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I am currently having a bit of trouble trying to add as an overlay to my current container (0) the output of a tensorflow model (Float32Array).
I read the documentation, and it says that it does accept arrays as input instead of image URLS. Thus, my approach was the following:
let predictionArray = prediction.dataSync();
let params = [];
params["binaryImages"] = {lut: "Spectrum"};
papaya.Container.addImage(0, [predictionArray], params);
However, I am getting the following error:
papaya.js:3723 Uncaught (in promise) RangeError: Invalid string length
at Float32Array.join (<anonymous>)
at Float32Array.toString (<anonymous>)
at Array.join (<anonymous>)
at Array.toString (<anonymous>)
at papaya.Container.findLoadableImage
Is my approach right? If not, how can I achieve the overlay to the original container with the new output array?
Thank you!
The text was updated successfully, but these errors were encountered:
Hello @rii-mango; quick update. I got past the previous error, but now I get a new type of error.
I figured out I needed to convert my Array output to an array buffer with the correct size. Now that I feed it correctly the same way as before, this is the new error I am getting:
Uncaught (in promise) TypeError: a[0].lastIndexOf is not a function
at papaya.volume.Volume.readURLs (papaya.js:3026:109)
at papaya.viewer.Viewer.loadOverlay (papaya.js:3371:362)
at papaya.viewer.Viewer.loadImage (papaya.js:3366:123)
at papaya.Container.addImage (papaya.js:3666:215)
at loadModel (researchexperiment/:142:30)
Could you please tell me what this refers to and whether my approach to adding the image is correct?
Hello @rii-mango,
I am currently having a bit of trouble trying to add as an overlay to my current container (0) the output of a tensorflow model (Float32Array).
I read the documentation, and it says that it does accept arrays as input instead of image URLS. Thus, my approach was the following:
However, I am getting the following error:
Is my approach right? If not, how can I achieve the overlay to the original container with the new output array?
Thank you!
The text was updated successfully, but these errors were encountered: