From f3f5467f464a1a261cc91f16e60877a668caf282 Mon Sep 17 00:00:00 2001 From: whs Date: Fri, 8 Jul 2022 12:07:45 +0800 Subject: [PATCH] Add inference and evaluation scripts for demo of segmentation (#1271) --- .../semantic_segmentation/README.md | 141 +++++++++++++- .../data/cityscape_demo.jpg | Bin 0 -> 2023611 bytes .../semantic_segmentation/data/human_demo.jpg | Bin 0 -> 211963 bytes .../semantic_segmentation/eval.py | 129 +++++++++++++ .../semantic_segmentation/infer.py | 182 ++++++++++++++++++ 5 files changed, 445 insertions(+), 7 deletions(-) create mode 100644 example/auto_compression/semantic_segmentation/data/cityscape_demo.jpg create mode 100644 example/auto_compression/semantic_segmentation/data/human_demo.jpg create mode 100644 example/auto_compression/semantic_segmentation/eval.py create mode 100644 example/auto_compression/semantic_segmentation/infer.py diff --git a/example/auto_compression/semantic_segmentation/README.md b/example/auto_compression/semantic_segmentation/README.md index adddcc1a..aa3842eb 100644 --- a/example/auto_compression/semantic_segmentation/README.md +++ b/example/auto_compression/semantic_segmentation/README.md @@ -8,7 +8,8 @@ - [3.2 准备数据集](#32-准备数据集) - [3.3 准备预测模型](#33-准备预测模型) - [3.4 自动压缩并产出模型](#34-自动压缩并产出模型) -- [4.预测部署](#4预测部署) +- [4.评估精度](#4评估精度) +- [5.预测部署](#5预测部署) - [5.FAQ](5FAQ) ## 1.简介 @@ -23,13 +24,13 @@ |:-----:|:-----:|:----------:|:---------:| :------:|:------:|:------:| | PP-HumanSeg-Lite | Baseline | 92.87 | 56.363 |-| - | [model](https://paddleseg.bj.bcebos.com/dygraph/ppseg/ppseg_lite_portrait_398x224_with_softmax.tar.gz) | | PP-HumanSeg-Lite | 非结构化稀疏+蒸馏 | 92.35 | 37.712 |-| [config](./configs/pp_human/pp_human_sparse.yaml)| - | -| PP-HumanSeg-Lite | 量化+蒸馏 | 92.84 | 49.656 |-| [config](./configs/pp_human/pp_human_qat.yaml) | - | +| PP-HumanSeg-Lite | 量化+蒸馏 | 92.84 | 49.656 |-| [config](./configs/pp_human/pp_human_qat.yaml) | [model](https://bj.bcebos.com/v1/paddle-slim-models/act/PaddleSeg/qat/pp_humanseg_qat.zip) (非最佳) | | PP-Liteseg | Baseline | 77.04| - | 1.425| - |[model](https://paddleseg.bj.bcebos.com/tipc/easyedge/RES-paddle2-PPLIteSegSTDC1.zip)| -| PP-Liteseg | 量化训练 | 76.93 | - | 1.158|[config](./configs/pp_liteseg/pp_liteseg_qat.yaml) | - | +| PP-Liteseg | 量化训练 | 76.93 | - | 1.158|[config](./configs/pp_liteseg/pp_liteseg_qat.yaml) | [model](https://bj.bcebos.com/v1/paddle-slim-models/act/PaddleSeg/qat/pp-liteseg.zip) | | HRNet | Baseline | 78.97 | - |8.188|-| [model](https://paddleseg.bj.bcebos.com/tipc/easyedge/RES-paddle2-HRNetW18-Seg.zip)| -| HRNet | 量化训练 | 78.90 | - |5.812| [config](./configs/hrnet/hrnet_qat.yaml) | - | +| HRNet | 量化训练 | 78.90 | - |5.812| [config](./configs/hrnet/hrnet_qat.yaml) | [model](https://bj.bcebos.com/v1/paddle-slim-models/act/PaddleSeg/qat/hrnet.zip) | | UNet | Baseline | 65.00 | - |15.291|-| [model](https://paddleseg.bj.bcebos.com/tipc/easyedge/RES-paddle2-UNet.zip) | -| UNet | 量化训练 | 64.93 | - |10.228| [config](./configs/unet/unet_qat.yaml) | - | +| UNet | 量化训练 | 64.93 | - |10.228| [config](./configs/unet/unet_qat.yaml) | [model](https://bj.bcebos.com/v1/paddle-slim-models/act/PaddleSeg/qat/unet.zip) | | Deeplabv3-ResNet50 | Baseline | 79.90 | -|12.766| -| [model](https://paddleseg.bj.bcebos.com/tipc/easyedge/RES-paddle2-Deeplabv3-ResNet50.zip)| | Deeplabv3-ResNet50 | 量化训练 | 78.89 | - |8.839|[config](./configs/deeplabv3/deeplabv3_qat.yaml) | - | @@ -151,10 +152,136 @@ python -m paddle.distributed.launch run.py --config_path='./configs/pp_humanseg/ 压缩完成后会在`save_dir`中产出压缩好的预测模型,可直接预测部署。 -## 4.预测部署 +## 4.评估精度 + +本小节以人像分割模型和小数据集为例, 介绍如何在测试集上评估压缩后的模型. + +下载经过量化训练压缩后的推理模型: +``` +wget https://bj.bcebos.com/v1/paddle-slim-models/act/PaddleSeg/qat/pp_humanseg_qat.zip +unzip pp_humanseg_qat.zip +``` + +通过以下命令下载人像分割示例数据: + +```shell +cd ./data +python download_data.py mini_humanseg +cd - + +``` + +执行以下命令评估模型在测试集上的精度: + +``` +python eval.py \ +--model_dir ./pp_humanseg_qat \ +--model_filename model.pdmodel \ +--params_filename model.pdiparams \ +--dataset_config configs/dataset/humanseg_dataset.yaml + +``` + +## 5.预测部署 + +本小节以人像分割为例, 介绍如何使用Paddle Inference推理库执行压缩后的模型. + +### 5.1 安装推理库 + +请参考该链接安装Python版本的PaddleInference推理库: [推理库安装教程](https://www.paddlepaddle.org.cn/inference/user_guides/download_lib.html#python) + +### 5.2 准备模型和数据 + +从 [2.Benchmark](#2Benchmark) 的表格中获得压缩前后的推理模型的下载链接,执行以下命令下载并解压推理模型: + +下载Float32数值类型的模型: +``` +wget https://paddleseg.bj.bcebos.com/dygraph/ppseg/ppseg_lite_portrait_398x224_with_softmax.tar.gz +tar -xzf ppseg_lite_portrait_398x224_with_softmax.tar.gz +mv ppseg_lite_portrait_398x224_with_softmax pp_humanseg_fp32 +``` + +下载经过量化训练压缩后的推理模型: +``` +wget https://bj.bcebos.com/v1/paddle-slim-models/act/PaddleSeg/qat/pp_humanseg_qat.zip +unzip pp_humanseg_qat.zip +``` + +准备好需要处理的图片,这里直接使用人像示例图片 `./data/human_demo.jpg`。 + +### 5.3 执行推理 + +执行以下命令,直接使用飞桨框架的原生推理(仅支持Float32, 无需依赖TensorRT): + +``` +export CUDA_VISIBLE_DEVICES=0 +python infer.py \ +--image_file "./data/human_demo.jpg" \ +--model_path "./pp_humanseg_fp32/model.pdmodel" \ +--params_path "./pp_humanseg_fp32/model.pdiparams" \ +--save_file "./humanseg_result_fp32.png" \ +--dataset "human" \ +--benchmark True \ +--precision "fp32" +``` + +执行以下命令,使用Int8推理: + +``` +export CUDA_VISIBLE_DEVICES=0 +python infer.py \ +--image_file "./data/human_demo.jpg" \ +--model_path "./pp_humanseg_qat/model.pdmodel" \ +--params_path "./pp_humanseg_qat/model.pdiparams" \ +--save_file "./humanseg_result_qat.png" \ +--dataset "human" \ +--benchmark True \ +--use_trt True \ +--precision "int8" +``` + + + + + + + + + + + + + + + + + + +
+原始图片 + + +
+FP32推理结果 + + +
+Int8推理结果 + + +
+ +执行以下命令查看更多关于 `infer.py` 使用说明: + +``` +python infer.py --help +``` + + +### 5.4 更多部署教程 - [Paddle Inference Python部署](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.5/docs/deployment/inference/python_inference.md) - [Paddle Inference C++部署](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.5/docs/deployment/inference/cpp_inference.md) - [Paddle Lite部署](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.5/docs/deployment/lite/lite.md) -## 5.FAQ +## 6.FAQ diff --git a/example/auto_compression/semantic_segmentation/data/cityscape_demo.jpg b/example/auto_compression/semantic_segmentation/data/cityscape_demo.jpg new file mode 100644 index 0000000000000000000000000000000000000000..de0b21d160edc2dd4c7c8d553a5a5f090b4bfd5b GIT binary patch literal 2023611 zcmW(+1ymH@+n%M727h#?NQbn5xJrj0Al*wzF0eF|j>u4#HJfeRD004=q3Ro8a2p%qR00OLs=Gsn>>VJ{_ z3(Xe*P@70}YlZs|gP^*~O2GFK#_flI)kZ~E69D|V0RSHUFyx^Nz6Ai@!T_*i2>>#g z06^oO+ww;4;Rc?yx-uBR{O|bOUXuFIL+Gwz1bt{#{{MXa+gbi$IG_rC@z!^)@Xoo$ 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