DFCRN-for-Image-Dehazing

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Dear, Recently I have read your project, and I feel instersted in it, i try to run your project, and see the performance of the model. And during this process, i have faced some problem, that is I could not find how the model "dfcrn_iter_75000.caffemodel" train, and how can i write the codes about the training function of this model"dfcrn_iter_75000.caffemodel"? And i have found the configure parameters file, like "dfcrn_template.prototxt", and how could I understand and make my own configuration file? Thank you for your answer, and i am looking forward to your reply.

Dear, Recently I have read your project, and I feel instersted in it, i try to run your project, and see the performance of the model. And during this process, i have faced some problem, that is I could not find how the model "dfcrn_iter_75000.caffemodel" train, and how can i write the codes about the training function of this model"dfcrn_iter_75000.caffemodel"? And i have found the configure parameters file, like "dfcrn_template.prototxt", and how could I understand and make my own configuration file? Thank you for your answer, and i am looking forward to your reply.

Thank you for your attention. This project used the caffe framework, you could change the framework to PyTorch or TensorFlow. The DFCRN architecture is simple, dfcrn_template.prototxt defines the network (such as layer). If you could not understand how caffe define model, please refer to caffe official link or other tutorials.

Hope this could help you.