feat: update Python processors and add utility scripts

- Update ASR, face, OCR, pose processors
- Add release pre-flight check script
- Add synonym generation, chunk processing scripts
- Add face recognition, stamp search utilities

scripts/find_pink_stamp.py

@@ -0,0 +1,76 @@
+#!/opt/homebrew/bin/python3.11
+"""
+Find the Inverted Jenny Stamp (Rose/Pink border)
+"""
+
+import cv2
+import numpy as np
+import os
+
+UUID = "384b0ff44aaaa1f1"
+BASE_DIR = f"output/{UUID}/florence2_results"
+
+# Keyframes to check
+FRAMES = [
+    "scan_6751.jpg",  # 112:31
+    "scan_6755.jpg",  # 112:35
+    "scan_6756.jpg",  # 112:36
+    "scan_6759.jpg",  # 112:39
+]
+
+print("🔍 Searching for ROSE/CARMINE Stamps...")
+
+for frame_name in FRAMES:
+    img_path = os.path.join(BASE_DIR, frame_name)
+    if not os.path.exists(img_path):
+        continue
+
+    img = cv2.imread(img_path)
+    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+
+    # Define Rose/Carmine Pink Range
+    # The stamp is Rose Pink.
+    # Lower bound: Hue 165 (approx 330), Sat 100, Val 100
+    # Upper bound: Hue 15, Sat 255, Val 255
+    # Note: OpenCV Hue is 0-179. Pink is around 165-179 and 0-10.
+
+    mask1 = cv2.inRange(hsv, np.array([155, 50, 50]), np.array([179, 255, 255]))
+    mask2 = cv2.inRange(hsv, np.array([0, 50, 50]), np.array([10, 255, 255]))
+    mask = mask1 + mask2
+
+    contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+    print(f"\n🎞️ Scanning {frame_name}...")
+    found = False
+
+    for cnt in contours:
+        area = cv2.contourArea(cnt)
+        x, y, w, h = cv2.boundingRect(cnt)
+
+        # Filter: Stamp size (Small but visible, not noise, not face)
+        # 200 < Area < 10000
+        if 200 < area < 10000:
+            # Filter: Aspect Ratio (Should be rectangular)
+            aspect_ratio = float(w) / h
+            # Stamps are roughly 0.6 to 1.5 ratio.
+            if 0.4 < aspect_ratio < 2.5:
+                print(
+                    f"   ✅ Candidate Found: Area={int(area)}, Ratio={aspect_ratio:.2f}, Pos=({x},{y})"
+                )
+
+                # Draw
+                cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 3)
+
+                # Crop
+                crop = img[y : y + h, x : x + w]
+                crop_path = os.path.join(
+                    BASE_DIR, f"crop_stamp_{frame_name}_{x}_{y}.jpg"
+                )
+                cv2.imwrite(crop_path, crop)
+                found = True
+
+    if found:
+        res_path = os.path.join(BASE_DIR, f"result_pink_{frame_name}")
+        cv2.imwrite(res_path, img)
+    else:
+        print("   ❌ No stamp candidates found.")