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/visualize_stamp.py

@@ -0,0 +1,45 @@
+#!/opt/homebrew/bin/python3.11
+"""
+Draw Detection Result on Image
+"""
+
+import cv2
+import os
+
+UUID = "384b0ff44aaaa1f1"
+OUTPUT_DIR = f"output/{UUID}/florence2_results"
+INPUT_IMG = os.path.join(OUTPUT_DIR, f"raw_6846.jpg")
+OUTPUT_IMG = os.path.join(OUTPUT_DIR, f"raw_6846_detected.jpg")
+
+# Florence-2 Result from previous run: [x_min, y_min, x_max, y_max]
+# Note: Florence-2 usually returns coordinates in normalized 0-1000 scale.
+box_raw = [1721.28, 23.22, 1813.44, 173.34]
+
+# Image dimensions
+img_width, img_height = 1920, 1080
+
+print(f"🎨 Drawing box on {INPUT_IMG}...")
+
+img = cv2.imread(INPUT_IMG)
+if img is None:
+    print("❌ Failed to load image.")
+    exit()
+
+# Convert normalized coordinates to pixel coordinates
+# Florence-2 uses 1000x1000 normalized coordinates
+x1 = int((box_raw[0] / 1000.0) * img_width)
+y1 = int((box_raw[1] / 1000.0) * img_height)
+x2 = int((box_raw[2] / 1000.0) * img_width)
+y2 = int((box_raw[3] / 1000.0) * img_height)
+
+print(f"📍 Pixel Coordinates: ({x1}, {y1}) to ({x2}, {y2})")
+
+# Draw Rectangle (Color: Green, Thickness: 4)
+cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 4)
+
+# Add Label
+cv2.putText(img, "STAMP", (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
+
+# Save
+cv2.imwrite(OUTPUT_IMG, img)
+print(f"✅ Saved result to {OUTPUT_IMG}")