GitHub - PINTO0309/Keras-OneClassAnomalyDetection: [5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caff

GitHub - PINTO0309/Keras-OneClassAnomalyDetection: [5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caff

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/...

1 mentions: @PINTO03091
Date: 2020/01/04 18:51

Referring Tweets

@PINTO03091 @shinmura0 さんが1年前に考案された1クラスによる異常検知モデルをふざけて Integer Quant してみました。 RaspberryPi4 aarch64 の環境下で、 270 FPS(3.7ms/推論) という結果になり、当時のCorei7やGPUより1.5倍速く推論できるようになりました。ファナックに勝てるかな。 t.co/3ksD1QvS5i t.co/WYHGbbLCEL

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