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FastDeploy/examples/vision/detection/yolov7/quantize/python
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yunyaoXYY b0663209f6 Add Examples to deploy quantized models (#342) 
* Add PaddleOCR Support

* Add PaddleOCR Support

* Add PaddleOCRv3 Support

* Add PaddleOCRv3 Support

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Add PaddleOCRv3 Support

* Add PaddleOCRv3 Supports

* Add PaddleOCRv3 Suport

* Fix Rec diff

* Remove useless functions

* Remove useless comments

* Add PaddleOCRv2 Support

* Add PaddleOCRv3 & PaddleOCRv2 Support

* remove useless parameters

* Add utils of sorting det boxes

* Fix code naming convention

* Fix code naming convention

* Fix code naming convention

* Fix bug in the Classify process

* Imporve OCR Readme

* Fix diff in Cls model

* Update Model Download Link in Readme

* Fix diff in PPOCRv2

* Improve OCR readme

* Imporve OCR readme

* Improve OCR readme

* Improve OCR readme

* Imporve OCR readme

* Improve OCR readme

* Fix conflict

* Add readme for OCRResult

* Improve OCR readme

* Add OCRResult readme

* Improve OCR readme

* Improve OCR readme

* Add Model Quantization Demo

* Fix Model Quantization Readme

* Fix Model Quantization Readme

* Add the function to do PTQ quantization

* Improve quant tools readme

* Improve quant tool readme

* Improve quant tool readme

* Add PaddleInference-GPU for OCR Rec model

* Add QAT method to fastdeploy-quantization tool

* Remove examples/slim for now

* Move configs folder

* Add Quantization Support for Classification Model

* Imporve ways of importing preprocess

* Upload YOLO Benchmark on readme

* Upload YOLO Benchmark on readme

* Upload YOLO Benchmark on readme

* Improve Quantization configs and readme

* Add support for multi-inputs model

* Add backends and params file for YOLOv7

* Add quantized model deployment support for YOLO series

* Fix YOLOv5 quantize readme

* Fix YOLO quantize readme

* Fix YOLO quantize readme

* Improve quantize YOLO readme

* Improve quantize YOLO readme

* Improve quantize YOLO readme

* Improve quantize YOLO readme

* Improve quantize YOLO readme

* Fix bug, change Fronted to ModelFormat

* Change Fronted to ModelFormat

* Add examples to deploy quantized paddleclas models

* Fix readme

* Add quantize Readme

* Add quantize Readme

* Add quantize Readme

* Modify readme of quantization tools

* Modify readme of quantization tools

* Improve quantization tools readme

* Improve quantization readme

* Improve PaddleClas quantized model deployment  readme

* Add PPYOLOE-l quantized deployment examples

* Improve quantization tools readme
2022-10-14 13:35:45 +08:00
..
infer.py
Add Examples to deploy quantized models (#342)
2022-10-14 13:35:45 +08:00
README.md
Add Examples to deploy quantized models (#342)
2022-10-14 13:35:45 +08:00

README.md

YOLOv7量化模型 Python部署示例

本目录下提供的infer.py,可以帮助用户快速完成YOLOv7量化模型在CPU/GPU上的部署推理加速.

部署准备

FastDeploy环境准备

量化模型准备

    1. 用户可以直接使用由FastDeploy提供的量化模型进行部署.
    1. 用户可以使用FastDeploy提供的一键模型量化工具,自行进行模型量化, 并使用产出的量化模型进行部署.

以量化后的YOLOv7模型为例, 进行部署

#下载部署示例代码
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd examples/vision/detection/yolov7/quantize/python

#下载FastDeloy提供的yolov7量化模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/yolov7_quant.tar
tar -xvf yolov7_quant.tar
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg

# 在CPU上使用Paddle-Inference推理量化模型
python infer.py --model yolov7_quant --image 000000014439.jpg --device cpu --backend paddle
# 在GPU上使用TensorRT推理量化模型
python infer.py --model yolov7_quant --image 000000014439.jpg --device gpu --backend trt