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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+
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+ # Depth Any Canopy Base
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ This is the base version of Depth Any Canopy presented in Depth Any Canopy Paper. A [Small version](https://huggingface.co/DarthReca/depth-any-canopy-small) is also available.
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+
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+ ## Model Details
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+ The model is Depth-Anything-Base finetuned for canopy height estimation on a filtered set of [EarthView](https://huggingface.co/datasets/satellogic/EarthView).
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+ - **License:** Apache 2.0
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+ - **Finetuned from model:** [Depth-Anything-Base](https://huggingface.co/depth-anything/Depth-Anything-V2-Base-hf)
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+
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+ ## Uses and Limitations
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ The model is capable of working with aerial imagery of NEON. The coverage is limited to the US. We cannot guarantee its generalizability over other areas of the globe.
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+ The images cover only RGB channels; no study of hyperspectral imagery was done.
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+
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ ```python
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+ # Use a pipeline as a high-level helper
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+ from transformers import pipeline
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+
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+ pipe = pipeline("depth-estimation", model="DarthReca/depth-any-canopy-base")
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+
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+ # Load model directly
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+ from transformers import AutoModelForDepthEstimation
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+
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+ model = AutoModelForDepthEstimation.from_pretrained("DarthReca/depth-any-canopy-base")
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+ ```
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+ - **Carbon Emitted:** 0.14 kgCO2
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+ Carbon emissions are estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute).
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+ ## Citation
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+ **BibTeX:**
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+
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+ ```
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+ @misc{cambrin2024depthcanopyleveragingdepth,
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+ title={Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation},
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+ author={Daniele Rege Cambrin and Isaac Corley and Paolo Garza},
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+ year={2024},
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+ eprint={2408.04523},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2408.04523},
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+ }
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+ ```