fix docker

Author: micaelakaplan

label_studio_ml/examples/segment_anything_2_image/Dockerfile

@@ -22,7 +22,6 @@ ENV PYTHONUNBUFFERED=1 \
     WORKERS=2 \
     THREADS=4 \
     CUDA_HOME=/usr/local/cuda \
-    SEGMENT_ANYTHING_2_REPO_PATH=/segment-anything-2
 
 # this image is already built with cuda 12.1.1, so we don't need to install it again
 # RUN conda install -c "nvidia/label/cuda-12.1.1" cuda -y 
@@ -40,7 +39,7 @@ RUN --mount=type=cache,target=${PIP_CACHE_DIR},sharing=locked \
     pip3 install -r requirements.txt
 
 # install segment-anything-2
-RUN cd / && git clone --depth 1 --branch main --single-branch https://github.com/facebookresearch/segment-anything-2.git
+RUN cd ~ && git clone --depth 1 --branch main --single-branch https://github.com/facebookresearch/segment-anything-2.git
 WORKDIR /segment-anything-2
 RUN --mount=type=cache,target=${PIP_CACHE_DIR},sharing=locked \
     pip3 install -e .

label_studio_ml/examples/segment_anything_2_image/README.md

@@ -136,15 +136,17 @@ pip install -r requirements.txt
 2. Download [`segment-anything-2` repo](https://github.com/facebookresearch/sam2) into the root directory. Install SegmentAnything model and download checkpoints using [the official Meta documentation](https://github.com/facebookresearch/sam2?tab=readme-ov-file#installation)
 You should now have the following folder structure: 
 
+
     | root directory 
         | label-studio-ml-backend 
             | label-studio-ml
                 | examples 
-                    | segment_anythng_2_image
+                    | segment_anything_2_image
         | sam2
             | sam2
             | checkpoints
 
+
 3. Then you can start the ML backend on the default port `9090`:
 
 ```bash