X-Git-Url: https://git.nihav.org/?p=nihav.git;a=blobdiff_plain;f=nihav-core%2Fsrc%2Fscale%2Fpalette%2Fmod.rs;h=12c2947483b76bbaded90befab6f623aa36c46dd;hp=f70300fb8666f810ff68e23a911d51cc15345270;hb=e6aaad5c5273cd814b5748b7faf3751835a37217;hpb=625751036014b099fd9c126397bc973cb0543130 diff --git a/nihav-core/src/scale/palette/mod.rs b/nihav-core/src/scale/palette/mod.rs index f70300f..12c2947 100644 --- a/nihav-core/src/scale/palette/mod.rs +++ b/nihav-core/src/scale/palette/mod.rs @@ -45,12 +45,13 @@ mod palettise; //use mediancut::quantise_median_cut; //use neuquant::NeuQuantQuantiser; -#[derive(Clone,Copy,Debug,PartialEq)] +#[derive(Clone,Copy,Debug,PartialEq,Default)] /// Palette quantisation algorithms. pub enum QuantisationMode { /// Median cut approach proposed by Paul Heckbert. /// /// This is moderately fast and moderately good. + #[default] MedianCut, /// Enhanced LBG algorithm proposed by Giuseppe Patane and Marco Russo. /// @@ -63,25 +64,18 @@ pub enum QuantisationMode { NeuQuant(u8), } -impl Default for QuantisationMode { - fn default() -> Self { QuantisationMode::MedianCut } -} - -#[derive(Clone,Copy,Debug,PartialEq)] +#[derive(Clone,Copy,Debug,PartialEq,Default)] /// Algorithms for seaching an appropriate palette entry for a given pixel. pub enum PaletteSearchMode { /// Full search (slowest). Full, /// Local search (faster but may be not so good). + #[default] Local, /// k-d tree based one (the fastest but not so accurate). KDTree, } -impl Default for PaletteSearchMode { - fn default() -> Self { PaletteSearchMode::Local } -} - use crate::scale::palette::elbg::ELBG; use crate::scale::palette::mediancut::quantise_median_cut; use crate::scale::palette::neuquant::NeuQuantQuantiser; @@ -146,7 +140,7 @@ fn palettise_frame_internal(pic_in: &NABufferType, pic_out: &mut NABufferType, q }; let esize = ofmt.elem_size as usize; let coffs = [ofmt.comp_info[0].unwrap().comp_offs as usize, ofmt.comp_info[1].unwrap().comp_offs as usize, ofmt.comp_info[2].unwrap().comp_offs as usize]; - for (dpal, spal) in (&mut dst[paloff..]).chunks_mut(esize).zip(pal.iter()) { + for (dpal, spal) in dst[paloff..].chunks_mut(esize).zip(pal.iter()) { dpal[coffs[0]] = spal[0]; dpal[coffs[1]] = spal[1]; dpal[coffs[2]] = spal[2];