Comments (10)
抱歉,整理代码一时仓促连错了,我会更新readme解释group
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@unsky 嗯!感谢~
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更新了deformable group,加入了尺寸检测代码。连接不对会报错。
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今天用你的代码,发现在caffe.proto中的定义的是group,但是在lenet_train_test.prototxt中写deformable_convolution_param时,用的确是defomable_group.
应该是一个疏忽.
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@unsky 在deformable_conv_layer.cu的25行,调用deformable_im2col_gpu函数的时候传了两个参数bottom[0]->shape(1)和bottom[0]->shape(0),但是deformable_im2col_gpu中该位置需要传入的是height和width
另外deforamable_im2col.cu 212行int channel_per_deformable_group = height / deformable_group这里应该是channels/deformable_group吧
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@zhanglonghao1992 感谢你的指出,我在前面的测试中也发现了这个错误,这个错误是个很严重的错误,最新上传已经修正,这错误也会导致在一些情况下gpu指针崩溃。感谢。
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@unsky 嗯没事的~
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@unsky 没见到最新上传啊。。
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@zhanglonghao1992 更新了,忙毕业忘了
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@unsky haha 好吧
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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
- 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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