Subhransu S. Bhattacharjee

I did it on the RealEstate10k unfortunately Depth does not exist on the dataset as such so evaluation is not possible but in general if you take an anecdotal look,...

Sorry @Denny-kef, but I cannot help you with that. Make sure you are using the outdoor model and not the indoor one. Skies are always difficult to correctly capture on...

Oh this is interesting @Denny-kef I took a look at your image and it seems to me it is captured by either a fish eye lens or the image itself...

Bottomline: Don't try to predict skies or reflections.

Hi, I never train, but test time fine tune using a plug and play method on the RealEstate10k. Kindly remember that Realestate10k is not RGBD dataset, but you can use...

I have observed this too, can you check the point clouds and use the point cloud data to reproject the x, y, z depths to the depth map and try...

Hi @Linkersem can you add some more details like upload the image and the RGBD array? What do you mean by this gap exactly is it MSE distance or Procrustes...

The depth anything metric distance model is different from the normal depth-anything model. Make sure you are downloading the correct version and finetuning the correct version. I suggest going through...

Tensorrt has some pitfalls including precision point, beware of how the ONNX model translates that for your pytorch model which is I am guessing will be trained at float32 or...

No, I am afraid, I have no expertise with this. But you should check out the ONNX backend for Tensorrt using the execution provider.