MTCNN model with memorydatalayer not efficient on ubuntu implemented caffe C++ code

happynear / caffe-windows

Configure Caffe in one hour for Windows users.

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MTCNN model with memorydatalayer not efficient on ubuntu implemented caffe C++ code #248

Closed Dicksonchin93 closed 1 year ago

Dicksonchin93 commented 6 years ago

I tested your model which added in extra memorydatalayer and your bounding box regression layer. It seems that it takes longer time to perform the whole forward pass and outputs the final predicted bounding box location. The original model implementation in C++ is faster by 5 to 6 times. Using the densenet method does make it faster a bit though. Any thoughts on why is it slower?

Dicksonchin93 commented 6 years ago

I have tried without the memorydatalayer, and its still slow in initializing the net input with data and also slow in forward pass.

wendydadong commented 1 year ago

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janemyleng commented 1 year ago

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