{"id":81,"date":"2023-10-15T20:16:45","date_gmt":"2023-10-15T20:16:45","guid":{"rendered":"http:\/\/localhost\/?page_id=81"},"modified":"2024-02-28T16:59:15","modified_gmt":"2024-02-28T16:59:15","slug":"resources","status":"publish","type":"page","link":"http:\/\/localhost\/index.php\/resources\/","title":{"rendered":"Resources"},"content":{"rendered":"\n

File Structure<\/strong><\/h2>\n\n\n\n

In each scenario, excluding the test scenarios, we provide several different rooms. It is noteworthy that rooms with the same prefix are segmented from the same area, and assembling these rooms together can result in a complete area. The point cloud files for each room are stored in the PLY format, using a binary, and contain eight columns of data: ‘x’, ‘y’, ‘z’, ‘red’, ‘green’, ‘blue’, ‘sem’, ‘ins’. The ‘xyz’ are 32-bit floating-point numbers, the range of ‘rgb’ data is 0-255, and ‘sem’ and ‘ins’ use uint16. ‘sem’ represents the semantic label number corresponding to the point, and ‘ins’ represents the instance label number corresponding to the point. It is important to note that for semantic labels of 0 (i.e., points that are not annotated), their ‘ins’ label should also be 0, whereas the ‘ins’ labels for all non-unannotated points are greater than or equal to 1. In other words, if there are no unannotated points in a scene, the instance numbers start from 1; otherwise, they start from 0.<\/p>\n\n\n\n

The table below shows the correspondence between semantic names and semantic labels.<\/p>\n\n\n\n

semantic name<\/strong><\/td>semantic label<\/strong><\/td><\/tr>
Unknown<\/td>0<\/td><\/tr>
Houseplant<\/td>3<\/td><\/tr>
Tree<\/td>4<\/td><\/tr>
Person<\/td>5<\/td><\/tr>
Floor<\/td>9<\/td><\/tr>
Stair<\/td>10<\/td><\/tr>
Ceiling<\/td>11<\/td><\/tr>
Pipe<\/td>12<\/td><\/tr>
Wall<\/td>13<\/td><\/tr>
Pillar<\/td>14<\/td><\/tr>
Window<\/td>15<\/td><\/tr>
Curtain<\/td>16<\/td><\/tr>
Door<\/td>17<\/td><\/tr>
Table<\/td>18<\/td><\/tr>
Chair<\/td>19<\/td><\/tr>
Sofa<\/td>20<\/td><\/tr>
Blackboard<\/td>21<\/td><\/tr>
Monitor<\/td>22<\/td><\/tr>
Bookshelf<\/td>23<\/td><\/tr>
Wardrobe<\/td>24<\/td><\/tr>
Bed<\/td>25<\/td><\/tr>
Reflection noise<\/td>26<\/td><\/tr>
Ghost<\/td>27<\/td><\/tr>
Light<\/td>29<\/td><\/tr>
Tabletop others<\/td>30<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
<\/div>\n\n\n\n
\n

PCAT<\/strong><\/h2>\n\n\n\n

We also provide a point cloud annotation tool named PCAT, which allows for the rapid and convenient annotation of point clouds. Our dataset was annotated using this tool as well. More detailed information about this tool can be obtained by visiting the GitHub repository below.<\/p>\n\n\n\n

Point Cloud Annotation Tool<\/a><\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Evaluation<\/strong><\/h2>\n\n\n\n

Since the labels of our test set are not public, we use the Codabench<\/a> platform to evaluate the predicted results. More detailed information can be obtained by clicking the link below.<\/p>\n\n\n\n

semantic segmentation task<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

File Structure In each scenario, excluding the test scenarios, we provide several different rooms. It is noteworthy that rooms with the same prefix are segmented from the same area, and assembling these rooms together can result in a complete area. The point cloud files for each room are stored in the PLY format, using a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"http:\/\/localhost\/index.php\/wp-json\/wp\/v2\/pages\/81"}],"collection":[{"href":"http:\/\/localhost\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/localhost\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/localhost\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost\/index.php\/wp-json\/wp\/v2\/comments?post=81"}],"version-history":[{"count":34,"href":"http:\/\/localhost\/index.php\/wp-json\/wp\/v2\/pages\/81\/revisions"}],"predecessor-version":[{"id":310,"href":"http:\/\/localhost\/index.php\/wp-json\/wp\/v2\/pages\/81\/revisions\/310"}],"wp:attachment":[{"href":"http:\/\/localhost\/index.php\/wp-json\/wp\/v2\/media?parent=81"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}