mxnet-yolo
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The different effects of different resnet pretrained models
Hi, before updating the resnet pretrained model in mxnet-yolo, I used the resnet pretrained model from mxnet-ssd to train. But after updating, I found that the effects of the resnet pretrained model from mxnet-yolo was better than that from mxnet-ssd. What's the reason? I'm a little puzzled. Thx.
Emm, I found that the sizes of ".params" files were different. They are 118M and 97M. What's the difference of them? Thx.
The old default network is darknet 19, I switched to resnet50 as base model.
Thx.