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Community Manager
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Technical blog and training materials

Hello everyone,

 

We just launched a technical blog that will focus on building projects using Intel Movidius Neural Compute Stick and Neural Compute SDK. You can access the at https://movidius.github.io/blog/

 

Thanks

 

@AshwinVijayakumar
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Community Manager
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I study a project on "raspberry pi 3" with "The neural compute stick" in order to identify the quantity dragon fruit on a garden. Could you please give me some material "The neural compute stick".

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Community Manager
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Can you please put an example of object detection with the ncs?

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Community Manager
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@monotosh, I'll look into creating a blog on object detection, until then you refer the MobileNet_SSD and tiny YOLO examples on https://GitHub.com/Movidius/ncappzoo

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@AshwinVijayakumar Any news about the blog on creating and running custom tensorflow on movidius ?

 

reference
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Community Manager
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EDIT: We now have several tutorials on running TensorFlow models on NCS

 

     

  1. On-demand webinar which highlights the entire workflow to run TF models on NCS - See 'Section 4 Part 1, timestamp 00:26:00) https://software.intel.com/en-us/videos/deploying-image-classifiers-on-intel-movidius-neural-compute...
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  3. Sample code and instructions to deploy pre-trained TF models
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  5. Finetuned TF model with custom dataset - https://github.com/ashwinvijayakumar/ncappzoo/tree/flowers/apps/flowers
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  7. Custom network + custom dataset:
  8.  

 

Tag @arshdeep

 

@GoldenWings, we ran into some bugs with respect to exporting TF models for inference, hence the delay. V1.12 has a fix, so I am curating the blog now. You can refer these examples until I have had a chance to polish & publish the blog.

 

~~MNIST example: https://github.com/ashwinvijayakumar/ncappzoo/tree/mnist/tensorflow/mnist~~

 

~~Fashion MNIST example: https://github.com/ashwinvijayakumar/ncappzoo/tree/fashion-mnist/tensorflow/fashion-mnist~~

 

~~A super-simple custom network trained on fashion MNIST: https://github.com/ashwinvijayakumar/ncappzoo/tree/single-conv/tensorflow/single-conv~~

 

Developer guide explaining the changes needed to export a model for inference: https://movidius.github.io/ncsdk/tf_compile_guidance.html

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@AshwinVijayakumar: Is there any chance you can come up with an end-to-end solution from Keras -> movidius? Because I can not get this to work due to a myriad array of parser issues.

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@pisymbol, I have been looking into converting Keras models to TF and then to Movidius, but no joy. Until we get Keras support on NCSDK, I am afraid our only option is to rewrite Keras models in TensorFlow (I know, it's super tedious).

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@AshwinVijayakumar Can we make a custom image classifier with it ? Any example to do that? I am a newbee

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Please suggest

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@jaymj , not sure I understand the question. Are you asking if you can fine-tune a specific network with your own dataset? If so, here are some resources:

 

Caffe GoogLeNet dogs vs cats (same instructions can be used to train different networks with different datasets) - https://movidius.github.io/blog/deploying-custom-caffe-models/

 

Tensorflow MNIST trained on fashion-mnist dataset - https://github.com/ashwinvijayakumar/ncappzoo/tree/fashion-mnist/tensorflow/fashion-mnist

 

Custom network using TF - https://github.com/ashwinvijayakumar/ncappzoo/tree/single-conv/tensorflow/single-conv

 

Recommended workflow for running TF models on NCS - https://github.com/ashwinvijayakumar/ncappzoo/tree/tensorflow-template/tensorflow/mobilenets. You can use export_inference_graph to export different networks and datasets.

 

As mentioned earlier, we don't yet have a proven method/workflow to run Keras models on NCS.

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