ESIP Reporting for GSoC 2019

This page is the location for the reporting related to the 2019 GSoC project titled OrcaCNN: Detecting and Classifying Killer Whales from Acoustic Data

Student: Abhishek Singh Mentor:Jesse Lopez ESIP POC: Annie Bryant Burgess

Community Bonding Period (May 6th - May 27th):

Activity:

• Established a communication protocol with Jesse
• Being very active since the beginning of the project, I have a fair idea of the requirements and the vision of the project. I've communicated the same to Jesse.
• We've decided to keep a consistent code style throughout and to use CoLab for pre-processing and further training.
• To keep complexity at a minimum and to aid in further template matching process, we decided to pre-process audio files into images as of now.
• With the help of the pre-processing steps mentioned and coded out, we will be proceeding the same way.
• Once we get the data within a few days, I will be standardizing and visualizing the samples

Next Week's Agenda:

• Standardize and Visualize

May 28 - June 10:

Activity:

• Currently, the data is being uploaded into Google Cloud from the drives Jesse received from Dan.
• For starters, a pre-processing script has been written with details on the PR and some changes were made to fit into standards (#10, #11).
• We are looking to label the incoming data in cloud and to load them efficiently into colab, where further development of the model would take place.