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  • checkpoints depth_anything_vitl14. pth · LiheYoung Depth-Anything at main
    This file is stored with Xet It is too big to display, but you can still download it
  • GitHub - LiheYoung Depth-Anything: [CVPR 2024] Depth Anything . . .
    This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1 5M labeled images and 62M+ unlabeled images
  • LiheYoung depth_anything_vitl14 · Hugging Face
    Depth Anything model, large The model card for our paper Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data You may also try our demo and visit our project page Installation First, install the Depth Anything package:
  • Depth Anything - RunComfy
    This node leverages pre-trained models to estimate the depth information of an image, providing a detailed representation of the scene's depth By using this node, you can enhance your images with depth-related effects, create 3D representations, or improve the realism of your AI-generated art
  • depth_anything_vitl14 | PromptLayer Models
    Large-scale depth estimation model using ViT-L 14 architecture Trained on unlabeled data, offers state-of-the-art depth prediction capabilities with PyTorch integration
  • Depth_Anything_jupyter. ipynb - Colab
    !git clone -b dev https: github com camenduru Depth-Anything %cd content Depth-Anything !apt -y install -qq aria2 !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M
  • GitHub - haolin11 depth-anything-V2
    This work presents Depth Anything V2 It significantly outperforms V1 in fine-grained details and robustness Compared with SD-based models, it enjoys faster inference speed, fewer parameters, and higher depth accuracy
  • Depth-Anything depth_anything at main · LiheYoung Depth-Anything - GitHub
    Foundation Model for Monocular Depth Estimation - Depth-Anything depth_anything at main · LiheYoung Depth-Anything
  • depth-anything-v2 · PyPI
    Download the checkpoints listed here and put them under the checkpoints directory If you do not want to clone this repository, you can also load our models through Transformers Below is a simple code snippet Please refer to the official page for more details
  • Depth-Anything-V2-Large - Hugging Face
    Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth estimation (MDE) model with the following features:





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