DepthwiseConvolution
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yonghenglh6
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
when I make cope the depthConv_layer to the caffe root, when I make caffe, always the crt1.o happen, the key error is display as below: /usr/lib/gcc/x86_64-linux-gnu/5/../../../x86_64-linux-gnu/crt1.o: In function `_start': (.text+0x20):...
In your code comment ,it says only for stride 1. But in other issue you said it is for all stride. I checked the code , it is only for...
Hi: Thanks for the effort in writing customized DepthwiseConvolution layers. I have successfully merge them with my caffe. Using my TitanX(Maxwell), I got 20ms for a 224*224 image inference with...
@yonghenglh6 Thanks for your good work! I trained caffe model by using your DepthwiseCovolution layer as following your suggestion, while it works when I train the model, I met some...
Dear Editor: Which version of caffe have you used? How to add your code to caffe source?
I found "group" parameter in your deploy.prototxt and should I use this during the training process or keep it ? How about the accuracy you got ? I trained model...
NCSDK v2.05 u16@u16-System-Product-Name:~/work/realtime-object-detection$ mvNCCompile models/MobileNetSSD_deploy.prototxt -w models/MobileNetSSD_deploy.caffemodel -s 12 -is 300 300 -o graphs/mobilenetgraph /usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:45: SyntaxWarning: assertion is always true, perhaps remove parentheses? assert(False, "Layer type not supported by Convolution:...
When make,it turns out: src/caffe/layers/depthwise_conv_layer.cpp:31:46: error: ‘class caffe::DepthwiseConvolutionLayer’ has no member named ‘bottom_dim_’ this->forward_cpu_gemm(bottom_data + n * this->bottom_dim_, weight, ^ src/caffe/layers/depthwise_conv_layer.cpp:32:24: error: ‘class caffe::DepthwiseConvolutionLayer’ has no member named ‘top_dim_’ top_data...
You maybe only have implemented the layer for CUDA, but the implementation of CPU is still only the original "Caffe's conv+group"? The same issue is here: [https://github.com/Zehaos/MobileNet/issues/22](url) I wonder if...
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A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)