Commit eb1107e4 authored by raojy's avatar raojy
Browse files

fix_mmdetection

parent 7aa442d5
Pipeline #3461 canceled with stages
PARTITION=$1
CHECKPOINT_DIR=$2
echo 'configs/3dssd/3dssd_4xb4_kitti-3d-car.py' &
mkdir -p $CHECKPOINT_DIR/configs/3dssd/3dssd_4xb4_kitti-3d-car.py
GPUS=4 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION 3dssd_4x4_kitti-3d-car configs/3dssd/3dssd_4xb4_kitti-3d-car.py \
$CHECKPOINT_DIR/configs/3dssd/3dssd_4xb4_kitti-3d-car.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/3dssd/3dssd_4xb4_kitti-3d-car.py/FULL_LOG.txt &
echo 'configs/centerpoint/centerpoint_pillar02_second_secfpn_head-dcn-circlenms_8xb4-cyclic-20e_nus-3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/centerpoint/centerpoint_pillar02_second_secfpn_head-dcn-circlenms_8xb4-cyclic-20e_nus-3d.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION centerpoint_02pillar_second_secfpn_dcn_circlenms_4x8_cyclic_20e_nus configs/centerpoint/centerpoint_pillar02_second_secfpn_head-dcn-circlenms_8xb4-cyclic-20e_nus-3d.py \
$CHECKPOINT_DIR/configs/centerpoint/centerpoint_pillar02_second_secfpn_head-dcn-circlenms_8xb4-cyclic-20e_nus-3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/centerpoint/centerpoint_pillar02_second_secfpn_head-dcn-circlenms_8xb4-cyclic-20e_nus-3d.py/FULL_LOG.txt &
echo 'configs/dynamic_voxelization/second_dv_secfpn_8xb2-cosine-80e_kitti-3d-3class.py' &
mkdir -p $CHECKPOINT_DIR/configs/dynamic_voxelization/second_dv_secfpn_8xb2-cosine-80e_kitti-3d-3class.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION dv_second_secfpn_2x8_cosine_80e_kitti-3d-3class configs/dynamic_voxelization/second_dv_secfpn_8xb2-cosine-80e_kitti-3d-3class.py \
$CHECKPOINT_DIR/configs/dynamic_voxelization/second_dv_secfpn_8xb2-cosine-80e_kitti-3d-3class.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/dynamic_voxelization/second_dv_secfpn_8xb2-cosine-80e_kitti-3d-3class.py/FULL_LOG.txt &
echo 'configs/fcos3d/fcos3d_r101-caffe-dcn_fpn_head-gn_8xb2-1x_nus-mono3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/fcos3d/fcos3d_r101-caffe-fpn-head-gn-dcn_8xb2-1x_nus-mono3d.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d configs/fcos3d/fcos3d_r101-caffe-fpn-head-gn-dcn_8xb2-1x_nus-mono3d.py \
$CHECKPOINT_DIR/configs/fcos3d/fcos3d_r101-caffe-fpn-head-gn-dcn_8xb2-1x_nus-mono3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/fcos3d/fcos3d_r101-caffe-fpn-head-gn-dcn_8xb2-1x_nus-mono3d.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/pointpillars_hv_regnet-1.6gf_fpn_head-free-anchor_sbn-all_8xb4-strong-aug-3x_nus-3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/free_anchor/pointpillars_hv_regnet-1.6gf_fpn_head-free-anchor_sbn-all_8xb4-strong-aug-3x_nus-3d.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_pointpillars_regnet-1.6gf_fpn_sbn-all_free-anchor_strong-aug_4x8_3x_nus-3d configs/free_anchor/pointpillars_hv_regnet-1.6gf_fpn_head-free-anchor_sbn-all_8xb4-strong-aug-3x_nus-3d.py \
$CHECKPOINT_DIR/configs/free_anchor/pointpillars_hv_regnet-1.6gf_fpn_head-free-anchor_sbn-all_8xb4-strong-aug-3x_nus-3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/free_anchor/pointpillars_hv_regnet-1.6gf_fpn_head-free-anchor_sbn-all_8xb4-strong-aug-3x_nus-3d.py/FULL_LOG.txt &
echo 'configs/groupfree3d/groupfree3d_head-L6-O256_4xb8_scannet-seg.py' &
mkdir -p $CHECKPOINT_DIR/configs/groupfree3d/groupfree3d_head-L6-O256_4xb8_scannet-seg.py
GPUS=4 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION groupfree3d_8x4_scannet-3d-18class-L6-O256 configs/groupfree3d/groupfree3d_head-L6-O256_4xb8_scannet-seg.py \
$CHECKPOINT_DIR/configs/groupfree3d/groupfree3d_head-L6-O256_4xb8_scannet-seg.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/groupfree3d/groupfree3d_head-L6-O256_4xb8_scannet-seg.py/FULL_LOG.txt &
echo 'configs/h3dnet/h3dnet_8xb3_scannet-seg.py' &
mkdir -p $CHECKPOINT_DIR/configs/h3dnet/h3dnet_8xb3_scannet-seg.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION h3dnet_3x8_scannet-3d-18class configs/h3dnet/h3dnet_8xb3_scannet-seg.py \
$CHECKPOINT_DIR/configs/h3dnet/h3dnet_8xb3_scannet-seg.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/h3dnet/h3dnet_8xb3_scannet-seg.py/FULL_LOG.txt &
echo 'configs/imvotenet/imvotenet_faster-rcnn-r50_fpn_4xb2_sunrgbd-3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/imvotenet/imvotenet_faster-rcnn-r50_fpn_4xb2_sunrgbd-3d.py
GPUS=4 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION imvotenet_faster_rcnn_r50_fpn_2x4_sunrgbd-3d-10class configs/imvotenet/imvotenet_faster-rcnn-r50_fpn_4xb2_sunrgbd-3d.py \
$CHECKPOINT_DIR/configs/imvotenet/imvotenet_faster-rcnn-r50_fpn_4xb2_sunrgbd-3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/imvotenet/imvotenet_faster-rcnn-r50_fpn_4xb2_sunrgbd-3d.py/FULL_LOG.txt &
echo 'configs/imvotenet/imvotenet_stage2_8xb16_sunrgbd-3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/imvotenet/imvotenet_stage2_8xb16_sunrgbd-3d.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION imvotenet_stage2_16x8_sunrgbd-3d-10class configs/imvotenet/imvotenet_stage2_8xb16_sunrgbd-3d.py \
$CHECKPOINT_DIR/configs/imvotenet/imvotenet_stage2_8xb16_sunrgbd-3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/imvotenet/imvotenet_stage2_8xb16_sunrgbd-3d.py/FULL_LOG.txt &
echo 'configs/imvoxelnet/imvoxelnet_8xb4_kitti-3d-car.py' &
mkdir -p $CHECKPOINT_DIR/configs/imvoxelnet/imvoxelnet_8xb4_kitti-3d-car.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION imvoxelnet_4x8_kitti-3d-car configs/imvoxelnet/imvoxelnet_8xb4_kitti-3d-car.py \
$CHECKPOINT_DIR/configs/imvoxelnet/imvoxelnet_8xb4_kitti-3d-car.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/imvoxelnet/imvoxelnet_8xb4_kitti-3d-car.py/FULL_LOG.txt &
echo 'configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py' &
mkdir -p $CHECKPOINT_DIR/configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION dv_mvx-fpn_second_secfpn_adamw_2x8_80e_kitti-3d-3class configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py \
$CHECKPOINT_DIR/configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py/FULL_LOG.txt &
echo 'configs/parta2/parta2_hv_secfpn_8xb2-cyclic-80e_kitti-3d-3class.py' &
mkdir -p $CHECKPOINT_DIR/configs/parta2/parta2_hv_secfpn_8xb2-cyclic-80e_kitti-3d-3class.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_PartA2_secfpn_2x8_cyclic_80e_kitti-3d-3class configs/parta2/parta2_hv_secfpn_8xb2-cyclic-80e_kitti-3d-3class.py \
$CHECKPOINT_DIR/configs/parta2/parta2_hv_secfpn_8xb2-cyclic-80e_kitti-3d-3class.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/parta2/parta2_hv_secfpn_8xb2-cyclic-80e_kitti-3d-3class.py/FULL_LOG.txt &
echo 'configs/pointnet2/pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py' &
mkdir -p $CHECKPOINT_DIR/configs/pointnet2/pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py
GPUS=2 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION pointnet2_msg_16x2_cosine_80e_s3dis_seg-3d-13class configs/pointnet2/pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py \
$CHECKPOINT_DIR/configs/pointnet2/pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/pointnet2/pointnet2_msg_2xb16-cosine-80e_s3dis-seg.py/FULL_LOG.txt &
echo 'configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg.py' &
mkdir -p $CHECKPOINT_DIR/configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg.py
GPUS=2 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg.py \
$CHECKPOINT_DIR/configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/pointnet2/pointnet2_msg_2xb16-cosine-250e_scannet-seg.py/FULL_LOG.txt &
echo 'configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb2-2x_lyft-3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb2-2x_lyft-3d.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb2-2x_lyft-3d.py \
$CHECKPOINT_DIR/configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb2-2x_lyft-3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb2-2x_lyft-3d.py/FULL_LOG.txt &
echo 'configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py' &
mkdir -p $CHECKPOINT_DIR/configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py
GPUS=16 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py \
$CHECKPOINT_DIR/configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py/FULL_LOG.txt &
echo 'configs/regnet/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/regnet/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d configs/regnet/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d.py \
$CHECKPOINT_DIR/configs/regnet/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/regnet/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d.py/FULL_LOG.txt &
echo 'configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class.py' &
mkdir -p $CHECKPOINT_DIR/configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_second_secfpn_6x8_80e_kitti-3d-3class configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class.py \
$CHECKPOINT_DIR/configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class.py/FULL_LOG.txt &
echo 'configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py
GPUS=16 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION hv_ssn_secfpn_sbn-all_2x16_2x_lyft-3d configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py \
$CHECKPOINT_DIR/configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py/FULL_LOG.txt &
echo 'configs/votenet/votenet_8xb8_scannet-3d.py' &
mkdir -p $CHECKPOINT_DIR/configs/votenet/votenet_8xb8_scannet-3d.py
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=5 ./tools/slurm_train.sh $PARTITION votenet_8x8_scannet-3d-18class configs/votenet/votenet_8xb8_scannet-3d.py \
$CHECKPOINT_DIR/configs/votenet/votenet_8xb8_scannet-3d.py --cfg-options checkpoint_config.max_keep_ckpts=1 \
2>&1|tee $CHECKPOINT_DIR/configs/votenet/votenet_8xb8_scannet-3d.py/FULL_LOG.txt &
# Contributor Covenant Code of Conduct
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name: "🐞 Bug report"
description: "Create a report to help us reproduce and fix the bug"
labels: kind/bug
title: "[Bug] "
body:
- type: markdown
attributes:
value: |
## Note
For general usage questions or idea discussions, please post it to our [**Forum**](https://github.com/open-mmlab/mmdetection3d/discussions).
If this issue is about installing MMCV, please file an issue at [MMCV](https://github.com/open-mmlab/mmcv/issues/new/choose).
If it's anything about model deployment, please raise it to [MMDeploy](https://github.com/open-mmlab/mmdeploy).
Please fill in as **much** of the following form as you're able to. **The clearer the description, the shorter it will take to solve it.**
- type: checkboxes
attributes:
label: Prerequisite
description: Please check the following items before creating a new issue.
options:
- label: I have searched [Issues](https://github.com/open-mmlab/mmdetection3d/issues) and [Discussions](https://github.com/open-mmlab/mmdetection3d/discussions) but cannot get the expected help.
required: true
- label: I have read the [FAQ documentation](https://mmdetection3d.readthedocs.io/en/latest/notes/faq.html) but cannot get the expected help.
required: true
- label: The bug has not been fixed in the [latest version (dev-1.x)](https://github.com/open-mmlab/mmdetection3d/tree/dev-1.x) or [latest version (dev-1.0)](https://github.com/open-mmlab/mmdetection3d/tree/dev-1.0).
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- type: dropdown
id: task
attributes:
label: Task
description: The problem arises when
options:
- I'm using the official example scripts/configs for the officially supported tasks/models/datasets.
- I have modified the scripts/configs, or I'm working on my own tasks/models/datasets.
validations:
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id: branch
attributes:
label: Branch
description: The problem arises when I'm working on
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- main branch https://github.com/open-mmlab/mmdetection3d
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validations:
required: true
- type: textarea
attributes:
label: Environment
description: |
Please run `python mmdet3d/utils/collect_env.py` to collect necessary environment information and copy-paste it here.
You may add additional information 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.)
validations:
required: true
- type: textarea
attributes:
label: Reproduces the problem - code sample
description: |
Please provide a code sample that reproduces the problem you ran into. It can be a Colab link or just a code snippet.
placeholder: |
```python
# Sample code to reproduce the problem
```
validations:
required: true
- type: textarea
attributes:
label: Reproduces the problem - command or script
description: |
What command or script did you run?
placeholder: |
```shell
The command or script you run.
```
validations:
required: true
- type: textarea
attributes:
label: Reproduces the problem - error message
description: |
Please provide the error message or logs you got, with the full traceback.
Tip: You can attach images or log files by dragging them into the text area..
placeholder: |
```
The error message or logs you got, with the full traceback.
```
validations:
required: true
- type: textarea
attributes:
label: Additional information
description: |
Tell us anything else you think we should know.
Tip: You can attach images or log files by dragging them into the text area.
placeholder: |
1. What's your expected result?
2. What dataset did you use?
3. What do you think might be the reason?
- type: markdown
attributes:
value: |
## Acknowledgement
Thanks for taking the time to fill out this report.
If you have already identified the reason, we strongly appreciate you creating a new PR to fix it [**Here**](https://github.com/open-mmlab/mmdetection3d/pulls)!
Please refer to [**Contribution Guide**](https://mmdetection3d.readthedocs.io/en/latest/notes/contribution_guides.html) for contributing.
name: 🚀 Feature request
description: Suggest an idea for this project
labels: [feature-request]
title: "[Feature] "
body:
- type: markdown
attributes:
value: |
## Note
For general usage questions or idea discussions, please post it to our [**Forum**](https://github.com/open-mmlab/mmdetection3d/discussions).
Please fill in as **much** of the following form as you're able to. **The clearer the description, the shorter it will take to solve it.**
- type: textarea
attributes:
label: What is the feature?
description: Tell us more about the feature and how this feature can help.
placeholder: |
E.g., It is inconvenient when \[....\].
validations:
required: true
- type: textarea
attributes:
label: Any other context?
description: |
Have you considered any alternative solutions or features? If so, what are they? Also, feel free to add any other context or screenshots about the feature request here.
- type: markdown
attributes:
value: |
## Acknowledgement
Thanks for taking the time to fill out this report.
We strongly appreciate you creating a new PR to implement it [**Here**](https://github.com/open-mmlab/mmdetection3d/pulls)!
Please refer to [**Contribution Guide**](https://mmdetection3d.readthedocs.io/en/latest/notes/contribution_guides.html) for contributing.
name: "\U0001F31F New model/dataset/scheduler addition"
description: Submit a proposal/request to implement a new model / dataset / scheduler
labels: [ "feature-request" ]
title: "[New Models] "
body:
- type: markdown
attributes:
value: |
## Note
For general usage questions or idea discussions, please post it to our [**Forum**](https://github.com/open-mmlab/mmdetection3d/discussions).
Please fill in as **much** of the following form as you're able to. **The clearer the description, the shorter it will take to solve it.**
- type: textarea
id: description-request
validations:
required: true
attributes:
label: Model/Dataset/Scheduler description
description: |
Put any and all important information relative to the model/dataset/scheduler
- type: checkboxes
attributes:
label: Open source status
description: |
Please provide the open-source status, which would be very helpful
options:
- label: "The model implementation is available"
- label: "The model weights are available."
- type: textarea
id: additional-info
attributes:
label: Provide useful links for the implementation
description: |
Please provide information regarding the implementation, the weights, and the authors.
Please mention the authors by @gh-username if you're aware of their usernames.
- type: markdown
attributes:
value: |
## Acknowledgement
Thanks for taking the time to fill out this report.
We strongly appreciate you creating a new PR to implement it [**Here**](https://github.com/open-mmlab/mmdetection3d/pulls)!
Please refer to [**Contribution Guide**](https://mmdetection3d.readthedocs.io/en/latest/notes/contribution_guides.html) for contributing.
name: 📚 Documentation
description: Report an issue related to the documentation.
labels: "docs"
title: "[Docs] "
body:
- type: markdown
attributes:
value: |
## Note
For general usage questions or idea discussions, please post it to our [**Forum**](https://github.com/open-mmlab/mmdetection3d/discussions).
Please fill in as **much** of the following form as you're able to. **The clearer the description, the shorter it will take to solve it.**
- type: dropdown
id: branch
attributes:
label: Branch
description: This issue is related to the
options:
- main branch https://mmdetection3d.readthedocs.io/en/latest/
- dev-1.x branch https://mmdetection3d.readthedocs.io/en/dev-1.x/
validations:
required: true
- type: textarea
attributes:
label: 📚 The doc issue
description: >
A clear and concise description the issue.
validations:
required: true
- type: textarea
attributes:
label: Suggest a potential alternative/fix
description: >
Tell us how we could improve the documentation in this regard.
- type: markdown
attributes:
value: |
## Acknowledgement
Thanks for taking the time to fill out this report.
If you have already identified the reason, we strongly appreciate you creating a new PR to fix it [**here**](https://github.com/open-mmlab/mmdetection3d/pulls)!
Please refer to [**Contribution Guide**](https://mmdetection3d.readthedocs.io/en/latest/notes/contribution_guides.html) for contributing.
blank_issues_enabled: false
contact_links:
- name: Common Issues
url: https://mmdetection3d.readthedocs.io/en/latest/notes/faq.html
about: Check if your issue already has solutions
- name: MMDet3D Documentation
url: https://mmdetection3d.readthedocs.io/en/latest/
about: Check if your question is answered in docs
Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.
## Motivation
Please describe the motivation of this PR and the goal you want to achieve through this PR.
## Modification
Please briefly describe what modification is made in this PR.
## BC-breaking (Optional)
Does the modification introduce changes that break the back-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.
## Use cases (Optional)
If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.
## Checklist
1. Pre-commit or other linting tools are used to fix the potential lint issues.
2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects.
4. The documentation has been modified accordingly, like docstring or example tutorials.
name: deploy
on: push
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build-n-publish:
runs-on: ubuntu-latest
if: startsWith(github.event.ref, 'refs/tags')
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.7
uses: actions/setup-python@v2
with:
python-version: 3.7
- name: Install torch
run: pip install torch
- name: Install wheel
run: pip install wheel
- name: Build MMDet3D
run: python setup.py sdist bdist_wheel
- name: Publish distribution to PyPI
run: |
pip install twine
twine upload dist/* -u __token__ -p ${{ secrets.pypi_password }}
name: lint
on: [push, pull_request]
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.7
uses: actions/setup-python@v2
with:
python-version: 3.7
- name: Install pre-commit hook
run: |
pip install pre-commit
pre-commit install
- name: Linting
run: pre-commit run --all-files
- name: Check docstring coverage
run: |
pip install interrogate
interrogate -v --ignore-init-method --ignore-magic --ignore-module --ignore-nested-functions --ignore-regex "__repr__" --fail-under 90 mmdet3d
name: merge_stage_test
on:
push:
paths-ignore:
- 'README.md'
- 'README_zh-CN.md'
- 'docs/**'
- 'demo/**'
- '.dev_scripts/**'
- '.circleci/**'
branches:
- dev-1.x
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cpu_py:
runs-on: ubuntu-22.04
strategy:
matrix:
python-version: [3.8, 3.9]
torch: [1.8.1]
include:
- torch: 1.8.1
torchvision: 0.9.1
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade && pip install wheel
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
- name: Install MMEngine
run: pip install git+https://github.com/open-mmlab/mmengine.git@main
- name: Install MMCV
run: |
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
- name: Install MMDet
run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
- name: Install other dependencies
run: pip install -r requirements/tests.txt
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet3d -m pytest tests/
coverage xml
coverage report -m
build_cpu_pt:
runs-on: ubuntu-22.04
strategy:
matrix:
python-version: [3.7]
torch: [1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.0, 1.13.0]
include:
- torch: 1.8.1
torchvision: 0.9.1
- torch: 1.9.1
torchvision: 0.10.1
- torch: 1.10.1
torchvision: 0.11.2
- torch: 1.11.0
torchvision: 0.12.0
- torch: 1.12.0
torchvision: 0.13.0
- torch: 1.13.0
torchvision: 0.14.0
- python-version: 3.8
torch: 2.0.0
torchvision: 0.15.1
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade && pip install wheel
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
- name: Install MMEngine
run: pip install git+https://github.com/open-mmlab/mmengine.git@main
- name: Install MMCV
run: |
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
- name: Install MMDet
run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
- name: Install other dependencies
run: pip install -r requirements/tests.txt
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet3d -m pytest tests/
coverage xml
coverage report -m
# Only upload coverage report for python3.7 && pytorch1.8.1 cpu
- name: Upload coverage to Codecov
if: ${{matrix.torch == '1.8.1' && matrix.python-version == '3.7'}}
uses: codecov/codecov-action@v1.0.14
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
build_cu102:
runs-on: ubuntu-22.04
container:
image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
strategy:
matrix:
python-version: [3.7]
include:
- torch: 1.8.1
cuda: 10.2
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade && pip install wheel
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install system dependencies
run: apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
- name: Install mmdet3d dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
pip install -r requirements/tests.txt
- name: Build and install
run: pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet3d -m pytest tests/
coverage xml
coverage report -m
build_cu116:
runs-on: ubuntu-22.04
container:
image: pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel
strategy:
matrix:
python-version: [3.7]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade && pip install wheel
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install system dependencies
run: apt-get update && apt-get install -y git ffmpeg libturbojpeg
- name: Install mmdet3d dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
pip install -r requirements/tests.txt
- name: Build and install
run: pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmcv -m pytest tests
coverage xml
coverage report -m
build_cu117:
runs-on: ubuntu-22.04
container:
image: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
strategy:
matrix:
python-version: [3.9]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade && pip install wheel
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install system dependencies
run: apt-get update && apt-get install -y git ffmpeg libturbojpeg
- name: Install mmdet3d dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
pip install -r requirements/tests.txt
- name: Build and install
run: pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmcv -m pytest tests
coverage xml
coverage report -m
build_windows:
runs-on: windows-2022
strategy:
matrix:
python-version: [3.7]
platform: [cpu, cu111]
torch: [1.8.1]
torchvision: [0.9.1]
include:
- python-version: 3.8
platform: cu117
torch: 2.0.0
torchvision: 0.15.1
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: python -m pip install pip --upgrade && pip install wheel
- name: Install lmdb
run: pip install lmdb
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+${{matrix.platform}} torchvision==${{matrix.torchvision}}+${{matrix.platform}} -f https://download.pytorch.org/whl/${{matrix.platform}}/torch_stable.html
- name: Install mmdet3d dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
pip install -r requirements/tests.txt
- name: Build and install
run: pip install -e .
- name: Run unittests and generate coverage report
run: pytest tests/
name: pr_stage_test
on:
pull_request:
paths-ignore:
- 'README.md'
- 'README_zh-CN.md'
- 'docs/**'
- 'demo/**'
- '.dev_scripts/**'
- '.circleci/**'
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cpu:
runs-on: ubuntu-22.04
strategy:
matrix:
python-version: [3.7]
include:
- torch: 1.8.1
torchvision: 0.9.1
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: python -m pip install pip --upgrade && pip install wheel
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
- name: Install MMEngine
run: pip install git+https://github.com/open-mmlab/mmengine.git@main
- name: Install MMCV
run: |
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
- name: Install MMDet
run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
- name: Install other dependencies
run: pip install -r requirements/tests.txt
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet3d -m pytest tests/
coverage xml
coverage report -m
# Upload coverage report for python3.7 && pytorch1.8.1 cpu
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1.0.14
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
build_cu102:
runs-on: ubuntu-22.04
container:
image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
strategy:
matrix:
python-version: [3.7]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade && pip install wheel
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install system dependencies
run: apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
- name: Install mmdet3d dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
pip install -r requirements/tests.txt
- name: Build and install
run: pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet3d -m pytest tests/
coverage xml
coverage report -m
build_cu117:
runs-on: ubuntu-22.04
container:
image: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
strategy:
matrix:
python-version: [3.9]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade && pip install wheel
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install system dependencies
run: apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
- name: Install mmdet3d dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
pip install -r requirements/tests.txt
- name: Build and install
run: pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmdet3d -m pytest tests/
coverage xml
coverage report -m
build_windows:
runs-on: windows-2022
strategy:
matrix:
python-version: [3.7]
platform: [cpu, cu111]
torch: [1.8.1]
torchvision: [0.9.1]
include:
- python-version: 3.8
platform: cu117
torch: 2.0.0
torchvision: 0.15.1
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: python -m pip install pip --upgrade && pip install wheel
- name: Install lmdb
run: pip install lmdb
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+${{matrix.platform}} torchvision==${{matrix.torchvision}}+${{matrix.platform}} -f https://download.pytorch.org/whl/${{matrix.platform}}/torch_stable.html
- name: Install mmdet3d dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
pip install -r requirements/tests.txt
- name: Build and install
run: pip install -e .
- name: Run unittests and generate coverage report
run: pytest tests/
name: test-mim
on:
push:
paths:
- 'model-index.yml'
- 'configs/**'
pull_request:
paths:
- 'model-index.yml'
- 'configs/**'
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cpu:
runs-on: ubuntu-22.04
strategy:
matrix:
python-version: [3.7]
torch: [1.8.1]
include:
- torch: 1.8.1
torch_version: torch1.8
torchvision: 0.9.1
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade && pip install wheel
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
- name: Install openmim
run: pip install openmim
- name: Build and install
run: rm -rf .eggs && mim install -e .
- name: test commands of mim
run: mim search mmdet3d
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
*.ipynb
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/en/_build/
docs/zh_cn/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
# cython generated cpp
data
.vscode
.idea
# custom
*.pkl
*.pkl.json
*.log.json
work_dirs/
exps/
*~
mmdet3d/.mim
# Pytorch
*.pth
# demo
*.jpg
*.png
data/s3dis/Stanford3dDataset_v1.2_Aligned_Version/
data/scannet/scans/
data/sunrgbd/OFFICIAL_SUNRGBD/
*.obj
*.ply
# Waymo evaluation
mmdet3d/evaluation/functional/waymo_utils/compute_detection_metrics_main
mmdet3d/evaluation/functional/waymo_utils/compute_detection_let_metrics_main
mmdet3d/evaluation/functional/waymo_utils/compute_segmentation_metrics_main
repos:
- repo: https://gitee.com/openmmlab/mirrors-flake8
rev: 5.0.4
hooks:
- id: flake8
- repo: https://gitee.com/openmmlab/mirrors-isort
rev: 5.11.5
hooks:
- id: isort
- repo: https://gitee.com/openmmlab/mirrors-yapf
rev: v0.32.0
hooks:
- id: yapf
- repo: https://gitee.com/openmmlab/mirrors-pre-commit-hooks
rev: v4.3.0
hooks:
- id: trailing-whitespace
- id: check-yaml
- id: end-of-file-fixer
- id: requirements-txt-fixer
- id: double-quote-string-fixer
- id: check-merge-conflict
- id: fix-encoding-pragma
args: ["--remove"]
- id: mixed-line-ending
args: ["--fix=lf"]
- repo: https://gitee.com/openmmlab/mirrors-codespell
rev: v2.2.1
hooks:
- id: codespell
- repo: https://gitee.com/openmmlab/mirrors-mdformat
rev: 0.7.9
hooks:
- id: mdformat
args: ["--number"]
additional_dependencies:
- mdformat-openmmlab
- mdformat_frontmatter
- linkify-it-py
- repo: https://gitee.com/openmmlab/mirrors-docformatter
rev: v1.3.1
hooks:
- id: docformatter
args: ["--in-place", "--wrap-descriptions", "79"]
- repo: https://gitee.com/openmmlab/pre-commit-hooks
rev: v0.2.0
hooks:
- id: check-algo-readme
- id: check-copyright
args: ["mmdet3d"]
repos:
- repo: https://github.com/PyCQA/flake8
rev: 5.0.4
hooks:
- id: flake8
- repo: https://github.com/PyCQA/isort
rev: 5.11.5
hooks:
- id: isort
- repo: https://github.com/pre-commit/mirrors-yapf
rev: v0.32.0
hooks:
- id: yapf
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.3.0
hooks:
- id: trailing-whitespace
- id: check-yaml
- id: end-of-file-fixer
- id: requirements-txt-fixer
- id: double-quote-string-fixer
- id: check-merge-conflict
- id: fix-encoding-pragma
args: ["--remove"]
- id: mixed-line-ending
args: ["--fix=lf"]
- repo: https://github.com/codespell-project/codespell
rev: v2.2.1
hooks:
- id: codespell
- repo: https://github.com/executablebooks/mdformat
rev: 0.7.9
hooks:
- id: mdformat
args: [ "--number" ]
additional_dependencies:
- mdformat-openmmlab
- mdformat_frontmatter
- linkify-it-py
- repo: https://github.com/myint/docformatter
rev: v1.3.1
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
version: 2
build:
os: ubuntu-22.04
tools:
python: "3.8"
formats:
- epub
python:
install:
- requirements: requirements/docs.txt
- requirements: requirements/readthedocs.txt
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- name: "MMDetection3D Contributors"
title: "OpenMMLab's Next-generation Platform for General 3D Object Detection"
date-released: 2020-07-23
url: "https://github.com/open-mmlab/mmdetection3d"
license: Apache-2.0
Copyright 2018-2019 Open-MMLab. All rights reserved.
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