Instructions to use Intel/dpt-hybrid-midas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dpt-hybrid-midas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="Intel/dpt-hybrid-midas")# Load model directly from transformers import AutoImageProcessor, AutoModelForDepthEstimation processor = AutoImageProcessor.from_pretrained("Intel/dpt-hybrid-midas") model = AutoModelForDepthEstimation.from_pretrained("Intel/dpt-hybrid-midas", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 382 Bytes
eac86af | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"ensure_multiple_of": 1,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "DPTImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"keep_aspect_ratio": false,
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 384,
"width": 384
}
}
|