[Doc] Fix quantize readme (#737)

* Imporve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Add Initialize function to PP-OCR

* Add Initialize function to PP-OCR

* Add Initialize function to PP-OCR

* Make all the model links come from PaddleOCR

* Improve OCR readme

* Improve OCR readme

* Improve OCR readme

* Improve OCR readme

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add comments to create API docs

* Improve OCR comments

* Rename OCR and add comments

* Make sure previous python example works

* Make sure previous python example works

* Fix Rec model bug

* Fix Rec model bug

* Fix rec model bug

* Add SetTrtMaxBatchSize function for TensorRT

* Add SetTrtMaxBatchSize Pybind

* Add set_trt_max_batch_size python function

* Set TRT dynamic shape in PPOCR examples

* Set TRT dynamic shape in PPOCR examples

* Set TRT dynamic shape in PPOCR examples

* Fix PPOCRv2 python example

* Fix PPOCR dynamic input shape bug

* Remove useless code

* Fix PPOCR bug

* Remove useless comments  in PaddleSeg example

* Fix quantize docs readme

Co-authored-by: Jason <jiangjiajun@baidu.com>

docs/cn/quantize.md

@@ -27,7 +27,7 @@ FastDeploy基于PaddleSlim的Auto Compression Toolkit(ACT), 给用户提供了
 
 ### 使用FastDeploy一键模型自动化压缩工具来量化模型
 FastDeploy基于PaddleSlim的Auto Compression Toolkit(ACT), 给用户提供了一键模型自动化压缩的工具，请参考如下文档进行一键模型自动化压缩。
-- [FastDeploy 一键模型自动化压缩](../../tools/auto_compression/)
+- [FastDeploy 一键模型自动化压缩](../../tools/common_tools/auto_compression/)
 当用户获得产出的压缩模型之后，即可以使用FastDeploy来部署压缩模型。