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YOLOV7
Real-time YOLO detector with trainable bag-of-freebies
GPL-3.0
ABOUT
Real-time detection often trades accuracy for speed at inference. YOLOv7 trains architectural freebies that raise COCO accuracy without extra latency so teams ship a single-stage detector that stays fast on GPU.
INTEGRATION GUIDE
1. Train YOLOv7 detectors on custom object datasets
2. Run real-time detection on GPU cameras and video streams
3. Compare bag-of-freebies training against earlier YOLO versions
4. Export trained weights for production vision pipelines
TAGS
pythoncomputer-visionobject-detectionyolorealtimepytorch