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Submission reproducing exactly the prediction result. Requrements: Linux with GTX1080ti cards, CUDA and related libraries installed of version 8 Python 3.5 used with requirements listed in src/requirements.txt ffmpeg application for building labeling helper application, Qt5-dev packages necessary with dependencies (g++, etc) Directory structure: input input dataset src sources directory output outputs, checkpoints, resulting submission datasets for extra labels: input/train_videos/img/00WK7DR6FyPZ5u3A/masks ruler masks output/ruler_crops_batch_labeled extra labels for "no fish", "fish clear", "fish covered" categories fish_select2: application for labeling masks Preparing input data: it's necessary to extract train and test videos to train_videos and test_videos directories and run convert_all.sh from each directory to extract jpeg frames cd input/train_videos bash ../convert_all.sh cd ../test_videos bash ../convert_all.sh Reproducibg the submission: cd src bash predict.sh