Background Blur using Adversarial Networks

How to Use;

Set the training_param in config.yaml to set all the traning related params of models
Also mention the model to be used in config.yaml
Download the Dataset from the Goole Drive link given in the data.txt and store it in Deep-Blur directory.

Name	Name	Last commit message	Last commit date
Latest commit dishank-b removing 3rdparty pix2pix Aug 16, 2018 1743ba7 · Aug 16, 2018 History 24 Commits
FCRN-DepthPrediction	FCRN-DepthPrediction	all models included	Apr 7, 2018
crfrnn/crfasrnn_keras	crfrnn/crfasrnn_keras	all models included	Apr 7, 2018
utils	utils	removing 3rdparty pix2pix	Aug 16, 2018
.gitignore	.gitignore	adding patch gan	Feb 3, 2018
README.md	README.md	endor, gen and config file added	Dec 24, 2017
config.yaml	config.yaml	config yaml with training	Mar 4, 2018
data.txt	data.txt	Data link added	Dec 24, 2017
main.py	main.py	config yaml with training	Mar 4, 2018
models.py	models.py	Training ready	Mar 2, 2018
ops.py	ops.py	Training ready	Mar 2, 2018
references.txt	references.txt	Code base Arch Change	Oct 28, 2017
requirements.txt	requirements.txt	Adding basic overview	Oct 8, 2017
utils.py	utils.py	Code base Arch Change	Oct 28, 2017

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