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fix: docs for YOLOv11 naming (#1806)

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Sam Freund
2025-03-09 17:11:56 -05:00
committed by GitHub
parent 4057205583
commit a3304818d2
2 changed files with 5 additions and 5 deletions
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4
docs/source/docs/objectDetection/about-object-detection.md
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@@ -44,11 +44,11 @@ Before beginning, it is necessary to install the [rknn-toolkit2](https://github.
## Uploading Custom Models
:::{warning}
PhotonVision currently ONLY supports 640x640 Ultralytics YOLOv5, YOLOv8, and YOLO11 models trained and converted to `.rknn` format for RK3588 CPUs! Other models require different post-processing code and will NOT work. The model conversion process is also highly particular. Proceed with care.
PhotonVision currently ONLY supports 640x640 Ultralytics YOLOv5, YOLOv8, and YOLOv11 models trained and converted to `.rknn` format for RK3588 CPUs! Other models require different post-processing code and will NOT work. The model conversion process is also highly particular. Proceed with care.
:::
In the settings, under `Device Control`, there's an option to upload a new object detection model. Naming convention
should be `name-verticalResolution-horizontalResolution-modelType`. The
should be `name-verticalResolution-horizontalResolution-yolovXXX`. The
`name` should only include alphanumeric characters, periods, and underscores. Additionally, the labels
file ought to have the same name as the RKNN file, with `-labels` appended to the end. For
example, if the RKNN file is named `Algae_1.03.2025-640-640-yolov5s.rknn`, the labels file should be

6
photon-client/src/components/settings/ObjectDetectionCard.vue
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@@ -88,12 +88,12 @@ const supportedModels = computed(() => {
<v-card-title>Import New Object Detection Model</v-card-title>
<v-card-text>
Upload a new object detection model to this device that can be used in a pipeline. Naming convention
should be <code>name-verticalResolution-horizontalResolution-modelType</code>. The
should be <code>name-verticalResolution-horizontalResolution-yolovXXX</code>. The
<code>name</code> should only include alphanumeric characters, periods, and underscores. Additionally,
the labels file ought to have the same name as the RKNN file, with <code>-labels</code> appended to the
end. For example, if the RKNN file is named <code>note-640-640-yolov5s.rknn</code>, the labels file
should be named <code>note-640-640-yolov5s-labels.txt</code>. Note that ONLY 640x640 YOLOv5 & YOLOv8
models trained and converted to `.rknn` format for RK3588 CPUs are currently supported!
should be named <code>note-640-640-yolov5s-labels.txt</code>. Note that ONLY 640x640 YOLOv5, YOLOv8, and
YOLOv11 models trained and converted to `.rknn` format for RK3588 CPUs are currently supported!
<v-row class="mt-6 ml-4 mr-8">
<v-file-input v-model="importRKNNFile" label="RKNN File" accept=".rknn" />
</v-row>