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In-Browser Object Detection using Tiny YOLO on Tensorflow.js

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when i run the code, it reports an error at downloadModel i use this: import * as tflayer from '@tensorflow/tfjs-layers'; export async function downloadModel(url = DEFAULT_MODEL_LOCATION) { return await tflayer.loadLayersModel(url);...

fixed tf method call

Hey Guys, Love your work, trying to get your demo running in my mobile but only the camera is shown and no object is recognised/displayed. I've tested https://modeldepot.github.io/tfjs-yolo-tiny-demo/ on Safari...

I am working on the project where we can not use the browser, Is this can be integrated without the help of the browser? If Yes then how?

Hi tfjs-yolo-tinu 0.5.0 is not compatible with @tensorflow/tfjs version 0.11.0 +

Hi, I tried to open the live demo from the link https://modeldepot.github.io/tfjs-yolo-tiny-demo/ , but it's not working. No detection is made, and I waited for minutes. I check the Chrome...

this line of code take a long time to execute https://github.com/ModelDepot/tfjs-yolo-tiny/blob/master/src/postprocess.js#L24 `const mask_arr = await prediction_mask.data();` ![ff](https://user-images.githubusercontent.com/31354864/39049237-96221d04-4498-11e8-8bcd-bb1c61c35a26.png) is there an other way to do it(transforming the tensor to an array)...