Comments (7)
sorry, the codes dont support matlab
from deformable-convnets-caffe.
@haoliyoupai09 you solve the matcaffe error problem?I also want to use deformable conv with matcaffe,looking forward to your reply!!
from deformable-convnets-caffe.
Yes, I recompiled the matcaffe interface and it worked. Adding a new layaer in caffe deos not influence the use of caffemodel in matlab.
from deformable-convnets-caffe.
@haoliyoupai09 can you use this code on Caffe + Matcaffe successfully?
from deformable-convnets-caffe.
Yes, no error occurs during the compilation of matcaffe and running of code. But the performance is not good with deformable convolutional network. I do not know why.
from deformable-convnets-caffe.
Yes, no error occurs during the compilation of matcaffe and running of code. But the performance is not good with deformable convolutional network. I do not know why.
@haoliyoupai09 Thanks. What is task you are working on? Are the performance gap significant or slight?
from deformable-convnets-caffe.
Yes, no error occurs during the compilation of matcaffe and running of code. But the performance is not good with deformable convolutional network. I do not know why.
@haoliyoupai09 I placed one deformable layer at the end of my network. After training, the outputs of this deformable layer are 0. I checked the outputs of the offset layer, which are very large. Do you know why? Could you share more details about how to use this layer? Thanks
from deformable-convnets-caffe.
Related Issues (20)
- the error after make HOT 4
- could you release deformable roipooling HOT 2
- Ask for help ,about the traing of deform HOT 3
- The hyper-parameters for reproduce the deform conv model on VOC
- About example 'mnist' HOT 2
- model share
- ResNet50_dcn_iter_30000.caffemodel
- caffemodel HOT 2
- train.prototxt
- What's the use of deformable_group? HOT 3
- shape mismatch HOT 1
- Have you ever tried deformable conv on classification network? HOT 2
- Serious problems occurred when training cls network with dcn HOT 2
- Problem about the code. HOT 5
- Use by pycaffe
- 有两个bug
- Does anyone solve the problem of over large offset?
- Shape of bottom[1]
- Can you provide one train.prototxt with deformable ROI pooling?
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from deformable-convnets-caffe.