Merge branch 'main' into refactor/term

Author: MistEO

docs/en_us/1.1-QuickStarted.md

@@ -162,10 +162,8 @@ If needed, you can also fine-tune the official pre-trained models of PaddleOCR y
 
 ## Debug
 
-There are currently two ways: [MaaDebugger](https://github.com/MaaXYZ/MaaDebugger) and [VSCode plugin](https://marketplace.visualstudio.com/items?itemName=nekosu.maa-support).
-
-### MaaDebugger
-
+- Use [MaaDebugger](https://github.com/MaaXYZ/MaaDebugger).
+- Use [VSCode plugin](https://marketplace.visualstudio.com/items?itemName=nekosu.maa-support).
 - If you use MaaPiCli, the `config/maa_option.json` file will be generated in the same directory, including:
 
   - `logging`: Save the log and generate `debug/maa.log`. Default true.
@@ -176,13 +174,9 @@ There are currently two ways: [MaaDebugger](https://github.com/MaaXYZ/MaaDebugge
 
 - If you integrate it yourself, you can enable debugging options through the `Toolkit.init_option` / `MaaToolkitConfigInitOption` interface. The generated json file is the same as above.
 
-### VSCode Plugin
-
-Compared to MaaDebugger, which focuses on debugging, the current VSCode plugin also has many functions such as screenshots and code completion. The specific content can be explored through the [official website](https://marketplace.visualstudio.com/items?itemName=nekosu.maa-support) and actual experience.
-
 ## Run
 
-You can integrate MaaFramework using MaaPiCli (Generic CLI) or by writing integration code yourself.
+You can integrate MaaFramework using Generic CLI (MaaPiCli), third-party Generic GUI (MFAWPF, etc) or by writing integration code yourself.
 
 ### Using MaaPiCli
 

docs/zh_cn/1.1-快速开始.md

@@ -162,11 +162,9 @@ my_resource
 
 ## 调试
 
-目前有两种方式：[MaaDebugger](https://github.com/MaaXYZ/MaaDebugger) 以及 [VSCode 插件](https://marketplace.visualstudio.com/items?itemName=nekosu.maa-support)。
-
-### MaaDebugger
-
-- 若使用 MaaPiCli ，会在同目录下生成 `config/maa_option.json` 文件，其中：
+- 使用 [MaaDebugger](https://github.com/MaaXYZ/MaaDebugger)。
+- 使用 [VSCode 插件](https://marketplace.visualstudio.com/items?itemName=nekosu.maa-support)。
+- 使用 MaaPiCli ，会在同目录下生成 `config/maa_option.json` 文件，其中：
 
   - `logging`: 保存日志，会生成 `debug/maa.log`。默认 true 。
   - `recording`: 保存录像功能，会保存运行期间所有的截图及操作数据，可使用 `DbgController` 进行复现调试。默认 false 。
@@ -176,13 +174,9 @@ my_resource
 
 - 若自行集成，可通过 `Toolkit.init_option` / `MaaToolkitConfigInitOption` 接口开启调试选项。生成的 json 文件同上。
 
-### VSCode 插件
-
-相比专注于调试的 MaaDebugger，目前 VSCode 插件还有截图、代码补全等多种功能，具体内容可通过 [官网](https://marketplace.visualstudio.com/items?itemName=nekosu.maa-support) 和实际体验探索。
-
 ## 运行
 
-使用 MaaPiCli（通用 CLI）或者 自行编写集成代码
+使用 通用 CLI（MaaPiCli）、第三方通用 GUI（例如 MFAWPF 等）或者 自行编写集成代码
 
 ### 使用 MaaPiCli
 

source/MaaFramework/Task/Component/Recognizer.cpp

@@ -329,7 +329,7 @@ RecoResult Recognizer::custom_recognize(const MAA_VISION_NS::CustomRecognitionPa
                         .draws = std::move(analyzer).draws() };
 }
 
-cv::Rect Recognizer::get_roi(const MAA_VISION_NS::Target roi)
+cv::Rect Recognizer::get_roi(const MAA_VISION_NS::Target& roi)
 {
     if (!tasker_) {
         LogError << "tasker is null";

source/MaaFramework/Task/Component/Recognizer.h

@@ -33,7 +33,7 @@ class Recognizer
     RecoResult nn_detect(const MAA_VISION_NS::NeuralNetworkDetectorParam& param, const std::string& name);
     RecoResult custom_recognize(const MAA_VISION_NS::CustomRecognitionParam& param, const std::string& name);
 
-    cv::Rect get_roi(const MAA_VISION_NS::Target roi);
+    cv::Rect get_roi(const MAA_VISION_NS::Target& roi);
     void save_draws(const std::string& node_name, const RecoResult& result) const;
     void show_hit_draw(const cv::Rect& box, const std::string& node_name, MaaRecoId uid) const;