From 8d911a28522fed62c0371db94d477e31f1efc54e Mon Sep 17 00:00:00 2001 From: joey12300 <136876878@qq.com> Date: Wed, 23 Oct 2019 21:09:25 +0800 Subject: [PATCH] add the usage of visualize.py --- inference/README.md | 6 ++---- inference/docs/demo.jpg | Bin 0 -> 2260653 bytes inference/docs/demo_jpg.png | Bin 0 -> 23870 bytes inference/docs/vis.md | 30 ++++++++++++++++++++++++++++++ inference/docs/vis_result.png | Bin 0 -> 51745 bytes 5 files changed, 32 insertions(+), 4 deletions(-) create mode 100644 inference/docs/demo.jpg create mode 100644 inference/docs/demo_jpg.png create mode 100644 inference/docs/vis.md create mode 100644 inference/docs/vis_result.png diff --git a/inference/README.md b/inference/README.md index 5e65246d..84138aa0 100644 --- a/inference/README.md +++ b/inference/README.md @@ -22,7 +22,7 @@ inference ├── images │ └── humanseg # 示例人像分割模型测试图片目录 ├── tools -│ └── visualize.py # 示例人像分割模型结果可视化脚本 +│ └── visualize.py # 示例分割模型结果可视化脚本 ├── docs | ├── linux_build.md # Linux 编译指南 | ├── windows_vs2015_build.md # windows VS2015编译指南 @@ -128,9 +128,7 @@ D:\projects\PaddleSeg\inference\build\Release>demo.exe --conf=D:\\projects\\Padd | input_dir | 需要预测的图片目录 | -配置文件说明请参考上一步,样例程序会扫描input_dir目录下的所有图片,并生成对应的预测结果图片: - -文件`demo.jpg`预测的结果存储在`demo_jpg.png`中,可视化结果在`demo_jpg_scoremap.png`中, 原始尺寸的预测结果在`demo_jpg_recover.png`中。 +配置文件说明请参考上一步,样例程序会扫描input_dir目录下的所有图片,并生成对应的预测结果。图像分割会对`demo.jpg`的每个像素进行分类,其预测的结果保存在`demo_jpg.png`中。分类预测结果的图不能直接看到效果,必须经过可视化处理。对于二分类的图像分割模型,样例程序自动将预测结果转换成可视化结果,保存在`demo_jpg_scoremap.png`中, 原始尺寸的预测结果在`demo_jpg_recover.png`中,如下图。对于**多分类**的图像分割模型,请参考[可视化脚本使用方法](./docs/vis.md)。 输入原图 ![avatar](images/humanseg/demo2.jpeg) diff --git a/inference/docs/demo.jpg b/inference/docs/demo.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8e5f2157e2e5ae9628e764ef3585461fc50841fd GIT binary patch literal 2260653 zcmV)YK&-!sP)Px#AY({UO#lFTCIA3{ga82g0001h=l}q9FaQARU;qF* zm;eA5aGbhPJOBUy24YJ`L;(K){{a7>y{D4^000SaNLh0L002k;002k;M#*bF004jh 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+``` +该脚本中第一个参数为保存预测结果的图片的路径,第二个参数为可视化后的效果图路径。 + +**可视化结果展示:** + +以下以cityscape模型的预测结果进行展示。 + +原图(`demo.jpg`): +![avatar](demo.jpg) + +预测结果图(`demo_jpg.png`): +![avatar](demo_jpg.png) + +效果图(`vis_result.png`): +![avatar](vis_result.png) + diff --git a/inference/docs/vis_result.png b/inference/docs/vis_result.png new file mode 100644 index 0000000000000000000000000000000000000000..0b342a3d4d90bdf088c06880164b9ccf9b2cbec1 GIT binary patch literal 51745 zcmbTe30%$j_dh8%)PZH30q2} zt&gnOo)e$=!|c6tS`v637AtNpd>8Qh3YFU89)rI^oqlrsNn?%tf~T&Rt)>|_*(WT} zKldPb;&BCDYr-<~oYdnA`l0(x-z61hif&kcDUhp=FFYb=%u~&|y*zQ9prYLVNN3M7 z^Yn3=DK{UC9;+!=lYctGzhk_n`;<77ySys*?BGo;| zYIgcR2u?nsz*C+6%bRb!D(o|7Stf5+FHj86{8i1E=Q5>0kq$EsFIlr|k$>uV&CXR= zHbK)p`9bhpxPn_&XrCE8VA(#&vZs<|!z0x@W?Qv5MXKK#N0(fJOP(q5QIF>?nZ_=e zBEDqGF?LBEtCj_k>L<0WR0MK8Um3_xoMqMGRi^nUUt7vA+39;ZW5p6}DKbiKy>_XU ze9bcxY30Z_wXr7BPOA^L-LpR;S5t^cNg+~^`%MqT6=ue=NG(nfM=F;hm6BZI^M0B^ z*O!-u8uN@A@|8^j9t5k;uxdFq;HU!eQRTD5N4>uMruGvPX@Q*itvA~dw{H*b-G6DQ 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