diff options
author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
---|---|---|
committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 00:47:55 +0000 |
commit | 26a029d407be480d791972afb5975cf62c9360a6 (patch) | |
tree | f435a8308119effd964b339f76abb83a57c29483 /third_party/jpeg-xl/lib/jpegli/test_utils.cc | |
parent | Initial commit. (diff) | |
download | firefox-26a029d407be480d791972afb5975cf62c9360a6.tar.xz firefox-26a029d407be480d791972afb5975cf62c9360a6.zip |
Adding upstream version 124.0.1.upstream/124.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/jpeg-xl/lib/jpegli/test_utils.cc')
-rw-r--r-- | third_party/jpeg-xl/lib/jpegli/test_utils.cc | 787 |
1 files changed, 787 insertions, 0 deletions
diff --git a/third_party/jpeg-xl/lib/jpegli/test_utils.cc b/third_party/jpeg-xl/lib/jpegli/test_utils.cc new file mode 100644 index 0000000000..232b937496 --- /dev/null +++ b/third_party/jpeg-xl/lib/jpegli/test_utils.cc @@ -0,0 +1,787 @@ +// Copyright (c) the JPEG XL Project Authors. All rights reserved. +// +// Use of this source code is governed by a BSD-style +// license that can be found in the LICENSE file. + +#include "lib/jpegli/test_utils.h" + +#include <cmath> +#include <cstdint> +#include <fstream> + +#include "lib/jpegli/decode.h" +#include "lib/jpegli/encode.h" +#include "lib/jxl/base/byte_order.h" +#include "lib/jxl/base/printf_macros.h" +#include "lib/jxl/base/status.h" +#include "lib/jxl/sanitizers.h" + +#if !defined(TEST_DATA_PATH) +#include "tools/cpp/runfiles/runfiles.h" +#endif + +namespace jpegli { + +#define JPEG_API_FN(name) jpegli_##name +#include "lib/jpegli/test_utils-inl.h" +#undef JPEG_API_FN + +#if defined(TEST_DATA_PATH) +std::string GetTestDataPath(const std::string& filename) { + return std::string(TEST_DATA_PATH "/") + filename; +} +#else +using bazel::tools::cpp::runfiles::Runfiles; +const std::unique_ptr<Runfiles> kRunfiles(Runfiles::Create("")); +std::string GetTestDataPath(const std::string& filename) { + std::string root(JPEGXL_ROOT_PACKAGE "/testdata/"); + return kRunfiles->Rlocation(root + filename); +} +#endif + +std::vector<uint8_t> ReadTestData(const std::string& filename) { + std::string full_path = GetTestDataPath(filename); + fprintf(stderr, "ReadTestData %s\n", full_path.c_str()); + std::ifstream file(full_path, std::ios::binary); + std::vector<char> str((std::istreambuf_iterator<char>(file)), + std::istreambuf_iterator<char>()); + JXL_CHECK(file.good()); + const uint8_t* raw = reinterpret_cast<const uint8_t*>(str.data()); + std::vector<uint8_t> data(raw, raw + str.size()); + printf("Test data %s is %d bytes long.\n", filename.c_str(), + static_cast<int>(data.size())); + return data; +} + +void CustomQuantTable::Generate() { + basic_table.resize(DCTSIZE2); + quantval.resize(DCTSIZE2); + switch (table_type) { + case 0: { + for (int k = 0; k < DCTSIZE2; ++k) { + basic_table[k] = k + 1; + } + break; + } + default: + for (int k = 0; k < DCTSIZE2; ++k) { + basic_table[k] = table_type; + } + } + for (int k = 0; k < DCTSIZE2; ++k) { + quantval[k] = (basic_table[k] * scale_factor + 50U) / 100U; + quantval[k] = std::max(quantval[k], 1U); + quantval[k] = std::min(quantval[k], 65535U); + if (!add_raw) { + quantval[k] = std::min(quantval[k], force_baseline ? 255U : 32767U); + } + } +} + +bool PNMParser::ParseHeader(const uint8_t** pos, size_t* xsize, size_t* ysize, + size_t* num_channels, size_t* bitdepth) { + if (pos_[0] != 'P' || (pos_[1] != '5' && pos_[1] != '6')) { + fprintf(stderr, "Invalid PNM header."); + return false; + } + *num_channels = (pos_[1] == '5' ? 1 : 3); + pos_ += 2; + + size_t maxval; + if (!SkipWhitespace() || !ParseUnsigned(xsize) || !SkipWhitespace() || + !ParseUnsigned(ysize) || !SkipWhitespace() || !ParseUnsigned(&maxval) || + !SkipWhitespace()) { + return false; + } + if (maxval == 0 || maxval >= 65536) { + fprintf(stderr, "Invalid maxval value.\n"); + return false; + } + bool found_bitdepth = false; + for (int bits = 1; bits <= 16; ++bits) { + if (maxval == (1u << bits) - 1) { + *bitdepth = bits; + found_bitdepth = true; + break; + } + } + if (!found_bitdepth) { + fprintf(stderr, "Invalid maxval value.\n"); + return false; + } + + *pos = pos_; + return true; +} + +bool PNMParser::ParseUnsigned(size_t* number) { + if (pos_ == end_ || *pos_ < '0' || *pos_ > '9') { + fprintf(stderr, "Expected unsigned number.\n"); + return false; + } + *number = 0; + while (pos_ < end_ && *pos_ >= '0' && *pos_ <= '9') { + *number *= 10; + *number += *pos_ - '0'; + ++pos_; + } + + return true; +} + +bool PNMParser::SkipWhitespace() { + if (pos_ == end_ || !IsWhitespace(*pos_)) { + fprintf(stderr, "Expected whitespace.\n"); + return false; + } + while (pos_ < end_ && IsWhitespace(*pos_)) { + ++pos_; + } + return true; +} + +bool ReadPNM(const std::vector<uint8_t>& data, size_t* xsize, size_t* ysize, + size_t* num_channels, size_t* bitdepth, + std::vector<uint8_t>* pixels) { + if (data.size() < 2) { + fprintf(stderr, "PNM file too small.\n"); + return false; + } + PNMParser parser(data.data(), data.size()); + const uint8_t* pos = nullptr; + if (!parser.ParseHeader(&pos, xsize, ysize, num_channels, bitdepth)) { + return false; + } + pixels->resize(data.data() + data.size() - pos); + memcpy(&(*pixels)[0], pos, pixels->size()); + return true; +} + +std::string ColorSpaceName(J_COLOR_SPACE colorspace) { + switch (colorspace) { + case JCS_UNKNOWN: + return "UNKNOWN"; + case JCS_GRAYSCALE: + return "GRAYSCALE"; + case JCS_RGB: + return "RGB"; + case JCS_YCbCr: + return "YCbCr"; + case JCS_CMYK: + return "CMYK"; + case JCS_YCCK: + return "YCCK"; + default: + return ""; + } +} + +std::string IOMethodName(JpegliDataType data_type, + JpegliEndianness endianness) { + std::string retval; + if (data_type == JPEGLI_TYPE_UINT8) { + return ""; + } else if (data_type == JPEGLI_TYPE_UINT16) { + retval = "UINT16"; + } else if (data_type == JPEGLI_TYPE_FLOAT) { + retval = "FLOAT"; + } + if (endianness == JPEGLI_LITTLE_ENDIAN) { + retval += "LE"; + } else if (endianness == JPEGLI_BIG_ENDIAN) { + retval += "BE"; + } + return retval; +} + +std::string SamplingId(const CompressParams& jparams) { + std::stringstream os; + JXL_CHECK(jparams.h_sampling.size() == jparams.v_sampling.size()); + if (!jparams.h_sampling.empty()) { + size_t len = jparams.h_sampling.size(); + while (len > 1 && jparams.h_sampling[len - 1] == 1 && + jparams.v_sampling[len - 1] == 1) { + --len; + } + os << "SAMP"; + for (size_t i = 0; i < len; ++i) { + if (i > 0) os << "_"; + os << jparams.h_sampling[i] << "x" << jparams.v_sampling[i]; + } + } + return os.str(); +} + +std::ostream& operator<<(std::ostream& os, const TestImage& input) { + os << input.xsize << "x" << input.ysize; + os << IOMethodName(input.data_type, input.endianness); + if (input.color_space != JCS_RGB) { + os << "InputColor" << ColorSpaceName((J_COLOR_SPACE)input.color_space); + } + if (input.color_space == JCS_UNKNOWN) { + os << input.components; + } + return os; +} + +std::ostream& operator<<(std::ostream& os, const CompressParams& jparams) { + os << "Q" << jparams.quality; + os << SamplingId(jparams); + if (jparams.set_jpeg_colorspace) { + os << "JpegColor" + << ColorSpaceName((J_COLOR_SPACE)jparams.jpeg_color_space); + } + if (!jparams.comp_ids.empty()) { + os << "CID"; + for (size_t i = 0; i < jparams.comp_ids.size(); ++i) { + os << jparams.comp_ids[i]; + } + } + if (!jparams.quant_indexes.empty()) { + os << "QIDX"; + for (size_t i = 0; i < jparams.quant_indexes.size(); ++i) { + os << jparams.quant_indexes[i]; + } + for (const auto& table : jparams.quant_tables) { + os << "TABLE" << table.slot_idx << "T" << table.table_type << "F" + << table.scale_factor + << (table.add_raw ? "R" + : table.force_baseline ? "B" + : ""); + } + } + if (jparams.progressive_mode >= 0) { + os << "P" << jparams.progressive_mode; + } else if (jparams.simple_progression) { + os << "Psimple"; + } + if (jparams.optimize_coding == 1) { + os << "OptimizedCode"; + } else if (jparams.optimize_coding == 0) { + os << "FixedCode"; + if (jparams.use_flat_dc_luma_code) { + os << "FlatDCLuma"; + } else if (jparams.omit_standard_tables) { + os << "OmitDHT"; + } + } + if (!jparams.use_adaptive_quantization) { + os << "NoAQ"; + } + if (jparams.restart_interval > 0) { + os << "R" << jparams.restart_interval; + } + if (jparams.restart_in_rows > 0) { + os << "RR" << jparams.restart_in_rows; + } + if (jparams.xyb_mode) { + os << "XYB"; + } else if (jparams.libjpeg_mode) { + os << "Libjpeg"; + } + if (jparams.override_JFIF >= 0) { + os << (jparams.override_JFIF ? "AddJFIF" : "NoJFIF"); + } + if (jparams.override_Adobe >= 0) { + os << (jparams.override_Adobe ? "AddAdobe" : "NoAdobe"); + } + if (jparams.add_marker) { + os << "AddMarker"; + } + if (!jparams.icc.empty()) { + os << "ICCSize" << jparams.icc.size(); + } + if (jparams.smoothing_factor != 0) { + os << "SF" << jparams.smoothing_factor; + } + return os; +} + +void SetNumChannels(J_COLOR_SPACE colorspace, size_t* channels) { + if (colorspace == JCS_GRAYSCALE) { + *channels = 1; + } else if (colorspace == JCS_RGB || colorspace == JCS_YCbCr) { + *channels = 3; + } else if (colorspace == JCS_CMYK || colorspace == JCS_YCCK) { + *channels = 4; + } else if (colorspace == JCS_UNKNOWN) { + JXL_CHECK(*channels <= 4); + } else { + JXL_ABORT(); + } +} + +void RGBToYCbCr(float r, float g, float b, float* y, float* cb, float* cr) { + *y = 0.299f * r + 0.587f * g + 0.114f * b; + *cb = -0.168736f * r - 0.331264f * g + 0.5f * b + 0.5f; + *cr = 0.5f * r - 0.418688f * g - 0.081312f * b + 0.5f; +} + +void ConvertPixel(const uint8_t* input_rgb, uint8_t* out, + J_COLOR_SPACE colorspace, size_t num_channels, + JpegliDataType data_type = JPEGLI_TYPE_UINT8, + bool swap_endianness = JPEGLI_NATIVE_ENDIAN) { + const float kMul = 255.0f; + float r = input_rgb[0] / kMul; + float g = input_rgb[1] / kMul; + float b = input_rgb[2] / kMul; + uint8_t out8[MAX_COMPONENTS]; + if (colorspace == JCS_GRAYSCALE) { + const float Y = 0.299f * r + 0.587f * g + 0.114f * b; + out8[0] = static_cast<uint8_t>(std::round(Y * kMul)); + } else if (colorspace == JCS_RGB || colorspace == JCS_UNKNOWN) { + for (size_t c = 0; c < num_channels; ++c) { + out8[c] = input_rgb[std::min<size_t>(2, c)]; + } + } else if (colorspace == JCS_YCbCr) { + float Y, Cb, Cr; + RGBToYCbCr(r, g, b, &Y, &Cb, &Cr); + out8[0] = static_cast<uint8_t>(std::round(Y * kMul)); + out8[1] = static_cast<uint8_t>(std::round(Cb * kMul)); + out8[2] = static_cast<uint8_t>(std::round(Cr * kMul)); + } else if (colorspace == JCS_CMYK || colorspace == JCS_YCCK) { + float K = 1.0f - std::max(r, std::max(g, b)); + float scaleK = 1.0f / (1.0f - K); + r *= scaleK; + g *= scaleK; + b *= scaleK; + if (colorspace == JCS_CMYK) { + out8[0] = static_cast<uint8_t>(std::round((1.0f - r) * kMul)); + out8[1] = static_cast<uint8_t>(std::round((1.0f - g) * kMul)); + out8[2] = static_cast<uint8_t>(std::round((1.0f - b) * kMul)); + } else if (colorspace == JCS_YCCK) { + float Y, Cb, Cr; + RGBToYCbCr(r, g, b, &Y, &Cb, &Cr); + out8[0] = static_cast<uint8_t>(std::round(Y * kMul)); + out8[1] = static_cast<uint8_t>(std::round(Cb * kMul)); + out8[2] = static_cast<uint8_t>(std::round(Cr * kMul)); + } + out8[3] = static_cast<uint8_t>(std::round(K * kMul)); + } else { + JXL_ABORT("Colorspace %d not supported", colorspace); + } + if (data_type == JPEGLI_TYPE_UINT8) { + memcpy(out, out8, num_channels); + } else if (data_type == JPEGLI_TYPE_UINT16) { + for (size_t c = 0; c < num_channels; ++c) { + uint16_t val = (out8[c] << 8) + out8[c]; + val |= 0x40; // Make little-endian and big-endian asymmetric + if (swap_endianness) { + val = JXL_BSWAP16(val); + } + memcpy(&out[sizeof(val) * c], &val, sizeof(val)); + } + } else if (data_type == JPEGLI_TYPE_FLOAT) { + for (size_t c = 0; c < num_channels; ++c) { + float val = out8[c] / 255.0f; + if (swap_endianness) { + val = BSwapFloat(val); + } + memcpy(&out[sizeof(val) * c], &val, sizeof(val)); + } + } +} + +void ConvertToGrayscale(TestImage* img) { + if (img->color_space == JCS_GRAYSCALE) return; + JXL_CHECK(img->data_type == JPEGLI_TYPE_UINT8); + for (size_t i = 0; i < img->pixels.size(); i += 3) { + if (img->color_space == JCS_RGB) { + ConvertPixel(&img->pixels[i], &img->pixels[i / 3], JCS_GRAYSCALE, 1); + } else if (img->color_space == JCS_YCbCr) { + img->pixels[i / 3] = img->pixels[i]; + } + } + img->pixels.resize(img->pixels.size() / 3); + img->color_space = JCS_GRAYSCALE; + img->components = 1; +} + +void GeneratePixels(TestImage* img) { + const std::vector<uint8_t> imgdata = ReadTestData("jxl/flower/flower.pnm"); + size_t xsize, ysize, channels, bitdepth; + std::vector<uint8_t> pixels; + JXL_CHECK(ReadPNM(imgdata, &xsize, &ysize, &channels, &bitdepth, &pixels)); + if (img->xsize == 0) img->xsize = xsize; + if (img->ysize == 0) img->ysize = ysize; + JXL_CHECK(img->xsize <= xsize); + JXL_CHECK(img->ysize <= ysize); + JXL_CHECK(3 == channels); + JXL_CHECK(8 == bitdepth); + size_t in_bytes_per_pixel = channels; + size_t in_stride = xsize * in_bytes_per_pixel; + size_t x0 = (xsize - img->xsize) / 2; + size_t y0 = (ysize - img->ysize) / 2; + SetNumChannels((J_COLOR_SPACE)img->color_space, &img->components); + size_t out_bytes_per_pixel = + jpegli_bytes_per_sample(img->data_type) * img->components; + size_t out_stride = img->xsize * out_bytes_per_pixel; + bool swap_endianness = + (img->endianness == JPEGLI_LITTLE_ENDIAN && !IsLittleEndian()) || + (img->endianness == JPEGLI_BIG_ENDIAN && IsLittleEndian()); + img->pixels.resize(img->ysize * out_stride); + for (size_t iy = 0; iy < img->ysize; ++iy) { + size_t y = y0 + iy; + for (size_t ix = 0; ix < img->xsize; ++ix) { + size_t x = x0 + ix; + size_t idx_in = y * in_stride + x * in_bytes_per_pixel; + size_t idx_out = iy * out_stride + ix * out_bytes_per_pixel; + ConvertPixel(&pixels[idx_in], &img->pixels[idx_out], + (J_COLOR_SPACE)img->color_space, img->components, + img->data_type, swap_endianness); + } + } +} + +void GenerateRawData(const CompressParams& jparams, TestImage* img) { + for (size_t c = 0; c < img->components; ++c) { + size_t xsize = jparams.comp_width(*img, c); + size_t ysize = jparams.comp_height(*img, c); + size_t factor_y = jparams.max_v_sample() / jparams.v_samp(c); + size_t factor_x = jparams.max_h_sample() / jparams.h_samp(c); + size_t factor = factor_x * factor_y; + std::vector<uint8_t> plane(ysize * xsize); + size_t bytes_per_pixel = img->components; + for (size_t y = 0; y < ysize; ++y) { + for (size_t x = 0; x < xsize; ++x) { + int result = 0; + for (size_t iy = 0; iy < factor_y; ++iy) { + size_t yy = std::min(y * factor_y + iy, img->ysize - 1); + for (size_t ix = 0; ix < factor_x; ++ix) { + size_t xx = std::min(x * factor_x + ix, img->xsize - 1); + size_t pixel_ix = (yy * img->xsize + xx) * bytes_per_pixel + c; + result += img->pixels[pixel_ix]; + } + } + result = static_cast<uint8_t>((result + factor / 2) / factor); + plane[y * xsize + x] = result; + } + } + img->raw_data.emplace_back(std::move(plane)); + } +} + +void GenerateCoeffs(const CompressParams& jparams, TestImage* img) { + for (size_t c = 0; c < img->components; ++c) { + int xsize_blocks = jparams.comp_width(*img, c) / DCTSIZE; + int ysize_blocks = jparams.comp_height(*img, c) / DCTSIZE; + std::vector<JCOEF> plane(ysize_blocks * xsize_blocks * DCTSIZE2); + for (int by = 0; by < ysize_blocks; ++by) { + for (int bx = 0; bx < xsize_blocks; ++bx) { + JCOEF* block = &plane[(by * xsize_blocks + bx) * DCTSIZE2]; + for (int k = 0; k < DCTSIZE2; ++k) { + block[k] = (bx - by) / (k + 1); + } + } + } + img->coeffs.emplace_back(std::move(plane)); + } +} + +void EncodeWithJpegli(const TestImage& input, const CompressParams& jparams, + j_compress_ptr cinfo) { + cinfo->image_width = input.xsize; + cinfo->image_height = input.ysize; + cinfo->input_components = input.components; + if (jparams.xyb_mode) { + jpegli_set_xyb_mode(cinfo); + } + if (jparams.libjpeg_mode) { + jpegli_enable_adaptive_quantization(cinfo, FALSE); + jpegli_use_standard_quant_tables(cinfo); + jpegli_set_progressive_level(cinfo, 0); + } + jpegli_set_defaults(cinfo); + cinfo->in_color_space = (J_COLOR_SPACE)input.color_space; + jpegli_default_colorspace(cinfo); + if (jparams.override_JFIF >= 0) { + cinfo->write_JFIF_header = jparams.override_JFIF; + } + if (jparams.override_Adobe >= 0) { + cinfo->write_Adobe_marker = jparams.override_Adobe; + } + if (jparams.set_jpeg_colorspace) { + jpegli_set_colorspace(cinfo, (J_COLOR_SPACE)jparams.jpeg_color_space); + } + if (!jparams.comp_ids.empty()) { + for (int c = 0; c < cinfo->num_components; ++c) { + cinfo->comp_info[c].component_id = jparams.comp_ids[c]; + } + } + if (!jparams.h_sampling.empty()) { + for (int c = 0; c < cinfo->num_components; ++c) { + cinfo->comp_info[c].h_samp_factor = jparams.h_sampling[c]; + cinfo->comp_info[c].v_samp_factor = jparams.v_sampling[c]; + } + } + jpegli_set_quality(cinfo, jparams.quality, TRUE); + if (!jparams.quant_indexes.empty()) { + for (int c = 0; c < cinfo->num_components; ++c) { + cinfo->comp_info[c].quant_tbl_no = jparams.quant_indexes[c]; + } + for (const auto& table : jparams.quant_tables) { + if (table.add_raw) { + cinfo->quant_tbl_ptrs[table.slot_idx] = + jpegli_alloc_quant_table((j_common_ptr)cinfo); + for (int k = 0; k < DCTSIZE2; ++k) { + cinfo->quant_tbl_ptrs[table.slot_idx]->quantval[k] = + table.quantval[k]; + } + cinfo->quant_tbl_ptrs[table.slot_idx]->sent_table = FALSE; + } else { + jpegli_add_quant_table(cinfo, table.slot_idx, &table.basic_table[0], + table.scale_factor, table.force_baseline); + } + } + } + if (jparams.simple_progression) { + jpegli_simple_progression(cinfo); + JXL_CHECK(jparams.progressive_mode == -1); + } + if (jparams.progressive_mode > 2) { + const ScanScript& script = kTestScript[jparams.progressive_mode - 3]; + cinfo->scan_info = script.scans; + cinfo->num_scans = script.num_scans; + } else if (jparams.progressive_mode >= 0) { + jpegli_set_progressive_level(cinfo, jparams.progressive_mode); + } + jpegli_set_input_format(cinfo, input.data_type, input.endianness); + jpegli_enable_adaptive_quantization(cinfo, jparams.use_adaptive_quantization); + cinfo->restart_interval = jparams.restart_interval; + cinfo->restart_in_rows = jparams.restart_in_rows; + cinfo->smoothing_factor = jparams.smoothing_factor; + if (jparams.optimize_coding == 1) { + cinfo->optimize_coding = TRUE; + } else if (jparams.optimize_coding == 0) { + cinfo->optimize_coding = FALSE; + } + cinfo->raw_data_in = !input.raw_data.empty(); + if (jparams.optimize_coding == 0 && jparams.use_flat_dc_luma_code) { + JHUFF_TBL* tbl = cinfo->dc_huff_tbl_ptrs[0]; + memset(tbl, 0, sizeof(*tbl)); + tbl->bits[4] = 15; + for (int i = 0; i < 15; ++i) tbl->huffval[i] = i; + } + if (input.coeffs.empty()) { + bool write_all_tables = TRUE; + if (jparams.optimize_coding == 0 && !jparams.use_flat_dc_luma_code && + jparams.omit_standard_tables) { + write_all_tables = FALSE; + cinfo->dc_huff_tbl_ptrs[0]->sent_table = TRUE; + cinfo->dc_huff_tbl_ptrs[1]->sent_table = TRUE; + cinfo->ac_huff_tbl_ptrs[0]->sent_table = TRUE; + cinfo->ac_huff_tbl_ptrs[1]->sent_table = TRUE; + } + jpegli_start_compress(cinfo, write_all_tables); + if (jparams.add_marker) { + jpegli_write_marker(cinfo, kSpecialMarker0, kMarkerData, + sizeof(kMarkerData)); + jpegli_write_m_header(cinfo, kSpecialMarker1, sizeof(kMarkerData)); + for (size_t p = 0; p < sizeof(kMarkerData); ++p) { + jpegli_write_m_byte(cinfo, kMarkerData[p]); + } + for (size_t i = 0; i < kMarkerSequenceLen; ++i) { + jpegli_write_marker(cinfo, kMarkerSequence[i], kMarkerData, + ((i + 2) % sizeof(kMarkerData))); + } + } + if (!jparams.icc.empty()) { + jpegli_write_icc_profile(cinfo, jparams.icc.data(), jparams.icc.size()); + } + } + if (cinfo->raw_data_in) { + // Need to copy because jpeg API requires non-const pointers. + std::vector<std::vector<uint8_t>> raw_data = input.raw_data; + size_t max_lines = jparams.max_v_sample() * DCTSIZE; + std::vector<std::vector<JSAMPROW>> rowdata(cinfo->num_components); + std::vector<JSAMPARRAY> data(cinfo->num_components); + for (int c = 0; c < cinfo->num_components; ++c) { + rowdata[c].resize(jparams.v_samp(c) * DCTSIZE); + data[c] = &rowdata[c][0]; + } + while (cinfo->next_scanline < cinfo->image_height) { + for (int c = 0; c < cinfo->num_components; ++c) { + size_t cwidth = cinfo->comp_info[c].width_in_blocks * DCTSIZE; + size_t cheight = cinfo->comp_info[c].height_in_blocks * DCTSIZE; + size_t num_lines = jparams.v_samp(c) * DCTSIZE; + size_t y0 = (cinfo->next_scanline / max_lines) * num_lines; + for (size_t i = 0; i < num_lines; ++i) { + rowdata[c][i] = + (y0 + i < cheight ? &raw_data[c][(y0 + i) * cwidth] : nullptr); + } + } + size_t num_lines = jpegli_write_raw_data(cinfo, &data[0], max_lines); + JXL_CHECK(num_lines == max_lines); + } + } else if (!input.coeffs.empty()) { + j_common_ptr comptr = reinterpret_cast<j_common_ptr>(cinfo); + jvirt_barray_ptr* coef_arrays = reinterpret_cast<jvirt_barray_ptr*>(( + *cinfo->mem->alloc_small)( + comptr, JPOOL_IMAGE, cinfo->num_components * sizeof(jvirt_barray_ptr))); + for (int c = 0; c < cinfo->num_components; ++c) { + size_t xsize_blocks = jparams.comp_width(input, c) / DCTSIZE; + size_t ysize_blocks = jparams.comp_height(input, c) / DCTSIZE; + coef_arrays[c] = (*cinfo->mem->request_virt_barray)( + comptr, JPOOL_IMAGE, FALSE, xsize_blocks, ysize_blocks, + cinfo->comp_info[c].v_samp_factor); + } + jpegli_write_coefficients(cinfo, coef_arrays); + if (jparams.add_marker) { + jpegli_write_marker(cinfo, kSpecialMarker0, kMarkerData, + sizeof(kMarkerData)); + jpegli_write_m_header(cinfo, kSpecialMarker1, sizeof(kMarkerData)); + for (size_t p = 0; p < sizeof(kMarkerData); ++p) { + jpegli_write_m_byte(cinfo, kMarkerData[p]); + } + } + for (int c = 0; c < cinfo->num_components; ++c) { + jpeg_component_info* comp = &cinfo->comp_info[c]; + for (size_t by = 0; by < comp->height_in_blocks; ++by) { + JBLOCKARRAY ba = (*cinfo->mem->access_virt_barray)( + comptr, coef_arrays[c], by, 1, true); + size_t stride = comp->width_in_blocks * sizeof(JBLOCK); + size_t offset = by * comp->width_in_blocks * DCTSIZE2; + memcpy(ba[0], &input.coeffs[c][offset], stride); + } + } + } else { + size_t stride = cinfo->image_width * cinfo->input_components * + jpegli_bytes_per_sample(input.data_type); + std::vector<uint8_t> row_bytes(stride); + for (size_t y = 0; y < cinfo->image_height; ++y) { + memcpy(&row_bytes[0], &input.pixels[y * stride], stride); + JSAMPROW row[] = {row_bytes.data()}; + jpegli_write_scanlines(cinfo, row, 1); + } + } + jpegli_finish_compress(cinfo); +} + +bool EncodeWithJpegli(const TestImage& input, const CompressParams& jparams, + std::vector<uint8_t>* compressed) { + uint8_t* buffer = nullptr; + unsigned long buffer_size = 0; + jpeg_compress_struct cinfo; + const auto try_catch_block = [&]() -> bool { + ERROR_HANDLER_SETUP(jpegli); + jpegli_create_compress(&cinfo); + jpegli_mem_dest(&cinfo, &buffer, &buffer_size); + EncodeWithJpegli(input, jparams, &cinfo); + return true; + }; + bool success = try_catch_block(); + jpegli_destroy_compress(&cinfo); + if (success) { + compressed->resize(buffer_size); + std::copy_n(buffer, buffer_size, compressed->data()); + } + if (buffer) std::free(buffer); + return success; +} + +int NumTestScanScripts() { return kNumTestScripts; } + +void DumpImage(const TestImage& image, const std::string fn) { + JXL_CHECK(image.components == 1 || image.components == 3); + size_t bytes_per_sample = jpegli_bytes_per_sample(image.data_type); + uint32_t maxval = (1u << (8 * bytes_per_sample)) - 1; + char type = image.components == 1 ? '5' : '6'; + std::ofstream out(fn.c_str(), std::ofstream::binary); + out << "P" << type << std::endl + << image.xsize << " " << image.ysize << std::endl + << maxval << std::endl; + out.write(reinterpret_cast<const char*>(image.pixels.data()), + image.pixels.size()); + out.close(); +} + +double DistanceRms(const TestImage& input, const TestImage& output, + size_t start_line, size_t num_lines, double* max_diff) { + size_t stride = input.xsize * input.components; + size_t start_offset = start_line * stride; + auto get_sample = [&](const TestImage& im, const std::vector<uint8_t>& data, + size_t idx) -> double { + size_t bytes_per_sample = jpegli_bytes_per_sample(im.data_type); + bool is_little_endian = + (im.endianness == JPEGLI_LITTLE_ENDIAN || + (im.endianness == JPEGLI_NATIVE_ENDIAN && IsLittleEndian())); + size_t offset = start_offset + idx * bytes_per_sample; + JXL_CHECK(offset < data.size()); + const uint8_t* p = &data[offset]; + if (im.data_type == JPEGLI_TYPE_UINT8) { + static const double mul8 = 1.0 / 255.0; + return p[0] * mul8; + } else if (im.data_type == JPEGLI_TYPE_UINT16) { + static const double mul16 = 1.0 / 65535.0; + return (is_little_endian ? LoadLE16(p) : LoadBE16(p)) * mul16; + } else if (im.data_type == JPEGLI_TYPE_FLOAT) { + return (is_little_endian ? LoadLEFloat(p) : LoadBEFloat(p)); + } + return 0.0; + }; + double diff2 = 0.0; + size_t num_samples = 0; + if (max_diff) *max_diff = 0.0; + if (!input.pixels.empty() && !output.pixels.empty()) { + num_samples = num_lines * stride; + for (size_t i = 0; i < num_samples; ++i) { + double sample_orig = get_sample(input, input.pixels, i); + double sample_output = get_sample(output, output.pixels, i); + double diff = sample_orig - sample_output; + if (max_diff) *max_diff = std::max(*max_diff, 255.0 * std::abs(diff)); + diff2 += diff * diff; + } + } else { + JXL_CHECK(!input.raw_data.empty()); + JXL_CHECK(!output.raw_data.empty()); + for (size_t c = 0; c < input.raw_data.size(); ++c) { + JXL_CHECK(c < output.raw_data.size()); + num_samples += input.raw_data[c].size(); + for (size_t i = 0; i < input.raw_data[c].size(); ++i) { + double sample_orig = get_sample(input, input.raw_data[c], i); + double sample_output = get_sample(output, output.raw_data[c], i); + double diff = sample_orig - sample_output; + if (max_diff) *max_diff = std::max(*max_diff, 255.0 * std::abs(diff)); + diff2 += diff * diff; + } + } + } + return std::sqrt(diff2 / num_samples) * 255.0; +} + +double DistanceRms(const TestImage& input, const TestImage& output, + double* max_diff) { + return DistanceRms(input, output, 0, output.ysize, max_diff); +} + +void VerifyOutputImage(const TestImage& input, const TestImage& output, + size_t start_line, size_t num_lines, double max_rms, + double max_diff) { + double max_d; + double rms = DistanceRms(input, output, start_line, num_lines, &max_d); + printf("rms: %f, max_rms: %f, max_d: %f, max_diff: %f\n", rms, max_rms, + max_d, max_diff); + JXL_CHECK(rms <= max_rms); + JXL_CHECK(max_d <= max_diff); +} + +void VerifyOutputImage(const TestImage& input, const TestImage& output, + double max_rms, double max_diff) { + JXL_CHECK(output.xsize == input.xsize); + JXL_CHECK(output.ysize == input.ysize); + JXL_CHECK(output.components == input.components); + JXL_CHECK(output.color_space == input.color_space); + if (!input.coeffs.empty()) { + JXL_CHECK(input.coeffs.size() == input.components); + JXL_CHECK(output.coeffs.size() == input.components); + for (size_t c = 0; c < input.components; ++c) { + JXL_CHECK(output.coeffs[c].size() == input.coeffs[c].size()); + JXL_CHECK(0 == memcmp(input.coeffs[c].data(), output.coeffs[c].data(), + input.coeffs[c].size())); + } + } else { + VerifyOutputImage(input, output, 0, output.ysize, max_rms, max_diff); + } +} + +} // namespace jpegli |