Data and codes of Indoor mapping and modeling by parsing floor plan images

<b>1-WID512_ROTATE.tar.gz</b>This package is the training and inference data of CVC-FP for Mask RCNN. Please visit https://github.com/facebookresearch/Detectron to check the training and inference guidance.<br><b>5_folds_result.tar.gz</b>This package is results of 5-fold cross validation datasets. The results are stored as shapefiles and named after the name of floor plan images.<br><b>submitted_code.7z &amp; test_data.tar.gz</b>These two packages are the codes and the corresponding test data. Please unpack them and check the guidance of readme.md.

<b>1-WID512_ROTATE.tar.gz</b> 该压缩包为用于掩码区域卷积神经网络（Mask RCNN）的CVC-FP模型训练与推理数据集，请访问 https://github.com/facebookresearch/Detectron 查看训练与推理操作指南。<br><b>5_folds_result.tar.gz</b> 该压缩包包含5折交叉验证数据集的实验结果，结果以形状文件（shapefile）格式存储，且以对应平面图图像的名称命名。<br><b>submitted_code.7z 与 test_data.tar.gz</b> 此二压缩包分别为提交的代码与对应的测试数据集，请解压后查看readme.md中的操作指南。