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[Feature request] Support tensorflow-lite basic model with bash_script #62

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niklasjang opened this issue Oct 4, 2019 · 3 comments

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@niklasjang
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I am new to NNS. I think that I am not good enough at understanding NNS. To help someone like me, I suggest support all of six tensorflow-lite basic models as bash_script example.

it contains 6 models.

  1. Image Classification
  2. Object detection
  3. pose estimation
  4. segmentation
  5. style transfer
  6. smart reply

With this support, NNS will be able to prove that it can be applied to various models. And also it helps newbies understand faster and repository star increase fast.

It is first time to request feature for me. Let me know if it doesn't have enough information about what I am getting at.

@taos-ci
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taos-ci commented Oct 4, 2019

:octocat: cibot: Thank you for posting issue #62. The person in charge will reply soon.

@myungjoo
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myungjoo commented Oct 7, 2019

You may write such examples and contribute them :)

Because we already have a few of them, you can reuse the code and write yours easily.

@niklasjang
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  1. Style transfer example is stuck in reallocation problem. (realloc(): invalid pointer error with pipeline  nnstreamer#1732)

  2. Image segmentation example is merged. ([Decoder] Implementation of image segmentation nnstreamer#1801) But still it need to be improved.

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