I'm trying to optimise a 'for loop' where I normalise the Y buffer values, and append the Y, U, V together. It runs into this error:
Uncaught (in promise) Error: Could not find a KernelValue for function Mat$type() {if (arguments.length !== 0) {throwBindingError('function Mat.type called with ' + arguments.length + ' arguments, expected 0 args!');}var thisWired = classParam.toWireType(null, this);var rv = invoker(fn, thisWired);var ret = retType.fromWireType(rv);return ret;}at lookupKernelValueType (gpu-browser.min.js:14)at Function.lookupKernelValueType (gpu-browser.min.js:14)at WebGL2Kernel.setupArguments (gpu-browser.min.js:14)at WebGL2Kernel.build (gpu-browser.min.js:14)at WebGL2Kernel.t (gpu-browser.min.js:14)at n (gpu-browser.min.js:14)at Object.predictModel (processor.js:165)
Where does it happen?
In processor.js when I'm trying to run this:
const gpu = new GPU();const kernel_normalize = gpu.createKernel(function (yuv,y_buffer,u_buffer,v_buffer,pixels) {for(let i=0; i<pixels; i++){if(y[i] <0 ) y[i]=0;if(y[i] >1 ) y[i]=1;yuv[this.thread.x *3] = y_buffer[this.thread.x] * 255;yuv[this.thread.y *3+1] = u_buffer.data[this.thread.y];yuv[this.thread.z *3+1] = v_buffer.data[this.thread.z];}}).setOutput([upscaled_numPixels*3]);YUV_upscaled_array=kernel_normalize(YUV_upscaled_array,Y_upscaled_array,U_upscaled_mat,V_upscaled_mat,upscaled_numPixels);I'm not familiar with threading, so could you help me out here?
How do we replicate the issue?
I don't think that would be needed, newbie issue.
How important is this (1-5)?
4
Expected behavior (i.e. solution)
I think I should have got my Upscaled array of size upscaled_numPixels*3.
Other Comments
I'm trying to take input from the video tag using getImageData (to a canvas) and process it, and put it back into another canvas.
Input size is 180x320, output is 720x1280.
What is wrong?
I'm trying to optimise a 'for loop' where I normalise the Y buffer values, and append the Y, U, V together. It runs into this error:
Uncaught (in promise) Error: Could not find a KernelValue for function Mat$type() {if (arguments.length !== 0) {throwBindingError('function Mat.type called with ' + arguments.length + ' arguments, expected 0 args!');}var thisWired = classParam.toWireType(null, this);var rv = invoker(fn, thisWired);var ret = retType.fromWireType(rv);return ret;}at lookupKernelValueType (gpu-browser.min.js:14)at Function.lookupKernelValueType (gpu-browser.min.js:14)at WebGL2Kernel.setupArguments (gpu-browser.min.js:14)at WebGL2Kernel.build (gpu-browser.min.js:14)at WebGL2Kernel.t (gpu-browser.min.js:14)at n (gpu-browser.min.js:14)at Object.predictModel (processor.js:165)Where does it happen?
In processor.js when I'm trying to run this:
const gpu = new GPU();const kernel_normalize = gpu.createKernel(function (yuv,y_buffer,u_buffer,v_buffer,pixels) {for(let i=0; i<pixels; i++){if(y[i] <0 ) y[i]=0;if(y[i] >1 ) y[i]=1;yuv[this.thread.x *3] = y_buffer[this.thread.x] * 255;yuv[this.thread.y *3+1] = u_buffer.data[this.thread.y];yuv[this.thread.z *3+1] = v_buffer.data[this.thread.z];}}).setOutput([upscaled_numPixels*3]);YUV_upscaled_array=kernel_normalize(YUV_upscaled_array,Y_upscaled_array,U_upscaled_mat,V_upscaled_mat,upscaled_numPixels);I'm not familiar with threading, so could you help me out here?How do we replicate the issue?
I don't think that would be needed, newbie issue.
How important is this (1-5)?
4
Expected behavior (i.e. solution)
I think I should have got my Upscaled array of size upscaled_numPixels*3.
Other Comments
I'm trying to take input from the video tag using getImageData (to a canvas) and process it, and put it back into another canvas. Input size is 180x320, output is 720x1280.