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Intel movidius neural compute stick 3.
Powered by the intel movidius myriad x vpu the intel neural compute stick 2 accelerates deep learning development for edge devices.
Speed prototyping for your deep neural network application with the new intel neural compute stick 2 ncs 2.
Check out the intel movidius neural compute app.
Based on the intel movidius myriad x vpu and supported by the intel distribution of openvino toolkit the intel ncs 2 delivers greater performance boost over the previous generation.
It is compatible with two dnn frameworks such as tensorflow and caffe.
Since the intel movidius neural compute stick and ncsdk use 16 bit floating point data it must convert the incoming 32 bit floating point data to 16 bit floats.
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The frameworks standards technique used are.
The movidius ncs compute capability comes from its myriad 2 vpu vision processing unit.
Purchase the previous generation intel movidius neural compute stick ncs.
It can be used in ubuntu 16 04 or raspberry pi 3.
The movidius neural compute stick ncs is produced by intel and can be run without an internet connection.
As you can see from the above graph the higher end mobilenets with depthmultiplier 1 0 and input image size 224x224 with a top5 accuracy of 89 5 runs at 9x the speed fps when an intel movidius neural compute stick is attached to the raspberry pi compared to running it natively on the raspberry pi 3 using the cpu.
Profiling tuning and compiling a dnn on a development computer with the tools are provided in the intel movidius neural compute sdk.
The conversion from fp32 to fp16 can cause minor rounding issues to occur in the inference results and this is where the mvnccheck tool can come in handy.
Purchase your intel neural compute stick 2 from one of our trusted partners.
Follow the step by step instructions below to setup your intel neural compute stick 2 intel ncs 2 or the original intel movidius ncs.
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