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fungi-classification

https://github.com/wolfstefan/fungi-classification

Science Score: 44.0%

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Repository

Basic Info
  • Host: GitHub
  • Owner: wolfstefan
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 9.15 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created about 4 years ago · Last pushed about 4 years ago
Metadata Files
Readme License Citation

README.md

Transformer-based Fine-Grained Fungi Classification in an Open-Set Scenario

This repository is targeted towards solving the FungiCLEF 2022 (https://www.kaggle.com/competitions/fungiclef2022/) challenge. It is based on MMClassification (https://github.com/open-mmlab/mmclassification).

Pre-trained models can be found under Releases (https://github.com/wolfstefan/fungi-classification/releases).

Usage

Installation

bash conda create -n mmcls-fgvc python=3.8 -y conda activate mmcls-fgvc conda install pytorch torchvision cudatoolkit=10.2 -c pytorch-lts pip install -e .

Data

The challenge data has to be downloaded and put into data/fungiclef2022/.

Training

bash bash tools/dist_train.sh configs/fungi/swin_large_b12x6-fp16_fungi+val_res_384_cb_epochs_6.py 6

Inference

bash python tools/test_generate_result_pre-consensus_tta.py work_dirs/swin_large_b12x6-fp16_fungi+val_res_384_cb_epochs_6/swin_large_b12x6-fp16_fungi+val-test_res_384_cb_epochs_6.py work_dirs/swin_large_b12x6-fp16_fungi+val_res_384_cb_epochs_6/best_f1_score_epoch_6.pth results.csv

Owner

  • Login: wolfstefan
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "OpenMMLab's Image Classification Toolbox and Benchmark"
authors:
  - name: "MMClassification Contributors"
version: 0.15.0
date-released: 2020-07-09
repository-code: "https://github.com/open-mmlab/mmclassification"
license: Apache-2.0

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Dependencies

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docker/Dockerfile docker
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docker/serve/Dockerfile docker
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requirements/mminstall.txt pypi
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requirements/readthedocs.txt pypi
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