Show SV metadata for postprocess results

web_dehaze/pipeline.py

@@ -99,6 +99,25 @@ def post_result_path(filename: str, source: str, processor: str, params: dict[st
     return image_result_dir(filename) / "postprocess" / f"{_safe_slug(source)}__{_safe_slug(processor)}{suffix}.png"
 
 
+def post_metadata_path(output_path: Path) -> Path:
+    return output_path.with_suffix(".json")
+
+
+def read_post_metadata(output_path: Path) -> dict[str, Any]:
+    metadata_path = post_metadata_path(output_path)
+    if not metadata_path.exists():
+        return {}
+    try:
+        return json.loads(metadata_path.read_text(encoding="utf-8"))
+    except Exception:
+        return {}
+
+
+def write_post_metadata(output_path: Path, payload: dict[str, Any]) -> None:
+    metadata_path = post_metadata_path(output_path)
+    metadata_path.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
+
+
 def relpath(path: Path) -> str:
     return path.resolve().relative_to(ROOT).as_posix()
 
@@ -206,7 +225,20 @@ def get_results(filename: str) -> dict[str, Any]:
     post_dir = image_result_dir(filename) / "postprocess"
     if post_dir.exists():
         for path in sorted(post_dir.glob("*.png"), key=lambda p: p.name.lower()):
-            post.append({"name": path.stem, "exists": True, "path": relpath(path)})
+            metadata = read_post_metadata(path)
+            post.append(
+                {
+                    "name": path.stem,
+                    "exists": True,
+                    "path": relpath(path),
+                    "meta": metadata.get("meta", {}),
+                    "processor": metadata.get("processor", ""),
+                    "source": metadata.get("source", ""),
+                    "reference": metadata.get("reference", ""),
+                    "params": metadata.get("params", {}),
+                    "metadata_path": relpath(post_metadata_path(path)) if post_metadata_path(path).exists() else "",
+                }
+            )
 
     return {
         "image": filename,
@@ -249,6 +281,7 @@ def collect_download_items(filenames: list[str] | None = None, include_original:
         if post_dir.exists():
             for result in sorted(post_dir.glob("*.png"), key=lambda p: p.name.lower()):
                 add_file(result, f"{folder}/postprocess/{result.name}")
+                add_file(post_metadata_path(result), f"{folder}/postprocess/{post_metadata_path(result).name}")
 
     return items
 
@@ -523,6 +556,19 @@ def run_postprocessors_for_source(
         proc_params = params.get(processor, params)
         output = post_result_path(filename, source_name, processor, proc_params)
         meta = run_postprocess(processor, source_path, output, reference_path=reference_path, params=proc_params)
+        write_post_metadata(
+            output,
+            {
+                "image": filename,
+                "source": source_name,
+                "processor": processor,
+                "reference": reference_path.name,
+                "params": proc_params,
+                "meta": meta,
+                "output": relpath(output),
+                "created_at": time.strftime("%Y-%m-%d %H:%M:%S"),
+            },
+        )
         outputs.append(output)
         log(f"后处理完成 {source_name} / {processor}: {json.dumps(meta, ensure_ascii=False)}")
     return outputs

web_dehaze/server.py

@@ -130,9 +130,12 @@ def _run_default_batch_job(log, payload: dict[str, Any]) -> dict[str, Any]:
                 baidu_output = pipeline.run_dehaze_method(filename, "Baidu_API", {}, log)
 
             auto_output = pipeline.post_result_path(filename, "Baidu_API", "auto_sv", {})
-            if skip_existing and auto_output.exists():
+            auto_meta = pipeline.post_metadata_path(auto_output)
+            if skip_existing and auto_output.exists() and auto_meta.exists():
                 log(f"[自动 S/V] 已存在，跳过: {pipeline.relpath(auto_output)}")
             else:
+                if auto_output.exists() and not auto_meta.exists():
+                    log("[自动 S/V] 已有图片但缺少 S/V 元数据，重新计算")
                 outputs = pipeline.run_postprocessors_for_source(
                     filename,
                     "Baidu_API",

web_dehaze/static/app.js

@@ -28,6 +28,56 @@ function formatBytes(bytes) {
   return `${(bytes / 1024 / 1024).toFixed(1)} MB`;
 }
 
+function formatGain(value) {
+  const number = Number(value);
+  return Number.isFinite(number) ? number.toFixed(3) : "";
+}
+
+function svSummary(meta = {}) {
+  const s = formatGain(meta.s_gain);
+  const v = formatGain(meta.v_gain);
+  if (!s || !v) return "";
+  return `S ${s} · V ${v}`;
+}
+
+function updateGainLabels() {
+  $("sGainValue").textContent = formatGain($("sGain").value);
+  $("vGainValue").textContent = formatGain($("vGain").value);
+}
+
+function setOnlyPostprocessor(processor) {
+  [...$("postList").querySelectorAll("input[type=checkbox]")].forEach((input) => {
+    input.checked = input.value === processor;
+  });
+}
+
+function setSelectIfOption(selectId, value) {
+  const select = $(selectId);
+  if ([...select.options].some((option) => option.value === value)) {
+    select.value = value;
+  }
+}
+
+function applySvFromResult(item) {
+  const meta = item.meta || {};
+  const sGain = Number(meta.s_gain);
+  const vGain = Number(meta.v_gain);
+  if (!Number.isFinite(sGain) || !Number.isFinite(vGain)) return;
+
+  $("sGain").value = Math.min(2.5, Math.max(0, sGain));
+  $("vGain").value = Math.min(2.5, Math.max(0, vGain));
+  updateGainLabels();
+  setOnlyPostprocessor("manual_sv");
+  if (item.source) {
+    setSelectIfOption("postSource", item.source);
+  }
+  if (item.reference) {
+    setSelectIfOption("referenceImage", item.reference);
+  }
+  $("logBox").textContent = `已载入 ${item.name} 的参数：S=${formatGain(sGain)}，V=${formatGain(vGain)}\n可在左侧手动微调后点击“生成后处理”。`;
+  setJobState("SV Ready", "done");
+}
+
 function renderImages() {
   const box = $("imageList");
   box.innerHTML = "";
@@ -104,14 +154,26 @@ async function selectImage(name) {
   await refreshResults();
 }
 
-function resultCard(title, path, exists = true) {
+function resultCard(title, path, exists = true, item = null) {
   const card = document.createElement("article");
-  card.className = "result-card";
+  const summary = item ? svSummary(item.meta) : "";
+  card.className = `result-card ${summary ? "clickable" : ""}`;
   const badge = exists ? '<span class="badge ok">ready</span>' : '<span class="badge pending">未生成</span>';
   const body = exists
-    ? `<div class="image-frame"><img src="${assetUrl(path)}" alt="${title}" loading="lazy" /></div>`
+    ? `<div class="image-frame"><img src="${assetUrl(path)}" alt="${title}" loading="lazy" /></div>${summary ? `<div class="sv-strip"><span>${summary}</span><small>点击载入</small></div>` : ""}`
     : '<div class="image-frame"><span class="missing">暂无结果</span></div>';
   card.innerHTML = `<header><h3>${title}</h3>${badge}</header>${body}`;
+  if (summary && item) {
+    card.tabIndex = 0;
+    card.title = "点击将这组 S/V 载入左侧手动调整";
+    card.addEventListener("click", () => applySvFromResult(item));
+    card.addEventListener("keydown", (event) => {
+      if (event.key === "Enter" || event.key === " ") {
+        event.preventDefault();
+        applySvFromResult(item);
+      }
+    });
+  }
   return card;
 }
 
@@ -148,7 +210,7 @@ async function refreshResults() {
     grid.appendChild(resultCard(item.label, item.path, item.exists));
   });
   results.postprocess.forEach((item) => {
-    grid.appendChild(resultCard(item.name, item.path, true));
+    grid.appendChild(resultCard(item.name, item.path, true, item));
   });
   updatePostSourceOptions(results);
 }
@@ -253,12 +315,9 @@ function bindControls() {
   $("downloadCurrentBtn").addEventListener("click", downloadCurrent);
   $("downloadAllBtn").addEventListener("click", downloadAll);
   $("refreshBtn").addEventListener("click", refreshResults);
-  $("sGain").addEventListener("input", () => {
+  $("sGain").addEventListener("input", updateGainLabels);
-    $("sGainValue").textContent = `${Math.round(Number($("sGain").value) * 100)}%`;
+  $("vGain").addEventListener("input", updateGainLabels);
-  });
+  updateGainLabels();
-  $("vGain").addEventListener("input", () => {
-    $("vGainValue").textContent = `${Math.round(Number($("vGain").value) * 100)}%`;
-  });
 }
 
 async function init() {

web_dehaze/static/style.css

@@ -318,6 +318,17 @@ h1 {
   background: rgba(255, 250, 241, 0.82);
 }
 
+.result-card.clickable {
+  cursor: pointer;
+}
+
+.result-card.clickable:hover,
+.result-card.clickable:focus {
+  outline: 2px solid rgba(31, 107, 87, 0.36);
+  outline-offset: 2px;
+  border-color: rgba(31, 107, 87, 0.55);
+}
+
 .result-card header {
   display: flex;
   align-items: center;
@@ -372,6 +383,32 @@ h1 {
   background: #fff;
 }
 
+.sv-strip {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 10px;
+  min-height: 36px;
+  padding: 7px 10px;
+  border-top: 1px solid var(--line);
+  background: rgba(31, 107, 87, 0.09);
+  color: var(--green-dark);
+  font-size: 12px;
+  font-variant-numeric: tabular-nums;
+}
+
+.sv-strip span {
+  min-width: 0;
+  overflow-wrap: anywhere;
+  font-weight: 700;
+}
+
+.sv-strip small {
+  flex: 0 0 auto;
+  color: var(--muted);
+  font-size: 11px;
+}
+
 .missing {
   color: var(--muted);
   font-size: 13px;

使用手册.md

@@ -67,8 +67,9 @@ BAIDU_SECRET_KEY=...
 4. 勾选需要运行的模型，点击“运行选中模型”。
 5. 在后处理区域选择源图、参考图和后处理方法，点击“生成后处理”。
 6. 需要批量处理时，点击“批量默认流程”，会对 `待去雾图片/` 中所有图片执行 `Baidu_API -> 自动 S/V`。已有的百度结果和自动 S/V 结果会跳过，避免重复消耗 API。
-7. 需要导出结果时，在“下载”区域点击“下载当前图片”或“批量下载全部”，网页会生成 ZIP 包。
+7. 自动 S/V、手动 S/V 等后处理卡片会显示对应的 S/V 参数；点击带有 S/V 的结果卡片，会把参数载入左侧手动 S/V 滑杆，方便继续人工微调。
-8. 结果会保存到 `web_results/`，网页会自动刷新显示。
+8. 需要导出结果时，在“下载”区域点击“下载当前图片”或“批量下载全部”，网页会生成 ZIP 包。
+9. 结果会保存到 `web_results/`，网页会自动刷新显示。
 
 页面中“未生成”表示对应结果文件还不存在，并不是任务卡住。