kernel weights has count 2688 but 32640 was expected

[SunnyBoy-GitHub]

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./yolov5_det -s bestss.wts bestss.engine s
[W] [TRT] The implicit batch dimension mode has been deprecated. Please create the network with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag whenever possible.
Loading weights: bestss.wts
(Unnamed Layer* 201) [Convolution]:kernel weights has count 2688 but 32640 was expected
[E] [TRT] 4: (Unnamed Layer* 201) [Convolution]: count of 2688 weights in kernel, but kernel dimensions (1,1) with 128 input channels, 255 output channels and 1 groups were specified. Expected Weights count is 128 * 11 * 255 / 1 = 32640
[E] [TRT] 4: [convolutionNode.cpp::computeOutputExtents::57] Error Code 4: Internal Error ((Unnamed Layer 201) [Convolution]: number of kernel weights does not match tensor dimensions)
大佬这种转模型为什么会出现最终输出参数不同呢，大佬有办法解决吗

[wang-xinyu]

修改这个了吗

Update kNumClass in src/config.h if your model is trained on custom dataset