[Fix]: fix naming of centerformer config (open-mmlab#2218)

Author: JingweiZhang12

projects/CenterFormer/README.md

@@ -60,30 +60,30 @@ We follow the below style to name config files. Contributors are advised to foll
 In MMDetection3D's root directory, run the following command to train the model:
 
 ```bash
-python tools/train.py projects/CenterFormer/configs/centerformer_voxel01_second-atten_secfpn-atten_4xb4-cyclic-20e_waymoD5-3d-class.py
+python tools/train.py projects/CenterFormer/configs/centerformer_voxel01_second-atten_secfpn-atten_4xb4-cyclic-20e_waymoD5-3d-3class.py
 ```
 
 For multi-gpu training, run:
 
 ```bash
-python -m torch.distributed.launch --nnodes=1 --node_rank=0 --nproc_per_node=${NUM_GPUS} --master_port=29506 --master_addr="127.0.0.1" tools/train.py projects/CenterFormer/configs/centerformer_voxel01_second-atten_secfpn-atten_4xb4-cyclic-20e_waymoD5-3d-class.py
+python -m torch.distributed.launch --nnodes=1 --node_rank=0 --nproc_per_node=${NUM_GPUS} --master_port=29506 --master_addr="127.0.0.1" tools/train.py projects/CenterFormer/configs/centerformer_voxel01_second-atten_secfpn-atten_4xb4-cyclic-20e_waymoD5-3d-3class.py
 ```
 
 ### Testing commands
 
 In MMDetection3D's root directory, run the following command to test the model:
 
 ```bash
-python tools/train.py projects/CenterFormer/configs/centerformer_voxel01_second-atten_secfpn-atten_4xb4-cyclic-20e_waymoD5-3d-class.py ${CHECKPOINT_PATH}
+python tools/train.py projects/CenterFormer/configs/centerformer_voxel01_second-atten_secfpn-atten_4xb4-cyclic-20e_waymoD5-3d-3class.py ${CHECKPOINT_PATH}
 ```
 
 ## Results and models
 
 ### Waymo
 
-|                                                      Backbone                                                      | Load Interval | Voxel type (voxel size) | Multi-Class NMS | Multi-frames | Mem (GB) | Inf time (fps) | mAP@L1 | mAPH@L1 | mAP@L2 | **mAPH@L2** |                                                                                                                                 Download                                                                                                                                 |
-| :----------------------------------------------------------------------------------------------------------------: | :-----------: | :---------------------: | :-------------: | :----------: | :------: | :------------: | :----: | :-----: | :----: | :---------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| [SECFPN_WithAttention](./configs/centerformer_voxel01_second-attn_secfpn-attn_4xb4-cyclic-20e_waymoD5-3d-class.py) |       5       |       voxel (0.1)       |        ✓        |      ×       |   14.8   |                |  72.2  |  69.5   |  65.9  |    63.3     | [log](https://download.openmmlab.com/mmdetection3d/v1.1.0_models/centerformer/centerformer_voxel01_second-attn_secfpn-attn_4xb4-cyclic-20e_waymoD5-3d-class/centerformer_voxel01_second-attn_secfpn-attn_4xb4-cyclic-20e_waymoD5-3d-class_20221227_205613-70c9ad37.json) |
+|                                                      Backbone                                                       | Load Interval | Voxel type (voxel size) | Multi-Class NMS | Multi-frames | Mem (GB) | Inf time (fps) | mAP@L1 | mAPH@L1 | mAP@L2 | **mAPH@L2** |                                                                                                                                 Download                                                                                                                                  |
+| :-----------------------------------------------------------------------------------------------------------------: | :-----------: | :---------------------: | :-------------: | :----------: | :------: | :------------: | :----: | :-----: | :----: | :---------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+| [SECFPN_WithAttention](./configs/centerformer_voxel01_second-attn_secfpn-attn_4xb4-cyclic-20e_waymoD5-3d-3class.py) |       5       |       voxel (0.1)       |        ✓        |      ×       |   14.8   |                |  72.2  |  69.5   |  65.9  |    63.3     | [log](https://download.openmmlab.com/mmdetection3d/v1.1.0_models/centerformer/centerformer_voxel01_second-attn_secfpn-attn_4xb4-cyclic-20e_waymoD5-3d-3class/centerformer_voxel01_second-attn_secfpn-attn_4xb4-cyclic-20e_waymoD5-3d-3class_20221227_205613-70c9ad37.log) |
 
 **Note** that `SECFPN_WithAttention` denotes both SECOND and SECONDFPN with ChannelAttention and SpatialAttention.