3rd Place Solution of the Traffic4Cast Core Challenge @ NeurIPS 2021

Last update: Jul 25, 2022

Related tags

Deep Learning traffic4cast-2021

Overview

3rd Place Solution of Traffic4Cast 2021 Core Challenge

This is the code for our solution to the NeurIPS 2021 Traffic4Cast Core Challenge.

Paper

Our solution is described in the "Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation" paper.

If you wish to cite this code, please do it as follows:

@misc{konyakhin2021solving,
      title={Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation}, 
      author={Vsevolod Konyakhin and Nina Lukashina and Aleksei Shpilman},
      year={2021},
      eprint={2111.03421},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Competition and Demonstration Track @ NeurIPS 2021

Learnt parameters

The models' learnt parameters are available by the link: https://drive.google.com/file/d/1zD0CecX4P3v5ugxaHO2CQW9oX7_D4BCa/view?usp=sharing
Please download the archive and unzip it into the weights folder of the repository, so its structure looks like the following:

├── ...
├── traffic4cast
├── weights
│   ├── densenet                 
│   │   ├── BERLIN_1008_1430_densenet_unet_mse_best_val_loss_2019=78.4303.pth                     
│   │   ├── CHICAGO_1010_1730_densenet_unet_mse_best_val_loss_2019=41.1579.pth
│   │   └── MELBOURNE_1009_1619_densenet_unet_mse_best_val_loss_2019=25.7395.pth    
│   ├── effnetb5
│   │   ├── BERLIN_1008_1430_efficientnetb5_unet_mse_best_val_loss_2019=80.3510.pth    
│   │   ├── CHICAGO_1012_1035_efficientnetb5_unet_mse_best_val_loss_2019=41.6425.pth
│   │   ├── ISTANBUL_1012_2315_efficientnetb5_unet_mse_best_val_loss_2019=55.7918.pth    
│   │   └── MELBOURNE_1010_0058_efficientnetb5_unet_mse_best_val_loss_2019=26.0132.pth    
│   └── unet
│       ├── BERLIN_0806_1425_vanilla_unet_mse_best_val_loss_2019=0.0000_v5.pth    
│       ├── CHICAGO_0805_0038_vanilla_unet_mse_best_val_loss_2019=42.6634.pth
│       ├── ISTANBUL_0805_2317_vanilla_unet_mse_best_val_loss_2019=0.0000_v4.pth
│       └── MELBOURNE_0804_1942_vanilla_unet_mse_best_val_loss_2019=26.7588.pth
├── ...

Submission reproduction

To generate the submission file, please run the following script:

# $1 - absolute path to the dataset, $2 device to run inference
sh submission.sh {absolute path to dataset} {cpu, cuda}
# Launch example
sh submission.sh /root/data/traffic4cast cuda

The above sctipt generates the submission file submission/submission_all_unets_da_none_mpcpm1_mean_temporal_{date}.zip, which gave us the best MSE of 49.379068541527 on the final leaderboard.

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Bump ipython from 7.21.0 to 7.31.1
Bumps ipython from 7.21.0 to 7.31.1.

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Bump pip from 20.2.4 to 21.1
Bumps pip from 20.2.4 to 21.1.

Changelog

Sourced from pip's changelog.

21.1 (2021-04-24)

Process

Start installation scheme migration from distutils to sysconfig. A warning is implemented to detect differences between the two implementations to encourage user reports, so we can avoid breakages before they happen.

Features

Add the ability for the new resolver to process URL constraints. ([#8253](https://github.com/pypa/pip/issues/8253) <https://github.com/pypa/pip/issues/8253>_)

Add a feature --use-feature=in-tree-build to build local projects in-place when installing. This is expected to become the default behavior in pip 21.3; see Installing from local packages <https://pip.pypa.io/en/stable/user_guide/#installing-from-local-packages>_ for more information. ([#9091](https://github.com/pypa/pip/issues/9091) <https://github.com/pypa/pip/issues/9091>_)

Bring back the "(from versions: ...)" message, that was shown on resolution failures. ([#9139](https://github.com/pypa/pip/issues/9139) <https://github.com/pypa/pip/issues/9139>_)

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Fix pip freeze permission denied error in order to display an understandable error message and offer solutions. ([#8418](https://github.com/pypa/pip/issues/8418) <https://github.com/pypa/pip/issues/8418>_)

Correctly uninstall script files (from setuptools' scripts argument), when installed with --user. ([#8733](https://github.com/pypa/pip/issues/8733) <https://github.com/pypa/pip/issues/8733>_)

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--user is no longer suggested incorrectly when pip fails with a permission error in a virtual environment. ([#9409](https://github.com/pypa/pip/issues/9409) <https://github.com/pypa/pip/issues/9409>_)

Fix incorrect reporting on Requires-Python conflicts. ([#9541](https://github.com/pypa/pip/issues/9541) <https://github.com/pypa/pip/issues/9541>_)

... (truncated)

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Codebase for the solution that won first place and was awarded the most human-like agent in the 2021 NeurIPS Competition MineRL BASALT Challenge.

KAIROS MineRL BASALT Codebase for the solution that won first place and was awarded the most human-like agent in the 2021 NeurIPS Competition MineRL B