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kaggle_rsna

Requirements

How to

Solution is under heavy development and baseline not working yet. Use at your own risk and expect waste of time.

1. Preprocess data

Test data

python convert_data_tf_format.py --input_images_path rsna_data/stage_1_test_images --input_labeling_path rsna_data/stage_1_test_images.csv --output_path rsna_data_preprocessed/stage_1_test_images.1.tfrecord --threads 7

Train data

python convert_data_tf_format.py --input_images_path rsna_data/stage_1_train_images --input_labeling_path rsna_data/stage_1_train_labels.csv --output_path rsna_data_preprocessed/stage_1_train_images.tfrecord --threads 7

2. Make train/eval split

python split_train_eval.py --input_tf_record rsna_data_preprocessed/stage_1_train_images.tfrecord --input_labeling_path rsna_data/stage_1_train_labels.csv --input_detailed_info rsna_data/stage_1_detailed_class_info.csv --output_prefix rsna_data_preprocessed/stage_1_train_images

3. Train baseline

Run as follows:

python ${TENSORFLOW_MODELS_REPO}/research/object_detection/model_main.py --alsologtostderr --pipeline_config_path models/baseline_model/ssd_mobilenet_v1_focal_loss.config --model_dir models/baseline_model

where