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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/11/06 04:43:02 UTC

[GitHub] [incubator-mxnet] mifan0208 opened a new issue #19485: use DCNv2-BUG

mifan0208 opened a new issue #19485:
URL: https://github.com/apache/incubator-mxnet/issues/19485


   when I use DCNv2,the dataloader will not work,but when I use origin Conv,it will work normally.Why?


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[GitHub] [incubator-mxnet] mifan0208 commented on issue #19485: use DCNv2-BUG

Posted by GitBox <gi...@apache.org>.
mifan0208 commented on issue #19485:
URL: https://github.com/apache/incubator-mxnet/issues/19485#issuecomment-723454937


   @leezu and I use the dcnv1,the model train normally,but  the model con't convergence?Why? Thankyou for your response.


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[GitHub] [incubator-mxnet] szha commented on issue #19485: use DCNv2-BUG

Posted by GitBox <gi...@apache.org>.
szha commented on issue #19485:
URL: https://github.com/apache/incubator-mxnet/issues/19485#issuecomment-775411844


   @mifan0208 I think you'd have better help from GluonCV community.


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[GitHub] [incubator-mxnet] mifan0208 commented on issue #19485: use DCNv2-BUG

Posted by GitBox <gi...@apache.org>.
mifan0208 commented on issue #19485:
URL: https://github.com/apache/incubator-mxnet/issues/19485#issuecomment-734371571


   @leezu  Hi,Can you help me solve this problem?


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[GitHub] [incubator-mxnet] leezu commented on issue #19485: use DCNv2-BUG

Posted by GitBox <gi...@apache.org>.
leezu commented on issue #19485:
URL: https://github.com/apache/incubator-mxnet/issues/19485#issuecomment-723381722


   Please provide a minimal example to reproduce the bug


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[GitHub] [incubator-mxnet] szha closed issue #19485: use DCNv2-BUG

Posted by GitBox <gi...@apache.org>.
szha closed issue #19485:
URL: https://github.com/apache/incubator-mxnet/issues/19485


   


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[GitHub] [incubator-mxnet] mifan0208 commented on issue #19485: use DCNv2-BUG

Posted by GitBox <gi...@apache.org>.
mifan0208 commented on issue #19485:
URL: https://github.com/apache/incubator-mxnet/issues/19485#issuecomment-723452962


   @leezu I just changed the base network resnet152 or res101 which is as backbone in ssd.from second to fourth ,change 
   The original conv:
   nn.Conv2D(channels=out_channel,kernel_size=3,strides=stride,padding=1,
                           use_bias=False,in_channels=in_channel)
   
   changed conv:
   gluon.contrib.cnn.ModulatedDeformableConvolution(channels=out_channel,kernel_size=3,strides=stride,
                                                                    padding=1,use_bias=False,in_channels=in_channel)
   
   when I use DCNv2,until the time is larger than timeout,the dataloader will not work,,but when I use origin Conv,it will work normally.
   


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