Tensorflow

TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
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Assertions can't be relied upon for control flow because they can be disabled, as per the following:
$ python --help
usage: python [option] ... [-c cmd | -m mod | file | -] [arg] ...
...
-O : remove assert and __debug__-dependent statem
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I've ran into this issue for a couple hours and I ended up editing the dist library adding two new functions called fetchVideo
and bufferToVideo
that works pretty much like the fetchImage
and bufferToImage
functions.
I'll leave it here to help somebody else with the same issue and in case someone wants to include it on future releases.
face-api.js
...
exports.fetchVideo = fetc
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Bug Report
Is the issue related to model conversion?
If the ONNX checker reports issues with this model then this is most probably related to the converter used to convert the original framework model to ONNX. Please create this bug in the appropriate converter's GitHub repo (pytorch, tensorflow-onnx, sklearn-onnx, keras-onnx, onnxmltools) to get the best help.
Describe the bug
T
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Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.
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Created by Google Brain Team
Released November 9, 2015
- Organization
- tensorflow
- Website
- www.tensorflow.org
- Wikipedia
- Wikipedia
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generate
doesn't work for protobuf directory. So we can't specify GPUOptions forNewSession
.