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Tianlong Ai e394e2aa28
CodeCamp #1555[Feature] Support Mapillary Vistas Dataset (#2484) 
## Support `Mapillary Vistas Dataset`

## Motivation

Support  **`Mapillary Vistas Dataset`**
Dataset Paper link : https://ieeexplore.ieee.org/document/9878466/
Download and more information view
https://www.mapillary.com/dataset/vistas
```
@InProceedings{Neuhold_2017_ICCV,
author = {Neuhold, Gerhard and Ollmann, Tobias and Rota Bulo, Samuel and Kontschieder, Peter},
title = {The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}
```

## Modification

Add `Mapillary_dataset` in `mmsegmentation/projects`
Add `configs/_base_/mapillary_v1_2.py` and
`configs/_base_/mapillary_v2_0.py`
Add `configs/deeplabv3plus_r18-d8_4xb2-80k_mapillay-512x1024.py` to test
training and testing on Mapillary datasets
Add `docs/en/user_guides/2_dataset_prepare.md` , add Mapillary Vistas
Dataset Preparing and Structure.
Add `tools/dataset_converters/mapillary.py` to convert RGB labels to
Mask labels.

Co-authored-by: 谢昕辰 <xiexinch@outlook.com>
 		2023-01-20 14:25:51 +08:00
..
configs CodeCamp #1555[Feature] Support Mapillary Vistas Dataset (#2484) 2023-01-20 14:25:51 +08:00
docs/en/user_guides CodeCamp #1555[Feature] Support Mapillary Vistas Dataset (#2484) 2023-01-20 14:25:51 +08:00
mmseg/datasets CodeCamp #1555[Feature] Support Mapillary Vistas Dataset (#2484) 2023-01-20 14:25:51 +08:00
tools/dataset_converters CodeCamp #1555[Feature] Support Mapillary Vistas Dataset (#2484) 2023-01-20 14:25:51 +08:00
README.md CodeCamp #1555[Feature] Support Mapillary Vistas Dataset (#2484) 2023-01-20 14:25:51 +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
  |   │   │   │   ├── instances
  |   │   │   │   ├── labels
  |   │   │   │   ├── labels_mask
  |   │   │   │   └── panoptic
  │   │   │   ├── v2.0
  |   │   │   │   ├── instances
  |   │   │   │   ├── labels
  |   │   │   │   ├── labels_mask
  |   │   │   │   ├── panoptic
  |   │   │   │   └── polygons

Training commands with deeplabv3plus_r101-d8_4xb2-240k_mapillay-512x1024.py

# Dataset train commands
# at `mmsegmentation` folder
bash tools/dist_train.sh projects/mapillary_dataset/configs/deeplabv3plus_r101-d8_4xb2-240k_mapillay-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.