rename h3d config name and update doc (#349)

open-mmlab · Mar 10, 2021 · 440e44a · 440e44a
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diff --git a/configs/h3dnet/README.md b/configs/h3dnet/README.md
@@ -19,4 +19,4 @@ We implement H3DNet and provide the result and checkpoints on ScanNet datasets.
 ### ScanNet
 | Backbone | Lr schd | Mem (GB) | Inf time (fps) | AP@0.25 |AP@0.5| Download |
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
-| [MultiBackbone](./h3dnet_scannet-3d-18class.py) | 3x |7.9||66.43|48.01|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/h3dnet/h3dnet_scannet-3d-18class/h3dnet_scannet-3d-18class_20200830_000136-02e36246.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/h3dnet/h3dnet_scannet-3d-18class/h3dnet_scannet-3d-18class_20200830_000136.log.json) |
+| [MultiBackbone](./h3dnet_3x8_scannet-3d-18class.py) | 3x |7.9||66.43|48.01|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/h3dnet/h3dnet_scannet-3d-18class/h3dnet_scannet-3d-18class_20200830_000136-02e36246.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/h3dnet/h3dnet_scannet-3d-18class/h3dnet_scannet-3d-18class_20200830_000136.log.json) |
diff --git a/...s/h3dnet/h3dnet_8x3_scannet-3d-18class.py → ...s/h3dnet/h3dnet_3x8_scannet-3d-18class.py b/...s/h3dnet/h3dnet_8x3_scannet-3d-18class.py → ...s/h3dnet/h3dnet_3x8_scannet-3d-18class.py
diff --git a/configs/ssn/README.md b/configs/ssn/README.md
@@ -24,7 +24,7 @@ We implement PointPillars with Shape-aware grouping heads used in the SSN and pr
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
 |[SECFPN](../pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d.py)|2x|16.4||35.17|49.76|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230725-0817d270.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230725.log.json)|
 |[SSN](./hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d.py)|2x|9.62||41.56|54.83|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20201023_193737-5fda3f00.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_secfpn_sbn-all_2x16_2x_nus-3d_20201023_193737.log.json)|
-[RegNetX-400MF-SECFPN](./hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d.py)|2x|16.4||41.15|55.20|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230334-53044f32.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230334.log.json)|
+[RegNetX-400MF-SECFPN](../regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d.py)|2x|16.4||41.15|55.20|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230334-53044f32.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230334.log.json)|
 |[RegNetX-400MF-SSN](./hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d.py)|2x|10.26||46.95|58.24|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20201024_232447-7af3d8c8.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/ssn/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d/hv_ssn_regnet-400mf_secfpn_sbn-all_2x16_2x_nus-3d_20201024_232447.log.json)|
 
 ### Lyft

diff --git a/docs/tutorials/config.md b/docs/tutorials/config.md
@@ -24,7 +24,7 @@ Please refer to [mmcv](https://mmcv.readthedocs.io/en/latest/utils.html#config)
 We follow the below style to name config files. Contributors are advised to follow the same style.
 
 ```
-{model}_[model setting]_{backbone}_{neck}_[norm setting]_[misc]_[gpu x batch_per_gpu]_{schedule}_{dataset}
+{model}_[model setting]_{backbone}_{neck}_[norm setting]_[misc]_[batch_per_gpu x gpu]_{schedule}_{dataset}
 ```
 
 `{xxx}` is required field and `[yyy]` is optional.
@@ -36,7 +36,7 @@ We follow the below style to name config files. Contributors are advised to foll
 - `[norm_setting]`: `bn` (Batch Normalization) is used unless specified, other norm layer type could be `gn` (Group Normalization), `sbn` (Synchronized Batch Normalization).
 `gn-head`/`gn-neck` indicates GN is applied in head/neck only, while `gn-all` means GN is applied in the entire model, e.g. backbone, neck, head.
 - `[misc]`: miscellaneous setting/plugins of model, e.g. `strong-aug` means using stronger augmentation strategies for training.
-- `[batch_per_gpu x gpu]`: GPUs and samples per GPU, `4x8` is used by default.
+- `[batch_per_gpu x gpu]`: samples per GPU and GPUs, `4x8` is used by default.
 - `{schedule}`: training schedule, options are `1x`, `2x`, `20e`, etc.
 `1x` and `2x` means 12 epochs and 24 epochs respectively.
 `20e` is adopted in cascade models, which denotes 20 epochs.