Movidius or a GPU would be better

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Then shall i go with nvidea?.if i train a dnn then using with rasp. Pi will enhance its performanc? I also have a 2.7 ghz laptop 2nd gen processor .is that enoughf?

Are you joking, right???

No, you can't add a NVidia video card (it looks like this) to a Raspberry Pi. You can't add it to your laptop neither. You need a desktop computer for that.

And forget about training a neural network on the Raspberry Pi. You can do it on a laptop, but it will still take 10-20x more time than the GPU (a 5th gen. core i7 CPU compared to the nVidia 1060 GPU).

no i meant to say if i train dnn with gpu and implement it on rasp.pi with movidus .this is what iwas saying about .I this possible???

Yes, it's possible.

Thank you @karbani

This is a forum .People with questions and knowledge come here together to share whatever they know, if they can.Stop saying like this is not a place or not a good question bro!.This is place of expert like you and I gave a problem which is not off-topic.Then it dosent meant to say things like this..

@Shivanshu, I think it was just a game of words. Perhaps, @Tetragramm wanted to say that OpenCV doesn't provide tools to train deep learning networks and/or deploy them on NVIDIA GPUs or Intel Movidius. Currently you need to use specific software. So it's hard for OpenCV community to recommend you one of them because non of them is supported by OpenCV for training (GPU) or deployment (NCS or GPU) of neural networks.

Do opencv don't provide GPU support at all ????

OpenCV has plenty of GPU support, but OpenCV is not a deep learning library. The DNN module(s) do not support the GPU, nor do they support training a network, nor do they support anything like the Movidius. Hence, not really the place.

There are very well made libraries such as tensor flow or theano, and excellent wrappers like Keras to help train and use neural networks. There is little reason for OpenCV to compete with them.

Actually, OpenCV's deep learning module supports GPU devices using OpenCL. You may enable DNN_TARGET_OPENCL as a preferable target for computations. Also there is a PR which enables OpenCL target (clDNN) for Intel's Inference Engine backend.