Revert "Add COCO model for RKNN (#2026)" (#2033)

This reverts commit 7531238.

## Description

The COCO dataset contains images that use the NC and/or ND variants of
the CC license, and distributing a model based on that dataset is most
likely a violation of licenses. Additionally, the model is licensed under AGPL,
which might be a concern for PhotonVision, and at a minimum, there's no
license file bundled with the model right now.

## 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
- [ ] If this PR touches photon-serde, all messages have been
regenerated and hashes have not changed unexpectedly
- [ ] If this PR touches configuration, this is backwards compatible
with settings back to v2024.3.1
- [ ] If this PR touches pipeline settings or anything related to data
exchange, the frontend typing is updated
- [ ] If this PR addresses a bug, a regression test for it is added

Author: Gold856

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

@@ -4,7 +4,7 @@
 
 PhotonVision supports object detection using neural network accelerator hardware built into Orange Pi 5/5+ coprocessors. Please note that the Orange Pi 5/5+ are the only coprocessors that are currently supported. The Neural Processing Unit, or NPU, is [used by PhotonVision](https://github.com/PhotonVision/rknn_jni/tree/main) to massively accelerate certain math operations like those needed for running ML-based object detection.
 
-PhotonVision currently ships with a model trained on the [COCO dataset](https://cocodataset.org/). This model is meant to be used for testing and other miscellaneous purposes. It is not meant to be used in competition. For the 2025 post-season, PhotonVision also ships with a pretrained ALGAE model. A model to detect coral is available in the PhotonVision discord, but will not be distributed with PhotonVision.
+For the 2025 season, PhotonVision ships with a pretrained ALGAE model. A model to detect coral is not currently stable, and interested teams should ask in the Photonvision discord.
 
 ## Tracking Objects
 

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

@@ -71,97 +71,6 @@ private NeuralNetworkPropertyManager getShippedProperties(File modelsDirectory)
                         Family.RKNN,
                         Version.YOLOV8));
 
-        nnProps.addModelProperties(
-                new ModelProperties(
-                        Path.of(modelsDirectory.getAbsolutePath(), "yolov8nCOCO.rknn"),
-                        "COCO",
-                        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")),
-                        640,
-                        640,
-                        Family.RKNN,
-                        Version.YOLOV8));
-
         return nnProps;
     }