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The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Home Page: https://github.com/ysh329/deep-learning-model-convertor

deep-learning model neural-network convertor model-convertor awesome-list deep-learning-framework tensorflow caffe pytorch mxnet keras torch caffe2

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deep-learning-model-convertor's Issues

add those convertor links

popular item

unpopular item

Wrong position of CoreML converter

All the line CoreML are converter to CoreM not from CoreML.
If I'm right on the table organisation it need to be on the column coreML.
btw thanks for your work.

Convert darknet yolov2 model to caffe

I tried pytorch-caffe-darknet-convert but failed due to lack of reorg layer and issue of concate layer support (of course, I created an issue to ask but no one replied me). Next I think three available solutions below:

  • try to write code supporting reorg layer and fix the issue of concate layer in pytorch-caffe-darknet-convert
  • try to convert darknet-yolov2 to tensorflow first (darkflow gives concrete command about how to translate) such as darkflow and then to caffe next (use MMdnn)
  • try another converter from darknet to caffe, such as gklz1982/caffe-yolov2

test output of darknet2caffe on caffe

I got yolov1 converted on caffe (protxt and caffe.model) usind darknet2caffe tool. How do I test them? Can you suggest detection example using the converted prototxt and caffe.model

Converter caffe to caffe2

Thank you for this very helpful compilation of available converters! I came accross a conversion tool for caffe -> caffe2 that is not included in the table. You might want to add it. See
python script and its description.

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