Update installation instructions

Update installation (pisetup.md) and usage (usage.md) instructions for latest RPi OS 64-bit (Debian Trixie) and latest insect-detect v2.0.0 version. Update deploy workflow to latest github actions versions.

Author: maxsitt

.github/workflows/ci.yml .github/workflows/deploy.yml.github/workflows/ci.yml renamed to .github/workflows/deploy.yml

@@ -1,27 +1,34 @@
-name: ci
+name: Deploy docs
 on:
   push:
     branches:
       - main
+
+env:
+  PYTHON_VERSION: 3.x
+
 permissions:
   contents: write
+
 jobs:
   deploy:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
       - name: Configure Git Credentials
         run: |
           git config user.name github-actions[bot]
           git config user.email 41898282+github-actions[bot]@users.noreply.github.com
-      - uses: actions/setup-python@v5
+      - uses: actions/setup-python@v6
         with:
-          python-version: 3.x
-      - run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV 
-      - uses: actions/cache@v4
+          python-version: ${{ env.PYTHON_VERSION }}
+      - name: Set cache ID
+        id: cache_id
+        run: echo "value=$(date --utc '+%V')" >> $GITHUB_OUTPUT
+      - uses: actions/cache@v5
         with:
-          key: mkdocs-material-${{ env.cache_id }}
-          path: .cache
+          key: mkdocs-material-${{ steps.cache_id.outputs.value }}
+          path: ~/.cache
           restore-keys: |
             mkdocs-material-
       - run: pip install mkdocs-material mkdocs-glightbox

README.md

@@ -18,8 +18,7 @@ the DIY camera trap.
 The Insect Detect DIY camera trap system is composed of low-cost off-the-shelf hardware components
 ([Raspberry Pi Zero 2 W](https://www.raspberrypi.com/products/raspberry-pi-zero-2-w/),
 [Luxonis OAK-1](https://docs.luxonis.com/hardware/products/OAK-1),
-[Witty Pi 4 L3V7](https://www.uugear.com/product/witty-pi-4-l3v7/) or
-[PiJuice Zero pHAT](https://uk.pi-supply.com/products/pijuice-zero)), combined with
+[Witty Pi 4 L3V7](https://www.uugear.com/product/witty-pi-4-l3v7/)), combined with
 open source software and can be easily assembled and set up with the
 [provided instructions](https://maxsitt.github.io/insect-detect-docs/).
 
@@ -45,7 +44,7 @@ some standard tools are necessary, which are listed in the Hardware
 ## Software setup
 
 In the [**Software**](https://maxsitt.github.io/insect-detect-docs/software/)
-section of the documentaton website, all steps to get the camera trap up and
+section of the documentation website, all steps to get the camera trap up and
 running are explained. You will start with installing the necessary software
 to your [local PC](https://maxsitt.github.io/insect-detect-docs/software/localsetup/),
 to communicate with the Raspberry Pi Zero 2 W. The next steps will guide you
@@ -60,6 +59,11 @@ scripts and how to run them can be found in
 
 ## Model training
 
+> [!WARNING]
+> Detection model training is currently being refactored and will be updated soon.
+> YOLO detection models trained with the previous approach are not supported anymore
+> after insect-detect v2.0.0.
+
 The **Model Training** section will show you tools to
 [annotate](https://maxsitt.github.io/insect-detect-docs/modeltraining/annotation/)
 your own images and use these to train your custom YOLOv5, YOLOv6, YOLOv7 or YOLOv8

docs/assets/images/oak_rpi_pijuice.jpg

@@ -1,5 +1,11 @@
 # Object detection model training
 
+!!! warning "Deprecation notice"
+
+    Detection model training is currently being refactored and will be updated soon.
+    YOLO detection models trained with the previous approach are not supported anymore
+    after insect-detect v2.0.0.
+
 [YOLO](https://pjreddie.com/darknet/yolo/){target=_blank} (You Only Look Once)
 ([Redmon et al., 2016](https://doi.org/10.48550/arXiv.1506.02640){target=_blank})
 is the first object detection model which combines object detection (bounding