Comments (5)
Should be
this->conv_in_channels_,this->conv_input_shape_.cpu_data()[1],this->conv_input_shape_.cpu_data()[2],this->col_buffer_.count(0),
?from deformable-convnets-caffe.
Hi, @unsky, there may be some bugs in your code. Could you spend a few minutes to check that #31 (comment). Thank you.
from deformable-convnets-caffe.
Should be
bottom_diff+ n*this->bottom_dim_
?from deformable-convnets-caffe.
时间过去太久了,有些细节可能有些问题,可能没考虑更多的边界问题,但细节忘光了,工作比较忙,你可以尝试自己做实验,看看在实验上的效果,如果有兴趣可以帮我提个pr,感谢。我目前对这份代码只能保证这份code可以跑出readme上的效果。
from deformable-convnets-caffe.
@unsky 谢谢您的回复。
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
- matcaffe error HOT 7
- 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
- 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.