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Modifications to the YOLOv9 object detection model:

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The model is now dynamically downloaded to the cache directory.
Post-processing is now done using Frigate's built-in `post_process_yolo`.
Configuration in the relevant documentation has been updated.
This commit is contained in:
shizhicheng
2025-11-11 04:40:27 +00:00
parent 91e17e12b7
commit 1dee548dbc
4 changed files with 49 additions and 92 deletions
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docker/axcl/Dockerfile
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@@ -11,10 +11,6 @@ FROM frigate AS frigate-axcl
ARG TARGETARCH
ARG PIP_BREAK_SYSTEM_PACKAGES
# Install axmodels
RUN mkdir -p /axmodels \
&& wget https://github.com/ivanshi1108/assets/releases/download/v0.16.2/yolov9_tiny_u16_npu3_bgr_320x320_nhwc.axmodel -O /axmodels/yolov9_320.axmodel
# Install axpyengine
RUN wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc1/axengine-0.1.3-py3-none-any.whl -O /axengine-0.1.3-py3-none-any.whl
RUN pip3 install -i https://mirrors.aliyun.com/pypi/simple/ /axengine-0.1.3-py3-none-any.whl \