From c9cd552dd2af20a62013522071222d2891307573 Mon Sep 17 00:00:00 2001 From: Nicolas Mowen Date: Wed, 23 Apr 2025 09:19:32 -0600 Subject: [PATCH] Update docs for rknn downloads --- docs/docs/configuration/object_detectors.md | 33 ++++++++++++--------- 1 file changed, 19 insertions(+), 14 deletions(-) diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md index fa6132dc8d..ed783e0937 100644 --- a/docs/docs/configuration/object_detectors.md +++ b/docs/docs/configuration/object_detectors.md @@ -844,14 +844,14 @@ detectors: # required The inference time was determined on a rk3588 with 3 NPU cores. -| Model | Size in mb | Inference time in ms | -| ------------------- | ---------- | -------------------- | -| deci-fp16-yolonas_s | 24 | 25 | -| deci-fp16-yolonas_m | 62 | 35 | -| deci-fp16-yolonas_l | 81 | 45 | -| yolov9_tiny | 8 | 35 | -| yolox_nano | 3 | 16 | -| yolox_tiny | 6 | 20 | +| Model | Size in mb | Inference time in ms | +| --------------------- | ---------- | -------------------- | +| deci-fp16-yolonas_s | 24 | 25 | +| deci-fp16-yolonas_m | 62 | 35 | +| deci-fp16-yolonas_l | 81 | 45 | +| frigate-fp16-yolov9-t | 6 | 35 | +| rock-i8-yolox_nano | 3 | 14 | +| rock-i8_yolox_tiny | 6 | 18 | - All models are automatically downloaded and stored in the folder `config/model_cache/rknn_cache`. After upgrading Frigate, you should remove older models to free up space. - You can also provide your own `.rknn` model. You should not save your own models in the `rknn_cache` folder, store them directly in the `model_cache` folder or another subfolder. To convert a model to `.rknn` format see the `rknn-toolkit2` (requires a x86 machine). Note, that there is only post-processing for the supported models. @@ -887,10 +887,13 @@ The pre-trained YOLO-NAS weights from DeciAI are subject to their license and ca model: # required # name of model (will be automatically downloaded) or path to your own .rknn model file # possible values are: - # - yolov9-t - # - yolov9-s + # - frigate-fp16-yolov9-t + # - frigate-fp16-yolov9-s + # - frigate-fp16-yolov9-m + # - frigate-fp16-yolov9-c + # - frigate-fp16-yolov9-e # your yolo_model.rknn - path: /config/model_cache/rknn_cache/yolov9-t.rknn + path: frigate-fp16-yolov9-t model_type: yolo-generic width: 320 height: 320 @@ -905,10 +908,12 @@ model: # required model: # required # name of model (will be automatically downloaded) or path to your own .rknn model file # possible values are: - # - yolox_nano - # - yolox_tiny + # - rock-i8-yolox_nano + # - rock-i8-yolox_tiny + # - rock-fp16-yolox_nano + # - rock-fp16-yolox_tiny # your yolox_model.rknn - path: yolox_tiny + path: rock-i8-yolox_nano model_type: yolox width: 416 height: 416