suzhenghang / mobilenetv2 Goto Github PK

您好，在您的refinedet_mobilenetv2中,最后的P6、P5网络层中为什么num_output=6class_num？而在标准的refinedet中num_output=3class_num.

Hi, can you share your time for forwarding of a 224x224 image? And is it as fast as the speed reported in the mobilev2 paper.
I have train this model with caffe, but the speed is lower than mobilenetv1, also the paper.

MobileNetV2_deploy.prototxt
line63 : name: "relu1_new"
line3196: name: "relu1_new"

Two layers are using the same name.

Could you provide the instructions? I am a new one in deep learning domain.I donnot know how can I run it at VS

Thanks for your sharing your model. I also trained mobilenetv2 by myself. But unfortunately I can only get 70.9% top-1 on imagenet 2012. I will be very appreciated if you could share your training configuration to help me improve my training. Thanks :)

Hello, which version of your caffe version is used, the original version of refinedet does not support depthwise.

Hi
Can you share your accuracy or even caffemodel?
When I run shufflenet, the utilization rate of the computer's hard disk often reaches 100%. Have you ever met this situation?
Thanks!