add Colab support to the notebooks; pack config files in sam2_configs package during installation (#176)

INSTALL.md

@@ -26,7 +26,7 @@ If you see a message like `Skipping the post-processing step due to the error ab
 
 If you would like to enable this post-processing step, you can reinstall SAM 2 on a GPU machine with environment variable `SAM2_BUILD_ALLOW_ERRORS=0` to force building the CUDA extension (and raise errors if it fails to build), as follows
 ```bash
-pip uninstall -y SAM-2; SAM2_BUILD_ALLOW_ERRORS=0 pip install -v -e ".[demo]"
+pip uninstall -y SAM-2; rm -f sam2/*.so; SAM2_BUILD_ALLOW_ERRORS=0 pip install -v -e ".[demo]"
 ```
 
 Note that PyTorch needs to be installed first before building the SAM 2 CUDA extension. It's also necessary to install [CUDA toolkits](https://developer.nvidia.com/cuda-toolkit-archive) that match the CUDA version for your PyTorch installation. (This should typically be CUDA 12.1 if you follow the default installation command.) After installing the CUDA toolkits, you can check its version via `nvcc --version`.
@@ -56,7 +56,7 @@ I got `MissingConfigException: Cannot find primary config 'sam2_hiera_l.yaml'`
 
 This is usually because you haven't run the `pip install -e .` step above, so `sam2_configs` isn't in your Python's `sys.path`. Please run this installation step. In case it still fails after the installation step, you may try manually adding the root of this repo to `PYTHONPATH` via
 ```bash
-export SAM2_REPO_ROOT=/path/to/segment-anything  # path to this repo
+export SAM2_REPO_ROOT=/path/to/segment-anything-2  # path to this repo
 export PYTHONPATH="${SAM2_REPO_ROOT}:${PYTHONPATH}"
 ```
 to manually add `sam2_configs` into your Python's `sys.path`.