ShervinAr
ShervinAr
@eweill Hi there, did you manage to resolve the problem you had mentioned? I am facing the same problem...
@eweill My _guess_ is that the problem might have roots in : 1-different learning rates required for learning cars vs. pedestrians 2-insufficiency of training/val images for pedestrian detection: not all...
@sani1486 in my case, the stride of 16 was found to be suitable, so i did not change it. But, if one needs to change it I guess care should...
@lukeyeager Hello, is there a complete explanation on exactly which parameters one needs to adjust to train DetectNet on custom sized data where the _**stride**_ parameter also requires modification? So...
@Timen many thanks for your response. could you please provide the conv12 structure in Caffe?
@BichenWuUCB Many thanks for your response. Yes, actually I only need inference (deployment). Could you please provide some _**hints**_ on how to do such a conversion (i.e. convert SqueezeDet's structure...
@BichenWuUCB I would also be very thankful if you could let me know the dimensionalities of the outputs of fire10 and fire11 modules in the SqueezDet . Are these both...