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 | 1 | initial version |
Compiler => Visual Studio 2015
I want to use LSTM network to classify sequence data in OpenCV, but I have seen many tutorials are image classification. The general way is to use Imread to read the image first, use blobFromImage/blobFromImages to convert the image to blob, then pass the blob. Into the network forward. My problem is that the LSTM network input is not an image, it is a sequence of data, 1024*nImages variable size input data, how to pass into the network for forward?
I want to use LSTM network to classify sequence data in OpenCV, but I have seen many tutorials are image classification. The general way is to use Imread to read the image first, use blobFromImage/blobFromImages to convert the image to blob, then pass the blob. Into the network forward. My problem is that the LSTM network input is not an image, it is a sequence of data, 1024*nImages variable size input data, how to pass into the network for forward?
I want to use LSTM network to classify sequence data in OpenCV, but I have seen many tutorials are image classification. The general way is to use Imread to read the image first, use blobFromImage/blobFromImages to convert the image to blob, then pass the blob. Into the network forward. My problem is that the LSTM network input is not an image, it is a sequence of data, 1024*nImages variable size input data, how to pass into the network for forward?
| | 5 | No.5 Revision |
I want to use LSTM network to classify sequence data in OpenCV, but I have seen many tutorials are image classification. The general way is to use Imread to read the image first, use blobFromImage/blobFromImages to convert the image to blob, then pass the blob. Into the network forward. My problem is that the LSTM network input is not an image, it is a sequence of data, 1024*nImages variable size input data, how to pass into the network for forward?
