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Hi @unsky
when i training the Deformable caffe on voc data, the error is below:
/home/chengshuai/test/Deformable-ConvNets-caffe-master/deformable_conv_faster-rcnn/tools/../lib/rpn/proposal_laye…
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训练了有dcnv2结构的pytorch模型,需要转成caffemodel部署到c++;但没有支持dcnv2的pytorch模型转caffe模型的脚本;
这里有dcnv2的caffe资源,https://github.com/zhanglonghao1992/Deformable-ConvNets-v1-v2-caffe;
本人尝试修改python代码支持dcnv2,能力有限没有成功,dcnv2…
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Platform: ubuntu 16.04:
Python version: 3.6
Source framework with version: mxnet-cu92mkl 1.2.0
Destination framework with version: pytorch-0.4 with GPU
Running scripts:
```
SYM=mxnet/Deforma…
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Hey,
I have built the similar FPN as you did, it worked well 'sometimes'.
For the default RPN_feat_Stride,which is =[64,32,16,8,4], I encountered a problem that L1LOSS became Nan at the first itera…
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Thanks for the DCN impl. in caffe. I am curious about the performance of the baseline model w/o deform_conv. Besides, have you tried more complex model such as ResNet-101?
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## 一言でいうと
CNNで畳み込みを行う際はどの場所でも同じフィルターを使うが、高次の特徴になるにつれその範囲で区切れているとは限らなくなる。そこで畳み込みを行う際に畳み込むポイントを当初のフィルターからずらし、またずらしの幅も同時に学習する手法を提案。
![image](https://user-images.githubusercontent.com/544269/3817151…
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Hi, It seems new label shapes does not support type 'list', the message is:
> TypeError: Arguments need to be shapes(tuple), but 'label' is
is there any plan to update the code for the newest v…
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iuzihao@liuzihao-All-Series:~/Deformable-ConvNets$ python experiments/rfcn/rfcn_end2end_train_test.py --cfg experiments/rfcn/cfgs/resnet_v1_101_coco_trainval_rfcn_dcn_end2end_ohem.yaml
Traceback (mos…
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Hi,have you test your results on faster res50 def?