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Benchmark for DeepLearning anomaly detection

License: MIT License

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deep-learning machine-learning anomaly-detection mobilenetv2

deepanomalydetection_benchmark's Introduction

DeepAnomalyDetection_benchmark

Benchmark for DeepLearning anomaly detection

fig1 fig2

Click here for details(Japanese).

AdaCos_benchmark

fig3 fig4

Click here for details(Japanese).

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deepanomalydetection_benchmark's Issues

train とtestが定義されている場所を教えてください

以下に出てくるtrainとtestはどこで定義されていますか?
定義されていない場合、trainは異常も含む全学習データ、testは異常も含む全テストデータという理解でよろしいでしょうか。

    """
    テスト用
    model: 特徴抽出用モデル(predict)
    """
    model = Model(model.get_layer(index=0).input, model.get_layer(index=-4).output) # Arcfaceを削除
    
    # 正常vectorの呼び出し
    hold_vector = model.predict(train)# shape(len(train), 1280)

    # test_vectorの呼び出し
    predict_vector = model.predict(test)# shape(len(test), 1280)

    score = []

    for i in range(len(predict_vector)):
        cos_similarity = cosine_similarity(predict_vector[i], hold_vector) # shape(len(test), len(train))
        score.append(np.max(cos_similarity))

    return np.array(score)

Mistake in AdaCos layer implementation

Hello
how are you?
Thanks for contributing your project.
I have a question.
u said that the parameters of AdaCos are adjusted automatically.
However, I found that the parameters are fixed in your project.
Could u explain this in detail.
Thanks

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