Comments (5)
One will be provided in the examples, but I want to avoid having large model binaries in the basic package. A downloader should do the trick for the most part.
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One will be provided in the examples, but I want to avoid having large model binaries in the basic package. A downloader should do the trick for the most part.
what about git lfs? i think there's a 1GB quota for free accounts.
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Indeed. There is a limit on the size of a Nuget, maybe 250MB, that I want to stay under too, but it may be alright. There are a couple different models that could be particularly helpful. Resnet34 which is both relatively small (~70MB) and very accurate, and VGG/16/19 which is around 500MB, is not as accurate as Resnet, but has other important uses, such as Style Transfer for unpicking the semantics of an image, I'll have a look at other forms of storage first, but will try to move ahead on this.
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sorry, i misread your comment and was thinking that you want to have the repo small, but you're talking about the nuget which is a separate issue.
in this case, i don't think any large files should be included in the nuget.
i'd prefer smth. like this and download files in runtime.
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Good example. Yeah I have something very similar in the VLMLDemos, but I'll make it a dependency for the main package so I can update it separately. Thanks for mentioning!
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Related Issues (11)
- Need some demos
- Cleanup the tooltip patch
- Replace LTSM Layer
- VVVV gamma 2019.2 0169 - ConvNet Layer Issues HOT 5
- Separate Repo for demos and useful modules? HOT 1
- Onnx HOT 1
- Documentation HOT 1
- CNTK 2.7.0 GPU outtage HOT 2
- Is Validator seeing all of the examples in minibatch data set.
- Doesn't currently work with the exporting version of vvvv Gamma HOT 2
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