diff options
Diffstat (limited to 'third_party/jpeg-xl/lib/jxl/modular/options.h')
| -rw-r--r-- | third_party/jpeg-xl/lib/jxl/modular/options.h | 8 |
1 files changed, 7 insertions, 1 deletions
diff --git a/third_party/jpeg-xl/lib/jxl/modular/options.h b/third_party/jpeg-xl/lib/jxl/modular/options.h index ce6596b912..6613b513de 100644 --- a/third_party/jpeg-xl/lib/jxl/modular/options.h +++ b/third_party/jpeg-xl/lib/jxl/modular/options.h @@ -11,6 +11,8 @@ #include <array> #include <vector> +#include "lib/jxl/enc_ans_params.h" + namespace jxl { using PropertyVal = int32_t; @@ -37,6 +39,8 @@ enum class Predictor : uint32_t { 15, // Find the best decision tree for predictors/predictor per row }; +constexpr Predictor kUndefinedPredictor = static_cast<Predictor>(~0u); + constexpr size_t kNumModularPredictors = static_cast<size_t>(Predictor::Average4) + 1; constexpr size_t kNumModularEncoderPredictors = @@ -80,7 +84,7 @@ struct ModularOptions { size_t max_property_values = 32; // Predictor to use for each channel. - Predictor predictor = static_cast<Predictor>(-1); + Predictor predictor = kUndefinedPredictor; int wp_mode = 0; @@ -108,6 +112,8 @@ struct ModularOptions { }; TreeKind tree_kind = TreeKind::kLearn; + HistogramParams histogram_params; + // Ignore the image and just pretend all tokens are zeroes bool zero_tokens = false; }; |