This repo serves as a landing pad for active areas of development of our Coastal Climate Resilience (CCR) program. Specifically, this repo houses 1-pager .md documents ready for development, and also a hub to communicate via the Issues tab.
| AI/ML to process .GPR photos | Explore AI/ML methods to use raw .GPR input and processed .JPEG outputs to train a model to assist with photo processing, our most rate-limiting step |
| bull_kelp_tracking | Identify a computer vision path forward for detecting and tracking bull kelp stipes |
| ArduSub Localization Fixit | BlueOS extension to diagnose and fix common localization problems |
The following repos contain general information about our work, and specialized repos for ROV telemetry analyses, processing and analyses of ROV-derived benthic abundance and distribution data, and simulating benthic data.
graph TD
A["<a href='https://github.com/Seattle-Aquarium/Coastal_Climate_Resilience' target='_blank' style='font-size: 16px; font-weight: bold;'>Coastal_Climate_Resilience</a><br><font color='darkgray'>the main landing pad for the CCR research program</font>"]
A --> E["<a href='https://github.com/Seattle-Aquarium/CCR_analytical_resources' target='_blank' style='font-size: 16px; font-weight: bold;'>CCR_ROV_telemetry_processing</a><br><font color='darkgray'>analytical tools for working with ROV telemetry data</font>"]
A --> F["<a href='https://github.com/Seattle-Aquarium/CCR_benthic_analyses' target='_blank' style='font-size: 16px; font-weight: bold;'>CCR_benthic_analyses</a><br><font color='darkgray'>code to work with ROV-derived benthic community data</font>"]
A --> G["<a href='https://github.com/Seattle-Aquarium/CCR_benthic_taxa_simulation' target='_blank' style='font-size: 16px; font-weight: bold;'>CCR_benthic_taxa_simulation</a><br><font color='darkgray'>code to simulate ROV-derived benthic community</font>"]
The following repos involve active areas of open-source software development, AI/ML implementation, and computer vision challenges; areas where we could use assistance are 🔶 highlighted in orange 🔶
graph TD
B["<a href='https://github.com/Seattle-Aquarium/CCR_development' target='_blank' style='font-size: 16px; font-weight: bold;'>CCR_development</a><br><font color='darkgray'>main hub for organizing active Issues under development </font>"]
B --> C["<a href='https://github.com/Seattle-Aquarium/CCR_image_processing' target='_blank' style='font-size: 16px; font-weight: bold;'>CCR_image_processing</a><br><font color='darkgray'>help wanted to implement AI/ML solution to expendite image processing</font>"]
B --> D["<a href='https://github.com/Seattle-Aquarium/CCR_kelp_feature_detection' target='_blank' style='font-size: 16px; font-weight: bold;'>CCR_kelp_feature_detection</a><br><font color='darkgray'>active research re: photogrammetry in kelp forests</font>"]
style B stroke:#FF8600,stroke-width:4px
style C stroke:#FF8600,stroke-width:4px