docs: added sahi example and constrain python to 3.9-3.11

README.md

@@ -34,12 +34,23 @@ The algorithm workflow looks like this:
 
 # Installation
 
+This code can be run from a command-line or from a jupyter notebook.  The following instructions are for running from the command-line.
+
 ```shell
 git clone https://github.com/mbari/sdcat.git
 cd sdcat
 conda env create -f environment.yml
 ```
 
+Or, from a jupyter notebook. 
+
+```
+conda activate sdcat
+pip install ipykernel
+python -m ipykernel install --user --name=sdcat
+jupyter notebook
+``` 
+
 A GPU is recommended for clustering and detection.  If you don't have a GPU, you can still run the code, but it will be slower.
 If running on a CPU, multiple cores are recommended and will speed up processing.
 For large datasets, the RapidsAI cuDF library is recommended for faster processing, although it does not currently support

environment.yml

@@ -2,7 +2,7 @@ name: sdcat
 channels:
   - conda-forge
 dependencies:
-  - python>=3.9
+  - python >=3.9,<3.12
   - pip
   - pip:
-    - -r requirements.txt
+    - -r requirements.txt