Instructions to use depth-anything/Depth-Anything-V2-Metric-Indoor-Small-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use depth-anything/Depth-Anything-V2-Metric-Indoor-Small-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="depth-anything/Depth-Anything-V2-Metric-Indoor-Small-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("depth-anything/Depth-Anything-V2-Metric-Indoor-Small-hf") model = AutoModelForDepthEstimation.from_pretrained("depth-anything/Depth-Anything-V2-Metric-Indoor-Small-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
License clarification for Metric-Indoor-Small model
#4 opened 8 months ago
by
takam77
two similar models?
#3 opened 8 months ago
by
a7vn
Only Low Brightness Images Working
#1 opened about 2 years ago
by
DylanZelkin