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## Motivation Integrate [BDD100K](https://paperswithcode.com/dataset/bdd100k) dataset. It shares the same classes as Cityscapes, and it's commonly used for evaluating segmentation/detection tasks in driving scenes, such as in [RobustNet](https://arxiv.org/abs/2103.15597), [WildNet](https://github.com/suhyeonlee/WildNet). Enhancement for Add BDD100K Dataset #2808 --------- Co-authored-by: xiexinch <xiexinch@outlook.com>
51 lines
1.8 KiB
Markdown
51 lines
1.8 KiB
Markdown
# BDD100K Dataset
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Support **`BDD100K Dataset`**
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## Description
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Author: CastleDream
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This project implements **`BDD100K Dataset`**
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### Dataset preparing
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Preparing `BDD100K Dataset` dataset following [BDD100K Dataset Preparing Guide](https://github.com/open-mmlab/mmsegmentation/tree/main/projects/mapillary_dataset/docs/en/user_guides/2_dataset_prepare.md#bdd100k)
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```none
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mmsegmentation/data
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└── bdd100k
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├── images
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│ └── 10k
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│ ├── test [2000 entries exceeds filelimit, not opening dir]
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│ ├── train [7000 entries exceeds filelimit, not opening dir]
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│ └── val [1000 entries exceeds filelimit, not opening dir]
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└── labels
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└── sem_seg
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├── colormaps
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│ ├── train [7000 entries exceeds filelimit, not opening dir]
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│ └── val [1000 entries exceeds filelimit, not opening dir]
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├── masks
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│ ├── train [7000 entries exceeds filelimit, not opening dir]
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│ └── val [1000 entries exceeds filelimit, not opening dir]
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├── polygons
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│ ├── sem_seg_train.json
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│ └── sem_seg_val.json
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└── rles
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├── sem_seg_train.json
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└── sem_seg_val.json
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```
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### Training commands
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```bash
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%cd mmsegmentation
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!python tools/train.py projects/bdd100k_dataset/configs/pspnet_r50-d8_4xb2-80k_bdd100k-512x1024.py\
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--work-dir your_work_dir
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```
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## Thanks
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- [\[Datasets\] Add Mapillary Vistas Datasets to MMSeg Core Package. #2576](https://github.com/open-mmlab/mmsegmentation/pull/2576/files)
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- [\[Feature\] Support CIHP dataset #1493](https://github.com/open-mmlab/mmsegmentation/pull/1493/files)
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