About training

[zeroorhero]

Hello,thank you for your code!
when i am training ,there is no error .but can not train.

CUDA devices: <class 'torch.cuda.device'>
GPU numbers: 1
Create or load an imdb.
Loaded dataset voc_2007_trainval for training
Preparing training data...
voc_2007_trainval gt roidb loaded from /home/lcq/下载/residual-refinedet.pytorch-master/~/data/cache/voc_2007_trainval_gt_roidb.pkl
done
before filtering, there are 146 images...
after filtering, there are 146 images...
Construct vgg16_refinedet network.
/home/lcq/下载/residual-refinedet.pytorch-master/libs/networks/refinedet.py:34: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead.
self.anchors = Variable(self.anchor_layer.forward(), volatile=True)
Loading pretrained weights from weights/vgg16/vgg16_reducedfc.pth

/home/lcq/下载/residual-refinedet.pytorch-master/libs/networks/vgg_refinedet.py(56)_init_modules()
-> assert key_layer_ids[2] == -1 and key_layer_ids[3] == -1,
(Pdb)

do you know why? thank you !

[dd604]

Does this happen when you dubug? Maybe this means that you use wrong vgg. You should use the vgg network in this project, other than another vgg from pytorch.

[dd604]

Hello,thank you for your code!
when i am training ,there is no error .but can not train.

CUDA devices: <class 'torch.cuda.device'>
GPU numbers: 1
Create or load an imdb.
Loaded dataset voc_2007_trainval for training
Preparing training data...
voc_2007_trainval gt roidb loaded from /home/lcq/下载/residual-refinedet.pytorch-master/~/data/cache/voc_2007_trainval_gt_roidb.pkl
done
before filtering, there are 146 images...
after filtering, there are 146 images...
Construct vgg16_refinedet network.
/home/lcq/下载/residual-refinedet.pytorch-master/libs/networks/refinedet.py:34: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead.
self.anchors = Variable(self.anchor_layer.forward(), volatile=True)
Loading pretrained weights from weights/vgg16/vgg16_reducedfc.pth

/home/lcq/下载/residual-refinedet.pytorch-master/libs/networks/vgg_refinedet.py(56)_init_modules()
-> assert key_layer_ids[2] == -1 and key_layer_ids[3] == -1,
(Pdb)

do you know why? thank you !

Hi my friend, i have just updated the project, maybe there is some mess in the previous version. If there are some problem about the new version, please let me know. Thank you.