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    2021.05.25

    DACON Monthly Computer Vision Anomaly Detection Algorithm Competition

    Algorithm | CV | Classification | Anomaly detection | Macro f1 score

    Practice
    Overview Data Code (share) Talk Leaderboard

    Setup D-0

     

    [BASELINE] EfficientNet_b0을 활용한 분류 모델[public:0.67091]

    DACONIO
    2022.04.01 08:54 7,696 Views language
    comments 4

    안녕하세요😊 데이콘입니다.

    이번 대회의 베이스라인 모델은 최정명님의 코드를 참고하여 작성되었습니다.
    https://dacon.io/competitions/official/235870/codeshare/4171?page=3&dtype=recent

    베이스라인은 참고용이며, 다양한 모델과 창의적인 방법으로 모델을 고도화 해주시기 바랍니다.

    감사합니다.

    Code
    4 Comments
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    민균
    2022.04.02 17:42

    Deleted Comment

    민균
    2022.04.02 17:50

    실수로 삭제해 다시 올립니다. 
    Baseline 코랩으로 돌리려니 
    model=Network().to(deivce)부분에서 
    계속 램이 초과돼서 초기화되는데 해결 방법 있을까요?

    민균
    2022.04.04 16:50

    img load 부분에서 이미지 사이즈를 512x512로 저장하기 때문에 램을 많이 잡아먹었던 것 같습니다.
    사이즈 좀 줄여보니 baseline은 돌아가네요... ㅎㅎ;; 

    건국대김태형
    2022.04.07 17:20

    감사합니다.
    import gc
    gc.collect()
    torch.cuda.empty_cache()
    이용하시면 이미지 사이즈 변경 후에 GPU 캐시 비워주실수 있습니다.
    저는 몰랐던 정보라 올려드려요!

    📣 The comment input field has been moved to the top of the comment list!
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    [BASELINE] EfficientNet_b0을 활용한 분류 모델[public:0.67091]
    Competition - 월간 데이콘 Computer Vision 이상치 탐지 알고리즘 경진대회
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