The goal of this project is to detect fish in the given optical footage from the Yellowfin Expt. If detection is successful, the detected fish could then be matched with their image in the Sonar Footage of the same scene.
Fish Detection on the Yellowfin Expt Optical Footage
The goal of this project is to detect fish in the given optical footage from the Yellowfin Expt. If detection is successful, the detected fish could then be matched with their image in the Sonar Footage of the same scene.
The file fish_detection.ipynb is a python note book that goes through the process of utilizing the models developed in the paper to perform fish detection on a data set derived from the video input.mp4. A section of 500 frames of the video was extracted, annotated, and used to create a YOLO data set (data_sets/raw_data_set).
Other data sets were created from the raw data set using scripts/split_dataset.py
Usage : $ python split_dataset.py [path to original .txt] [train_fraction] [shuffle (Y / N)]