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idata
Community Manager
301 Views

Accuracy during Training and on NCS not same

Folks,

 

I am having problem deploying a color identifying network on the NCS. From training using Caffe I am getting around 94% accuracy but after generating the graph file and deployed it in NCS for classification it is classifying images wrongly, no where close to 94%. All the layers in the network are supported by NCS. I couldn't figure out where the problem is.

 

Could someone help us pin point where the problem is, the NCS, or the compile tool, or the network itself? I have attached the network and the deploy prototxt, and also the label text file.

 

Here is the trained model: https://drive.google.com/file/d/1yTflweZwjL5Gku9X8c5o2zrjbzt0KTlx/view?ts=5aaffa01

 

Thank you so much in advance.

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1 Reply
idata
Community Manager
35 Views

@mulex What are you using to check the NCS result for this network? Just curious. Can you post the log for your NCS result here? I will be debugging your issue and I'll get back to you soon. Thanks.