From f90397a8c1c5afe37181559353f16ed5b340868c Mon Sep 17 00:00:00 2001 From: Marc Altmann <40744649+MarcA711@users.noreply.github.com> Date: Thu, 16 Nov 2023 22:03:16 +0100 Subject: [PATCH] Apply suggestions from code review Co-authored-by: Nicolas Mowen --- docs/docs/configuration/object_detectors.md | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md index daa5c73bf..3ccd7937b 100644 --- a/docs/docs/configuration/object_detectors.md +++ b/docs/docs/configuration/object_detectors.md @@ -319,8 +319,13 @@ detectors: # required model: # required # name of yolov8 model or path to your own .rknn model file - # possible names of yolov8 models are: default-yolov8n, - # default-yolov8s, default-yolov8m, default-yolov8l, default-yolov8x" + # possible values are: + # - default-yolov8n + # - default-yolov8s + # - default-yolov8m + # - default-yolov8l + # - default-yolov8x + # - /config/model_cache/rknn/your_custom_model.rknn path: default-yolov8n # width and height of detection frames width: 320 @@ -341,7 +346,7 @@ Explanation for rknn specific options: ### 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 | | ------- | ---------- |