编号RGB颜色值16进制颜色码颜色类别(中文)类别(英文)1101010#787878墙wall1801010#B47878建筑;大厦building;edifice363030#06E6E6天空sky4805050#5033地板;地面floor;flooring54003#04C803树tree6101080#787850天花板ceiling7140140140#8C8C8C道路;路线road;route804
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修改config/base/models文件夹下对应的upernet_swin.py将norm_cfg参数中的type由 SyncBN修改为BN 。将num_classes修改为150(可以不修改,我没有修改也没有出什么问题)。 image-20211213141325966 修改config/swin/upernet_swin_tiny_patch4_window7_512x512_160k_ade20k.py的参数。修改_base_,如下图: _base_=[ ...
ade20kclasses颜色词义解析 al/et.a(s).s的颜色 [TOC]iTOL简介大家在看高分文章时,总会惊叹于,为什么人家能做出那么好看而且高大上的系统发育树,而且好看的图也能直接提升文章的档次,冲击高分文章。人家的树不管是从配色还是各种注释信息都让人无可挑剔,而你每次花了半个月时间做的进化树不是被老板嫌弃配色丑,...
修改config/_base_/models文件夹下对应的upernet_swin.py将norm_cfg参数中的type由 SyncBN修改为BN 。将num_classes修改为150(可以不修改,我没有修改也没有出什么问题)。 修改config/swin/upernet_swin_tiny_patch4_window7_512x512_160k_ade20k.py的参数。
num_classes (int): 目标的类数。”EMA EMA(Exponential Moving Average)是指数移动平均值。在深度...
修改config/_base_/models文件夹下对应的upernet_swin.py将norm_cfg参数中的type由 SyncBN修改为BN 。将num_classes修改为150(可以不修改,我没有修改也没有出什么问题)。 修改config/swin/upernet_swin_tiny_patch4_window7_512x512_160k_ade20k.py的参数。
On average there are 19.5 instances and 10.5 object classes per image. Based on ADE20K, we construct benchmarks for scene parsing and instance segmentation. We provide baseline performances on both of the benchmarks and re-implement state-of-the-art models for open source. We further evaluate...
the 150 categories, there are 35 stuff classes (i.e., wall, sky, road) and 115 discrete object classes (i.e., car, person, ta- ble). The annotated pixels of the 150 classes occupy 92.75% of all the pixels of the dataset, where the stuff classes occupy 60.92%, and discrete object...
A scene parsing benchmark is built upon the ADE20K with 150 object and stuff classes included. Several segmentation baseline models are evaluated on the benchmark. A novel network design called Cascade Segmentation Module is proposed to parse a scene into stuff, objects, and object parts in a ...