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YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance.

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Gaurav14cs17/YOLOV6

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ONNX YOLOv6 Object Detection

!YOLOv6 Model

16 FPS on cpu INTEL i7

!YOLOv6 detection video

Important

Requirements

  • Check the requirements.txt file.
  • For ONNX, if you have a NVIDIA GPU, then install the onnxruntime-gpu, otherwise use the onnxruntime library.
  • Additionally, pafy and youtube-dl are required for youtube video inference.

ONNX Runtime

For Nvidia GPU computers: pip install onnxruntime-gpu

Otherwise: pip install onnxruntime

Pytorch model

The original Pytorch model can be found in this repository: YOLOv6 Repository

Examples

  • Image inference:
python image_object_detection.py
  • Webcam inference:
python webcam_object_detection.py

References:

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YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance.

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