KAGGLE_CERVICAL_CANCER_2017

9th place solution

How to run:

cd ./KAGGLE_CERVICAL_CANCER_2017
python a70_full_dataflow_for_second_stage.py
To generate submit vesrion 2. Change variable SUBMISSION_VERSION to 0. And rerun

Python 3.4, Theano 0.9.2, Keras 1.2.2

To use this code you need to put initital weights (pretrained on ImageNET) in "../weights/" folder. Download link (~1.5 GB): https://mega.nz/#!zMYjXLBD!AP5MoVHvIk_5GyhQ1ls-IrGp78aeYXDSdhuPwmV4q6E

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.github		.github
README.md		README.md
a00_common_functions.py		a00_common_functions.py
a00_custom_layers.py		a00_custom_layers.py
a01_densenet_121.py		a01_densenet_121.py
a01_densenet_161.py		a01_densenet_161.py
a01_squeezenet.py		a01_squeezenet.py
a02_zf_unet_model.py		a02_zf_unet_model.py
a02_zoo.py		a02_zoo.py
a03_augmentation.py		a03_augmentation.py
a21_create_train_test_based_on_rectangles_from_kaggle_for_unet.py		a21_create_train_test_based_on_rectangles_from_kaggle_for_unet.py
a22_generate_images_from_rectangles.py		a22_generate_images_from_rectangles.py
a22_generate_train_data_for_unet.py		a22_generate_train_data_for_unet.py
a25_unet_training_v1_on_my_segmentation.py		a25_unet_training_v1_on_my_segmentation.py
a25_unet_training_v2_on_boxes.py		a25_unet_training_v2_on_boxes.py
a26_merge_rectangles_and_reduce_images.py		a26_merge_rectangles_and_reduce_images.py
a30_pretrained_nets_pipeline_with_additional_data.py		a30_pretrained_nets_pipeline_with_additional_data.py
a40_run_xgboost_blender.py		a40_run_xgboost_blender.py
a50_subm_merge.py		a50_subm_merge.py
a70_full_dataflow_for_second_stage.py		a70_full_dataflow_for_second_stage.py