kandi X-RAY | tfjs-models Summary
kandi X-RAY | tfjs-models Summary
This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The models are hosted on NPM and unpkg so they can be used in any project out of the box. They can be used directly or used in a transfer learning setting with TensorFlow.js. To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. For those interested in contributing a model, please file a GitHub issue on tfjs to gauge interest. We are trying to add models that complement the existing set of models and can be used as building blocks in other apps.
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Trending Discussions on tfjs-models
ANSWERAnswered 2021-Aug-12 at 06:10
I'm trying to use tfjs-models/universal-sentence-encoder within a React Native app by following these instructions. However, I get the following error when I try to load the model:...
ANSWERAnswered 2021-May-13 at 05:13
I think it is to do with the way you are importing the universal-sentence-encoder, try this instead:
I am trying to change the shape and position of eyes and lips and for this purpose I use tenserflow.js face-landmark-detection model. I get the all 468 facial landmarks but the problem is i don't know and i never find any solution on internet how to get the position of only required landmark like lips and eyes. I get all the points but want to apply changes on lips and eyes how i apply changes only on these landmarks....
ANSWERAnswered 2021-Mar-16 at 05:47
ANSWERAnswered 2021-Jan-16 at 06:53
problem was the tensorflow version , do the following: uninstall current version
As in the following js code, I am loading the model as a promise:
Now, I am using model.predict that will return an tensor of shape (1, 128, 128, 1) i.e. one grayscale image. I am having a lot of issue now on with promises and awaits. I have a canvas with known id in index.html, I want to put the image into. Needed some help now....
ANSWERAnswered 2021-Jan-08 at 09:13
There are a couple of things that needs to be changed in the code
There is not
3dcontext for now, there is the
Additionnally, Uint8ClampedArray expects a flatten array. So instead of using
arraySync), it should rather be
ImageData expects the width and the height of the image. It is unlikely that the image width and height are 1 pixel each. So there might need to change the parameters given to
I am building an Expo app using redux-saga and tensorflow js. The model has to be loaded async when initializing the app. In all the examples, the model is loaded in a component and stored in the component's state.
I would like however to perform inference in a saga and not directly in the component.
I don't know how to write the initialization process so as to be able to access the loaded model from within the saga.
App.js I have the following:
ANSWERAnswered 2020-Sep-22 at 17:23
You'll have to maintain state for this case, like in
I have downloaded a pre-trained PoseNet model for Tensorflow.js (tfjs) from Google, so its a json file.
However, I want to use it on Android, so I need the
.tflite model. Although someone has 'ported' a similar model from tfjs to tflite here, I have no idea what model (there are many variants of PoseNet) they converted. I want to do the steps myself. Also, I don't want to run some arbitrary code someone uploaded into a file in stackOverflow:
Caution: Be careful with untrusted code—TensorFlow models are code. See Using TensorFlow Securely for details. Tensorflow docs
Does anyone know any convenient ways to do this?...
ANSWERAnswered 2020-Aug-28 at 08:01
I'm attempting to use TensorFlow face mesh(JS) for a simple face tracker. I've used the standard code on the site but I'm getting an error for height: Uncaught (in promise) TypeError: Cannot read property 'height' of null at facemesh:17 at L.estimateFaces (facemesh:17) at main ((index):76)
I'm new to JS but I can't work out where I am going wrong. Any help would be much appreciated.
TensorFlow code: https://github.com/tensorflow/tfjs-models/tree/master/facemesh
ANSWERAnswered 2020-Aug-07 at 11:07
Declare the video element inside the main() function
I'm trying to load a model.json file with it's weights.bin from the root directory in my react app.
When I call an example I found online from storage.googleapis.com it works but loading from my root doesn't.
The contents of App.js in my react app......
ANSWERAnswered 2020-May-15 at 21:09
The file URI scheme
file://url is only for loading model server side. To load the model in the browser, the user can be prompted to select the model topology(model.json) and weight files. The doc contains an exemple of how to load a model by prompting the user using file input elements.
If the user is not to be requested to select the model files, then the model needs to be served by a server. The model.json and the weights can for instance be in the assets folder of the application deployed. Then the url would just need to be pointing to the
file:// as follows:
ANSWERAnswered 2020-May-02 at 20:46
You can directly pipe the audio to
ffmpeg which will avoid the intermediate file, and
ffmpeg can output to pipe as well if you wanted to avoid image file output.
Demonstration using three instances of
No vulnerabilities reported
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