kiti481/Truck_logo_Design_Measurements
🚛 Detect trucks, classify types, and measure dimensions in images with this intuitive computer vision system using YOLOv8 and OpenCV.
What's novel
🚛 Detect trucks, classify types, and measure dimensions in images with this intuitive computer vision system using YOLOv8 and OpenCV.
Code Analysis
12 files read · 3 roundsDetects trucks in images using YOLOv8, assigns a truck type based on hardcoded pixel-size thresholds, and computes a trivially circular 'measurement' by dividing pixel dimensions by the nominal height it just assigned.
Strengths
Clean separation into detector/classifier/measurement/visualizer modules with a working CLI and Streamlit app. Tests cover the classifier and measurement logic with reasonable edge cases.
Weaknesses
The core 'measurement' is circular (it measures the truck using the truck's own assumed height), the classifier uses resolution-dependent pixel thresholds that won't generalize, and the example file references classes and methods that don't exist in the codebase.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
12
Contributors
2
Files
36
Active weeks
3
Repository
Language
Python
Stars
1
Forks
1
License
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