diff --git a/CODE_OVERVIEW.md b/CODE_OVERVIEW.md
new file mode 100644
index 0000000..9b97f3a
--- /dev/null
+++ b/CODE_OVERVIEW.md
@@ -0,0 +1,53 @@
+# 关键函数和API关系概览
+
+## main.py
+- `main()` - 程序入口，解析命令行参数并调用 `run_server` 启动 Web 服务。
+- `setup_enhanced_logging(level)` - 配置日志系统，同时记录 FFmpeg 日志。
+- `check_dependencies()` - 检查 FFmpeg 及硬件加速（NVENC/QSV）。
+- `check_environment()` - 创建并验证 `cache/` 与 `output/` 目录。
+
+## converter 模块
+- 全局常量定义于 `converter/__init__.py`，并导出核心类：
+  - `FrameGenerator`/`OptimizedFrameGenerator`
+  - `VideoEncoder`(别名 `DirectAVIEncoder`)、`StreamingVideoEncoder`、`BatchVideoEncoder`
+  - `ReedSolomonEncoder`
+- `utils.py` 提供:
+  - `expand_pixels_9x1()`、`bytes_to_color_indices()`：Numba 加速的像素映射
+  - `CacheManager`：文件分块缓存管理
+  - `calculate_video_params()`：根据文件大小计算帧数等参数
+  - `verify_video_file()`：利用 FFmpeg/ffprobe 检查输出视频
+  - `is_nvenc_available()`、`is_qsv_available()`：检测硬件编码支持
+- `frame_generator.py`:
+  - `FrameGenerator.generate_frames_from_data()` 生成帧序列，可回调进度
+  - `OptimizedFrameGenerator` 进一步利用预分配缓冲区提高性能
+- `encoder.py`:
+  - `DirectAVIEncoder`/`StreamingDirectAVIEncoder`/`ParallelDirectAVIEncoder`
+  - `get_optimal_encoder()` 根据 CPU 核心数选择合适的编码器实现
+- `decoder.py`:
+  - `VideoDecoder.extract_data()` 从视频还原字节流
+  - `ParallelVideoDecoder` 通过线程池并行解码
+- `error_correction.py`:
+  - `ReedSolomonEncoder`、`XORInterleaver`、`HybridErrorCorrection`
+- `gpu_error_correction.py`:
+  - `GPUReedSolomonEncoder` 使用 CUDA 进行 RS 编码
+- `gpu_frame_generator.py`:
+  - `GPUFrameGenerator` 在 GPU 上生成帧
+- `avi_writer.py`:
+  - `SimpleAVIWriter` 直接写入未压缩 AVI
+  - `convert_bytes_to_avi()` 使用给定帧生成器批量写入
+- `pipeline.py`:
+  - `ConversionPipeline` 组织 `ErrorCorrectionStage`、`FrameGenerationStage`、`VideoEncodingStage`
+- `video_raptor_encoder.py`:
+  - `VideoRaptorEncoder` 生成包含元数据和校准图的帧
+
+## web_ui/server.py
+- Flask + Socket.IO Web 服务，关键路由：
+  - `/api/upload` 上传文件并缓存
+  - `/api/start-conversion` 创建并启动 `ConversionTask`
+  - `/api/stop-conversion` 停止指定任务
+  - `/api/download/<task_id>` 下载输出文件
+  - `ConversionTask` 内部调用 `FrameGenerator`, `VideoEncoder`, `ReedSolomonEncoder` 等执行完整流程。
+
+## 其他
+- 测试位于 `tests/test_frame_generator.py`，验证帧生成逻辑。
+
diff --git a/main.py b/main.py
index 43f65e0..918f09c 100644
--- a/main.py
+++ b/main.py
@@ -21,43 +21,6 @@
 from converter.utils import is_nvenc_available, is_qsv_available
 
 
-def setup_enhanced_logging(level=logging.INFO):
-    """
-    Set up enhanced logging with file handler and more detailed formatting
-    """
-    # Create logs directory if it doesn't exist
-    log_dir = BASE_DIR / "logs"
-    log_dir.mkdir(exist_ok=True)
-    
-    # Create log file with timestamp
-    log_file = log_dir / f"app_{time.strftime('%Y%m%d_%H%M%S')}.log"
-    
-    # Configure log format
-    log_format = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
-    formatter = logging.Formatter(log_format)
-    
-    # Set up file handler
-    file_handler = logging.FileHandler(log_file)
-    file_handler.setFormatter(formatter)
-    
-    # Set up console handler with the same format
-    console_handler = logging.StreamHandler()
-    console_handler.setFormatter(formatter)
-    
-    # Configure root logger
-    root_logger = logging.getLogger()
-    root_logger.setLevel(level)
-    root_logger.handlers = []  # Remove any existing handlers
-    root_logger.addHandler(file_handler)
-    root_logger.addHandler(console_handler)
-    
-    # Log system information
-    logger = logging.getLogger(__name__)
-    logger.info(f"System: {sys.platform}")
-    logger.info(f"Python: {sys.version}")
-    logger.info(f"Log file: {log_file}")
-    
-    return log_file
 
 
 def check_dependencies():
@@ -195,8 +158,6 @@ def main():
     except Exception as e:
         logger.error(f"服务器运行错误: {e}", exc_info=True)
     
-    logger.info("文件到视频转换系统已关闭")
-# Add this to setup_enhanced_logging in main.py
 
 def setup_enhanced_logging(level=logging.INFO):
     """
diff --git a/requirements.txt b/requirements.txt
index a589af3..293ca81 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,7 +1,5 @@
 # Core dependencies
 numpy>=1.21.0
-numba>=0.55.1
-opencv-python>=4.5.5.64
 flask>=2.0.1
 flask-socketio>=5.1.1
 Pillow>=8.3.1
@@ -13,7 +11,6 @@ python-magic>=0.4.24
 # GPU acceleration (optional but recommended)
 # Install appropriate version based on CUDA version:
 # For CUDA 12.x:
-cupy-cuda12x>=12.0.0
 # For CUDA 11.x (comment above and uncomment below):
 # cupy-cuda11x>=11.0.0