Dennis Loevlie
Dennis Loevlie
Hey Daniel! I am a fan of your content as well as PyTorch. I can definitely help with proofreading. My computer is a Mac M1 so I can also help...
It starts with the basics (feed-forward NNs), and by the end of the course, it covers transformers and GNN's. It covers a ton of material and keeps things general while...
I believe using the "pred" model output from the `evaluate.py` script https://github.com/LiheYoung/Depth-Anything/blob/5935968f82018d68fff44946573d34cdf27db827/metric_depth/evaluate.py#L80 (assuming you assign the correct focal length in the line above the model output) and using this [https://github.com/LiheYoung/Depth-Anything/blob/main/metric_depth/zoedepth/utils/geometry.py](https://github.com/LiheYoung/Depth-Anything/blob/5935968f82018d68fff44946573d34cdf27db827/metric_depth/zoedepth/utils/geometry.py)...
Hey @abhishekmonogram, I got the evaluate function to work on my own dataset by mainly following [this article](https://medium.com/@bhaskarbose1998/monocular-depth-estimation-using-zoedepth-our-experience-42fa5974cb59). I might write a script to run inference on a custom image,...
I would update the focal_length here https://github.com/LiheYoung/Depth-Anything/blob/5935968f82018d68fff44946573d34cdf27db827/metric_depth/evaluate.py#L78 Then use this to get the 3D point cloud: https://github.com/LiheYoung/Depth-Anything/blob/5935968f82018d68fff44946573d34cdf27db827/metric_depth/zoedepth/utils/geometry.py.
The best solution that I found for the "background" issue with metric depth estimation predictions is this: 1. Retrieve the relative depth map as a secondary output from the metric...
I was not trying to predict skies but I was trying to remove them from the outputted depth map so they don't show up in the point cloud. But yes...
Hi @LiheYoung, yes that works very well! Thank you!
Hey @shersoni610 I had this exact same error. I fixed it by setting up the virtual environment like they describe in the readme. 1. Clone the repo and `cd ZoeDepth`...
I found this useful - https://www.rerun.io/examples/paper-visualizations/mcc