RMI 360 Imaging Workflow Documentation

Version Python Version ArcGIS Pro Version

A modular workflow built with ArcGIS Python Toolbox for processing and deploying 360° corridor imagery.

Optimized for Mosaic 51 cameras, with planned support for Insta360. Includes tools for enhancement, OID creation, AWS publishing, and detailed reporting.

Warning

ArcGIS Pro Note: When adding the Toolbox to ArcGIS Pro, you may see a warning icon (❗) upon loading. If this occurs, simply remove the Toolbox and add it again to resolve the issue.

Note

The “Oriented Imagery” tools require Standard or Advanced licenses. All other functions are available with Basic or higher.

Warning

Version v1.1.0 contained critical bugs that may render the workflow unusable. Please use version v1.1.1 or later, which resolves these issues.

Overview

The RMI 360 Imaging Workflow provides comprehensive tools for:

  • 🎞️ Processing captured imagery using Mosaic Processor (with support for MistikaVR or MosaicStitcher)

  • 🧭 ArcGIS Oriented Imagery Dataset (OID) creation and enrichment

  • 🏷️ EXIF metadata tagging

  • 🛣️ Linear referencing support for image positioning

  • 🧩 Custom attributing based on config-driven logic

  • 🌍 Geocoding of image locations using spatial reference datasets

  • 🗂️ File renaming and organization

  • ☁️ AWS S3 upload with resumable transfer logic

  • 📈 Lambda-based progress monitoring and status dashboard

  • 📊 HTML & JSON reporting of process steps and status

  • 🖼️ Experimental: Image enhancement (contrast, white balance, sharpening)

Key Features

Feature

Description

Toolbox Structure

Built as an ArcGIS .pyt Toolbox + modular tool wrappers & utilities

Config-Driven

YAML-based config with expression resolution and field registries

AWS Integration

Upload to S3 with TransferManager + Lambda schedule tracking

Resumable Transfers

Upload interruption protection + log recovery

HTML & JSON Reporting

Auto-generated step summaries and final status reports

Image Metadata Support

Auto tag EXIF metadata + rename by GPS, time, reel, frame, etc.

Quick Start

  1. Clone the Repository

    git clone https://github.com/camrex/rmi-360-workflow-pyt.git
    cd rmi-360-workflow-pyt
    
  2. Setup Configuration

    # Copy and edit config
    cp configs/config.sample.yaml configs/config.yaml
    
  3. ArcGIS Pro Setup

    • Open ArcGIS Pro and load a project (.aprx)

    • Add the environment checker toolbox: rmi_360_env_checker.pyt

    • Run the Check Required Python Packages tool

    • Add the main toolbox: rmi_360_workflow.pyt

Table of Contents

Indices and Tables