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bc7enc.cpp
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// bc7enc.cpp - SIMD BC7 encoding command line example/test app
// This example demonstrates how to use the SIMD optimized non-RDO BC7 encoder.
#define _CRT_SECURE_NO_WARNINGS
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <stdint.h>
#include <math.h>
#include <algorithm>
#include <assert.h>
#include <time.h>
#include "lodepng.h"
#include "dds_defs.h"
#include "bc7decomp.h"
#include "bc7e_ispc.h"
template <typename T> inline T clamp(T v, T l, T h) { if (v < l) v = l; else if (v > h) v = h; return v; }
inline int iabs(int i) { if (i < 0) i = -i; return i; }
static int print_usage()
{
fprintf(stderr, "bc7enc - Basis SIMD BC7 encoding example program\n");
fprintf(stderr, "Reads PNG files (with or without alpha channels) and packs them to BC7/BPTC.\n");
fprintf(stderr, "By default, a DX10 DDS file and a unpacked PNG file will be written to the source file's directory with the .dds/_unpacked.png/_unpacked_alpha.png suffixes.\n\n");
fprintf(stderr, "Usage: bc7enc [-apng_filename] [-l] [-uX] [-aX] [-g] [-y] input_filename.png [compressed_output.dds] [unpacked_output.png]\n");
fprintf(stderr, "-apng_filename Load G channel of PNG file into alpha channel of source image\n");
fprintf(stderr, "-l Use linear colorspace metrics instead of perceptual\n");
fprintf(stderr, "-uX Quality level. X ranges from [0,6], higher=slower, default is 3\n");
fprintf(stderr, "-g Don't write an unpacked output PNG file\n");
fprintf(stderr, "-y Flip source image along Y axis before packing\n");
fprintf(stderr, "-o Write output files in same directory as source files\n");
return EXIT_FAILURE;
}
struct color_quad_u8
{
uint8_t m_c[4];
inline color_quad_u8(uint8_t r, uint8_t g, uint8_t b, uint8_t a)
{
set(r, g, b, a);
}
inline color_quad_u8(uint8_t y = 0, uint8_t a = 255)
{
set(y, a);
}
inline color_quad_u8 &set(uint8_t y, uint8_t a = 255)
{
m_c[0] = y;
m_c[1] = y;
m_c[2] = y;
m_c[3] = a;
return *this;
}
inline color_quad_u8 &set(uint8_t r, uint8_t g, uint8_t b, uint8_t a)
{
m_c[0] = r;
m_c[1] = g;
m_c[2] = b;
m_c[3] = a;
return *this;
}
inline uint8_t &operator[] (uint32_t i) { assert(i < 4); return m_c[i]; }
inline uint8_t operator[] (uint32_t i) const { assert(i < 4); return m_c[i]; }
inline int get_luma() const { return (13938U * m_c[0] + 46869U * m_c[1] + 4729U * m_c[2] + 32768U) >> 16U; } // REC709 weightings
};
typedef std::vector<color_quad_u8> color_quad_u8_vec;
class image_u8
{
public:
image_u8() :
m_width(0), m_height(0)
{
}
image_u8(uint32_t width, uint32_t height) :
m_width(width), m_height(height)
{
m_pixels.resize(width * height);
}
inline const color_quad_u8_vec &get_pixels() const { return m_pixels; }
inline color_quad_u8_vec &get_pixels() { return m_pixels; }
inline uint32_t width() const { return m_width; }
inline uint32_t height() const { return m_height; }
inline uint32_t total_pixels() const { return m_width * m_height; }
inline color_quad_u8 &operator()(uint32_t x, uint32_t y) { assert(x < m_width && y < m_height); return m_pixels[x + m_width * y]; }
inline const color_quad_u8 &operator()(uint32_t x, uint32_t y) const { assert(x < m_width && y < m_height); return m_pixels[x + m_width * y]; }
image_u8& clear()
{
m_width = m_height = 0;
m_pixels.clear();
return *this;
}
image_u8& init(uint32_t width, uint32_t height)
{
clear();
m_width = width;
m_height = height;
m_pixels.resize(width * height);
return *this;
}
image_u8& set_all(const color_quad_u8 &p)
{
for (uint32_t i = 0; i < m_pixels.size(); i++)
m_pixels[i] = p;
return *this;
}
image_u8& crop(uint32_t new_width, uint32_t new_height)
{
if ((m_width == new_width) && (m_height == new_height))
return *this;
image_u8 new_image(new_width, new_height);
const uint32_t w = std::min(m_width, new_width);
const uint32_t h = std::min(m_height, new_height);
for (uint32_t y = 0; y < h; y++)
for (uint32_t x = 0; x < w; x++)
new_image(x, y) = (*this)(x, y);
return swap(new_image);
}
image_u8 &swap(image_u8 &other)
{
std::swap(m_width, other.m_width);
std::swap(m_height, other.m_height);
std::swap(m_pixels, other.m_pixels);
return *this;
}
inline void get_block(uint32_t bx, uint32_t by, uint32_t width, uint32_t height, color_quad_u8 *pPixels)
{
assert((bx * width + width) <= m_width);
assert((by * height + height) <= m_height);
for (uint32_t y = 0; y < height; y++)
memcpy(pPixels + y * width, &(*this)(bx * width, by * height + y), width * sizeof(color_quad_u8));
}
inline void set_block(uint32_t bx, uint32_t by, uint32_t width, uint32_t height, const color_quad_u8 *pPixels)
{
assert((bx * width + width) <= m_width);
assert((by * height + height) <= m_height);
for (uint32_t y = 0; y < height; y++)
memcpy(&(*this)(bx * width, by * height + y), pPixels + y * width, width * sizeof(color_quad_u8));
}
image_u8 &swizzle(uint32_t r, uint32_t g, uint32_t b, uint32_t a)
{
assert((r | g | b | a) <= 3);
for (uint32_t y = 0; y < m_height; y++)
{
for (uint32_t x = 0; x < m_width; x++)
{
color_quad_u8 tmp((*this)(x, y));
(*this)(x, y).set(tmp[r], tmp[g], tmp[b], tmp[a]);
}
}
return *this;
}
private:
color_quad_u8_vec m_pixels;
uint32_t m_width, m_height;
};
static bool load_png(const char *pFilename, image_u8 &img)
{
img.clear();
std::vector<unsigned char> pixels;
unsigned int w = 0, h = 0;
unsigned int e = lodepng::decode(pixels, w, h, pFilename);
if (e != 0)
{
fprintf(stderr, "Failed loading PNG file %s\n", pFilename);
return false;
}
img.init(w, h);
memcpy(&img.get_pixels()[0], &pixels[0], w * h * sizeof(uint32_t));
return true;
}
static bool save_png(const char *pFilename, const image_u8 &img, bool save_alpha)
{
const uint32_t w = img.width();
const uint32_t h = img.height();
std::vector<unsigned char> pixels;
if (save_alpha)
{
pixels.resize(w * h * sizeof(color_quad_u8));
memcpy(&pixels[0], &img.get_pixels()[0], w * h * sizeof(color_quad_u8));
}
else
{
pixels.resize(w * h * 3);
unsigned char *pDst = &pixels[0];
for (uint32_t y = 0; y < h; y++)
for (uint32_t x = 0; x < w; x++, pDst += 3)
pDst[0] = img(x, y)[0], pDst[1] = img(x, y)[1], pDst[2] = img(x, y)[2];
}
return lodepng::encode(pFilename, pixels, w, h, save_alpha ? LCT_RGBA : LCT_RGB) == 0;
}
class image_metrics
{
public:
double m_max, m_mean, m_mean_squared, m_root_mean_squared, m_peak_snr;
image_metrics()
{
clear();
}
void clear()
{
memset(this, 0, sizeof(*this));
}
void compute(const image_u8 &a, const image_u8 &b, uint32_t first_channel, uint32_t num_channels)
{
const bool average_component_error = true;
const uint32_t width = std::min(a.width(), b.width());
const uint32_t height = std::min(a.height(), b.height());
assert((first_channel < 4U) && (first_channel + num_channels <= 4U));
// Histogram approach originally due to Charles Bloom.
double hist[256];
memset(hist, 0, sizeof(hist));
for (uint32_t y = 0; y < height; y++)
{
for (uint32_t x = 0; x < width; x++)
{
const color_quad_u8 &ca = a(x, y);
const color_quad_u8 &cb = b(x, y);
if (!num_channels)
hist[iabs(ca.get_luma() - cb.get_luma())]++;
else
{
for (uint32_t c = 0; c < num_channels; c++)
hist[iabs(ca[first_channel + c] - cb[first_channel + c])]++;
}
}
}
m_max = 0;
double sum = 0.0f, sum2 = 0.0f;
for (uint32_t i = 0; i < 256; i++)
{
if (!hist[i])
continue;
m_max = std::max<double>(m_max, i);
double x = i * hist[i];
sum += x;
sum2 += i * x;
}
// See http://richg42.blogspot.com/2016/09/how-to-compute-psnr-from-old-berkeley.html
double total_values = width * height;
if (average_component_error)
total_values *= clamp<uint32_t>(num_channels, 1, 4);
m_mean = clamp<double>(sum / total_values, 0.0f, 255.0f);
m_mean_squared = clamp<double>(sum2 / total_values, 0.0f, 255.0f * 255.0f);
m_root_mean_squared = sqrt(m_mean_squared);
if (!m_root_mean_squared)
m_peak_snr = 1e+10f;
else
m_peak_snr = clamp<double>(log10(255.0f / m_root_mean_squared) * 20.0f, 0.0f, 500.0f);
}
};
struct bc7_block
{
uint64_t m_vals[2];
};
typedef std::vector<bc7_block> bc7_block_vec;
static bool save_bc7_dds(const char *pFilename, uint32_t width, uint32_t height, const bc7_block *pBlocks, bool srgb)
{
(void)srgb;
FILE *pFile = NULL;
pFile = fopen(pFilename, "wb");
if (!pFile)
{
fprintf(stderr, "Failed creating file %s!\n", pFilename);
return false;
}
fwrite("DDS ", 4, 1, pFile);
DDSURFACEDESC2 desc;
memset(&desc, 0, sizeof(desc));
desc.dwSize = sizeof(desc);
desc.dwFlags = DDSD_WIDTH | DDSD_HEIGHT | DDSD_PIXELFORMAT | DDSD_CAPS;
desc.dwWidth = width;
desc.dwHeight = height;
desc.ddsCaps.dwCaps = DDSCAPS_TEXTURE;
desc.ddpfPixelFormat.dwSize = sizeof(desc.ddpfPixelFormat);
desc.ddpfPixelFormat.dwFlags |= DDPF_FOURCC;
desc.ddpfPixelFormat.dwFourCC = (uint32_t)PIXEL_FMT_FOURCC('D', 'X', '1', '0');
desc.ddpfPixelFormat.dwRGBBitCount = 0;
const uint32_t pixel_format_bpp = 8;
desc.lPitch = (((desc.dwWidth + 3) & ~3) * ((desc.dwHeight + 3) & ~3) * pixel_format_bpp) >> 3;
desc.dwFlags |= DDSD_LINEARSIZE;
fwrite(&desc, sizeof(desc), 1, pFile);
DDS_HEADER_DXT10 hdr10;
memset(&hdr10, 0, sizeof(hdr10));
// Not all tools support DXGI_FORMAT_BC7_UNORM_SRGB (like NVTT), but ddsview in DirectXTex pays attention to it. So not sure what to do here.
// For best compatibility just write DXGI_FORMAT_BC7_UNORM.
//hdr10.dxgiFormat = srgb ? DXGI_FORMAT_BC7_UNORM_SRGB : DXGI_FORMAT_BC7_UNORM;
hdr10.dxgiFormat = DXGI_FORMAT_BC7_UNORM;
hdr10.resourceDimension = D3D10_RESOURCE_DIMENSION_TEXTURE2D;
hdr10.arraySize = 1;
fwrite(&hdr10, sizeof(hdr10), 1, pFile);
fwrite(pBlocks, desc.lPitch, 1, pFile);
if (fclose(pFile) == EOF)
{
fprintf(stderr, "Failed writing to DDS file %s!\n", pFilename);
return false;
}
return true;
}
static void strip_extension(std::string &s)
{
for (int32_t i = (int32_t)s.size() - 1; i >= 0; i--)
{
if (s[i] == '.')
{
s.resize(i);
break;
}
}
}
static void strip_path(std::string& s)
{
for (int32_t i = (int32_t)s.size() - 1; i >= 0; i--)
{
if ((s[i] == '/') || (s[i] == ':') || (s[i] == '\\'))
{
s.erase(0, i + 1);
break;
}
}
}
int main(int argc, char *argv[])
{
if (argc < 2)
return print_usage();
std::string src_filename;
std::string src_alpha_filename;
std::string dds_output_filename;
std::string png_output_filename;
std::string png_alpha_output_filename;
int uber_level = 3;
bool perceptual = true;
bool no_output_png = false;
bool out_same_dir = false;
bool y_flip = false;
for (int i = 1; i < argc; i++)
{
const char *pArg = argv[i];
if (pArg[0] == '-')
{
switch (pArg[1])
{
case 'y':
{
y_flip = true;
break;
}
case 'a':
{
src_alpha_filename = pArg + 2;
break;
}
case 'u':
{
uber_level = atoi(pArg + 2);
if ((uber_level < 0) || (uber_level > 6))
{
fprintf(stderr, "Invalid argument: %s\n", pArg);
return EXIT_FAILURE;
}
break;
}
case 'g':
{
no_output_png = true;
break;
}
case 'l':
{
perceptual = false;
break;
}
case 'o':
{
out_same_dir = true;
break;
}
default:
{
fprintf(stderr, "Invalid argument: %s\n", pArg);
return EXIT_FAILURE;
}
}
}
else
{
if (!src_filename.size())
src_filename = pArg;
else if (!dds_output_filename.size())
dds_output_filename = pArg;
else if (!png_output_filename.size())
png_output_filename = pArg;
else
{
fprintf(stderr, "Invalid argument: %s\n", pArg);
return EXIT_FAILURE;
}
}
}
if (!src_filename.size())
{
fprintf(stderr, "No source filename specified!\n");
return EXIT_FAILURE;
}
if (!dds_output_filename.size())
{
dds_output_filename = src_filename;
strip_extension(dds_output_filename);
if (out_same_dir)
strip_path(dds_output_filename);
dds_output_filename += ".dds";
}
if (!png_output_filename.size())
{
png_output_filename = src_filename;
strip_extension(png_output_filename);
if (out_same_dir)
strip_path(png_output_filename);
png_output_filename += "_unpacked.png";
}
png_alpha_output_filename = png_output_filename;
strip_extension(png_alpha_output_filename);
png_alpha_output_filename += "_alpha.png";
image_u8 source_image;
if (!load_png(src_filename.c_str(), source_image))
return EXIT_FAILURE;
printf("Source image: %s %ux%u\n", src_filename.c_str(), source_image.width(), source_image.height());
if (src_alpha_filename.size())
{
image_u8 source_alpha_image;
if (!load_png(src_alpha_filename.c_str(), source_alpha_image))
return EXIT_FAILURE;
printf("Source alpha image: %s %ux%u\n", src_alpha_filename.c_str(), source_alpha_image.width(), source_alpha_image.height());
const uint32_t w = std::min(source_alpha_image.width(), source_image.width());
const uint32_t h = std::min(source_alpha_image.height(), source_image.height());
for (uint32_t y = 0; y < h; y++)
for (uint32_t x = 0; x < w; x++)
source_image(x, y)[3] = source_alpha_image(x, y)[1];
}
const uint32_t orig_width = source_image.width();
const uint32_t orig_height = source_image.height();
if (y_flip)
{
image_u8 temp;
temp.init(orig_width, orig_height);
for (uint32_t y = 0; y < orig_height; y++)
for (uint32_t x = 0; x < orig_width; x++)
temp(x, (orig_height - 1) - y) = source_image(x, y);
temp.swap(source_image);
}
source_image.crop((source_image.width() + 3) & ~3, (source_image.height() + 3) & ~3);
const uint32_t blocks_x = source_image.width() / 4;
const uint32_t blocks_y = source_image.height() / 4;
bc7_block_vec packed_image(blocks_x * blocks_y);
// Initialize the BC7 compressor (only need to call once).
// If you don't call this function (say by accident), the compressor will always return all-0 blocks.
ispc::bc7e_compress_block_init();
// Now initialize the BC7 compressor's parameters.
ispc::bc7e_compress_block_params pack_params;
memset(&pack_params, 0, sizeof(pack_params));
switch (uber_level)
{
case 0:
ispc::bc7e_compress_block_params_init_ultrafast(&pack_params, perceptual);
break;
case 1:
ispc::bc7e_compress_block_params_init_veryfast(&pack_params, perceptual);
break;
case 2:
ispc::bc7e_compress_block_params_init_fast(&pack_params, perceptual);
break;
case 3:
ispc::bc7e_compress_block_params_init_basic(&pack_params, perceptual);
break;
case 4:
ispc::bc7e_compress_block_params_init_slow(&pack_params, perceptual);
break;
case 5:
ispc::bc7e_compress_block_params_init_veryslow(&pack_params, perceptual);
break;
case 6:
default:
ispc::bc7e_compress_block_params_init_slowest(&pack_params, perceptual);
break;
}
printf("Level: %u, Perceptual: %u\n", uber_level, perceptual);
bool has_alpha = false;
clock_t start_t = clock();
// Compress the texture
#pragma omp parallel for
for (int32_t by = 0; by < static_cast<int32_t>(blocks_y); by++)
{
// Process 64 blocks at a time, for efficient SIMD processing.
// Ideally, N >= 8 (or more) and (N % 8) == 0.
const int N = 64;
for (uint32_t bx = 0; bx < blocks_x; bx += N)
{
const uint32_t num_blocks_to_process = std::min<uint32_t>(blocks_x - bx, N);
color_quad_u8 pixels[16 * N];
// Extract num_blocks_to_process 4x4 pixel blocks from the source image and put them into the pixels[] array.
for (uint32_t b = 0; b < num_blocks_to_process; b++)
source_image.get_block(bx + b, by, 4, 4, pixels + b * 16);
// Compress the blocks to BC7.
// Note: If you've used Intel's ispc_texcomp, the input pixels are different. BC7E requires a pointer to an array of 16 pixels for each block.
bc7_block *pBlock = &packed_image[bx + by * blocks_x];
ispc::bc7e_compress_blocks(num_blocks_to_process, reinterpret_cast<uint64_t *>(pBlock), reinterpret_cast<const uint32_t *>(pixels), &pack_params);
}
if ((by & 63) == 0)
printf(".");
}
clock_t end_t = clock();
printf("\nTotal time: %f secs\n", (double)(end_t - start_t) / CLOCKS_PER_SEC);
if (has_alpha)
printf("Source image had an alpha channel.\n");
bool failed = false;
if (!save_bc7_dds(dds_output_filename.c_str(), orig_width, orig_height, &packed_image[0], perceptual))
failed = true;
else
printf("Wrote DDS file %s\n", dds_output_filename.c_str());
if ((!no_output_png) && (png_output_filename.size()))
{
image_u8 unpacked_image(source_image.width(), source_image.height());
for (uint32_t by = 0; by < blocks_y; by++)
{
for (uint32_t bx = 0; bx < blocks_x; bx++)
{
bc7_block *pBlock = &packed_image[bx + by * blocks_x];
color_quad_u8 unpacked_pixels[16];
detexDecompressBlockBPTC((const uint8_t *)pBlock, UINT32_MAX, 0, (uint8_t *)unpacked_pixels);
unpacked_image.set_block(bx, by, 4, 4, unpacked_pixels);
}
}
image_metrics y_metrics;
y_metrics.compute(source_image, unpacked_image, 0, 0);
printf("Luma Max error: %3.0f RMSE: %f PSNR %03.02f dB\n", y_metrics.m_max, y_metrics.m_root_mean_squared, y_metrics.m_peak_snr);
image_metrics rgb_metrics;
rgb_metrics.compute(source_image, unpacked_image, 0, 3);
printf("RGB Max error: %3.0f RMSE: %f PSNR %03.02f dB\n", rgb_metrics.m_max, rgb_metrics.m_root_mean_squared, rgb_metrics.m_peak_snr);
image_metrics rgba_metrics;
rgba_metrics.compute(source_image, unpacked_image, 0, 4);
printf("RGBA Max error: %3.0f RMSE: %f PSNR %03.02f dB\n", rgba_metrics.m_max, rgba_metrics.m_root_mean_squared, rgba_metrics.m_peak_snr);
image_metrics a_metrics;
a_metrics.compute(source_image, unpacked_image, 3, 1);
printf("Alpha Max error: %3.0f RMSE: %f PSNR %03.02f dB\n", a_metrics.m_max, a_metrics.m_root_mean_squared, a_metrics.m_peak_snr);
if (!save_png(png_output_filename.c_str(), unpacked_image, false))
failed = true;
else
printf("Wrote PNG file %s\n", png_output_filename.c_str());
//if ((png_alpha_output_filename.size()) && (has_alpha))
if (png_alpha_output_filename.size())
{
image_u8 unpacked_image_alpha(unpacked_image);
for (uint32_t y = 0; y < unpacked_image_alpha.height(); y++)
for (uint32_t x = 0; x < unpacked_image_alpha.width(); x++)
unpacked_image_alpha(x, y).set(unpacked_image_alpha(x, y)[3], 255);
if (!save_png(png_alpha_output_filename.c_str(), unpacked_image_alpha, false))
failed = true;
else
printf("Wrote PNG file %s\n", png_alpha_output_filename.c_str());
}
}
return failed ? EXIT_FAILURE : EXIT_SUCCESS;
}