https://github.com/jahongir7174/vip2021

VIPriors Instance Segmentation Workshop | ICCV 2021
https://github.com/jahongir7174/vip2021

iccv2021 instance-segmentation

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VIPriors Instance Segmentation Workshop | ICCV 2021

• Host: GitHub
• URL: https://github.com/jahongir7174/vip2021
• Owner: jahongir7174
• License: mit
• Created: 2021-06-28T16:20:57.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-10-04T03:18:52.000Z (about 4 years ago)
• Last Synced: 2025-03-31T18:51:36.186Z (7 months ago)
• Topics: iccv2021, instance-segmentation
• Language: Python
• Homepage: https://arxiv.org/abs/2110.00470
• Size: 1.77 MB
• Stars: 11
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
This is the source code of 1st place solution for Instance Segmentation track in [ICCV 2021 | VIPriors](https://competitions.codalab.org/competitions/33340) challenge

#### Steps

* Place `train`, `val`, `test`, `annotation` folders into `../Dataset/Ins2021` folder

    * `train`, `val` and `test` folders contain provided train, val, test images, respectively

    * `annotation` folder contains provided `train.json`, `val.json` and `test.json` files

* Run `python tools/parse.py` for generating train dataset

* Run `bash ./tools/dist_train.sh ./configs/exp07.py 3` for reproducing the training result

* Run `bash ./tools/dist_test.sh ./configs/exp07.py ./weights/exp07/epoch_73.pth 3` for generating submission file

#### Dataset structure

    ├── Ins2021 

        ├── train

        ├── val

        ├── test

        ├── annotation

            ├── train.json

            ├── val.json

            ├── test.json