yolov5-fire-detection and yolov5-fire-smoke-detect

These are ecosystem siblings—one provides the PyTorch-based YOLOv5/YOLOv9 model training framework, while the other implements the same detection task in C++ for production deployment and inference optimization.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Stars: 326
Forks: 74
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 32
Forks: 8
Downloads:
Commits (30d): 0
Language: C++
License: GPL-3.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About yolov5-fire-detection

spacewalk01/yolov5-fire-detection

Training YOLOv5/YOLOv9 to detect fire in a video

This tool helps automate the detection of fire or flames within video footage by drawing a box around identified fire hazards. It takes a video file as input and outputs a video with highlighted fire locations. This is designed for safety and security professionals, or anyone who needs to monitor areas for fire.

fire-safety surveillance hazard-detection security-monitoring emergency-response

About yolov5-fire-smoke-detect

RichardoMrMu/yolov5-fire-smoke-detect

This is a c++ implement of yolov5 and fire/smoke detect.

This tool helps operations and safety managers monitor live video feeds for signs of fire or smoke. It takes in video streams from cameras and outputs alerts or visual indicators when it detects fire or smoke, providing an early warning system. This is intended for professionals responsible for surveillance and immediate threat detection in environments like forests, factories, or large facilities.

fire-safety smoke-detection real-time-monitoring surveillance environmental-protection

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