Open AbanoubMamdouh opened 5 years ago
@AbanoubMamdouh Hi,
Yes, you can use hybrid cfg-file. The default yolov3-tiny-xnor is Hybrid cfg, because you should use FP32 for the 1st and last conv-layers.
You can set xnor=1
for any convolutional layers.
Hello, it's more of a question than an issue, is it possible to train my Yolov3-tiny network to have a hybrid configuration between the standard and the XNOR implementation of yolov3-tiny? For example, is it okay in the cfg file to set the XNOR=1 in some layers and not in some others? From what I read, there should be no problem, anybody has another opinion? Also, if this is possible, which weights file should I use? The XNOR one or the standard one? Thanks in advance