Creating an object detector using YOLOv5 that integrates with ROS

 

Object detection is an essential vision component for robots. This tutorial will cover how to create an object detection pipeline using YOLOv5 that integrates with ROS.

##

Mermaid + Charts Support

Example of Mermaid diagrams

graph TB;
    A[Do you have a problem in your life?]
    B[Then don't worry]
    C[Can you do something about it?]
    A--no-->B;
    A--yes-->C;
    C--no-->B;
    C--yes-->B;

Chart.js Support

{
  "type": "line",
  "data": {
    "labels": [
      "January",
      "February",
      "March",
      "April",
      "May",
      "June",
      "July"
    ],
    "datasets": [
      {
        "label": "# of bugs",
        "fill": false,
        "lineTension": 0.1,
        "backgroundColor": "rgba(75,192,192,0.4)",
        "borderColor": "rgba(75,192,192,1)",
        "borderCapStyle": "butt",
        "borderDash": [],
        "borderDashOffset": 0,
        "borderJoinStyle": "miter",
        "pointBorderColor": "rgba(75,192,192,1)",
        "pointBackgroundColor": "#fff",
        "pointBorderWidth": 1,
        "pointHoverRadius": 5,
        "pointHoverBackgroundColor": "rgba(75,192,192,1)",
        "pointHoverBorderColor": "rgba(220,220,220,1)",
        "pointHoverBorderWidth": 2,
        "pointRadius": 1,
        "pointHitRadius": 10,
        "data": [
          65,
          59,
          80,
          81,
          56,
          55,
          40
        ],
        "spanGaps": false
      }
    ]
  },
  "options": {}
}

Images

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Summary

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See Also:

  • Links to relevant articles

References