Bump version to V1.0.0rc0

Bump version to V1.0.0rc0

.dev_scripts/gather_models.py

@@ -3,17 +3,28 @@
 
 Usage:
 python gather_models.py ${root_path} ${out_dir}
+
+Example:
+python gather_models.py \
+work_dirs/pgd_r101_caffe_fpn_gn-head_3x4_4x_kitti-mono3d \
+work_dirs/pgd_r101_caffe_fpn_gn-head_3x4_4x_kitti-mono3d
+
+Note that before running the above command, rename the directory with the
+config name if you did not use the default directory name, create
+a corresponding directory 'pgd' under the above path and put the used config
+into it.
 """
 
 import argparse
 import glob
 import json
-import mmcv
 import shutil
 import subprocess
-import torch
 from os import path as osp
 
+import mmcv
+import torch
+
 # build schedule look-up table to automatically find the final model
 SCHEDULES_LUT = {
     '_1x_': 12,
@@ -25,6 +36,7 @@
     '_6x_': 73,
     '_50e_': 50,
     '_80e_': 80,
+    '_100e_': 100,
     '_150e_': 150,
     '_200e_': 200,
     '_250e_': 250,
@@ -35,16 +47,18 @@
 RESULTS_LUT = {
     'coco': ['bbox_mAP', 'segm_mAP'],
     'nus': ['pts_bbox_NuScenes/NDS', 'NDS'],
-    'kitti-3d-3class': [
-        'KITTI/Overall_3D_moderate',
-        'Overall_3D_moderate',
-    ],
+    'kitti-3d-3class': ['KITTI/Overall_3D_moderate', 'Overall_3D_moderate'],
     'kitti-3d-car': ['KITTI/Car_3D_moderate_strict', 'Car_3D_moderate_strict'],
     'lyft': ['score'],
     'scannet_seg': ['miou'],
     's3dis_seg': ['miou'],
     'scannet': ['mAP_0.50'],
-    'sunrgbd': ['mAP_0.50']
+    'sunrgbd': ['mAP_0.50'],
+    'kitti-mono3d': [
+        'img_bbox/KITTI/Car_3D_AP40_moderate_strict',
+        'Car_3D_AP40_moderate_strict'
+    ],
+    'nus-mono3d': ['img_bbox_NuScenes/NDS', 'NDS']
 }
 
 
@@ -144,15 +158,13 @@ def main():
     # and parse the best performance
     model_infos = []
     for used_config in used_configs:
-        exp_dir = osp.join(models_root, used_config)
-
         # get logs
-        log_json_path = glob.glob(osp.join(exp_dir, '*.log.json'))[0]
-        log_txt_path = glob.glob(osp.join(exp_dir, '*.log'))[0]
+        log_json_path = glob.glob(osp.join(models_root, '*.log.json'))[0]
+        log_txt_path = glob.glob(osp.join(models_root, '*.log'))[0]
         model_performance = get_best_results(log_json_path)
         final_epoch = model_performance['epoch']
         final_model = 'epoch_{}.pth'.format(final_epoch)
-        model_path = osp.join(exp_dir, final_model)
+        model_path = osp.join(models_root, final_model)
 
         # skip if the model is still training
         if not osp.exists(model_path):
@@ -181,7 +193,7 @@ def main():
         model_name = model['config'].split('/')[-1].rstrip(
             '.py') + '_' + model['model_time']
         publish_model_path = osp.join(model_publish_dir, model_name)
-        trained_model_path = osp.join(models_root, model['config'],
+        trained_model_path = osp.join(models_root,
                                       'epoch_{}.pth'.format(model['epochs']))
 
         # convert model
@@ -190,11 +202,10 @@ def main():
 
         # copy log
         shutil.copy(
-            osp.join(models_root, model['config'], model['log_json_path']),
+            osp.join(models_root, model['log_json_path']),
             osp.join(model_publish_dir, f'{model_name}.log.json'))
         shutil.copy(
-            osp.join(models_root, model['config'],
-                     model['log_json_path'].rstrip('.json')),
+            osp.join(models_root, model['log_json_path'].rstrip('.json')),
             osp.join(model_publish_dir, f'{model_name}.log'))
 
         # copy config to guarantee reproducibility

.dev_scripts/test_benchmark.sh

@@ -25,11 +25,11 @@ GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_test.sh $PARTITION fcos3d_r
 $CHECKPOINT_DIR/configs/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d.py/latest.pth --eval map \
 2>&1|tee $CHECKPOINT_DIR/configs/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d.py/FULL_LOG.txt &
 
-echo 'configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py' &
-mkdir -p $CHECKPOINT_DIR/configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py
-GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_test.sh $PARTITION hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py \
-$CHECKPOINT_DIR/configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py/latest.pth --eval map \
-2>&1|tee $CHECKPOINT_DIR/configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py/FULL_LOG.txt &
+echo 'configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py' &
+mkdir -p $CHECKPOINT_DIR/configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py
+GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_test.sh $PARTITION hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py \
+$CHECKPOINT_DIR/configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py/latest.pth --eval map \
+2>&1|tee $CHECKPOINT_DIR/configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py/FULL_LOG.txt &
 
 echo 'configs/free_anchor/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_free-anchor_strong-aug_4x8_3x_nus-3d.py' &
 mkdir -p $CHECKPOINT_DIR/configs/free_anchor/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_free-anchor_strong-aug_4x8_3x_nus-3d.py

.dev_scripts/train_benchmark.sh

@@ -25,11 +25,11 @@ GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION fcos3d_
 $CHECKPOINT_DIR/configs/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
 2>&1|tee $CHECKPOINT_DIR/configs/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d.py/FULL_LOG.txt &
 
-echo 'configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py' &
-mkdir -p $CHECKPOINT_DIR/configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py
-GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py \
-$CHECKPOINT_DIR/configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
-2>&1|tee $CHECKPOINT_DIR/configs/fp16/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py/FULL_LOG.txt &
+echo 'configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py' &
+mkdir -p $CHECKPOINT_DIR/configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py
+GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py \
+$CHECKPOINT_DIR/configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
+2>&1|tee $CHECKPOINT_DIR/configs/second/hv_second_secfpn_fp16_6x8_80e_kitti-3d-3class.py/FULL_LOG.txt &
 
 echo 'configs/free_anchor/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_free-anchor_strong-aug_4x8_3x_nus-3d.py' &
 mkdir -p $CHECKPOINT_DIR/configs/free_anchor/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_free-anchor_strong-aug_4x8_3x_nus-3d.py

.github/ISSUE_TEMPLATE/error-report.md

@@ -28,7 +28,7 @@ A placeholder for the command.
 
 **Environment**
 
-1. Please run `python mmdet3d/utils/collect_env.py` to collect necessary environment infomation and paste it here.
+1. Please run `python mmdet3d/utils/collect_env.py` to collect necessary environment information and paste it here.
 2. You may add addition that may be helpful for locating the problem, such as
     - How you installed PyTorch [e.g., pip, conda, source]
     - Other environment variables that may be related (such as `$PATH`, `$LD_LIBRARY_PATH`, `$PYTHONPATH`, etc.)

.github/ISSUE_TEMPLATE/reimplementation_questions.md

@@ -46,7 +46,7 @@ A placeholder for the config.
 
 **Environment**
 
-1. Please run `python mmdet3d/utils/collect_env.py` to collect necessary environment infomation and paste it here.
+1. Please run `python mmdet3d/utils/collect_env.py` to collect necessary environment information and paste it here.
 2. You may add addition that may be helpful for locating the problem, such as
     - How you installed PyTorch [e.g., pip, conda, source]
     - Other environment variables that may be related (such as `$PATH`, `$LD_LIBRARY_PATH`, `$PYTHONPATH`, etc.)

.pre-commit-config.yaml

@@ -3,12 +3,8 @@ repos:
     rev: 3.8.3
     hooks:
       - id: flake8
-  - repo: https://github.com/asottile/seed-isort-config
-    rev: v2.2.0
-    hooks:
-      - id: seed-isort-config
-  - repo: https://github.com/timothycrosley/isort
-    rev: 5.0.2
+  - repo: https://github.com/PyCQA/isort
+    rev: 5.10.1
     hooks:
       - id: isort
   - repo: https://github.com/pre-commit/mirrors-yapf
@@ -43,3 +39,9 @@ repos:
     hooks:
       - id: docformatter
         args: ["--in-place", "--wrap-descriptions", "79"]
+  - repo: https://github.com/open-mmlab/pre-commit-hooks
+    rev: v0.2.0  # Use the ref you want to point at
+    hooks:
+      - id: check-algo-readme
+      - id: check-copyright
+        args: ["mmdet3d"]  # replace the dir_to_check with your expected directory to check

README.md

@@ -25,16 +25,12 @@
 [![license](https://img.shields.io/github/license/open-mmlab/mmdetection3d.svg)](https://github.com/open-mmlab/mmdetection3d/blob/master/LICENSE)
 
 
-**News**: We released the codebase v0.18.1.
+**News**: We released the codebase v1.0.0rc0.
 
-In addition, we have preliminarily supported several new models on the [v1.0.0.dev0](https://github.com/open-mmlab/mmdetection3d/tree/v1.0.0.dev0) branch, including [DGCNN](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/dgcnn/README.md), [SMOKE](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/smoke/README.md) and [PGD](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/pgd/README.md).
-
-Note: We are going through large refactoring to provide simpler and more unified usage of many modules. Thus, few features will be added to the master branch in the following months.
+Note: We are going through large refactoring to provide simpler and more unified usage of many modules.
 
 The compatibilities of models are broken due to the unification and simplification of coordinate systems. For now, most models are benchmarked with similar performance, though few models are still being benchmarked.
 
-You can start experiments with [v1.0.0.dev0](https://github.com/open-mmlab/mmdetection3d/tree/v1.0.0.dev0) if you are interested. Please note that our new features will only be supported in v1.0.0 branch afterward.
-
 In the [nuScenes 3D detection challenge](https://www.nuscenes.org/object-detection?externalData=all&mapData=all&modalities=Any) of the 5th AI Driving Olympics in NeurIPS 2020, we obtained the best PKL award and the second runner-up by multi-modality entry, and the best vision-only results.
 
 Code and models for the best vision-only method, [FCOS3D](https://arxiv.org/abs/2104.10956), have been released. Please stay tuned for [MoCa](https://arxiv.org/abs/2012.12741).
@@ -87,11 +83,9 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.18.1 was released in 1/2/2022.
+v1.0.0rc0 was released in 18/2/2022.
 Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
 
-For branch v1.0.0.dev0, please refer to [changelog_v1.0.md](https://github.com/Tai-Wang/mmdetection3d/blob/v1.0.0.dev0-changelog/docs/changelog_v1.0.md) for our latest features and more details.
-
 ## Benchmark and model zoo
 
 Supported methods and backbones are shown in the below table.
@@ -102,6 +96,8 @@ Support backbones:
 - [x] PointNet (CVPR'2017)
 - [x] PointNet++ (NeurIPS'2017)
 - [x] RegNet (CVPR'2020)
+- [x] DGCNN (TOG'2019)
+- [x] DLA (CVPR'2018)
 
 Support methods
 
@@ -121,25 +117,31 @@ Support methods
 - [x] [Group-Free-3D (ICCV'2021)](configs/groupfree3d/README.md)
 - [x] [ImVoxelNet (WACV'2022)](configs/imvoxelnet/README.md)
 - [x] [PAConv (CVPR'2021)](configs/paconv/README.md)
-
-|                    | ResNet   | ResNeXt  | SENet    |PointNet++ | HRNet | RegNetX | Res2Net |
-|--------------------|:--------:|:--------:|:--------:|:---------:|:-----:|:--------:|:-----:|
-| SECOND             | ☐        | ☐        | ☐        | ✗         | ☐     | ✓        | ☐     |
-| PointPillars       | ☐        | ☐        | ☐        | ✗         | ☐     | ✓        | ☐     |
-| FreeAnchor         | ☐        | ☐        | ☐        | ✗         | ☐     | ✓        | ☐     |
-| VoteNet            | ✗        | ✗        | ✗        | ✓         | ✗     | ✗        | ✗     |
-| H3DNet            | ✗        | ✗        | ✗        | ✓         | ✗     | ✗        | ✗     |
-| 3DSSD            | ✗        | ✗        | ✗        | ✓         | ✗     | ✗        | ✗     |
-| Part-A2            | ☐        | ☐        | ☐        | ✗         | ☐     | ✓        | ☐     |
-| MVXNet             | ☐        | ☐        | ☐        | ✗         | ☐     | ✓        | ☐     |
-| CenterPoint        | ☐        | ☐        | ☐        | ✗         | ☐     | ✓        | ☐     |
-| SSN                | ☐        | ☐        | ☐        | ✗         | ☐     | ✓        | ☐     |
-| ImVoteNet            | ✗        | ✗        | ✗        | ✓         | ✗     | ✗        | ✗     |
-| FCOS3D               | ✓        | ☐        | ☐        | ✗         | ☐     | ☐        | ☐     |
-| PointNet++           | ✗        | ✗        | ✗        | ✓         | ✗     | ✗        | ✗     |
-| Group-Free-3D        | ✗        | ✗        | ✗        | ✓         | ✗     | ✗        | ✗     |
-| ImVoxelNet           | ✓         | ✗        | ✗        | ✗        | ✗     | ✗        | ✗     |
-| PAConv               | ✗        | ✗        | ✗        | ✓         | ✗     | ✗        | ✗     |
+- [x] [DGCNN (TOG'2019)](configs/dgcnn/README.md)
+- [x] [SMOKE (CVPRW'2020)](configs/smoke/README.md)
+- [x] [PGD (CoRL'2021)](configs/pgd/README.md)
+
+|                    | ResNet   | ResNeXt  | SENet    |PointNet++ |DGCNN     | HRNet | RegNetX | Res2Net | DLA |
+|--------------------|:--------:|:--------:|:--------:|:---------:|:---------:|:-----:|:--------:|:-----:|:---:|
+| SECOND             | ☐        | ☐        | ☐        | ✗         | ✗         | ☐     | ✓        | ☐     | ✗
+| PointPillars       | ☐        | ☐        | ☐        | ✗         | ✗         | ☐     | ✓        | ☐     | ✗
+| FreeAnchor         | ☐        | ☐        | ☐        | ✗         | ✗         | ☐     | ✓        | ☐     | ✗
+| VoteNet            | ✗        | ✗        | ✗        | ✓         | ✗         | ✗     | ✗        | ✗     | ✗
+| H3DNet            | ✗        | ✗        | ✗        | ✓         | ✗         | ✗     | ✗        | ✗     | ✗
+| 3DSSD            | ✗        | ✗        | ✗        | ✓         | ✗         | ✗     | ✗        | ✗     | ✗
+| Part-A2            | ☐        | ☐        | ☐        | ✗         | ✗         | ☐     | ✓        | ☐     | ✗
+| MVXNet             | ☐        | ☐        | ☐        | ✗         | ✗         | ☐     | ✓        | ☐     | ✗
+| CenterPoint        | ☐        | ☐        | ☐        | ✗         | ✗         | ☐     | ✓        | ☐     | ✗
+| SSN                | ☐        | ☐        | ☐        | ✗         | ✗         | ☐     | ✓        | ☐     | ✗
+| ImVoteNet            | ✗        | ✗        | ✗        | ✓         | ✗         | ✗     | ✗        | ✗     | ✗
+| FCOS3D               | ✓        | ☐        | ☐        | ✗         | ✗         | ☐     | ☐        | ☐     | ✗
+| PointNet++           | ✗        | ✗        | ✗        | ✓         | ✗         | ✗     | ✗        | ✗     | ✗
+| Group-Free-3D        | ✗        | ✗        | ✗        | ✓         | ✗         | ✗     | ✗        | ✗     | ✗
+| ImVoxelNet           | ✓         | ✗        | ✗        | ✗        | ✗         | ✗     | ✗        | ✗     | ✗
+| PAConv               | ✗        | ✗        | ✗        | ✓         | ✗         | ✗     | ✗        | ✗     | ✗
+| DGCNN                | ✗        | ✗        | ✗        | ✗         | ✓         | ✗     | ✗        | ✗     | ✗
+| SMOKE                | ✗        | ✗        | ✗        | ✗         | ✗         | ✗     | ✗        | ✗     | ✓
+| PGD                  | ✓        | ☐        | ☐        | ✗         | ✗         | ☐     | ☐        | ☐     | ✗
 
 Other features
 - [x] [Dynamic Voxelization](configs/dynamic_voxelization/README.md)