Patch Based Semantic Segmention Project Template

this segmention project template is rooted in my daily experimental code(you can find them in my repo)

Project Struct

configs

json file: parameter table of this project

utils: some auxiliary functions

experiments

data_loaders: to generate hdf5 datasets

experiments folder is also the palce to store datasets/experiment log/network checkpoints etc.

perception

base: store template class of data_loader trainer infer model

model: store the definition of semantic segmention model

infer: how to predict

trainer: the way to train your model

main_trainer

starter of model training.First time you run the code,it will generate folder under experiments folder.This folder is where you store your dataset and find log,model definition

main_test

run this file to predict on experiments/(test_name)/test/origin/ data.

Set up Environment

make sure your PC/Server has:

• python 3.5+
• tensorflow 1.4+
• keras 2.1.1+
• opencv_python 3.0+
• bund 1.2+

highly recommend installing anaconda to get python environment!