deepsea-ai 1.0.0

DeepSeaAI is a Python package to simplify processing deep sea video in AWS from a command line.

DeepSea-AI is a Python package to simplify processing deep sea video in AWS from a command line.

It includes reasonable defaults that have been optimized for deep sea video. The goal is to simplify running these algorithms in AWS.

DeepSea-AI currently supports:

• Training YOLOv5 object detection models
• Running YOLOv5 detection and tracking pipelines on video using either:
  • DeepSort
  • StrongSort

Authors: Danelle Cline, [e-mail], Duane Edgington, [e-mail]

For details on AWS installation, see docs.mbari.org/deepsea-ai/install

Assuming you have completed the AWS installation, install and update using pip:

$ pip install -U deepsea-ai

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Commands

• deepsea-ai train --help - Train a YOLOv5 model and save the model to a bucket
• deepsea-ai process --help - Process one or more videos and save the results to a bucket
• deepsea-ai ecsprocess --help - Process one or more videos using the Elastic Container Service and save the results to a bucket
• deepsea-ai split --help - Split your training data; required before the train command.
• deepsea-ai -h - Print help message and exit.