Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation

This repository contains Keras/Tensorflow code for the "CRF-RNN" semantic image segmentation method, implemented in TensorFlow Keras by https://github.com/sadeepj/crfasrnn_keras

Train: $ python train_gby.py -m fcn_RESNET50_8s -ds streets -e 1 -bs 32 -vb 1 -is 224

Eval/Test: $ python eval_gby.py -ds horsecoarse -w /storage/gby/semseg/horsecoarse_weights_fcn_RESNET50_8s_100ep

Name		Name	Last commit message	Last commit date
Latest commit History 132 Commits
deepLabV2		deepLabV2
exps		exps
lst		lst
openmind		openmind
src		src
LICENSE		LICENSE
README.md		README.md
attachment_potential_example_cfmata.py		attachment_potential_example_cfmata.py
containment_potential_example_cfmata.py		containment_potential_example_cfmata.py
containment_potential_example_gby.py		containment_potential_example_gby.py
datasets_gby.py		datasets_gby.py
eval_gby.py		eval_gby.py
generate_sp.py		generate_sp.py
generate_sp_and_boundaries.py		generate_sp_and_boundaries.py
models_cfmata.py		models_cfmata.py
models_gby.py		models_gby.py
predict_gby.py		predict_gby.py
requirements.txt		requirements.txt
requirements_gby.txt		requirements_gby.txt
requirements_gpu.txt		requirements_gpu.txt
run_demo.py		run_demo.py
script_gby.sh		script_gby.sh
superpixel_potential_example2_gby.py		superpixel_potential_example2_gby.py
superpixel_potential_example_cfmata.py		superpixel_potential_example_cfmata.py
superpixel_potential_example_gby.py		superpixel_potential_example_gby.py
train_cfmata.py		train_cfmata.py
train_gby.py		train_gby.py
train_horsecowfine_tf.py		train_horsecowfine_tf.py
useful_repos_semseg.txt		useful_repos_semseg.txt
utils_cfmata.py		utils_cfmata.py
utils_gby.py		utils_gby.py

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yolanda1993/densecrf_rnn

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Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation

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