Instructions to use apple/DepthPro-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/DepthPro-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="apple/DepthPro-hf")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("apple/DepthPro-hf") model = AutoModelForDepthEstimation.from_pretrained("apple/DepthPro-hf") - Notebooks
- Google Colab
- Kaggle
File size: 280 Bytes
97cf2df | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": 0.5,
"image_processor_type": "DepthProImageProcessorFast",
"image_std": 0.5,
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 1536,
"width": 1536
}
}
|