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谢昕辰 c448646a92
[Doc] Refine doc and fix links (#2821) 
## Motivation

- Create the `main` branch

## Modification

Modify links from `dev-1.x` to `main`
 		2023-03-31 16:26:30 +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 [Doc] Refine doc and fix links (#2821) 2023-03-31 16:26:30 +08:00
mmseg/datasets [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package. (#2576) 2023-03-15 14:44:38 +08:00
README.md [Doc] Refine doc and fix links (#2821) 2023-03-31 16:26:30 +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.