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/test_visual_chunk.rs

@@ -0,0 +1,81 @@
+// 測試視覺分片處理器
+use momentry_core::core::chunk::types::{Chunk, ChunkRule, ChunkType};
+use momentry_core::core::processor::visual_chunk::process_visual_chunk;
+use momentry_core::core::processor::yolo::{YoloFrame, YoloObject, YoloResult};
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    println!("=== 測試視覺分片處理器 ===");
+
+    // 創建一個簡單的 YOLO 結果用於測試
+    let mut yolo_result = YoloResult {
+        frame_count: 100,
+        fps: 30.0,
+        frames: Vec::new(),
+    };
+
+    // 創建一些測試幀
+    for i in 0..10 {
+        let objects = vec![
+            YoloObject {
+                class_name: "person".to_string(),
+                class_id: 0,
+                x: 100,
+                y: 200,
+                width: 50,
+                height: 100,
+                confidence: 0.85,
+            },
+            YoloObject {
+                class_name: "car".to_string(),
+                class_id: 2,
+                x: 300,
+                y: 150,
+                width: 80,
+                height: 60,
+                confidence: 0.90,
+            },
+        ];
+
+        let frame = YoloFrame {
+            frame: i * 10,
+            timestamp: (i * 10) as f64 / 30.0,
+            objects,
+        };
+
+        yolo_result.frames.push(frame);
+    }
+
+    println!("創建了測試 YOLO 結果: {} 幀", yolo_result.frames.len());
+
+    // 測試 process_visual_chunk 函數
+    let result = process_visual_chunk(
+        1,
+        "test_uuid".to_string(),
+        "/test/path/video.mp4",
+        &yolo_result,
+        0,
+        30.0,
+    )
+    .await?;
+
+    println!("視覺分片處理器執行成功!");
+    println!("生成分片數量: {}", result.chunk_count);
+    println!("處理總幀數: {}", result.total_frames);
+    println!("檢測物件總數: {}", result.total_objects);
+    println!("唯一物件類別數: {}", result.unique_classes);
+
+    // 顯示前幾個分片的摘要
+    for (i, chunk) in result.chunks.iter().take(3).enumerate() {
+        println!("分片 {}:", i);
+        println!("  ID: {}", chunk.chunk_id);
+        println!("  類型: {:?}", chunk.chunk_type);
+        println!("  規則: {:?}", chunk.rule);
+        println!("  幀範圍: {} - {}", chunk.start_frame, chunk.end_frame);
+        println!("  持續時間: {:.2}s", chunk.duration_seconds());
+        println!("  物件統計: {:?}", chunk.visual_stats);
+    }
+
+    println!("\n=== 測試完成 ===");
+    Ok(())
+}