miraclewkf / dpn

Dual Path Networks

This is the MxNet implement of the TRAIN of DPN(dual path networks).

paper: Dual Path Networks

You can git clone this project and do as follows:

• Download pretrained model from https://github.com/cypw/DPNs and put the pretrained model under DPN/model/ file.

• I produce two ways of image data reading:

If you want to use .rec file to train your model:

• Change some configuration in run_train_rec.sh, for example: --epoch and --model are corresponding to the pretrained model, --data-train is your train .rec file, --save-result is the train result you want to save, --num-examples is the number of your training data, --save-name is the name of final model.
• Run

sh run_train_rec.sh

If you want to use .lst file and image to train your model:

• Change some configuration in run_train_lst.sh, for example: --epoch and --model are corresponding to the pretrained model, --data-train is your train .lst file, --image-train is your train image file, --save-result is the train result you want to save, --num-examples is the number of your training data, --save-name is the name of final model.
• Run

sh run_train_lst.sh

dpn's Issues

Would you mind I adapte your DPN code to Mxnet?

Dear miraclewkf, I am interested in deeping learning and try my best to reproduce result of article, would you mind I adapte your code to https://github.com/apache/incubator-mxnet/tree/master/example/image-classification/symbols here or https://github.com/apache/incubator-mxnet/tree/master/example/image-classification/symbols, I will change all your code to a file and fits it to mxnet, then reproduce the results of the article, if result is OK, then I will push it to MXNET.

How to test?

Hi,
How to test my own dataset? Do you have the test script?
Thank you for your help.