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README.md

@@ -1,12 +1,3 @@
----
-license: cc
-language:
-- en
-pipeline_tag: image-feature-extraction
-tags:
-- humans
-- densemarks
----
 # DenseMarks
 
 A PyTorch implementation for dense UVW coordinate prediction from human head images using DINOv3 backbone with DPT head architecture.
@@ -29,7 +20,7 @@ DenseMarks predicts per-pixel positions in canonical space (cube [0, 1]³) from
 
 1. **Clone the repository:**
    ```bash
-   git clone https://github.com/yourusername/densemarks.git
+   git clone https://github.com/diddone/densemarks.git
    cd densemarks
    ```
 
@@ -40,7 +31,11 @@ DenseMarks predicts per-pixel positions in canonical space (cube [0, 1]³) from
 
 3. **Modify DINOv3 for compatibility:**
    ```bash
-   sed -i '/dinov3\.hub\.segmentors/s/^/#/' third_party_dinov3/hubconf.py
+   # For Linux (GNU sed):
+   sed -i '/dinov3\.hub\.segmentors/s/^/#/; /dinov3\.hub\.classifiers/s/^/#/; /dinov3\.hub\.detectors/s/^/#/; /dinov3\.hub\.dinotxt/s/^/#/; /dinov3\.hub\.depthers/s/^/#/' third_party_dinov3/hubconf.py
+
+   # For macOS (BSD sed):
+   sed -i '' '/dinov3\.hub\.segmentors/s/^/#/; /dinov3\.hub\.classifiers/s/^/#/; /dinov3\.hub\.detectors/s/^/#/; /dinov3\.hub\.dinotxt/s/^/#/; /dinov3\.hub\.depthers/s/^/#/' third_party_dinov3/hubconf.py
    ```
 
 4. **Install dependencies:**