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Use svd for dimensional reduction

This commit is contained in:
prescientmoon 2024-10-05 00:44:54 +02:00
parent 238d81f3bd
commit 645b6ef525
Signed by: prescientmoon
SSH key fingerprint: SHA256:WFp/cO76nbarETAoQcQXuV+0h7XJsEsOCI0UsyPIy6U
10 changed files with 735 additions and 186 deletions

476
Cargo.lock generated
View file

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View file

@ -52,6 +52,13 @@ axum = { version = "0.7.6", features = ["macros"] }
paste = "1.0.15" paste = "1.0.15"
discord-rich-presence = "0.2.4" discord-rich-presence = "0.2.4"
reqwest = { version = "0.12.7", features = ["json"] } reqwest = { version = "0.12.7", features = ["json"] }
faer = { git = "https://github.com/sarah-ek/faer-rs", rev = "4f3eb7e65c69f7f7df3bdd93aa868d5666db3656", features = ["serde"] }
# [profile.dev.package."*"] [profile.dev.package.imageproc]
# opt-level = 3 opt-level = 3
[profile.dev.package.image]
opt-level = 3
[profile.dev.package.faer]
opt-level = 3

View file

@ -77,7 +77,9 @@ Additionally, you must place a custom `b30` background at `$SHIMMERING_ASSET_DIR
After everything has been placed in the right directory, run `shimmeringmoon-cli prepare-jackets` to prepare everything. This will: After everything has been placed in the right directory, run `shimmeringmoon-cli prepare-jackets` to prepare everything. This will:
- Associate each asset with it's database ID - Associate each asset with it's database ID
- Build out a recognition matrix for image recognition purposes (this matrix more or less contains a 8x8 downscaled version of each provided asset, stored in bitmap format together with the associated database ID) - Build out a recognition matrix (~30kb) for image recognition purposes. This file contains:
- about ~3 pixels worth of information for each jacket, stored together with their associated database IDs
- a projection matrix which transforms a $8 \times 8$ downscaled vectorized version of an image (that's $192$ dimensions — $64 \text{pixels} \times 3 \text{channels}$) and projects it to a $10$-dimensional space (the matrix is built using [singular value decomposition](https://en.wikipedia.org/wiki/Singular_value_decomposition)).
### Importing charts ### Importing charts

View file

@ -21,7 +21,7 @@
# }; # };
# toolchain = pkgs.rust-bin.selectLatestNightlyWith (toolchain: toolchain.default); # toolchain = pkgs.rust-bin.selectLatestNightlyWith (toolchain: toolchain.default);
# toolchain = pkgs.rust-bin.stable.latest.default; # toolchain = pkgs.rust-bin.stable.latest.default;
# toolchain = inputs.fenix.packages.${system}.complete.toolchain; toolchain = inputs.fenix.packages.${system}.complete.toolchain;
spkgs = inputs.self.packages.${system}; spkgs = inputs.self.packages.${system};
inherit (pkgs) lib; inherit (pkgs) lib;
in in
@ -46,11 +46,12 @@
# {{{ Devshell # {{{ Devshell
devShell = pkgs.mkShell rec { devShell = pkgs.mkShell rec {
nativeBuildInputs = with pkgs; [ nativeBuildInputs = with pkgs; [
cargo # cargo
rustc # rustc
clippy # clippy
rust-analyzer # rust-analyzer
rustfmt # rustfmt
toolchain
ruff ruff
imagemagick imagemagick

View file

@ -11,6 +11,7 @@ Kanbu de Tomatte Sugu Tokeru,,,overdrive
1F√,,,onefr 1F√,,,onefr
[X],,,infinity [X],,,infinity
0xe0e1ccull,,,ifirmx 0xe0e1ccull,,,ifirmx
Last,,,last
Last | Moment,,,last Last | Moment,,,last
Last | Eternity,,,lasteternity Last | Eternity,,,lasteternity
Lost Emotion feat. nomico,,,lostemotion Lost Emotion feat. nomico,,,lostemotion
@ -53,9 +54,11 @@ Einherjar Joker,,,einherjar
GOODTEK (Arcaea Edit),,,goodtek GOODTEK (Arcaea Edit),,,goodtek
Kanagawa Cyber Culvert,,,kanagawa Kanagawa Cyber Culvert,,,kanagawa
La'qryma of the Wasteland,,,laqryma La'qryma of the Wasteland,,,laqryma
PRAGMATISM,,,pragmatism
PRAGMATISM -RESURRECTION-,,,pragmatism PRAGMATISM -RESURRECTION-,,,pragmatism
qualia -ideaesthesia-,,,qualia qualia -ideaesthesia-,,,qualia
Shades of Light in a Transcendent Realm,,,shadesoflight Shades of Light in a Transcendent Realm,,,shadesoflight
trappola bewitching,,,trappola trappola bewitching,,,trappola
Vicious Heroism,,,viciousheroism
Vicious [ANTi] Heroism,,,viciousheroism Vicious [ANTi] Heroism,,,viciousheroism
eden,,,edenwacca eden,,,edenwacca

1 Name Difficulty Artist Shorthand
11 1F√ onefr
12 [X] infinity
13 0xe0e1ccull ifirmx
14 Last last
15 Last | Moment last
16 Last | Eternity lasteternity
17 Lost Emotion feat. nomico lostemotion
54 GOODTEK (Arcaea Edit) goodtek
55 Kanagawa Cyber Culvert kanagawa
56 La'qryma of the Wasteland laqryma
57 PRAGMATISM pragmatism
58 PRAGMATISM -RESURRECTION- pragmatism
59 qualia -ideaesthesia- qualia
60 Shades of Light in a Transcendent Realm shadesoflight
61 trappola bewitching trappola
62 Vicious Heroism viciousheroism
63 Vicious [ANTi] Heroism viciousheroism
64 eden edenwacca

View file

@ -2,13 +2,13 @@
use std::fs; use std::fs;
use anyhow::Context; use anyhow::Context;
use image::{imageops::FilterType, GenericImageView, Rgba}; use faer::{Mat, MatRef};
use num::Integer; use image::{GenericImageView, Pixel};
use num::{Integer, ToPrimitive};
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use serde_with::serde_as;
use crate::arcaea::chart::{Difficulty, Jacket, SongCache}; use crate::arcaea::chart::{Difficulty, Jacket, SongCache};
use crate::assets::{get_asset_dir, should_skip_jacket_art}; use crate::assets::get_asset_dir;
use crate::context::Error; use crate::context::Error;
// }}} // }}}
@ -16,19 +16,12 @@ use crate::context::Error;
pub const SPLIT_FACTOR: u32 = 8; pub const SPLIT_FACTOR: u32 = 8;
pub const IMAGE_VEC_DIM: usize = (SPLIT_FACTOR * SPLIT_FACTOR * 3) as usize; pub const IMAGE_VEC_DIM: usize = (SPLIT_FACTOR * SPLIT_FACTOR * 3) as usize;
pub const BITMAP_IMAGE_SIZE: u32 = 174; pub const BITMAP_IMAGE_SIZE: u32 = 174;
pub const JACKET_RECOGNITITION_DIMENSIONS: usize = 10;
#[serde_as] // {{{ (Image => vector) encoding
#[derive(Debug, Clone, Serialize, Deserialize)] #[allow(clippy::identity_op)]
pub struct ImageVec { pub fn image_to_vec(image: &impl GenericImageView) -> MVec<f32> {
#[serde_as(as = "[_; IMAGE_VEC_DIM]")] let mut colors = MVec::zeros(IMAGE_VEC_DIM, 1);
pub colors: [f32; IMAGE_VEC_DIM],
}
impl ImageVec {
// {{{ (Image => vector) encoding
#[allow(clippy::identity_op)]
pub fn from_image(image: &impl GenericImageView<Pixel = Rgba<u8>>) -> Self {
let mut colors = [0.0; IMAGE_VEC_DIM];
let chunk_width = image.width() / SPLIT_FACTOR; let chunk_width = image.width() / SPLIT_FACTOR;
let chunk_height = image.height() / SPLIT_FACTOR; let chunk_height = image.height() / SPLIT_FACTOR;
for i in 0..(SPLIT_FACTOR * SPLIT_FACTOR) { for i in 0..(SPLIT_FACTOR * SPLIT_FACTOR) {
@ -46,9 +39,13 @@ impl ImageVec {
let mut count = 0; let mut count = 0;
for (_, _, pixel) in cropped.pixels() { for (_, _, pixel) in cropped.pixels() {
r += (pixel.0[0] as u64).pow(2); let channels = pixel.channels();
g += (pixel.0[1] as u64).pow(2);
b += (pixel.0[2] as u64).pow(2); // I'm not sure this does what it's supposed to do for non rgb(a) pixels...
r += channels[0].to_u64().unwrap().pow(2);
g += channels[1].to_u64().unwrap().pow(2);
b += channels[2].to_u64().unwrap().pow(2);
count += 1; count += 1;
} }
@ -56,75 +53,50 @@ impl ImageVec {
let r = (r as f64 / count).sqrt(); let r = (r as f64 / count).sqrt();
let g = (g as f64 / count).sqrt(); let g = (g as f64 / count).sqrt();
let b = (b as f64 / count).sqrt(); let b = (b as f64 / count).sqrt();
colors[i as usize * 3 + 0] = r as f32; colors[(i as usize * 3 + 0, 0)] = r as f32;
colors[i as usize * 3 + 1] = g as f32; colors[(i as usize * 3 + 1, 0)] = g as f32;
colors[i as usize * 3 + 2] = b as f32; colors[(i as usize * 3 + 2, 0)] = b as f32;
} }
Self { colors } colors
}
#[inline]
pub fn distance_squared_to(&self, other: &Self) -> f32 {
let mut total = 0.0;
for i in 0..IMAGE_VEC_DIM {
let d = self.colors[i] - other.colors[i];
total += d * d;
}
total
}
// }}}
} }
// }}}
#[derive(Clone)] /// A column vector
pub type MVec<T> = Mat<T>;
/// This struct holds:
/// - a set of (song_id, vec) pairs of different images projected through the
/// aforementioned transform.
/// - an projection matrix for dimensionality reduction
#[derive(Clone, Serialize, Deserialize)]
pub struct JacketCache { pub struct JacketCache {
jackets: Vec<(u32, ImageVec)>, /// A matrix with each column corresponding to the result of passing a jacket
/// through [[image_to_vec]], and then projecting it through `transform_matrix`
pub jacket_matrix: Mat<f32>,
/// Assigns each column of `jacket_matrix` a song id.
pub jacket_ids: Vec<u32>,
/// A projection matrix for dimensionality reduction.
pub transform_matrix: Mat<f32>,
} }
impl JacketCache { // {{{ Read jackets
// {{{ Generate pub fn read_jackets(song_cache: &mut SongCache) -> Result<(), Error> {
// This is a bit inefficient (using a hash set), but only runs once
pub fn new(song_cache: &mut SongCache) -> Result<Self, Error> {
let jacket_vectors = if should_skip_jacket_art() {
let path = get_asset_dir().join("placeholder_jacket.jpg");
let contents: &'static _ = fs::read(path)?.leak();
let image = image::load_from_memory(contents)?;
let bitmap: &'static _ = Box::leak(Box::new(
image
.resize(BITMAP_IMAGE_SIZE, BITMAP_IMAGE_SIZE, FilterType::Nearest)
.into_rgb8(),
));
for chart in song_cache.charts_mut() {
chart.cached_jacket = Some(Jacket {
raw: contents,
bitmap,
});
}
Vec::new()
} else {
let suffix = format!("_{BITMAP_IMAGE_SIZE}.jpg"); let suffix = format!("_{BITMAP_IMAGE_SIZE}.jpg");
let songs_dir = get_asset_dir().join("songs/by_id"); let songs_dir = get_asset_dir().join("songs/by_id");
let entries = let entries = fs::read_dir(songs_dir).with_context(|| "Couldn't read songs directory")?;
fs::read_dir(songs_dir).with_context(|| "Couldn't read songs directory")?;
let bytes = fs::read(get_asset_dir().join("songs/recognition_matrix"))
.with_context(|| "Could not read jacket recognition matrix")?;
let jacket_vectors = postcard::from_bytes(&bytes)
.with_context(|| "Could not decode jacket recognition matrix")?;
for entry in entries { for entry in entries {
let dir = entry?; let dir = entry?;
let raw_dir_name = dir.file_name(); let raw_dir_name = dir.file_name();
let dir_name = raw_dir_name.to_str().unwrap(); let dir_name = raw_dir_name.to_str().unwrap();
let song_id = dir_name.parse().with_context(|| { let song_id = dir_name
format!("Dir name {dir_name} could not be parsed as `u32` song id") .parse()
})?; .with_context(|| format!("Dir name {dir_name} could not be parsed as `u32` song id"))?;
let entries = let entries = fs::read_dir(dir.path()).with_context(|| "Couldn't read song directory")?;
fs::read_dir(dir.path()).with_context(|| "Couldn't read song directory")?;
for entry in entries { for entry in entries {
let file = entry?; let file = entry?;
let raw_name = file.file_name(); let raw_name = file.file_name();
@ -172,28 +144,42 @@ impl JacketCache {
} }
} }
jacket_vectors Ok(())
}; }
// }}}
let result = Self { impl JacketCache {
jackets: jacket_vectors, // {{{ Generate
}; pub fn new() -> Result<Self, Error> {
let bytes = fs::read(get_asset_dir().join("songs/recognition_matrix"))
.with_context(|| "Could not read jacket recognition matrix")?;
let result = postcard::from_bytes(&bytes)?;
// .with_context(|| "Could not decode jacket recognition matrix")?;
Ok(result) Ok(result)
} }
// }}} // }}}
// {{{ Recognise // {{{ Recognise
/// Transforms a vector from image space to recognition space.
#[inline] #[inline]
pub fn recognise( pub fn transform_vec(&self, vec: MatRef<f32>) -> MVec<f32> {
&self, &self.transform_matrix * vec
image: &impl GenericImageView<Pixel = Rgba<u8>>, }
) -> Option<(f32, &u32)> {
let vec = ImageVec::from_image(image); #[inline]
self.jackets pub fn recognise(&self, image: &impl GenericImageView) -> Option<(f32, u32)> {
let vec = self.transform_vec(image_to_vec(image).as_ref());
self.jacket_ids
.iter() .iter()
.map(|(i, v)| (i, v, v.distance_squared_to(&vec))) .enumerate()
.min_by(|(_, _, d1), (_, _, d2)| d1.partial_cmp(d2).expect("NaN distance encountered")) .map(|(idx, id)| {
.map(|(i, _, d)| (d.sqrt(), i)) (id, {
(self.jacket_matrix.subcols(idx, 1) - &vec).squared_norm_l2()
})
})
.min_by(|(_, d1), (_, d2)| d1.partial_cmp(d2).expect("NaN distance encountered"))
.map(|(i, d)| (d.sqrt(), *i))
} }
// }}} // }}}
} }

View file

@ -71,11 +71,6 @@ pub static UNI_FONT: RefCell<Face> = get_font("unifont.otf");
} }
// }}} // }}}
// {{{ Asset art helpers // {{{ Asset art helpers
#[inline]
pub fn should_skip_jacket_art() -> bool {
var("SHIMMERING_NO_JACKETS").unwrap_or_default() == "1"
}
#[inline] #[inline]
#[allow(dead_code)] #[allow(dead_code)]
pub fn should_blur_jacket_art() -> bool { pub fn should_blur_jacket_art() -> bool {

View file

@ -3,10 +3,14 @@ use std::fs;
use std::io::{stdout, Write}; use std::io::{stdout, Write};
use anyhow::{anyhow, bail, Context}; use anyhow::{anyhow, bail, Context};
use faer::Mat;
use image::imageops::FilterType; use image::imageops::FilterType;
use shimmeringmoon::arcaea::chart::{Difficulty, SongCache}; use shimmeringmoon::arcaea::chart::{Difficulty, SongCache};
use shimmeringmoon::arcaea::jacket::{ImageVec, BITMAP_IMAGE_SIZE}; use shimmeringmoon::arcaea::jacket::{
image_to_vec, read_jackets, JacketCache, BITMAP_IMAGE_SIZE, IMAGE_VEC_DIM,
JACKET_RECOGNITITION_DIMENSIONS,
};
use shimmeringmoon::assets::{get_asset_dir, get_data_dir}; use shimmeringmoon::assets::{get_asset_dir, get_data_dir};
use shimmeringmoon::context::{connect_db, Error}; use shimmeringmoon::context::{connect_db, Error};
use shimmeringmoon::recognition::fuzzy_song_name::guess_chart_name; use shimmeringmoon::recognition::fuzzy_song_name::guess_chart_name;
@ -20,8 +24,12 @@ fn clear_line() {
pub fn run() -> Result<(), Error> { pub fn run() -> Result<(), Error> {
let db = connect_db(&get_data_dir()); let db = connect_db(&get_data_dir());
let song_cache = SongCache::new(&db)?; let mut song_cache = SongCache::new(&db)?;
let mut jacket_vector_ids = vec![];
let mut jacket_vectors = vec![];
// {{{ Prepare directories
let songs_dir = get_asset_dir().join("songs"); let songs_dir = get_asset_dir().join("songs");
let raw_songs_dir = songs_dir.join("raw"); let raw_songs_dir = songs_dir.join("raw");
@ -30,9 +38,8 @@ pub fn run() -> Result<(), Error> {
fs::remove_dir_all(&by_id_dir).with_context(|| "Could not remove `by_id` dir")?; fs::remove_dir_all(&by_id_dir).with_context(|| "Could not remove `by_id` dir")?;
} }
fs::create_dir_all(&by_id_dir).with_context(|| "Could not create `by_id` dir")?; fs::create_dir_all(&by_id_dir).with_context(|| "Could not create `by_id` dir")?;
// }}}
let mut jacket_vectors = vec![]; // {{{ Traverse raw songs directory
let entries = fs::read_dir(&raw_songs_dir) let entries = fs::read_dir(&raw_songs_dir)
.with_context(|| "Couldn't read songs directory")? .with_context(|| "Couldn't read songs directory")?
.collect::<Result<Vec<_>, _>>() .collect::<Result<Vec<_>, _>>()
@ -84,12 +91,7 @@ pub fn run() -> Result<(), Error> {
// the same directory. To do this, we only allow the base jacket to refer // the same directory. To do this, we only allow the base jacket to refer
// to the FUTURE difficulty, unless it's the only jacket present // to the FUTURE difficulty, unless it's the only jacket present
// (or unless we are parsing the tutorial) // (or unless we are parsing the tutorial)
let search_difficulty = let search_difficulty = difficulty;
if entries.len() > 1 && difficulty.is_none() && dir_name != "tutorial" {
Some(Difficulty::FTR)
} else {
difficulty
};
let (song, _) = guess_chart_name(dir_name, &song_cache, search_difficulty, true) let (song, _) = guess_chart_name(dir_name, &song_cache, search_difficulty, true)
.with_context(|| format!("Could not recognise chart name from '{dir_name}'"))?; .with_context(|| format!("Could not recognise chart name from '{dir_name}'"))?;
@ -120,12 +122,12 @@ pub fn run() -> Result<(), Error> {
.with_context(|| format!("Could not read image for file {:?}", file.path()))? .with_context(|| format!("Could not read image for file {:?}", file.path()))?
.leak(); .leak();
let image = image::load_from_memory(contents)?; let image = image::load_from_memory(contents)?;
jacket_vectors.push((song.id, ImageVec::from_image(&image)));
let small_image = let small_image =
image.resize(BITMAP_IMAGE_SIZE, BITMAP_IMAGE_SIZE, FilterType::Gaussian); image.resize(BITMAP_IMAGE_SIZE, BITMAP_IMAGE_SIZE, FilterType::Gaussian);
jacket_vector_ids.push(song.id);
jacket_vectors.push(image_to_vec(&image));
{ {
let image_small_path = let image_small_path =
out_dir.join(format!("{difficulty_string}_{BITMAP_IMAGE_SIZE}.jpg")); out_dir.join(format!("{difficulty_string}_{BITMAP_IMAGE_SIZE}.jpg"));
@ -150,27 +152,100 @@ pub fn run() -> Result<(), Error> {
} }
} }
} }
// }}}
clear_line(); clear_line();
println!("Successfully processed jackets");
// NOTE: this is N^2, but it's a one-off warning thing, so it's fine read_jackets(&mut song_cache)?;
println!("Successfully read jackets");
// {{{ Warn on missing jackets
for chart in song_cache.charts() { for chart in song_cache.charts() {
if jacket_vectors.iter().all(|(i, _)| chart.song_id != *i) { if chart.cached_jacket.is_none() {
println!( println!(
"No jacket found for '{} [{:?}]'", "No jacket found for '{} [{:?}]'",
song_cache.lookup_song(chart.song_id)?.song.title, song_cache.lookup_song(chart.song_id)?.song,
chart.difficulty chart.difficulty
) )
} }
} }
println!("No missing jackets detected");
// }}}
// {{{ Compute jacket vec matrix
let mut jacket_matrix: Mat<f32> = Mat::zeros(IMAGE_VEC_DIM, jacket_vectors.len());
for (i, v) in jacket_vectors.iter().enumerate() {
jacket_matrix.subcols_mut(i, 1).copy_from(v);
}
// }}}
// {{{ Compute transform matrix
let transform_matrix = {
let svd = jacket_matrix.thin_svd();
svd.u()
.transpose()
.submatrix(0, 0, JACKET_RECOGNITITION_DIMENSIONS, IMAGE_VEC_DIM)
.to_owned()
};
// }}}
// {{{ Build jacket cache
let jacket_cache = JacketCache {
jacket_ids: jacket_vector_ids,
jacket_matrix: &transform_matrix * &jacket_matrix,
transform_matrix,
};
// }}}
// {{{ Perform jacket recognition test
let chart_count = song_cache.charts().count();
for (i, chart) in song_cache.charts().enumerate() {
let song = &song_cache.lookup_song(chart.song_id)?.song;
// {{{ Update console display
if i != 0 {
clear_line();
}
print!("{}/{}: {song}", i, chart_count);
if i % 5 == 0 {
stdout().flush()?;
}
// }}}
if let Some(jacket) = chart.cached_jacket {
if let Some((_, song_id)) = jacket_cache.recognise(jacket.bitmap) {
if song_id != song.id {
let mistake = &song_cache.lookup_song(song_id)?.song;
bail!(
"Could not recognise jacket for {song} [{}]. Found song {mistake} instead.",
chart.difficulty
)
}
} else {
bail!(
"Could not recognise jacket for {song} [{}].",
chart.difficulty
)
}
}
}
// }}}
clear_line();
println!("Successfully tested jacket recognition");
// {{{ Save recognition matrix to disk
{ {
println!("Encoded {} images", jacket_vectors.len()); println!("Encoded {} images", jacket_vectors.len());
let bytes = postcard::to_allocvec(&jacket_vectors) let bytes = postcard::to_allocvec(&jacket_cache)
.with_context(|| "Coult not encode jacket matrix")?; .with_context(|| "Coult not encode jacket matrix")?;
fs::write(songs_dir.join("recognition_matrix"), bytes) fs::write(songs_dir.join("recognition_matrix"), bytes)
.with_context(|| "Could not write jacket matrix")?; .with_context(|| "Could not write jacket matrix")?;
} }
// }}}
Ok(()) Ok(())
} }

View file

@ -7,6 +7,7 @@ use std::fs;
use std::path::Path; use std::path::Path;
use std::sync::LazyLock; use std::sync::LazyLock;
use crate::arcaea::jacket::read_jackets;
use crate::arcaea::{chart::SongCache, jacket::JacketCache}; use crate::arcaea::{chart::SongCache, jacket::JacketCache};
use crate::assets::{get_data_dir, EXO_FONT, GEOSANS_FONT, KAZESAWA_BOLD_FONT, KAZESAWA_FONT}; use crate::assets::{get_data_dir, EXO_FONT, GEOSANS_FONT, KAZESAWA_BOLD_FONT, KAZESAWA_FONT};
use crate::recognition::{hyperglass::CharMeasurements, ui::UIMeasurements}; use crate::recognition::{hyperglass::CharMeasurements, ui::UIMeasurements};
@ -109,7 +110,10 @@ impl UserContext {
let mut song_cache = SongCache::new(&db)?; let mut song_cache = SongCache::new(&db)?;
let ui_measurements = UIMeasurements::read()?; let ui_measurements = UIMeasurements::read()?;
let jacket_cache = timed!("make_jacket_cache", { JacketCache::new(&mut song_cache)? }); let jacket_cache = JacketCache::new()?;
timed!("read_jackets", {
read_jackets(&mut song_cache)?;
});
// {{{ Font measurements // {{{ Font measurements
static WHITELIST: &str = "0123456789'abcdefghklmnopqrstuvwxyzABCDEFGHIJKLMNOPRSTUVWXYZ"; static WHITELIST: &str = "0123456789'abcdefghklmnopqrstuvwxyzABCDEFGHIJKLMNOPRSTUVWXYZ";

View file

@ -327,7 +327,7 @@ impl ImageAnalyzer {
bail!("No known jacket looks like this"); bail!("No known jacket looks like this");
} }
let (song, chart) = ctx.song_cache.lookup_by_difficulty(*song_id, difficulty)?; let (song, chart) = ctx.song_cache.lookup_by_difficulty(song_id, difficulty)?;
Ok((song, chart)) Ok((song, chart))
} }