Closed Grabber closed 5 years ago
I just upload the caffe model for training.
@ShiqiYu
Is there any Caffe modification to train using the network spec files? How do you train it, step by step?
multibox_loss_param {
loc_loss_type: L2
conf_loss_type: SOFTMAX
loc_weight: 1.0
num_classes: 2
share_location: true
match_type: PER_PREDICTION
overlap_threshold: 0.34999999404
use_prior_for_matching: true
background_label_id: 0
use_difficult_gt: true
neg_pos_ratio: 3.0
neg_overlap: 0.34999999404
code_type: CENTER_SIZE
ignore_cross_boundary_bbox: false
mining_type: MAX_NEGATIVE
}
Use Nvidia Caffe
Luiz Vitor Martinez Cardoso notifications@github.com于2019年3月16日 周六05:29写道:
@ShiqiYu https://github.com/ShiqiYu
Is there any Caffe modification to train using the network spec files? How do you train it, step by step?
multibox_loss_param { loc_loss_type: L2 conf_loss_type: SOFTMAX loc_weight: 1.0 num_classes: 2 share_location: true match_type: PER_PREDICTION overlap_threshold: 0.34999999404 use_prior_for_matching: true background_label_id: 0 use_difficult_gt: true neg_pos_ratio: 3.0 neg_overlap: 0.34999999404 code_type: CENTER_SIZE ignore_cross_boundary_bbox: false mining_type: MAX_NEGATIVE }
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CNN weights are set as static variables. Is there any code available for training in new datasets?