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Published 20 hours ago • verified publisher icon PINTO0309
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[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Ten...

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Error when checking target: expected dense_1 to have 4 dimensions, but got array with shape (128, 10)

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**[Required]** Your device (RaspberryPi3, LaptopPC, or other device name): Laptop (MacBook Pro 15" Early 2013 **[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name): x86_64 **[Required]** Your OS...

trittsv avatar trittsv

Is it avaliable for other domain data? Like vehicle runtime dataset.

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Not the image domain. I have a dataset that has 400+ colunms and 10k+ rows. But it's not image dataset. I wanna know if this works for it as anomaly...

stellarkey avatar stellarkey

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

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