kaggle_rsna2019_3rd_solution
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파일 탐색기
최종 버전 다운로드 (.zip)- demo.sh
- predict.sh
- preprocess.sh
- stack.sh
- train.sh
- exp10_seres_threecenter_rescale_512.py
- exp16_seres_concat.py
- exp17_7_external.py
- exp18_seres_concat_three.py
- exp19_seres_doubleconcat.py
- exp21_seres_doublepre.py
- exp22_seres_doublepost.py
- exp23_seres_doublepre_three.py
- exp24_seres_doublepost_three.py
- exp25_seres_conc3.py
- exp26_seres_concall_prepost.py
- exp27_seres_conc5.py
- exp28_seres101_16.py
- exp32_seres_conc_any.py
- exp34_seres_threetarget.py
- exp36_seres_double_threetarget.py
- exp7_seres_precenter_512.py
- ID_000000e27.dcm
- ID_0eae10ac8.dcm
- ID_12947e934.dcm
- ID_23bd143e1.dcm
- ID_23e3a79dc.dcm
- ID_2665a50a9.dcm
- ID_2fb00f5c0.dcm
- ID_38ed6bf3c.dcm
- ID_52228ef51.dcm
- ID_6a7c5ce34.dcm
- ID_6cd71052a.dcm
- ID_7543b323a.dcm
- ID_75a87b49d.dcm
- ID_763d60b09.dcm
- ID_8579d8171.dcm
- ID_8c1e69910.dcm
- ID_953bfd576.dcm
- ID_99a500a3b.dcm
- ID_99d1d5bfb.dcm
- ID_9e2de9b19.dcm
- ID_a02466c06.dcm
- ID_b5745bb6b.dcm
- ID_b6e603f6b.dcm
- ID_b9070ba98.dcm
- ID_c13bfb3f7.dcm
- ID_d66878dd8.dcm
- ID_dc10917c3.dcm
- ID_dc333386b.dcm
- ID_ddb2a7bb4.dcm
- ID_e307f7fc1.dcm
- ID_f3368134c.dcm
- ID_fb8152b48.dcm
- df_tst_st2.fth
- stage_2_sample_submission.csv
- test_concat_st2.csv
- external.sh
- all_concat.py
- all_concat_test.py
- concat3.py
- concat3_test.py
- concat5.py
- concat5_test.py
- concat_prepost.py
- concat_prepost_test.py
- exp10.py
- exp10_for_train.py
- exp16.py
- exp16_for_train.py
- exp17.py
- exp17_for_train.py
- exp18.py
- exp18_for_train.py
- exp19.py
- exp19_for_train.py
- exp21.py
- exp21_for_train.py
- exp22.py
- exp22_for_train.py
- exp23.py
- exp23_for_train.py
- exp24.py
- exp24_fot_train.py
- exp25.py
- exp25_fot_train.py
- exp26.py
- exp26_for_train.py
- exp27.py
- exp27_for_train.py
- exp28.py
- exp32.py
- exp34.py
- exp36.py
- exp7_externalv2.py
- creating-a-metadata-dataframe-fastai.py
- creating_demo.py
- make_user_df.py
- preprocess_csv.py
- dataset_concat.py
- dataset_concmean.py
- datasets.py
- layer.py
- logger.py
- model.py
- trainer.py
- utils.py
- averaging.py
- make_user_stackingdata.py
- make_user_stackingdata_demo.py
- user_stacking.py
- user_stacking_demo.py
- .gitignore
- README.md
- requirements.txt
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/okotaku/kaggle_rsna2019_3rd_solution
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd kaggle_rsna2019_3rd_solution
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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