PyTorchYOLOOpenCVComputer Vision
Computer Vision — Object Detection
Real-time object detection and classification using deep learning and OpenCV.
A real-time object detection system for video streams and images. Uses a YOLO-based model trained on custom datasets, with OpenCV for preprocessing and inference optimization.
Model & training
Fine-tuned a YOLO architecture on domain-specific data. Training pipeline includes augmentation, anchor tuning, and validation on held-out video sequences for temporal consistency.
Deployment
Model is exported to ONNX for fast inference and integrated with OpenCV for capture and display. Runs in real time on GPU with optional TensorRT optimization for edge devices.
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