MindOCR v0.3.0

1. New MindOCR version adapted to MindSpore 2.2
2. Add New Models
   YOLOv8 nano-based layout analysis algorithm
   LayoutXLM SER
   VI-LayoutXLM SER
   PP-OCRv3 DBNet and SVTR
3. Offline Inference
   Support YOLOv8 nano-based layout analysis on Ascend 310
   Support PP-OCRv4 (third-party model) text detection and recognition on Ascend 310
4. Support Multi-specification Ascend 910
   DBNet ResNet-50
   DBNet++ ResNet-50
   CRNN VGG7
   SVTR-Tiny
   FCENet
   ABINet
5. Bug fixes
   [PR#587] Fix the performance degradation issues on PyNative mode
   [PR#601] Fix the layout issues of visualization results when the text is vertical
   [PR#618] Avoid loading ckpt abundantly by revise yaml file of DBNet
   [PR#620] Fix the precision issues of PP-OCRv3 offline inference
   [PR#622] Fix some error URL address on the readme
   [PR#627] Fix the bug that CPU usage is too high in some offline inference scenarios