[Enhance] Fix tags & Add MMGen to README & Add QR codes (#477)

* add QR code & add MMGen

* modify tag to comment

* update re-expression

README.md

@@ -148,3 +148,4 @@ We wish that the toolbox and benchmark could serve the growing research communit
 - [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab video perception toolbox and benchmark.
 - [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab pose estimation toolbox and benchmark.
 - [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab image and video editing toolbox.
+- [MMGeneration](https://github.com/open-mmlab/mmgeneration): A powerful toolkit for generative models.

README_zh-CN.md

@@ -146,3 +146,23 @@ MMDetection3D 是一款由来自不同高校和企业的研发人员共同参与
 - [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab 一体化视频目标感知平台
 - [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab 姿态估计工具箱
 - [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab 图像视频编辑工具箱
+- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab 生成模型工具箱
+
+## 欢迎加入 OpenMMLab 社区
+
+扫描下方的二维码可关注 OpenMMLab 团队的 [知乎官方账号](https://www.zhihu.com/people/openmmlab)，加入 OpenMMLab 团队的 [官方交流 QQ 群](https://jq.qq.com/?_wv=1027&k=aCvMxdr3)
+
+<div align="center">
+<img src="/resources/zhihu_qrcode.jpg" height="400" />  <img src="/resources/qq_group_qrcode.jpg" height="400" />
+</div>
+
+我们会在 OpenMMLab 社区为大家
+
+- 📢 分享 AI 框架的前沿核心技术
+- 💻 解读 PyTorch 常用模块源码
+- 📰 发布 OpenMMLab 的相关新闻
+- 🚀 介绍 OpenMMLab 开发的前沿算法
+- 🏃 获取更高效的问题答疑和意见反馈
+- 🔥 提供与各行各业开发者充分交流的平台
+
+干货满满 📘，等你来撩 💗，OpenMMLab 社区期待您的加入 👬

configs/3dssd/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement 3DSSD and provide the results and checkpoints on KITTI datasets.
 

configs/centerpoint/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement CenterPoint and provide the result and checkpoints on nuScenes dataset.
 

configs/dynamic_voxelization/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement Dynamic Voxelization proposed in  and provide its results and models on KITTI dataset.
 

configs/fp16/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[OTHERS]
+<!-- [OTHERS] -->
 
 We implement mixed precision training and apply it to VoxelNets (e.g., SECOND and PointPillars).
 The results are in the following tables.

configs/free_anchor/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement FreeAnchor in 3D detection systems and provide their first results with PointPillars on nuScenes dataset.
 With the implemented `FreeAnchor3DHead`, a PointPillar detector with a big backbone (e.g., RegNet-3.2GF) achieves top performance

configs/h3dnet/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement H3DNet and provide the result and checkpoints on ScanNet datasets.
 

configs/imvotenet/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement ImVoteNet and provide the result and checkpoints on SUNRGBD.
 

configs/mvxnet/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement MVX-Net and provide its results and models on KITTI dataset.
 

configs/nuimages/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[DATASET]
+<!-- [DATASET] -->
 
 We support and provide some baseline results on [nuImages dataset](https://www.nuscenes.org/nuimages).
 We follow the class mapping in nuScenes dataset, which maps the original categories into 10 foreground categories.

configs/parta2/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement Part-A^2 and provide its results and checkpoints on KITTI dataset.
 

configs/pointpillars/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement PointPillars and provide the results and checkpoints on KITTI, nuScenes, Lyft and Waymo datasets.
 

configs/regnet/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[BACKBONE]
+<!-- [BACKBONE] -->
 
 We implement RegNetX models in 3D detection systems and provide their first results with PointPillars on nuScenes dataset.
 

configs/second/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement SECOND and provide the results and checkpoints on KITTI dataset.
 

configs/ssn/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement PointPillars with Shape-aware grouping heads used in the SSN and provide the results and checkpoints on the nuScenes and Lyft dataset.
 

configs/votenet/README.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-[ALGORITHM]
+<!-- [ALGORITHM] -->
 
 We implement VoteNet and provide the result and checkpoints on ScanNet and SUNRGBD datasets.
 

docs/stat.py

@@ -26,7 +26,7 @@ for f in files:
     if len(ckpts) == 0:
         continue
 
-    _papertype = [x for x in re.findall(r'\[([A-Z]+)\]', content)]
+    _papertype = [x for x in re.findall(r'<!-- \[([A-Z]+)\] -->', content)]
     assert len(_papertype) > 0
     papertype = _papertype[0]