heyoeyo / muggled_dpt Goto Github PK

Hi
Ill like to first thank you for the work you did. Was struggling to get proper live-camera inference to work with sufficient fps but your work made it much faster.
I had successfully tired out using the VITSmall model but when i wanted to attempt using the Indoor_Metric_Depth model (from here) i get this error: "NotImplementedError: Bad model type: unknown, no support for this yet!"

Is there work being done to add support to the metric depth models?

Hi,

Thanks for your amazing work.

I have one question. I am trying the fusion scaling demo on a 640x480 image. However, the saved depth .npy file tells that its size is 504x364.

Is this because the image_preprocessor of the DPT to fit a 14px patch?

If so, how do we get the depth matching the raw size.

Thanks for your help in advance.

Hey! very nice to see your prediction , is there possible to share training code and any idea , if we like to add custom depthmap data set training on there ?

Thank you for your awesome project!
But, I am confused about which you write comments to extract features from the last 4 blocks in depth_anything_v2 architecture.