update v2 and benchmark challenge

changelog.md

@@ -0,0 +1,36 @@
+
+# ScanNet Changelog
+
+
+## ScanNet v2 (2018-06-11):
+- *New 2D/3D benchmark challenge for ScanNet* : Our [ScanNet Benchmark](http://kaldir.vc.in.tum.de/scannet_benchmark) offers both 2D and 3D semantic label and instance prediction tasks, as well as a scene type classification task. 100 new scans are now part of the evaluation test set!
+- *New semantic label and instance annotations* : Updated annotations for all 1513 original ScanNet scans, with approx 90% surface coverage. Segments that have been annotated as `remove` are removed from the reconstructed meshes. 
+See a colored legend for all nyu40 labels [here](http://kaldir.vc.in.tum.de/scannet_benchmark/img/legend.jpg).
+Includes updated files for:
+```shell
+<scanId>
+|-- <scanId>_vh_clean.ply
+    (Updated if had remove annotations)
+|-- <scanId>_vh_clean_2.ply
+    (Updated if had remove annotations)
+|-- <scanId>.aggregation.json, <scanId>_vh_clean.aggregation.json
+    Updated aggregated instance-level semantic annotations on lo-res, hi-res meshes, respectively
+|-- <scanId>_vh_clean_2.labels.ply
+    Updated visualization of aggregated semantic segmentation; colored by nyu40 labels (see legend referenced above; ply property 'label' denotes the ScanNet label id)
+|-- <scanId>_2d-label.zip
+    Updated raw 2d projections of aggregated annotation labels as 16-bit pngs with ScanNet label ids
+|-- <scanId>_2d-instance.zip
+    Updated raw 2d projections of aggregated annotation instances as 8-bit pngs
+|-- <scanId>_2d-label-filt.zip
+    Updated filtered 2d projections of aggregated annotation labels as 16-bit pngs with ScanNet label ids
+|-- <scanId>_2d-instance-filt.zip
+    Updated filtered 2d projections of aggregated annotation instances as 8-bit pngs
+```
+- *New scene type annotations* : for all 1513 original ScanNet scans, as `sceneType` in the `<scanId>.txt` info file for each scan. All new scene types and label ids are listed [here](http://kaldir.vc.in.tum.de/scannet_benchmark/scene_types_all.txt).
+- *New axis alignments* : for all 1513 original ScanNet scans, as `axisAlignment` in the `<scanId>.txt` info file (a 4x4 matrix encoding the rigid transform to axis alignment for the scan, as 16 values in row-major order).
+- *Visualization of v2 annotations vs v1 annotations* : 
+<a href="img/v2_vs_v1_annotations.jpg"><center>
+<img src="img/v2_vs_v1_annotations.jpg" /></center></a>
+
+
+

index.md

@@ -26,14 +26,20 @@ ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes<br><br>
 </a>
 
 ## News
+- *2018-11-06* : **[ScanNet v2 release](changelog)**.
+- *2018-11-06* : **[ScanNet Benchmark Challenge](http://kaldir.vc.in.tum.de/scannet_benchmark) available**.
 - *2018-02-11* : Browsing interface available.
 - *2018-02-04* : We are part of the [Robust Vision Challenge 2018 Workshop](http://www.robustvision.net/) at [CVPR 2018](http://cvpr2018.thecvf.com/) in Salt Lake City.  Participate to test out your algorithms and win prizes!
 - *2017-09-30* : Data server code released
 - *2017-02-01* : ScanNet initial release
 
-<a href="http://www.robustvision.net"><center>
-<img src="http://www.robustvision.net/images/banner.png" /></center></a>
-<center>Submit to the Robust Vision Challenge <a href="http://dovahkiin.stanford.edu/adai/">here</a>!</center>
+<a href="http://kaldir.vc.in.tum.de/scannet_benchmark"><center>
+<img src="img/scannet_benchmark.jpg" /></center></a>
+<center>Submit to our new ScanNet Benchmark Challenge <a href="http://kaldir.vc.in.tum.de/scannet_benchmark">here</a>!</center>
+
+[//]: # (<a href="http://www.robustvision.net"><center>)
+[//]: # (<img src="http://www.robustvision.net/images/banner.png" /></center></a>)
+[//]: # (<center>Submit to the Robust Vision Challenge <a href="http://dovahkiin.stanford.edu/adai/">here</a>!</center>)
 
 ## Introduction
 ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations.
@@ -56,6 +62,10 @@ If you use the ScanNet data or code please cite:
 }
 ```
 
+## ChangeLog
+See detailed changelog [here](changelog)
+- *2018-11-06* : **[ScanNet v2 release](changelog#scannet-v2-2018-06-11)**.
+
 ## License
 The ScanNet data is released under the [ScanNet Terms of Use](http://dovahkiin.stanford.edu/scannet-public/ScanNet_TOS.pdf), and the code is released under the MIT license.