js-model | Work with models in your JavaScript | Runtime Evironment library
kandi X-RAY | js-model Summary
kandi X-RAY | js-model Summary
Work with models in your JavaScript
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js-model Key Features
js-model Examples and Code Snippets
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Trending Discussions on js-model
QUESTION
I put the "extract the text" in caps because I have yet to see any answer that works. I need to extract every option available in a drop down list that has two nested optgroups, I DO NOT want to just simply select the values. The html is as follows:
...ANSWER
Answered 2022-Mar-16 at 00:35First thing first to select the first drop down item you need use cars[1] instead cars[0] because it is already selected and disabled.
To get the text from second dropdown you need to select the first dropdown item first.
So your code will be like
QUESTION
I am working with Sequelize for the first time and am have structured my application in a similar way as shown in the official Sequelize github.
Each model is setup in its own file (e.g.):
...ANSWER
Answered 2021-Nov-14 at 18:46You can save a return value of sequelize.define into a local variable and use it to define some static methods and even return this registered model to use it to call all model methods including your own ones.
See my answer and the question itself here
QUESTION
There are ways to remove background from webcam input in browser itself using tensorflow.js and body-pix model. Lot of example codes are given in internet using these but these examples does not work well and results are very laggy and not accurate enough to use for production.
...ANSWER
Answered 2021-Aug-12 at 06:10QUESTION
I am new to threejs and now trying to make this work since ....
I am loading a GLTF with mappings (jpg) into threejs.
I can't find a way to make the loaded model clickable.
Can you please show, how to make this model clickable (single or double click and touch) and call a js-function ?
this is my scene:
...ANSWER
Answered 2021-Jun-23 at 06:51You need to use a pointerevent like pointerup and then use the Raycaster like you already tried.
This is the relevant code:
QUESTION
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:
...ANSWER
Answered 2021-May-13 at 05:13I think it is to do with the way you are importing the universal-sentence-encoder, try this instead:
QUESTION
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.
...ANSWER
Answered 2021-Mar-16 at 05:47The coordinates of are available here.
You can refer to the mesh image example which has the points as well but you would need to zoom in and check them manually.
These are the exact coordinates that you would need for your use case.
QUESTION
I am trying to use custom model detection using TensorFlow in android and I am using pre-train models from the official TensorFlow site. 3 out of 4 models are not working getting this error in the log.
...ANSWER
Answered 2021-Feb-25 at 09:18Seems you're using ML Kit's object detection API with custom model. It first identifies objects in the image, and run image classification on those objects to determine what the object is. Hence, the model's output is class probability.
On the other hand, other models are actual object detection models, and outputs four tensors representing bounding box positions and classes.
Please refer to following example for using those detection models.
https://www.tensorflow.org/lite/examples/object_detection/overview
QUESTION
I try to run deep lab model javascript on video here but I get the error Unhandled Rejection (Error): The dtype of dict['ImageTensor'] provided in model.execute(dict) must be int32, but was float32 , here is my code
...ANSWER
Answered 2021-Jan-16 at 06:53problem was the tensorflow version , do the following: uninstall current version
QUESTION
As in the following js code, I am loading the model as a promise:
tf.loadLayersModel('../tfjs-models/hadwritten-digits/model.json')
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.
...ANSWER
Answered 2021-Jan-08 at 09:13There are a couple of things that needs to be changed in the code
There is not
3dcontext for now, there is the2dcontext.Additionnally, Uint8ClampedArray expects a flatten array. So instead of using
array(respectivelyarraySync), it should rather bedata(respectivelydataSync).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
ImageData
short example
QUESTION
Pretty simple code
...ANSWER
Answered 2020-Nov-03 at 07:30The model name is generated dynamically. Try this:
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