YonghaoHe/LFD-A-Light-and-Fast-Detector
A lightweight one-stage anchor-free object detector implemented in PyTorch for real-world applications.
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LFD is a multi-class object detection system that succeeds the LFFD face detector. It implements a one-stage anchor-free detection architecture optimized for low latency inference on edge devices. The project supports TensorRT and INT8 quantization for inference acceleration, is trained using PyTorch, and includes utilities for timing and performance benchmarking. The detector targets real-world industrial applications where model size and inference speed are critical constraints.
Frequently asked
- What is YonghaoHe/LFD-A-Light-and-Fast-Detector?
- A lightweight one-stage anchor-free object detector implemented in PyTorch for real-world applications.
- Is LFD-A-Light-and-Fast-Detector open source?
- Yes — YonghaoHe/LFD-A-Light-and-Fast-Detector is an open-source project tracked on heatdrop.
- What language is LFD-A-Light-and-Fast-Detector written in?
- YonghaoHe/LFD-A-Light-and-Fast-Detector is primarily written in Python.
- How popular is LFD-A-Light-and-Fast-Detector?
- YonghaoHe/LFD-A-Light-and-Fast-Detector has 414 stars on GitHub.
- Where can I find LFD-A-Light-and-Fast-Detector?
- YonghaoHe/LFD-A-Light-and-Fast-Detector is on GitHub at https://github.com/YonghaoHe/LFD-A-Light-and-Fast-Detector.