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Update Allowed Naming Conventions For Object Detection Models (#1749)

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Sam Freund
2025-02-09 09:12:47 -06:00
committed by GitHub
parent 7067c75525
commit 00fb4bdf07
6 changed files with 218 additions and 36 deletions
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11
photon-client/src/components/settings/ObjectDetectionCard.vue
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@@ -88,11 +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>. 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 <code>name-verticalResolution-horizontalResolution-modelType</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!
<v-row class="mt-6 ml-4 mr-8">
<v-file-input v-model="importRKNNFile" label="RKNN File" accept=".rknn" />
</v-row>