From 42a53f09285ae751de8b5e33f35d4de57bce70b6 Mon Sep 17 00:00:00 2001 From: LutaoChu <30695251+LutaoChu@users.noreply.github.com> Date: Fri, 29 Nov 2019 11:21:29 +0800 Subject: [PATCH] add gray2psedu_color doc + adjust the place of function get_color_map (#105) * modify label tool * support color label --- docs/data_prepare.md | 36 ++++++++++++++++++++++++++++++ docs/imgs/annotation/image-11.png | Bin 0 -> 445445 bytes pdseg/__init__.py | 1 + pdseg/tools/gray2pseudo_color.py | 23 ++++++++++++++++++- pdseg/tools/jingling2seg.py | 2 +- pdseg/tools/labelme2seg.py | 2 +- pdseg/vis.py | 23 +------------------ 7 files changed, 62 insertions(+), 25 deletions(-) create mode 100644 docs/imgs/annotation/image-11.png diff --git a/docs/data_prepare.md b/docs/data_prepare.md index 50864a73..89f036f8 100644 --- a/docs/data_prepare.md +++ b/docs/data_prepare.md @@ -2,6 +2,42 @@ ## 数据标注 +### 标注协议 +PaddleSeg采用单通道的标注图片,每一种像素值代表一种类别,类别从0开始,例如0,1,2,3表示有4种类别。 + +一般的分割库使用单通道灰度图作为标注图片,往往显示出来是全黑的效果。灰度标注图的弊端: +1. 对图像标注后,无法直接观察标注是否正确。 +2. 模型测试过程无法直接判断分割的实际效果。 + +**PaddleSeg支持伪彩色图作为标注图片,在原来的单通道图片基础上,注入调色板。在基本不增加图片大小的基础上,却可以显示出彩色的效果。** + +同时PaddleSeg也兼容灰度图标注,用户原来的灰度数据集可以不做修改,直接使用。 +![](./imgs/annotation/image-11.png) + +### 灰度标注转换为伪彩色标注 +如果用户需要转换成伪彩色标注图,可使用我们的转换工具。适用于以下两种常见的情况: +1. 从指定灰度标注所在的目录读取标注图片 +```buildoutcfg +python pdseg/tools/gray2pseudo_color.py +``` + +|参数|用途| +|-|-| +|dir_or_file|指定灰度标注所在目录| +|output_dir|彩色标注图片的输出目录| + +2. 从已有文件列表中读取标注图片 +```buildoutcfg +python pdseg/tools/gray2pseudo_color.py --dataset_dir --file_separator +``` +|参数|用途| +|-|-| +|dir_or_file|指定文件列表路径| +|output_dir|彩色标注图片的输出目录| +|--dataset_dir|数据集所在根目录| +|--file_separator|文件列表分隔符| + +### 标注教程 用户需预先采集好用于训练、评估和测试的图片,然后使用数据标注工具完成数据标注。 PddleSeg已支持2种标注工具:LabelMe、精灵数据标注工具。标注教程如下: diff --git a/docs/imgs/annotation/image-11.png b/docs/imgs/annotation/image-11.png new file mode 100644 index 0000000000000000000000000000000000000000..2e3b6ff1f1ffd33fb57a35b547bcce31ca248e19 GIT binary patch literal 445445 zcma&ObySpH+c!)~gBTzUA}}=44T7`?h``Vd(m8Yp3P>AtBLXTz3>`z4f;0@>rPAH< z?YXY^ey;oZ-uI7dtywM?YdN0h-p4+UUu_~apDK|MQWIieV34RNKYoURf#->Vfu)Rp z1NeR@-917!b15fFM>bY*`9krJLL9D)F(=h076`^q(>8a){w6Tuk%K zTwM4$!XnqRbMu&khXEs=;^WQNe@xYr`pC;MUbbmIwIR~ihh#riqKxMKhKccA{z|;p z{dC0WRXGxa`{t_UNQQW?)JTS8ueYtm{q{ypdhD07=KQ!{Fy6|14D#dQyxS+Qr8pVd zy|%A;tTdUJ*kzT6Bv?Ju*Pk4TL17SoxPH%en{8`BPN*-b(h!3 zxN9f<)Q@#io`a86Zl6ZvRg4}sT3g|%rX zEb!n(oOW#!u}T)L;tDNMc{|IQm|XT7F&o0B9hROq`)@aU&6VBP3KhD3xbcXHTg8P@ zk%!D%A|C{WK#ZPwM78L-cX2J6_IFwMJ%9=5KwF zOjP^DPRx_6(nHkqM!dCfwzIYQFZ>oyhWRNg-UvtUkxVTKJ;uX(n7pl` zK4h#+_-*pf-`w~joA#F83QPYH>08bfY}`kSnzRWx`EruVIK{6~@+_KE&vCb2QRigm zY7hGU#>qyi9Bp!@niO^#StU)3D^WGgl_$-ICWE3(T&Z z0rX9T^WmMlYCc$)_*7btD{pFdVD8Duz4Lj1OU_vI&f*i+7x}ceq@O73BHz4wxN`eO zM6UVId)hGqT@1Iw%*~T5bSmEow_48`!WoJgdLx07+afP%y3`l;eC{F%=5QIJ zY?nNC6;5YQnNK}VX->&6m9SECRLbt3-dZA%l*7yobxm5wK^qV~MP3~i1 zH!(zl&&!EN$fvYSPv2Xq+;~9w>;ZdbW!!TW`}@X>QV$wgK760DQref}PevvgsYoj} zJ*K}O{PCMs47*7JPSl(7MEAGDDs@V}YWdHOzHE>B*ptFIt3syK1D{+$6h82Ouuw+i zqm*^js#Is+`mv}dpgtVGHMyV3Ys?fVcV2&(Lae1|+NBoGUSUvRu$J&6=f`UWl3g9#9_; 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newline at end of file diff --git a/pdseg/tools/gray2pseudo_color.py b/pdseg/tools/gray2pseudo_color.py index b3850491..59555783 100644 --- a/pdseg/tools/gray2pseudo_color.py +++ b/pdseg/tools/gray2pseudo_color.py @@ -8,7 +8,6 @@ import os.path as osp import sys import numpy as np from PIL import Image -from pdseg.vis import get_color_map_list def parse_args(): @@ -26,6 +25,28 @@ def parse_args(): return parser.parse_args() +def get_color_map_list(num_classes): + """ Returns the color map for visualizing the segmentation mask, + which can support arbitrary number of classes. + Args: + num_classes: Number of classes + Returns: + The color map + """ + color_map = num_classes * [0, 0, 0] + for i in range(0, num_classes): + j = 0 + lab = i + while lab: + color_map[i * 3] |= (((lab >> 0) & 1) << (7 - j)) + color_map[i * 3 + 1] |= (((lab >> 1) & 1) << (7 - j)) + color_map[i * 3 + 2] |= (((lab >> 2) & 1) << (7 - j)) + j += 1 + lab >>= 3 + + return color_map + + def gray2pseudo_color(args): """将灰度标注图片转换为伪彩色图片""" input = args.dir_or_file diff --git a/pdseg/tools/jingling2seg.py b/pdseg/tools/jingling2seg.py index 9c1d6636..28bce3b0 100644 --- a/pdseg/tools/jingling2seg.py +++ b/pdseg/tools/jingling2seg.py @@ -12,7 +12,7 @@ import numpy as np import PIL.Image import labelme -from pdseg.vis import get_color_map_list +from gray2pseudo_color import get_color_map_list def parse_args(): diff --git a/pdseg/tools/labelme2seg.py b/pdseg/tools/labelme2seg.py index be1c99ee..6ae3ad3a 100755 --- a/pdseg/tools/labelme2seg.py +++ b/pdseg/tools/labelme2seg.py @@ -12,7 +12,7 @@ import numpy as np import PIL.Image import labelme -from pdseg.vis import get_color_map_list +from gray2pseudo_color import get_color_map_list def parse_args(): diff --git a/pdseg/vis.py b/pdseg/vis.py index 9fc349a3..fc524d91 100644 --- a/pdseg/vis.py +++ b/pdseg/vis.py @@ -34,6 +34,7 @@ from utils.config import cfg from reader import SegDataset from models.model_builder import build_model from models.model_builder import ModelPhase +from tools.gray2pseudo_color import get_color_map_list def parse_args(): @@ -73,28 +74,6 @@ def makedirs(directory): os.makedirs(directory) -def get_color_map_list(num_classes): - """ Returns the color map for visualizing the segmentation mask, - which can support arbitrary number of classes. - Args: - num_classes: Number of classes - Returns: - The color map - """ - color_map = num_classes * [0, 0, 0] - for i in range(0, num_classes): - j = 0 - lab = i - while lab: - color_map[i * 3] |= (((lab >> 0) & 1) << (7 - j)) - color_map[i * 3 + 1] |= (((lab >> 1) & 1) << (7 - j)) - color_map[i * 3 + 2] |= (((lab >> 2) & 1) << (7 - j)) - j += 1 - lab >>= 3 - - return color_map - - def to_png_fn(fn): """ Append png as filename postfix -- GitLab