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# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
*.ipynb | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
var/ | ||
wheels/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
MANIFEST | ||
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# 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 | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*.cover | ||
.hypothesis/ | ||
.pytest_cache/ | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
db.sqlite3 | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/en/_build/ | ||
docs/zh_cn/_build/ | ||
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# PyBuilder | ||
target/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
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# pyenv | ||
.python-version | ||
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# celery beat schedule file | ||
celerybeat-schedule | ||
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# SageMath parsed files | ||
*.sage.py | ||
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# Environments | ||
.env | ||
.venv | ||
env/ | ||
venv/ | ||
ENV/ | ||
env.bak/ | ||
venv.bak/ | ||
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# Spyder project settings | ||
.spyderproject | ||
.spyproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# mkdocs documentation | ||
/site | ||
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# mypy | ||
.mypy_cache/ | ||
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# cython generated cpp | ||
data | ||
.vscode | ||
.idea | ||
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# custom | ||
*.pkl | ||
*.pkl.json | ||
*.log.json | ||
work_dirs/ | ||
exps/ | ||
*~ | ||
mmdet3d/.mim | ||
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# Pytorch | ||
*.pth | ||
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# demo | ||
*.jpg | ||
*.png | ||
data/s3dis/Stanford3dDataset_v1.2_Aligned_Version/ | ||
data/scannet/scans/ | ||
data/sunrgbd/OFFICIAL_SUNRGBD/ | ||
*.obj | ||
*.ply | ||
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# Waymo evaluation | ||
mmdet3d/core/evaluation/waymo_utils/compute_detection_metrics_main |
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repos: | ||
- repo: https://github.com/PyCQA/flake8 | ||
rev: 3.8.3 | ||
hooks: | ||
- id: flake8 | ||
- repo: https://github.com/PyCQA/isort | ||
rev: 5.10.1 | ||
hooks: | ||
- id: isort | ||
- repo: https://github.com/pre-commit/mirrors-yapf | ||
rev: v0.30.0 | ||
hooks: | ||
- id: yapf | ||
- repo: https://github.com/pre-commit/pre-commit-hooks | ||
rev: v3.1.0 | ||
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: v2.1.0 | ||
hooks: | ||
- id: codespell | ||
- repo: https://github.com/executablebooks/mdformat | ||
rev: 0.7.14 | ||
hooks: | ||
- id: mdformat | ||
args: [ "--number" ] | ||
additional_dependencies: | ||
- mdformat-gfm | ||
- 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 |
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version: 2 | ||
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formats: all | ||
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python: | ||
version: 3.7 | ||
install: | ||
- requirements: requirements/docs.txt | ||
- requirements: requirements/runtime.txt | ||
- requirements: requirements/readthedocs.txt |
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include mmdet3d/.mim/model-index.yml | ||
include requirements/*.txt | ||
recursive-include mmdet3d/.mim/ops *.cpp *.cu *.h *.cc | ||
recursive-include mmdet3d/.mim/configs *.py *.yml | ||
recursive-include mmdet3d/.mim/tools *.sh *.py |
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## Top-Down Beats Bottom-Up in 3D Instance Segmentation | ||
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**News**: | ||
* :fire: February, 2023. Source code has been published. | ||
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This repository contains an implementation of TD3D, a 3D instance segmentation method introduced in our paper: | ||
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> **Top-Down Beats Bottom-Up in 3D Instance Segmentation**<br> | ||
> [Maksim Kolodiazhnyi](https://github.com/col14m), | ||
> [Danila Rukhovich](https://github.com/filaPro), | ||
> [Anna Vorontsova](https://github.com/highrut), | ||
> [Anton Konushin](https://scholar.google.com/citations?user=ZT_k-wMAAAAJ) | ||
> <br> | ||
> Samsung AI Center Moscow <br> | ||
> | ||
### Installation | ||
For convenience, we provide a [Dockerfile](docker/Dockerfile). | ||
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Alternatively, you can install all required packages manually. This implementation is based on [mmdetection3d](https://github.com/open-mmlab/mmdetection3d) framework. | ||
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Please refer to the original installation guide [getting_started.md](docs/getting_started.md), including MinkowskiEngine installation, replacing open-mmlab/mmdetection3d with samsunglabs/td3d. | ||
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Most of the `TD3D`-related code locates in the following files: | ||
[detectors/td3d_instance_segmentor.py](mmdet3d/models/detectors/td3d_instance_segmentor.py), | ||
[necks/ngfc_neck.py](mmdet3d/models/necks/ngfc_neck.py), | ||
[decode_heads/td3d_instance_head.py](mmdet3d/models/decode_heads/td3d_instance_head.py). | ||
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### Getting Started | ||
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Please see [getting_started.md](docs/getting_started.md) for basic usage examples. | ||
We follow the `mmdetection3d` data preparation protocol described in [scannet](data/scannet), [s3dis](data/s3dis). | ||
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**Training** | ||
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To start training, run [train](tools/train.py) with `TD3D` [configs](configs/td3d_is): | ||
```shell | ||
python tools/train.py configs/td3d_is/td3d_is_scannet-3d-18class.py | ||
``` | ||
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**Testing** | ||
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Test pre-trained model using [test](tools/test.py) with `TD3D` [configs](configs/td3d_is). For best quality on Scannet and S3DIS, set `score_thr` to `0.1` and `nms_pre` to `1200` in configs. For best quality on Scannet200, set `score_thr` to `0.07` and `nms_pre` to `300`: | ||
```shell | ||
python tools/test.py configs/td3d_is/td3d_is_scannet-3d-18class.py \ | ||
work_dirs/td3d_is_scannet-3d-18class/latest.pth --eval mAP | ||
``` | ||
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**Visualization** | ||
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Visualizations can be created with [test](tools/test.py) script. | ||
For better visualizations, you may set `score_thr` to `0.20` and `nms_pre` to `200` in configs: | ||
```shell | ||
python tools/test.py configs/td3d_is/td3d_is_scannet-3d-18class.py \ | ||
work_dirs/td3d_is_scannet-3d-18class/latest.pth --eval mAP --show \ | ||
--show-dir work_dirs/td3d_is_scannet-3d-18class | ||
``` | ||
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### Models (quality on validation subset) | ||
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| Dataset | mAP@0.25 | mAP@0.5 | mAP | Download | | ||
|:-------:|:--------:|:-------:|:--------:|:--------:| | ||
| ScanNet | 81.3 | 71.1 | 46.2 | [model]() | [config]() | | ||
| S3DIS (5 area) | 82.8 | 66.5 | 47.4 | [model]() | [config]() | | ||
| S3DIS (5 area) <br /> (ScanNet pretrain) | 85.6 | 75.5 | 61.1 | [model]() | [config]() | | ||
| Scannet200 | 39.7 | 33.3 | 22.2 | [model]() | [config]() | | ||
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<!-- ### Example Detections | ||
<p align="center"><img src="./resources/github.png" alt="drawing" width="90%"/></p> --> | ||
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<!-- ### Citation | ||
If you find this work useful for your research, please cite our paper: | ||
``` | ||
``` --> |
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