gwetherholt/croptrackingsystem

How gwetherholt/croptrackingsystem works

Crop Tracking is a command-line C++ application that turns frame detections in JSON into persistent object tracks, a tracking-results JSON file, and per-frame plus summary visualizations. The main workflow parses each frame, calls the tracker, and writes both outputs; tracking uses IoU and spatial-proximity matching, retaining IDs across brief detection gaps. A separate Python utility checks ID consistency in generated results. Relationships follow the sampled source and README; no unsampled implementation details are assumed.

Main entry points: main.cpp Frame processor · check_ids.py ID consistency check · tracking_output.json Tracking JSON · input_data.json Detection JSON

Components 8

Command-line runtime

Frame processor src/main.cpp
Detection JSON data/input/input_data.json

Object tracking

Track matching src/tracker.cpp
Image rendering src/tracker.cpp

Results and validation

Tracking JSON data/output/input_data/tracking_output.json
Frame and summary PNGs data/output/input_data/visualization
ID consistency check tools/check_ids.py

Other components

CLI user

Connections 8

CLI user → Frame processor: runs README.md
Frame processor → Detection JSON: reads src/main.cpp
Frame processor → Track matching: updates tracks src/main.cpp
Frame processor → Image rendering: renders frames src/main.cpp
Frame processor → Tracking JSON: writes results src/main.cpp
Frame processor → Frame and summary PNGs: writes images src/main.cpp
CLI user → ID consistency check: runs check README.md
ID consistency check → Tracking JSON: checks IDs README.md

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Drawn by GitDiagram on September 30, 2026 from the repository's file tree, README and source files. Read as Markdown ·