Update README.md

README.md

@@ -9,4 +9,45 @@ repo_url: https://github.com/lpiccinelli-eth/UniDepth
 
 This model has been pushed to the Hub using **UniDepth**:
 - Repo: https://github.com/lpiccinelli-eth/UniDepth
-- Docs: [More Information Needed]
+
+## Installation
+
+First install the UniDepth package as follows:
+
+```python
+!git clone -b add_hf https://github.com/NielsRogge/UniDepth.git
+!cd UniDepth
+!pip install -r requirements.txt
+```
+
+## Usage
+
+Next, one can load the model and perform inference as follows:
+
+```python
+from unidepth.models import UniDepthV1HF
+import numpy as np
+from PIL import Image
+
+model = UniDepthV1HF.from_pretrained("nielsr/unidepth-v1-convnext-large")
+
+# Move to CUDA, if any
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model = model.to(device)
+
+# Load the RGB image and the normalization will be taken care of by the model
+rgb = torch.from_numpy(np.array(Image.open(image_path))).permute(2, 0, 1) # C, H, W
+
+predictions = model.infer(rgb)
+
+# Metric Depth Estimation
+depth = predictions["depth"]
+
+# Point Cloud in Camera Coordinate
+xyz = predictions["points"]
+
+# Intrinsics Prediction
+intrinsics = predictions["intrinsics"]
+
+
+```