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Tianlong Ai 8c89ff3dd1
[Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package. (#2576) 
## [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package .
## Motivation
Add Mapillary Vistas Datasets to core package.
Old PR #2484 

## Modification
- Add Mapillary Vistas Datasets to core package.
- Delete `tools/datasets_convert/mapillary.py` , dataset does't need
converting.
- Add `schedule_240k.py`  config.
- Add configs files.  
  ```none
  deeplabv3plus_r101-d8_4xb2-240k_mapillay_v1-512x1024.py
  deeplabv3plus_r101-d8_4xb2-240k_mapillay_v2-512x1024.py
  maskformer_swin-s_4xb2-240k_mapillary_v1-512x1024.py
  maskformer_swin-s_4xb2-240k_mapillary_v2-512x1024.py
  maskformer_r101-d8_4xb2-240k_mapillary_v1-512x1024.py
  maskformer_r101-d8_4xb2-240k_mapillary_v2-512x1024.py
  pspnet_r101-d8_4xb2-240k_mapillay_v1-512x1024.py
  pspnet_r101-d8_4xb2-240k_mapillay_v2-512x1024.py
  ```
- Synchronized changes to `projects/mapillary_datasets`

---------

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
Co-authored-by: xiexinch <xiexinch@outlook.com>
 		2023-03-15 14:44:38 +08:00
..
configs [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package. (#2576) 2023-03-15 14:44:38 +08:00
docs/en/user_guides [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package. (#2576) 2023-03-15 14:44:38 +08:00
mmseg/datasets [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package. (#2576) 2023-03-15 14:44:38 +08:00
README.md [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package. (#2576) 2023-03-15 14:44:38 +08:00

README.md

Mapillary Vistas Dataset

Support Mapillary Vistas Dataset

Description

Author: AI-Tianlong

This project implements Mapillary Vistas Dataset

Dataset preparing

Preparing Mapillary Vistas Dataset dataset following Mapillary Vistas Dataset Preparing Guide

  mmsegmentation
  ├── mmseg
  ├── tools
  ├── configs
  ├── data
  │   ├── mapillary
  │   │   ├── training
  │   │   │   ├── images
  │   │   │   ├── v1.2
  |   │   │   │   ├── instances
  |   │   │   │   ├── labels
  |   │   │   │   ├── labels_mask
  |   │   │   │   └── panoptic
  │   │   │   ├── v2.0
  |   │   │   │   ├── instances
  |   │   │   │   ├── labels
  |   │   │   │   ├── labels_mask
  |   │   │   │   ├── panoptic
  |   │   │   │   └── polygons
  │   │   ├── validation
  │   │   │   ├── images
  │   │   │   ├── v1.2
  |   │   │   │   ├── instances
  |   │   │   │   ├── labels
  |   │   │   │   ├── labels_mask
  |   │   │   │   └── panoptic
  │   │   │   ├── v2.0
  |   │   │   │   ├── instances
  |   │   │   │   ├── labels
  |   │   │   │   ├── labels_mask
  |   │   │   │   ├── panoptic
  |   │   │   │   └── polygons

Training commands

# Dataset train commands
# at `mmsegmentation` folder
bash tools/dist_train.sh projects/mapillary_dataset/configs/deeplabv3plus_r101-d8_4xb2-240k_mapillay_v1-512x1024.py 4

Checklist

  • Milestone 1: PR-ready, and acceptable to be one of the projects/.

    • Finish the code

    • Basic docstrings & proper citation

    • Test-time correctness

    • A full README

  • Milestone 2: Indicates a successful model implementation.

    • Training-time correctness

  • Milestone 3: Good to be a part of our core package!

    • Type hints and docstrings

    • Unit tests

    • Code polishing

    • Metafile.yml

  • Move your modules into the core package following the codebase's file hierarchy structure.

  • Refactor your modules into the core package following the codebase's file hierarchy structure.