Matthew

I think that it is kind of agnostic how you get your data. Once you have it simply call: ``` const myChart = new Chart(ctx, { type: 'candlestick', data: {...

Did you ever find out how to get a better result? Perhaps you need to download the public files and not just the MUCT database?

@analizabongat How did you get a image from the canvas layer with mask? I have tried toDataURL, and using the opengl to write the texture as an image

@analizabongat Sadly that doesn't seem to work for my case, Face deformation. Even just taking the image of the canvas that only has the deform drawn upon results in a...

@Elmapul If you change the code as mentioned by @mrieck then you can call `toDataURL` on the canvas. document.querySelector("#canvas-id").toDataURL()

@Elmapul Go to line 201 of webgl-utils.js https://github.com/auduno/clmtrackr/blob/dev/examples/js/libs/webgl-utils.js#L201 You will need a local copy of the file not just reference it from github. The new code should be: `var gl...

I would definitely be interested in improving clmtrackr. Does anyone know how I can use other libraries and tie in some of the key points for facial tracking to assist...

No worries, I used similar code from other parts of the project to load the model. I run on a mac and maybe that is the issue.

@MichaelMure Oh Okay, Thanks.

Thanks 16kHz single channel in case anyone is interested.