Update environment configuration

1. Force to use scikit-learn>=1.3 to avoid `DeprecationWarning` from NumPy.
2. Use opencv-contrib-python-headless to avoid conflicts with PyQt installed with conda (https://stackoverflow.com/q/46449850 opencv/opencv-python#46 (comment)).

env_config/environment.yml

@@ -1,20 +1,20 @@
 channels:
-  - nvidia
   - pytorch
+  - nvidia
   - defaults
 dependencies:
   - jupyter=1.0.0
   - matplotlib=3.8.0
-  - numpy=1.26.0
+  - numpy=1.24.3
   - pip=23.3
   - python=3.11.5
   - pytorch=2.1.1
   - pytorch-cuda=11.8
-  - scikit-learn=1.2.2
+  - scikit-learn=1.3.0
   - scipy=1.11.3
   - torchaudio=2.1.1
   - torchvision=0.16.1
   - pip:
       - captum==0.6.0
-      - opencv-contrib-python==4.8.1.78
+      - opencv-contrib-python-headless==4.8.1.78
       - torchio==0.19.2

env_config/environment_latest.yml

@@ -1,6 +1,6 @@
 channels:
-  - nvidia
   - pytorch
+  - nvidia
   - defaults
 dependencies:
   - jupyter
@@ -10,11 +10,11 @@ dependencies:
   - python=3.11
   - pytorch
   - pytorch-cuda=11
-  - scikit-learn
+  - scikit-learn>=1.3
   - scipy
   - torchaudio
   - torchvision
   - pip:
       - captum
-      - opencv-contrib-python
+      - opencv-contrib-python-headless
       - torchio