# MXNet2Caffe_2

**Repository Path**: luo_zhi_cheng/MXNet2Caffe_2

## Basic Information

- **Project Name**: MXNet2Caffe_2
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-03
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MXNet2Caffe: Convert MXNet model to Caffe model

You are welcome to file issues either for bugs in the source code, feature requests!


## Brief Guide

Given a MXNet Model, MXNet2Caffe can automatically generate both `.prototxt` and `.caffemodel`.

Before starting using MXNet2Caffe, you need to manually set the path in `find_caffe.py` and `find_mxnet.py`.

After that, simply run `python json2prototxt.py` to generate the corresponding `.prototxt`.

And then, using `python mxnet2caffe.py` to generate the corresponding `.caffemodel`.


## TODO

[1] Since their is not `Flaten` layer in caffe, you have to manually moidify the automatically generated `.prototxt`. In other words, you have to change the `bottom` of the layer just after the `Falatten` layer making it linking to the layer before the `Falatten` layer. Currently, this part has to be done manually.

[2] The converted model performances a little bit worse than the original MXNet model.

[3] Code for automatically reversing the weight (and bias) of the first layer to support BGR input.

[4] Better support for caffe's in-place feature.

[5] Several TODOs in `prototxt_basic.py`