Add COCO trained model for RKNN (#2035)

## Description

See #2026 for the previous iteration of this PR.

This adds the RKNN model trained on the COCO dataset as one of the
models shipped with PV. This model is fairly general, and has been
trained to identify a number of objects, including people, animals,
cars, and more. This model is meant for teams to test object detection,
particularly for teams who might not have access to the game elements
that our other models are trained on.

It additionally acknowledges Ultralytics for the model, and includes the
AGPL copyleft license.

## Meta

Merge checklist:
- [x] Pull Request title is [short, imperative
summary](https://cbea.ms/git-commit/) of proposed changes
- [x] The description documents the _what_ and _why_
- [x] If this PR changes behavior or adds a feature, user documentation
is updated
- [x] If this PR touches photon-serde, all messages have been
regenerated and hashes have not changed unexpectedly
- [x] If this PR touches configuration, this is backwards compatible
with settings back to v2024.3.1
- [x] If this PR touches pipeline settings or anything related to data
exchange, the frontend typing is updated
- [x] If this PR addresses a bug, a regression test for it is added

photon-core/src/main/java/org/photonvision/common/configuration/NeuralNetworkModelManager.java

@@ -61,6 +61,90 @@ public class NeuralNetworkModelManager {
     private NeuralNetworkPropertyManager getShippedProperties(File modelsDirectory) {
         NeuralNetworkPropertyManager nnProps = new NeuralNetworkPropertyManager();
 
+        LinkedList<String> cocoLabels =
+                new LinkedList<String>(
+                        List.of(
+                                "person",
+                                "bicycle",
+                                "car",
+                                "motorcycle",
+                                "airplane",
+                                "bus",
+                                "train",
+                                "truck",
+                                "boat",
+                                "traffic light",
+                                "fire hydrant",
+                                "stop sign",
+                                "parking meter",
+                                "bench",
+                                "bird",
+                                "cat",
+                                "dog",
+                                "horse",
+                                "sheep",
+                                "cow",
+                                "elephant",
+                                "bear",
+                                "zebra",
+                                "giraffe",
+                                "backpack",
+                                "umbrella",
+                                "handbag",
+                                "tie",
+                                "suitcase",
+                                "frisbee",
+                                "skis",
+                                "snowboard",
+                                "sports ball",
+                                "kite",
+                                "baseball bat",
+                                "baseball glove",
+                                "skateboard",
+                                "surfboard",
+                                "tennis racket",
+                                "bottle",
+                                "wine glass",
+                                "cup",
+                                "fork",
+                                "knife",
+                                "spoon",
+                                "bowl",
+                                "banana",
+                                "apple",
+                                "sandwich",
+                                "orange",
+                                "broccoli",
+                                "carrot",
+                                "hot dog",
+                                "pizza",
+                                "donut",
+                                "cake",
+                                "chair",
+                                "couch",
+                                "potted plant",
+                                "bed",
+                                "dining table",
+                                "toilet",
+                                "tv",
+                                "laptop",
+                                "mouse",
+                                "remote",
+                                "keyboard",
+                                "cell phone",
+                                "microwave",
+                                "oven",
+                                "toaster",
+                                "sink",
+                                "refrigerator",
+                                "book",
+                                "clock",
+                                "vase",
+                                "scissors",
+                                "teddy bear",
+                                "hair drier",
+                                "toothbrush"));
+
         nnProps.addModelProperties(
                 new ModelProperties(
                         Path.of(modelsDirectory.getAbsolutePath(), "algaeV1-640-640-yolov8n.rknn"),
@@ -71,6 +155,16 @@ public class NeuralNetworkModelManager {
                         Family.RKNN,
                         Version.YOLOV8));
 
+        nnProps.addModelProperties(
+                new ModelProperties(
+                        Path.of(modelsDirectory.getAbsolutePath(), "yolov8nCOCO.rknn"),
+                        "COCO",
+                        cocoLabels,
+                        640,
+                        640,
+                        Family.RKNN,
+                        Version.YOLOV8));
+
         return nnProps;
     }