Update readme's: add installation instructions for [animals] extra

Author: deruyter92

README.md

@@ -36,6 +36,12 @@ conda activate fmpose_3d
 pip install fmpose3d
 ```
 
+For the animal pipeline, install the optional DeepLabCut dependency:
+
+```bash
+pip install "fmpose3d[animals]"
+```
+
 ## Demos
 
 ### Testing on in-the-wild images (humans)

fmpose3d/inference_api/README.md

@@ -48,6 +48,12 @@ result = api.predict("dog.jpg")
 print(result.poses_3d.shape)  # (1, 26, 3)
 ```
 
+Before using the animal pipeline, install the optional DeepLabCut dependency:
+
+```bash
+pip install "fmpose3d[animals]"
+```
+
 
 ## API Documentation
 
@@ -221,6 +227,9 @@ Default 2D estimator for the human pipeline. Wraps HRNet + YOLO with a COCO →
 
 2D estimator for the animal pipeline. Uses DeepLabCut SuperAnimal and maps quadruped80K keypoints to the 26-joint Animal3D layout.
 
+If DeepLabCut is not installed, calling this estimator raises a clear `ImportError`
+with the recommended install command: `pip install "fmpose3d[animals]"`.
+
 - `setup_runtime()` — No-op (DLC loads lazily).
 - `predict(frames: ndarray)` → `(keypoints, scores, valid_frames_mask)` — Returns Animal3D-format 2D keypoints plus a frame-level validity mask.