Update RPI Image 7/4/24 (#1373)

Bump libcamera version to support new pi image.

.github/workflows/build.yml

@@ -359,7 +359,7 @@ jobs:
           - os: ubuntu-latest
             artifact-name: LinuxArm64
             image_suffix: RaspberryPi
-            image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-1/photonvision_raspi.img.xz
+            image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-4/photonvision_raspi.img.xz
             cpu: cortex-a7
             image_additional_mb: 0
             extraOpts: -Djdk.lang.Process.launchMechanism=vfork
@@ -398,19 +398,19 @@ jobs:
           - os: ubuntu-latest
             artifact-name: LinuxArm64
             image_suffix: RaspberryPi
-            image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-1/photonvision_raspi.img.xz
+            image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-4/photonvision_raspi.img.xz
             cpu: cortex-a7
             image_additional_mb: 0
           - os: ubuntu-latest
             artifact-name: LinuxArm64
             image_suffix: limelight2
-            image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-1/photonvision_limelight.img.xz
+            image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-4/photonvision_limelight.img.xz
             cpu: cortex-a7
             image_additional_mb: 0
           - os: ubuntu-latest
             artifact-name: LinuxArm64
             image_suffix: limelight3
-            image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-1/photonvision_limelight3.img.xz
+            image_url: https://github.com/PhotonVision/photon-image-modifier/releases/download/v2025.0.0-beta-4/photonvision_limelight3.img.xz
             cpu: cortex-a7
             image_additional_mb: 0
           - os: ubuntu-latest

build.gradle

@@ -33,7 +33,7 @@ ext {
     openCVversion = "4.8.0-2"
     joglVersion = "2.4.0"
     javalinVersion = "5.6.2"
-    libcameraDriverVersion = "dev-v2023.1.0-12-gfb1eafb"
+    libcameraDriverVersion = "dev-v2023.1.0-14-g787ab59"
     rknnVersion = "dev-v2024.0.1-4-g0db16ac"
     frcYear = "2024"
     mrcalVersion = "dev-v2024.0.0-24-gc1efcf0";

docs/source/docs/objectDetection/about-object-detection.md

@@ -15,7 +15,7 @@ Before you get started with object detection, ensure that you have followed the
 
 PhotonVision currently ships with a NOTE detector based on a [YOLOv5 model](https://docs.ultralytics.com/yolov5/). This model is trained to detect one or more object "classes" (such as cars, stoplights, or in our case, NOTES) in an input image. For each detected object, the model outputs a bounding box around where in the image the object is located, what class the object belongs to, and a unitless confidence between 0 and 1.
 
-:::{note} 
+:::{note}
 This model output means that while its fairly easy to say that "this rectangle probably contains a NOTE", we don't have any information about the NOTE's orientation or location. Further math in user code would be required to make estimates about where an object is physically located relative to the camera.
 :::