[Other] Remove useless comments in PaddleSeg quantize example. (#735)

* 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

Co-authored-by: Jason <jiangjiajun@baidu.com>
This commit is contained in:
yunyaoXYY
2022-11-29 10:53:30 +08:00
committed by GitHub
parent ef28af7807
commit cfb0a983ea
2 changed files with 1 additions and 25 deletions
@@ -1,5 +1,5 @@
# PaddleSeg 量化模型 C++部署示例
本目录下提供的`infer.cc`,可以帮助用户快速完成PaddleSeg量化模型在CPU/GPU上的部署推理加速.
本目录下提供的`infer.cc`,可以帮助用户快速完成PaddleSeg量化模型在CPU上的部署推理加速.
## 部署准备
### FastDeploy环境准备