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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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Marc Altmann 2023-11-16 22:03:16 +01:00 committed by GitHub
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docs/docs/configuration/object_detectors.md
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@ -319,8 +319,13 @@ detectors: # required
model: # required model: # required
# name of yolov8 model or path to your own .rknn model file # name of yolov8 model or path to your own .rknn model file
# possible names of yolov8 models are: default-yolov8n, # possible values are:
# default-yolov8s, default-yolov8m, default-yolov8l, default-yolov8x" # - default-yolov8n
# - default-yolov8s
# - default-yolov8m
# - default-yolov8l
# - default-yolov8x
# - /config/model_cache/rknn/your_custom_model.rknn
path: default-yolov8n path: default-yolov8n
# width and height of detection frames # width and height of detection frames
width: 320 width: 320
@ -341,7 +346,7 @@ Explanation for rknn specific options:
### Choosing a model ### Choosing a model
There are 5 yolov8 models that differ in size and therefore load the NPU more or less. In ascending order, with the top one being the smallest and least computationally intensive model: There are 5 default yolov8 models that differ in size and therefore load the NPU more or less. In ascending order, with the top one being the smallest and least computationally intensive model:
| Model | Size in mb | | Model | Size in mb |
| ------- | ---------- | | ------- | ---------- |