Workflow Automation of Tree Detection Visualization Comparison

-by DeepForest Model

1. Introduction

This project aims to...

2. Tech tags

Python

Jupyter Notebook

Jave Script

PostgresSQL

HTML

Geopandas

Leaflet

Geojson

QGIS

Deep Learing Model

Workflow Automation

3. Project Folder

• data
  • TreeAOIWGS84.tif
• Output
  • run1_predictions.geojson
  • run2_predictions.geojson
  • run1_predictions.csv
  • run2_predictions.cvs
  • settings.csv
  • ComparisonReport.pdf
• run_tile.py
• settingGUI.py
• ObjectDetectVisualComp.ipynb
• ComparisonWebpage.html

4. Results

Settings.csv (Relational Table)

	patch_size	patch_overlap	score_threshold	iou_threshold	batch_size	file_name
Run 1	1200	0.25	0.2	0.15	4	run1_predictions
Run 2	800	0.25	0.4	0.15	4	run2_predictions

Geojson file attribute Table

xmin	ymin	xmax	ymax	label	score	image_path	geometry
4733	1802	4799	1876	Tree	0.560285925865173	TreeAOIWGS84.tif	POLYGON ((4799 1802, 4799 1876, 4733 1876, 4733 1802, 4799 1802))
4532	2385	4775	2608	Tree	0.53722459077835	TreeAOIWGS84.tif	POLYGON ((4775 2385, 4775 2608, 4532 2608, 4532 2385, 4775 2385))