tensorflowjs | Simple FFI bindings for TensorFlow 's C API | Machine Learning library

by jimfleming JavaScript Version: Current License: No License

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kandi X-RAY | tensorflowjs Summary

tensorflowjs is a JavaScript library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. tensorflowjs has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

TensorFlow + Node.js ===.

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tensorflowjs has a low active ecosystem.

It has 45 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

tensorflowjs has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflowjs is current.

Quality

tensorflowjs has 0 bugs and 0 code smells.

Security

tensorflowjs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflowjs code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorflowjs does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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tensorflowjs releases are not available. You will need to build from source code and install.

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tensorflowjs Key Features

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tensorflowjs Examples and Code Snippets

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Community Discussions

Trending Discussions on tensorflowjs

Text Detection using tensorflowjs

Since TensorflowJS can use the GPU via WebGL, why would I need an nVIDIA GPU?

Cannot convert model to tensorflowjs from tf hub

My converted tensorflow Transfer Learning model always returns same results in Tensorflow JS

Error: pixels passed to tf.browser.fromPixels() must be either an HTMLImageElement

Convert Subclassed Speech Recognition Model to Tensorflow.js

Why the output of model.predict() is undefined?

TensorflowJs - Rescale image with factor

Spyder not accepting keyboard interaction

TypeError: tf.shape is not a function

QUESTION

Text Detection using tensorflowjs

Asked 2021-Oct-12 at 11:59

I want to do text detection in an image using only tensorfow.js or opencv.js, i have already build a EAST model on keras and converted to tensorflowjs model

can anyone help me with this, any resource will be great

Thanks.

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ANSWER

Answered 2021-Oct-12 at 11:59

So, initially you need to download the East frozen model and then conver it to tensorflow.js model by using the below command

Source https://stackoverflow.com/questions/69052249

QUESTION

Since TensorflowJS can use the GPU via WebGL, why would I need an nVIDIA GPU?

Asked 2021-Sep-09 at 17:35

So TensorFlowJS can use WebGL to do GPU computations and train deep learning models. Why isn't this more popular than using CUDA with an nVIDIA GPU? Most people just trying to prototype machine learning models would love to do so on their personal computer, but many of us resort to using expensive cloud services like AWS (although more recently Google Colab helps) for ML training if we don't have a computer with an nVIDIA GPU. I'm sure nVIDIA GPUs are faster than whatever GPU is in my Macbook, but probably any GPU will offer at least an order of magnitude speedup over even a fast CPU and allow for model prototyping, so why aren't well using WebGL GPGPU? There must be a catch I just don't know about.

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ANSWER

Answered 2021-Sep-08 at 03:07

WebGL backend uses GLSL language to define functions and upload data as shaders - it "works", but you pay huge cost to compile GSLS and upload shaders: warmup time for semi-complex models is immense (we're talking about minutes just to startup). And then memory overhead is 100-200% of what model would normally need - and for larger models, you're GPU memory bound, you don't want to waste that.

Btw, actual inference time once model is warmed up and it fits in memory is ok using WebGL

On the other hand nVidia CUDA libraries provide direct access to GPU, so TF compiled to use them is always going to be much more efficient.

Unfortunately, not many GPU vendors provide libraries like CUDA, so most ML is done on nVidia GPUs

Then there is a next level when you're using TPU instead of GPU - then there is no WebGL to start with

Source https://stackoverflow.com/questions/69068898

QUESTION

Cannot convert model to tensorflowjs from tf hub

Asked 2021-Aug-18 at 10:49

I am using tensorflowjs_converter to convert a tflite model to tensorflowjs model. The repository can be download with web browsers but failed when using tensorflowjs_converter.

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ANSWER

Answered 2021-Aug-18 at 10:49

Here it says that you can only convert a "TensorFlow SavedModel, TensorFlow Hub module, Keras HDF5 or tf.keras SavedModel" to a TF.js model using the converter but no TFLite model.

So you either need to provide such a model to the converter or you can use the new tfjs-tflite API to run inference on a TFLite model in the browser. From here, you can modify Demo 2 by loading https://storage.googleapis.com/tfhub-lite-models/sayakpaul/lite-model/cartoongan/dr/1.tflite instead and replacing all occurrences of 224 with 512 since the CartoonGAN model consumes and produces images of sizes 512x512. The demo then loads the TFLite model in the browser and runs inference on the input image. The same approach works with the arbitrary-image-stylization-inceptionv3 model (minus that it outputs no image but an embedding vector).

Unfortunately, there is no possibility to export the loaded TFLite model as a TF.js model, yet.

Source https://stackoverflow.com/questions/68826369

QUESTION

My converted tensorflow Transfer Learning model always returns same results in Tensorflow JS

Asked 2021-Jul-30 at 19:25

I have created a model which applied Mobilenet V2 for the convolutional base layers in Google colab. Then I converted it by using this command:

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ANSWER

Answered 2021-Jul-30 at 19:25

After I debug some possible causes, I realized that the problem is in this block code:

Source https://stackoverflow.com/questions/68574893

QUESTION

Error: pixels passed to tf.browser.fromPixels() must be either an HTMLImageElement

Asked 2021-Jul-20 at 11:17

Trying to predict with TensorflowJS. But, in input image above error is showing? My image is Uint8Array type. How can I pass an Uint8Array type for making a tensor?

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ANSWER

Answered 2021-Jul-20 at 11:17

If imageData is a UInt8Array, it can be easily converted to a tensor using tf.tensor

Source https://stackoverflow.com/questions/68429691

QUESTION

Convert Subclassed Speech Recognition Model to Tensorflow.js

Asked 2021-Jul-06 at 12:40

I have a subclassed Speech Recognition model (link) with which I'd like to make inferences on my node.js server. I am trying to convert it using tfjs but because its a subclassed model I'm getting the following error:

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ANSWER

Answered 2021-Jul-01 at 12:17

Instead of using model.save_weights() as in the tutorial you should use the other option which is model.save("my_model_dir") and you can check here for confirmation.

After saving the model directory you would want to convert it using the Tensorflowjs Converter

Source https://stackoverflow.com/questions/68189204

QUESTION

Why the output of model.predict() is undefined?

Asked 2021-Jun-18 at 07:14

I have a really basic model built with tensorflowjs. It should work as it is directly copied from the google tensorflow tutorial. I just converted that code into a class for the re-usability. Everytime I pass some data to predict, it returns undefined.

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ANSWER

Answered 2021-Jun-18 at 05:48

I think that the train() doesn't fulfilled.

Source https://stackoverflow.com/questions/68029803

QUESTION

TensorflowJs - Rescale image with factor

Asked 2021-Jun-10 at 16:05

Is it possible to achieve the same Python operation in Javascript using TensorflowJs?

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ANSWER

Answered 2021-Jun-10 at 14:09

So far I have settle with having the following, using opencvJs:

Source https://stackoverflow.com/questions/67921779

QUESTION

Spyder not accepting keyboard interaction

Asked 2021-Jun-01 at 14:42

When trying to uninstall a pip package in Spyder 3.3.6 using pip uninstall tensorflowjs I get a prompt saying: Proceed (y/n)? but no leyboard interaction is accepted. I also got this when trying to install another package using conda create -n tfjs python=3.6.8 getting a similar prompt: Proceed ([y]/n)?but nothing accepted other than aborting using ^C.

Otherwise keyboard interaction works in Spyder so I really don't get what I'm supposed to do to make pip and conda accept my keyboard inputs in the Spyder console. I found nothing in the Spyder precerences that seems to be related.

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ANSWER

Answered 2021-Jun-01 at 14:42

Try to pre-answer "yes" on all questions:

Source https://stackoverflow.com/questions/67787680

QUESTION

TypeError: tf.shape is not a function

Asked 2021-May-18 at 19:24

I am trying to convert some python tensorflow code to javascript. tensorflow js has no attribute shape like tensorflow. Is there a way to convert this line of code ? module 'tensorflowjs' has no attribute 'shape'

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ANSWER

Answered 2021-May-18 at 19:24

shape is second attribute for create tensor function.

Source https://stackoverflow.com/questions/67592351

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Install tensorflowjs

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