Open shaziagul-rgb opened 3 years ago
Awesome, thanks very much for this prompt and stepwise clear explanation for Rugby input requirement. One more question, Can you please explain how these trained .mat files are generated as there isn't any code provided for training from scratch.
Looking forward for your response. Thank you once more.
Sure, but it is not clear to me which .mat file you refer to. Do you mean some .mat files in https://github.com/lood339/SCCvSD/tree/master/data? There is a readme file for the data https://github.com/lood339/SCCvSD/blob/master/data/read_me.py
There are two train steps in the pipeline. The first one is to train a network to detect lines/circles from image. The input is an image. The output is an edge image. Details are in https://github.com/lood339/pytorch-two-GAN. The second one is to train a siamese network. The input is an edge image. The output is a deep feature. The purpose is to reduce the dimension of edge image. Details are in https://github.com/lood339/SCCvSD/tree/master/python/deep
Thanks for interested in our work. For the Rugby dataset, you have to prepare following data.
With these data, we can start the training process.