#![allow(dead_code, unused_imports, unused_variables, unused_macros, unreachable_patterns)] /// Fine-grid inner-shadow MAE tuning around the best parameters found by coarse grid. /// /// Coarse grid result: blur_factor=6.0, passes=1, choke_scale=0.00, mask_strength=0.75 /// This script tests finer ranges around those values. use std::io::Write; const GT_DIR: &str = "_tmp/inner_shadow_png_set"; const CANVAS: u32 = 256; const MARGIN: u32 = 64; const RESULTS_FILE: &str = "inner_shadow_fine_results.txt"; struct Sample { name: String, angle: f32, distance: f32, size: f32, choke: f32, opacity: f32, noise: f32, ref_pixels: Vec, content_mask: Vec, } fn main() { let entries: Vec<_> = std::fs::read_dir(GT_DIR) .unwrap_or_else(|e| panic!("cannot read {}: {}", GT_DIR, e)) .filter_map(|e| e.ok()) .filter(|e| { let s = e.file_name(); let s = s.to_string_lossy(); s.starts_with("is_a") && s.ends_with(".png") }) .collect(); println!("Found {} PNGs in {}", entries.len(), GT_DIR); let mut samples: Vec = Vec::new(); let mut skipped_noise = 0; for entry in &entries { let path = entry.path(); let stem = path.file_stem().unwrap().to_string_lossy().to_string(); let params = match parse_filename(&stem) { Some(p) => p, None => { eprintln!(" SKIP: {}", stem); continue; } }; let (angle, distance, size, choke, opacity, noise, _blend) = params; if noise > 0.0 { skipped_noise += 1; continue; } let img = match image::open(&path) { Ok(i) => i, Err(e) => { eprintln!(" SKIP {}: {}", stem, e); continue; } }; let rgba = img.to_rgba8(); let raw = rgba.into_raw(); let npix = (CANVAS * CANVAS) as usize; let mut content_mask = vec![false; npix]; for i in 0..npix { let r = raw[i * 4]; let g = raw[i * 4 + 1]; let b = raw[i * 4 + 2]; let a = raw[i * 4 + 3]; content_mask[i] = a > 0 || !(r == 255 && g == 255 && b == 255); } samples.push(Sample { name: stem, angle, distance, size, choke, opacity, noise, ref_pixels: raw, content_mask, }); } println!("Loaded {} samples (skipped {} with noise>0)", samples.len(), skipped_noise); if samples.is_empty() { eprintln!("No valid samples found."); std::process::exit(1); } let content_count = samples[0].content_mask.iter().filter(|&&b| b).count(); println!("Content pixels per image: {} / {} ({:.1}%)", content_count, npix(), content_count as f64 / npix() as f64 * 100.0); let rect_alpha: Vec = { let n = npix(); let mut a = vec![0u8; n]; for y in 0..CANVAS { for x in 0..CANVAS { if x >= MARGIN && x < CANVAS - MARGIN && y >= MARGIN && y < CANVAS - MARGIN { a[(y * CANVAS + x) as usize] = 255; } } } a }; let shadow_color: [u8; 4] = [220, 30, 30, 255]; // Fine grid around best: bf=6.0, p=1, cs=0.00, ms=0.75 let blur_factors: &[f32] = &[4.0, 4.5, 5.0, 5.5, 5.8, 6.0, 6.2, 6.5, 7.0, 8.0, 10.0]; let passes_list: &[i32] = &[1, 2]; let choke_scales: &[f32] = &[0.0, 0.1, 0.2, 0.3]; let mask_strengths: &[f32] = &[0.5, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 1.0]; let total_combos = blur_factors.len() * passes_list.len() * choke_scales.len() * mask_strengths.len(); println!("Fine grid: {} combos x {} samples = {} evals", total_combos, samples.len(), total_combos * samples.len()); std::io::stdout().flush().ok(); let mut best_avg_mae = f64::MAX; let mut best_params = (0.0f32, 0i32, 0.0f32, 0.0f32); let mut eval_count = 0usize; // Also track per-angle best let angles: Vec = { let mut set = std::collections::BTreeSet::new(); for s in &samples { set.insert(s.angle as i32); } set.into_iter().map(|a| a as f32).collect() }; let mut per_angle_best: std::collections::HashMap = std::collections::HashMap::new(); for &blur_factor in blur_factors { for &passes in passes_list { for &choke_scale in choke_scales { for &mask_strength in mask_strengths { let mut total_mae = 0.0f64; for s in &samples { let shadow = hcie_fx::tuned::generate_inner_shadow_tuned( &rect_alpha, CANVAS, CANVAS, s.angle, s.distance, s.choke, s.size, shadow_color, blur_factor, passes, choke_scale, mask_strength, ); let px = npix(); let mut out = vec![0u8; px * 4]; for i in 0..px { if rect_alpha[i] > 0 { out[i * 4] = 0; out[i * 4 + 1] = 0; out[i * 4 + 2] = 0; out[i * 4 + 3] = 255; } } for i in 0..px { let sa = shadow[i * 4 + 3]; if sa == 0 { continue; } let dst = [out[i * 4], out[i * 4 + 1], out[i * 4 + 2], out[i * 4 + 3]]; let src = [shadow[i * 4], shadow[i * 4 + 1], shadow[i * 4 + 2], sa]; let blended = hcie_blend::blend_pixels(dst, src, hcie_blend::BlendMode::Normal, s.opacity); out[i * 4..i * 4 + 4].copy_from_slice(&blended); } let mut diff_sum = 0.0f64; let mut content_pixels = 0u64; for i in 0..px { if !s.content_mask[i] { continue; } content_pixels += 1; for c in 0..4 { diff_sum += (out[i * 4 + c] as i32 - s.ref_pixels[i * 4 + c] as i32).abs() as f64; } } if content_pixels > 0 { let mae = diff_sum / content_pixels as f64 / 4.0; total_mae += mae; // Per-angle tracking let angle_key = s.angle as i32; let entry = per_angle_best.entry(angle_key).or_insert((f64::MAX, 0.0, 0, 0.0, 0.0)); if mae < entry.0 { *entry = (mae, blur_factor, passes, choke_scale, mask_strength); } } } eval_count += 1; let avg_mae = total_mae / samples.len() as f64; if avg_mae < best_avg_mae { best_avg_mae = avg_mae; best_params = (blur_factor, passes, choke_scale, mask_strength); println!("*** [{}/{}] NEW BEST avg MAE = {:.4} (bf={:.1}, p={}, cs={:.2}, ms={:.2})", eval_count, total_combos, best_avg_mae, blur_factor, passes, choke_scale, mask_strength); std::io::stdout().flush().ok(); } else if eval_count % 100 == 0 { println!(" [{}/{}] avg={:.4} best={:.4}", eval_count, total_combos, avg_mae, best_avg_mae); std::io::stdout().flush().ok(); } } } } } let (bbf, bp, bcs, bms) = best_params; println!("\n=== RESULT ==="); println!("Best avg MAE = {:.4}", best_avg_mae); println!(" blur_factor = {:.1}", bbf); println!(" passes = {}", bp); println!(" choke_scale = {:.2}", bcs); println!(" mask_strength = {:.2}", bms); println!("\n=== PER-ANGLE BEST ==="); for angle in &angles { let key = *angle as i32; if let Some((mae, bf, p, cs, ms)) = per_angle_best.get(&key) { println!(" angle={:.0}: MAE={:.4} bf={:.1} p={} cs={:.2} ms={:.2}", angle, mae, bf, p, cs, ms); } } if let Ok(mut file) = std::fs::OpenOptions::new() .create(true).write(true).truncate(true).open(RESULTS_FILE) { let _ = writeln!(file, "blur_factor={:.1} passes={} choke_scale={:.2} mask_strength={:.2}\n\ avg_mae={:.4} samples={} combos={}", bbf, bp, bcs, bms, best_avg_mae, samples.len(), total_combos); let _ = writeln!(file, "\n=== PER-ANGLE BEST ==="); for angle in &angles { let key = *angle as i32; if let Some((mae, bf, p, cs, ms)) = per_angle_best.get(&key) { let _ = writeln!(file, " angle={:.0}: MAE={:.4} bf={:.1} p={} cs={:.2} ms={:.2}", angle, mae, bf, p, cs, ms); } } } } fn npix() -> usize { (CANVAS * CANVAS) as usize } fn parse_filename(name: &str) -> Option<(f32, f32, f32, f32, f32, f32, String)> { let parts: Vec<&str> = name.split('_').collect(); if parts.len() < 8 || parts[0] != "is" { return None; } let angle = parts[1].strip_prefix('a')?.parse::().ok()?; let distance = parts[2].strip_prefix('d')?.parse::().ok()?; let size = parts[3].strip_prefix('s')?.parse::().ok()?; let choke = parts[4].strip_prefix('c')?.parse::().ok()?; let opacity = parts[5].strip_prefix("op")?.parse::().ok()? / 100.0; let noise = parts[6].strip_prefix('n')?.parse::().ok()?; let blend = parts[7].to_string(); Some((angle, distance, size, choke, opacity, noise, blend)) }