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m1sc
/
reach-down-vit-release

Robotics
DepthAnythingV2
PyTorch
terrain
reachability
Model card Files Files and versions
xet
Community

Instructions to use m1sc/reach-down-vit-release with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • DepthAnythingV2

    How to use m1sc/reach-down-vit-release 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 huggingface_hub import hf_hub_download
    
    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="m1sc/reach-down-vit-release", filename="depth_anything_v2_<ENCODER>.pth", repo_type="model")
    state_dict = torch.load(filepath, map_location="cpu")
    model.load_state_dict(state_dict)
    model.eval()
    
    raw_img = cv2.imread("your/image/path")
    depth = model.infer_image(raw_img) # HxW raw depth map in numpy
        
  • Notebooks
  • Google Colab
  • Kaggle
reach-down-vit-release / scripts
50 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ckwolfe's picture
ckwolfe
Publish complete fixed-wing ViT runs, dataset provenance, and evaluation artifacts
728cafc verified 5 days ago
  • check_paper_numbers.py
    24.6 kB
    Publish complete fixed-wing ViT runs, dataset provenance, and evaluation artifacts 5 days ago
  • evaluate.py
    10 kB
    Publish complete fixed-wing ViT runs, dataset provenance, and evaluation artifacts 5 days ago
  • make_dataset.py
    7.68 kB
    Publish complete fixed-wing ViT runs, dataset provenance, and evaluation artifacts 5 days ago
  • train.py
    7.67 kB
    Publish complete fixed-wing ViT runs, dataset provenance, and evaluation artifacts 5 days ago