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_small_stamp_opencv.py

@@ -0,0 +1,83 @@
+#!/opt/homebrew/bin/python3.11
+"""
+Find SMALL red triangles (Stamps) using OpenCV
+Filter: Triangle Shape + Small Area (Physical Constraint)
+"""
+
+import cv2
+import numpy as np
+import os
+
+UUID = "384b0ff44aaaa1f1"
+BASE_DIR = f"output/{UUID}/florence2_results"
+# Check the original frame
+IMG_NAME = "frame_6756.jpg"
+IMG_PATH = os.path.join(BASE_DIR, IMG_NAME)
+OUT_PATH = os.path.join(BASE_DIR, "found_small_stamp_opencv.jpg")
+
+print(f"🔍 Analyzing {IMG_NAME} for SMALL stamps...")
+if not os.path.exists(IMG_PATH):
+    print("❌ Image not found.")
+    exit()
+
+img = cv2.imread(IMG_PATH)
+h, w, _ = img.shape
+print(f"📐 Image Size: {w}x{h}")
+
+# 1. Convert to HSV
+hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+
+# 2. Red Mask
+mask1 = cv2.inRange(hsv, np.array([0, 70, 50]), np.array([10, 255, 255]))
+mask2 = cv2.inRange(hsv, np.array([170, 70, 50]), np.array([180, 255, 255]))
+mask = mask1 + mask2
+
+# 3. Find Contours
+contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+print(f"🔍 Found {len(contours)} red regions.")
+
+found_stamps = []
+# Screen area approx 2 million pixels. Stamp should be tiny (< 1% or < 15,000 pixels)
+MAX_STAMP_AREA = 15000
+
+for cnt in contours:
+    area = cv2.contourArea(cnt)
+
+    # Physical Constraint: Must be small
+    if area > MAX_STAMP_AREA:
+        continue
+
+    # Shape Constraint: Must be triangle-like (approx 3 vertices)
+    peri = cv2.arcLength(cnt, True)
+    approx = cv2.approxPolyDP(cnt, 0.04 * peri, True)
+
+    if len(approx) == 3:
+        x, y, w_box, h_box = cv2.boundingRect(approx)
+        found_stamps.append((x, y, w_box, h_box, approx, area))
+        print(f"✅ Potential Stamp: Area={area}, Box=({x},{y})")
+
+# 4. Draw Results
+result_img = img.copy()
+for x, y, w_box, h_box, approx, area in found_stamps:
+    cv2.rectangle(result_img, (x, y), (x + w_box, y + h_box), (0, 255, 0), 2)
+    cv2.drawContours(result_img, [approx], 0, (255, 0, 0), 2)
+    cv2.putText(
+        result_img,
+        f"STAMP ({area})",
+        (x, y - 10),
+        cv2.FONT_HERSHEY_SIMPLEX,
+        0.5,
+        (0, 255, 0),
+        1,
+    )
+
+if found_stamps:
+    cv2.imwrite(OUT_PATH, result_img)
+    print(f"🎨 Result saved to: {OUT_PATH}")
+    # Crop the first one
+    x, y, w_box, h_box, _, _ = found_stamps[0]
+    crop = img[y : y + h_box, x : x + w_box]
+    cv2.imwrite(os.path.join(BASE_DIR, "crop_small_stamp.jpg"), crop)
+else:
+    print("❌ No small stamps found in this frame.")