算法部署-使用NCNN部署MXnet-Unet图像分割算法-优质算法部署项目实战.zip

# unet_mxnet2ncnn Train mxnet unet and run it on ncnn. How to use: 1. Get dataset and put it in the some directory. Adjust files under mxnet-unet/data based on dataset location. 2. cd mxnet-unet; python3 trainunet.py 3. Get inference model by running: python3 train2infer.py 4. Use ncnn tool 'mxnet-ncnn' to get ncnn model Need to patch tools/mxnet/mxnet2ncnn.cpp for ncnn. Set num_group to 1 in if for "Deconvolution" op. But I think it will fix also if designate it in mxnet network. 5. Run ncnn-unet. Install OpenCV first. cd ncnn-unet Edit CMakefiles to fit your enviroment. mkdir build cmake ..; make ./unet your_jpg_file