Merge pull request #2 from qupath/conda

Use conda instead of venv

README.md

@@ -9,10 +9,12 @@ These are the notebooks and associated files for the i2k 2024
 2. Download the [QuPath project](https://github.com/qupath/i2k-qupath-for-python-programmers/releases/download/untagged-4b3138048386c601ccdf/i2k-qupath-python-project.zip)
    for this workshop.
 3. Unzip the project in the i2k-qupath-for-python-programmers directory
-4. Create a python virtual environment (bash):
-   1. `python -m venv .venv`
-   2. `. ./.venv/bin/activate`
-   3. `pip install instanseg-torch git+https://github.com/qupath/qubalab.git jupyter ipython leidenalg igraph umap-learn`
+4. Create a conda environment (bash):
+   1. `conda create -n i2k-qupath-python python=3.10`
+   2. `conda activate i2k-qupath-python`
+   3. Install the requirements, either by
+      - `pip install -r requirements.txt`, or
+      - `pip install instanseg-torch git+https://github.com/qupath/qubalab.git jupyter ipython leidenalg igraph umap-learn`.
 5. Open QuPath v0.6.0
 6. Start a py4j gateway with default parameters
 7. Open the `i2k-qupath-python-project` in QuPath