rapid_table v3.0.0发布了

更新日志

rapid_table v3.0.0 主要更新是支持 batch 推理，模型并没有升级哈！

因为版本号是根据语义化版本号来走的，这次更改了接口的返回值。因此从 v2.0.3 升级到了 v3.0.0。
返回值具体变化如下：

# v2.0.3
class RapidTableOutput:
    img: Optional[np.ndarray] = None
    pred_html: Optional[str] = None
    cell_bboxes: Optional[np.ndarray] = None
    logic_points: Optional[np.ndarray] = None
    elapse: Optional[float] = None

# v3.0.0
class RapidTableOutput:
    imgs: List[np.ndarray] = field(default_factory=list)
    pred_htmls: List[str] = field(default_factory=list)
    cell_bboxes: List[np.ndarray] = field(default_factory=list)
    logic_points: List[np.ndarray] = field(default_factory=list)
    elapse: float = 0.0

重构代码。自己逐渐发现修改代码的水平会随着想法逐渐改变的。这也像改 PPT，永远没有尽头。哈哈！

我深知自己写的代码远没有达到优雅，但是我在努力中，希望大家在这个旅途中，能够收获快乐，玩得开心！

🚀 Features

• support batch inference both model and refacter code by @SWHL in a4fd085
• finished unitable refacter by @SWHL in 4fbba21
• add batch processing for images by @deeperrrr in 6a57308

🐛 Bug Fixes

• fixed issue #126 by @SWHL in 7d18543
• fix path error when inputing a url by @SWHL in 02e0a0e

📚 Documentation

• update README by @SWHL in 03cbe1e
• update README by @SWHL in a0d56d5

🧪 Testing

• adapted batch infer by @SWHL in 9f02fcd

⚙️ Miscellaneous Tasks

• update files by @SWHL in 6bb3e10
• update files by @SWHL in 732c29e

🎉 Contributors

• @SWHL
• @rming
• @deeperrrr

Full Changelog: 3.0.0