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Adding an example for depth-estimation pipeline. #20237

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Narsil merged 2 commits into from
Nov 16, 2022
Merged

Adding an example for depth-estimation pipeline. #20237

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4f38b89
Adding an example for `depth-estimation` pipeline.
Narsil Nov 15, 2022
bc1bdb1
Adding missing internal link to tutorial.
Narsil Nov 15, 2022
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15 changes: 15 additions & 0 deletions src/transformers/pipelines/depth_estimation.py
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Expand Up @@ -24,6 +24,21 @@ class DepthEstimationPipeline(Pipeline):
"""
Depth estimation pipeline using any `AutoModelForDepthEstimation`. This pipeline predicts the depth of an image.

Example:

```python
>>> from transformers import pipeline

>>> depth_estimator = pipeline(task="depth-estimation", model="Intel/dpt-large")
>>> output = depth_estimator("http://images.cocodataset.org/val2017/000000039769.jpg")
>>> # This is a tensor with the values being the depth expressed in meters for each pixel
>>> output["predicted_depth"].shape
torch.Size([1, 384, 384])
```

[Using pipelines in a webserver or with a dataset](../pipeline_tutorial)


This depth estimation pipeline can currently be loaded from [`pipeline`] using the following task identifier:
`"depth-estimation"`.

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