_first_endpoint_index;
uint m_first_selector_index;
};
typedef crnlib::vector<chunk_detail> chunk_detail_vec;
chunk_detail_vec m_chunk_details;
crnlib::vector<uint> m_endpoint_indices[cNumComps];
crnlib::vector<uint> m_selector_indices[cNumComps];
uint m_total_chunks;
dxt_hc::pixel_chunk_vec m_chunks;
crnd::crn_header m_crn_header;
crnlib::vector<uint8> m_comp_data;
dxt_hc m_hvq;
symbol_histogram m_chunk_encoding_hist;
static_huffman_data_model m_chunk_encoding_dm;
symbol_histogram m_endpoint_index_hist[2];
static_huffman_data_model m_endpoint_index_dm[2]; // color, alpha
symbol_histogram m_selector_index_hist[2];
static_huffman_data_model m_selector_index_dm[2]; // color, alpha
crnlib::vector<uint8> m_packed_chunks[cCRNMaxLevels];
crnlib::vector<uint8> m_packed_data_models;
crnlib::vector<uint8> m_packed_color_endpoints;
crnlib::vector<uint8> m_packed_color_selectors;
crnlib::vector<uint8> m_packed_alpha_endpoints;
crnlib::vector<uint8> m_packed_alpha_selectors;
void clear();
void append_chunks(const image_u8& img, uint num_chunks_x, uint num_chunks_y, dxt_hc::pixel_chunk_vec& chunks, float weight);
static float color_endpoint_similarity_func(uint index_a, uint index_b, void* pContext);
static float alpha_endpoint_similarity_func(uint index_a, uint index_b, void* pContext);
void sort_color_endpoint_codebook(crnlib::vector<uint>& remapping, const crnlib::vector<uint>& endpoints);
void sort_alpha_endpoint_codebook(crnlib::vector<uint>& remapping, const crnlib::vector<uint>& endpoints);
bool pack_color_endpoints(crnlib::vector<uint8>& data, const crnlib::vector<uint>& remapping, const crnlib::vector<uint>& endpoint_indices, uint trial_index);
bool pack_alpha_endpoints(crnlib::vector<uint8>& data, const crnlib::vector<uint>& remapping, const crnlib::vector<uint>& endpoint_indices, uint trial_index);
static float color_selector_similarity_func(uint index_a, uint index_b, void* pContext);
static float alpha_selector_similarity_func(uint index_a, uint index_b, void* pContext);
void sort_selector_codebook(crnlib::vector<uint>& remapping, const crnlib::vector<dxt_hc::selectors>& selectors, const uint8* pTo_linear);
bool pack_selectors(
crnlib::vector<uint8>& packed_data,
const crnlib::vector<uint>& selector_indices,
const crnlib::vector<dxt_hc::selectors>& selectors,
const crnlib::vector<uint>& remapping,
uint max_selector_value,
const uint8* pTo_linear,
uint trial_index);
bool alias_images();
void create_chunks();
bool quantize_chunks();
void create_chunk_indices();
bool pack_chunks(
uint first_chunk, uint num_chunks,
bool clear_histograms,
symbol_codec* pCodec,
const crnlib::vector<uint>* pColor_endpoint_remap,
const crnlib::vector<uint>* pColor_selector_remap,
const crnlib::vector<uint>* pAlpha_endpoint_remap,
const crnlib::vector<uint>* pAlpha_selector_remap);
bool pack_chunks_simulation(
uint first_chunk, uint num_chunks,
uint& total_bits,
const crnlib::vector<uint>* pColor_endpoint_remap,
const crnlib::vector<uint>* pColor_selector_remap,
const crnlib::vector<uint>* pAlpha_endpoint_remap,
const crnlib::vector<uint>* pAlpha_selector_remap);
void optimize_color_endpoint_codebook_task(uint64 data, void* pData_ptr);
bool optimize_color_endpoint_codebook(crnlib::vector<uint>& remapping);
void optimize_color_selector_codebook_task(uint64 data, void* pData_ptr);
bool optimize_color_selector_codebook(crnlib::vector<uint>& remapping);
void optimize_alpha_endpoint_codebook_task(uint64 data, void* pData_ptr);
bool optimize_alpha_endpoint_codebook(crnlib::vector<uint>& remapping);
void optimize_alpha_selector_codebook_task(uint64 data, void* pData_ptr);
bool optimize_alpha_selector_codebook(crnlib::vector<uint>& remapping);
bool create_comp_data();
bool pack_data_models();
bool update_progress(uint phase_index, uint subphase_index, uint subphase_total);
bool compress_internal();
static void append_vec(crnlib::vector<uint8>& a, const void* p, uint size);
static void append_vec(crnlib::vector<uint8>& a, const crnlib::vector<uint8>& b);
};
} // namespace crnlib