Zaris naslovnic iz zaznave obrazov (OpenCV) namesto LLM ugibanja — glave se ne rezejo vec

server/focal-point.ts

@@ -7,6 +7,23 @@ const openai = new OpenAI({
   baseURL: process.env.AI_INTEGRATIONS_OPENAI_BASE_URL,
 });
 
+
+// Zaris iz zaznave obrazov (OpenCV) — /opt/folxtv-uploads/focal_points.json,
+// ki ga polni /opt/folx-fix/focal_calc.py na openclaw1. LLM je zaris ugibal in
+// je pri portretnih slikah rezal glave, zato ima ta datoteka prednost.
+const DETECTED_PATH = path.join(process.cwd(), "client/public/uploads/focal_points.json");
+let detected: Record<string, { x: number; y: number }> = {};
+let detectedMtime = 0;
+function loadDetected() {
+  try {
+    const st = fs.statSync(DETECTED_PATH);
+    if (st.mtimeMs === detectedMtime) return;
+    detected = JSON.parse(fs.readFileSync(DETECTED_PATH, "utf-8"));
+    detectedMtime = st.mtimeMs;
+    console.log("[focal-point] zaznanih zarisov:", Object.keys(detected).length);
+  } catch {}
+}
+
 const cache = new Map<string, { x: number; y: number }>();
 
 const manualOverrides: Record<string, { x: number; y: number }> = {
@@ -33,6 +50,11 @@ export async function analyzeFocalPoint(imagePath: string): Promise<{ x: number;
     cache.set(originalPath, manualOverrides[originalPath]);
     return manualOverrides[originalPath];
   }
+  loadDetected();
+  if (detected[originalPath]) {
+    cache.set(originalPath, detected[originalPath]);
+    return detected[originalPath];
+  }
   if (cache.has(originalPath)) {
     return cache.get(originalPath)!;
   }
@@ -102,9 +124,14 @@ export async function analyzeAllArticleImages(articles: Array<{ coverImage: stri
 }
 
 export function getCachedFocalPoints(): Record<string, { x: number; y: number }> {
+  loadDetected();
   const result: Record<string, { x: number; y: number }> = {};
   for (const [key, value] of cache.entries()) {
     result[key] = value;
   }
+  // zaznani zaris ima prednost pred LLM ugibanjem
+  for (const [key, value] of Object.entries(detected)) {
+    result[key] = value;
+  }
   return result;
 }