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ksnzh avatar ksnzh commented on July 21, 2024

deformable_conv_cxx/deformable_conv_layer.cpp missing 'REGISTER_LAYER_CLASS(DeformableConvolution);'

And it will throw error like bellow:

I1214 00:23:24.195385  5149 layer_factory.hpp:77] Creating layer dec
F1214 00:23:24.195410  5149 layer_factory.hpp:81] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: DeformableConvolution (known types: AbsVal, Accuracy, ArgMax, Axpy, BNLL, BatchNorm, BatchReindex, Bias, BoxAnnotatorOHEM, Concat, ContrastiveLoss, Convolution, ConvolutionDepthwise, Crop, Data, Deconvolution, DeformablePSROIPooling, DenseCRF, DepthwiseConvolution, Dropout, DummyData, ELU, Eltwise, Embed, EuclideanLoss, Exp, Filter, Flatten, FocalLoss, FrcnnAnchorTarget, FrcnnProposal, FrcnnProposalTarget, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, ImageSegData, InfogainLoss, InnerProduct, InnerProductBlob, Input, Interp, LRN, LSTM, LSTMUnit, LargeMarginInnerProduct, Log, MVN, MarginInnerProduct, MaskPooling, MaskResize, MemoryData, MultinomialLogisticLoss, PReLU, PSROIPooling, Parameter, Pooling, Power, Python, RNN, ROIAlign, ROIMaskPooling, ROIPooling, ROIWarping, ReLU, Reduction, Reshape, SPP, Scale, SeLu, SeLuDropout, SegAccuracy, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, SmoothL1Loss, SmoothL1LossOHEM, Softmax, SoftmaxWithLoss, SoftmaxWithLossOHEM, Split, TanH, Threshold, Tile, WindowData)

from deformable-convnets-caffe.

unsky avatar unsky commented on July 21, 2024

@ksnzh use new codes

from deformable-convnets-caffe.

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