chore: merge

.VERSION

@@ -1,4 +1,4 @@
-alpha_assets_url: https://github.com/opendatalab/labelU-Kit/releases/download/v5.3.0-alpha.2/frontend.zip
-alpha_version: v5.3.0-alpha.2
-release_assets_url: https://github.com/opendatalab/labelU-Kit/releases/download/v5.2.1/frontend.zip
-release_version: v5.2.1
+alpha_assets_url: https://github.com/opendatalab/labelU-Kit/releases/download/v5.3.0-alpha.1/frontend.zip
+alpha_version: v5.3.0-alpha.1
+release_assets_url: https://github.com/opendatalab/labelU-Kit/releases/download/v5.3.0/frontend.zip
+release_version: v5.3.0

README.md

@@ -25,8 +25,8 @@ In the realm of video annotation, LabelU showcases impressive processing capabil
 ### Efficient Audio Annotation Tools
 Audio annotation tools are another key feature of LabelU. These tools possess efficient and precise audio analysis capabilities, supporting audio segmentation, audio classification, and audio information extraction. By visualizing complex sound information, LabelU simplifies the audio data processing workflow, aiding in the development of more accurate models.
 
-#### Artificial Intelligence Assisted Labelling
-LabelLLM supports one-click loading of pre-annotated data, which can be refined and adjusted according to actual needs. This feature improves the efficiency and accuracy of annotation.
+### Artificial Intelligence Assisted Labelling
+LabelU supports one-click loading of pre-annotated data, which can be refined and adjusted according to actual needs. This feature improves the efficiency and accuracy of annotation.
 
 
 https://github.com/user-attachments/assets/0fa5bc39-20ba-46b6-9839-379a49f692cf
@@ -54,7 +54,7 @@ https://github.com/user-attachments/assets/0fa5bc39-20ba-46b6-9839-379a49f692cf
 
 1. Install [Miniconda](https://docs.conda.io/en/latest/miniconda.html), Choose the corresponding operating system type and download it for installation.
 
-> **Note：** If your system is MacOS with an Intel chip, please install [Miniconda of intel x86_64](https://repo.anaconda.com/miniconda/)。
+> **Note：** If your system is MacOS with an Intel chip, please install [Miniconda of intel x86_64](https://repo.anaconda.com/miniconda/).
 
 2. After the installation is complete, run the following command in the terminal (you can choose the default 'y' for prompts during the process):
 

README_zh-CN.md

@@ -25,17 +25,17 @@ LabelU为图像标注提供了全面的工具集，包括2D框、语义分割、
 ### 高效的音频标注工具
 音频标注工具是LabelU的另一大特色。该工具具备高效、精准的音频分析能力，支持音频分割、音频分类和音频信息提取。通过将复杂的声音信息直观化展示，LabelU简化了音频数据的处理流程，助力更准确的模型开发。
 
-#### 人工智能辅助标注
-LabelLLM支持预标注数据的一键载入，用户可以根据实际需要对其进行细化和调整。这一特性提高了标注的效率和准确性。
+### 人工智能辅助标注
+LabelU 支持预标注数据的一键载入，用户可以根据实际需要对其进行细化和调整。这一特性提高了标注的效率和准确性。
 
 https://github.com/user-attachments/assets/f90e5a66-ab4d-456e-af4d-e6408a623812
 
 
 ## 特性
 
-- 简易，提供多种图像标注工具，通过简单可视化配置即可标注
-- 灵活，多种工具可自由组合使用，满足大部分图像，视频，音频的标注需求
-- 通用，支持导出多种数据格式，包括 JSON，COCO，MASK
+- 简易，提供多种图像标注工具，通过简单可视化配置即可标注。
+- 灵活，多种工具可自由组合使用，满足大部分图像，视频，音频的标注需求。
+- 通用，支持导出多种数据格式，包括 JSON，COCO，MASK。
 
 ## 快速开始
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "labelu"
-version = '1.0.6-alpha.7'
+version = '1.0.6'
 description = ""
 license = "Apache-2.0"
 authors = ["shenguanlin <[email protected]>"]