frame

Howdy, Stranger!

It looks like you're new here. If you want to get involved, click one of these buttons!

Sign In

Howdy, Stranger!

It looks like you're new here. If you want to get involved, click one of these buttons!

Custom single object detector from scratch for Movidius

Hello dear community,

I have been working with Tensorflow, Caffe and Darknet in order to create a custom object detector which can run in the Movidius NCS.
So far, I have been unable to do it following different tutorials, export tools, etc.

Do you have any complete guide to achieve this?
My requirement is a very high precision on the single class detector. For example, with a tensorflow Faster R-CNN network, I was able to detect an object above 20 meters with a 96% of confidence, which is a very good scenario

I would appreciate your guidance here

Thanks in advance

Comments

  • 4 Comments sorted by Votes Date Added
  • Dear colleagues I've searched a lot and found some pieces of info e.g. for cats and dogs image classification, but I've never seen a step by step for a custom object detection from training to fine tuning, as requested by the colleague above.
    @Tome_at_Intel, don't let us down!
    Regards
    Felipe

  • @AshwinVijayakumar may I ask for your support? This would help a lot of people to get used to Movidius.
    Anybodyelse's help is welcome.
    Thanks in advance!

  • @fpartika, I am looking into this as time permits, but I am not sure when I'll be able to publish it as a blog.

  • @AshwinVijayakumar Thanks for the attention!
    Before my request I've found one of your articles: movidius.github.io/blog/deploying-custom-caffe-models/
    It was very useful, but I understand it is a image classification which differentiates dogs and cats. Unfortunately this was not enough to allow me taking off with the object detection, considering my modest knowledge about the subject.
    So thanks for your guidance so far, I'm looking forward for your new article.
    Regards,
    Felipe

Sign In or Register to comment.