Salience Object Detection
Salience Object Detection Using python + tensorflow This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections".
Cuz i trained this model on my company's data,so to be honest i dont know this model still reach the performance mentioned in paper or not.
Project info
This code can be used to train, but the data is owned by my company.I'll try my best to provide code and model that can do inference.
My Chinese blog about the implementation of this paper http://blog.csdn.net/gbyy42299/article/details/79427457
Training on your own dataset
I trained this model on gpu Tesla P100(1200 images, 10h)
1.Just put ur data under the folder named 'dataset'.
2.run csv_generater.py to get the csv files for ur training.
3.run train.py for training ur own model.
4.run test.py for testing new photo.
Tensorboard info
