你好我的一个模型，使用相同的校准数据集在x86平台上分别利用bgr和nv12为板端输入格式进行量化部署，nv12格式有的图片会出现无法检测到目标，有的置信度大幅度降低，也有部分正常输出结果，想问是什么原因如何排查（图片均采用校准数据集）。
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查看OE-Skills专栏算法工具链x86模拟推理同模型相同校准数据集，不同输入格式，部分输出样例置信度低丢失检测目标
x86模拟推理同模型相同校准数据集，不同输入格式，部分输出样例置信度低丢失检测目标
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fataJtz17小时前
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Lv.1可能是NV12和RGB两条链路的预处理结果没有完全对齐，可以选择一张能稳定复现的图片先按RGB链路执行resize、letterbox/padding、BGR/RGB 通道转换等公共预处理，保存此时的rgb_preprocess。再将其转换为NV12，并按实际推理输入的Y plane+UV plane格式组织数据，之后将这个NV12再转回RGB去和rgb_preprocess去进行逐元素对比。还有一点需要注意就是BGR转NV12时不能直接把I420数据当作NV12使用，I420 的U、V是分平面排列，而NV12的UV是交错排列。生成NV12时需确认U、V的交错顺序。顺便一问，你使用的是bc模型在x86推理还是onnx呢？
10小时前00
