Reson

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@Audrey528 你好,推理速度慢的问题解决了吗,我推理一个yolox-nano竟然需要0.4s多

Hi,about the code "x_train_mean = x_train.mean() x_train_std = x_train.std() " , I have tested that the output is a scalar; It shouldn't be a vector with the same length as...

One more question, the code "conv1 = keras.layers.Conv2D(128, 8, 1, padding='same')(x)" is the order of "filters=128, kernel_size=(8,1)" yeah ?

it works under "save_weights_only=FALSE" when saving the model, but fails when load the model

> You can convert your pytorch YOLO model before the three YOLO layers, because this series of problems come from them. do you mean only accelerate the backbone of yolo...