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muxiddin19
/
vrkeyb-cvpr2026

Depth Estimation
PyTorch
DepthAnythingV2
English
monocular-depth
metric-depth
close-range
fine-tuned
intel-realsense
d405
hand-tracking
virtual-keyboard
human-computer-interaction
cvpr2026
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use muxiddin19/vrkeyb-cvpr2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • DepthAnythingV2

    How to use muxiddin19/vrkeyb-cvpr2026 with DepthAnythingV2:

    # Install from https://github.com/DepthAnything/Depth-Anything-V2
    
    # Load the model and infer depth from an image
    import cv2
    import torch
    
    from depth_anything_v2.dpt import DepthAnythingV2
    
    # instantiate the model
    model = DepthAnythingV2(encoder="<ENCODER>", features=<NUMBER_OF_FEATURES>, out_channels=<OUT_CHANNELS>)
    
    # load the weights
    filepath = hf_hub_download(repo_id="muxiddin19/vrkeyb-cvpr2026", filename="depth_anything_v2_<ENCODER>.pth", repo_type="model")
    state_dict = torch.load(filepath, map_location="cpu")
    model.load_state_dict(state_dict).eval()
    
    raw_img = cv2.imread("your/image/path")
    depth = model.infer_image(raw_img) # HxW raw depth map in numpy
        
  • Notebooks
  • Google Colab
  • Kaggle
vrkeyb-cvpr2026
297 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
muxiddin19's picture
muxiddin19
Update README.md
87952bc verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    10.5 kB
    Update README.md about 2 months ago
  • depth_anything_v2_vits_d405_finetuned.pth
    297 MB
    xet
    Update to final best checkpoint (80 epochs, d1=0.996, RMSE=7mm) 2 months ago