This is the main project page describing my work to develop and document an open source workflow for drone mapping and object counting using WebODM/OpenDroneMap, QGIS with Deepness plugin, DotDotGoose, and YOLOv7. This project is being conducted during the Winter of 2023/2024.
Links: Project Overview | Research Notes | Workflow Document
Purpose
Create a repeatable recipe that a semi-technical audience can use for setting up their own internal tooling without commercial vendor dependencies.
Schedule
| Period | Tasks | Notes |
| November 2023 (3 weeks) | * Object detection tool research and testing | |
| December 2023 (2 weeks) | * Prototype workflow setup and testing * Automobile and bird detection | |
| January 2024 (3 weeks) | * Workflow documentation development * Testing with additional object type detection * Custom model training and testing * Workflow refinement | |
| February 2024 (4 weeks) | * Draft release target: Feb 10, 2024 * Final refinements * Promotion |
Current Working Tools
- WebODM (for aerial photo processing to orthophoto)
- QGIS (for orthophoto visualization)
- QGIS Deepness Plugin (for object detection)
- DotDotGoose (for training set development)