Instructions to use DarthReca/depth-any-canopy-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarthReca/depth-any-canopy-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="DarthReca/depth-any-canopy-small")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("DarthReca/depth-any-canopy-small") model = AutoModelForDepthEstimation.from_pretrained("DarthReca/depth-any-canopy-small") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -55,13 +55,16 @@ Carbon emissions are estimated using the [Machine Learning Impact calculator](ht
|
|
| 55 |
**BibTeX:**
|
| 56 |
|
| 57 |
```
|
| 58 |
-
@
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
|
| 64 |
-
|
| 65 |
-
|
|
|
|
|
|
|
|
|
|
| 66 |
}
|
| 67 |
```
|
|
|
|
| 55 |
**BibTeX:**
|
| 56 |
|
| 57 |
```
|
| 58 |
+
@inbook{RegeCambrin2025,
|
| 59 |
+
title = {Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation},
|
| 60 |
+
ISBN = {9783031923876},
|
| 61 |
+
ISSN = {1611-3349},
|
| 62 |
+
url = {http://dx.doi.org/10.1007/978-3-031-92387-6_5},
|
| 63 |
+
DOI = {10.1007/978-3-031-92387-6_5},
|
| 64 |
+
booktitle = {Computer Vision – ECCV 2024 Workshops},
|
| 65 |
+
publisher = {Springer Nature Switzerland},
|
| 66 |
+
author = {Rege Cambrin, Daniele and Corley, Isaac and Garza, Paolo},
|
| 67 |
+
year = {2025},
|
| 68 |
+
pages = {71–86}
|
| 69 |
}
|
| 70 |
```
|