wenxuanlu / container_detection

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ObjectDetection_program

whu cs 2023 summer semester project

  1. We have developed a simple system for detecting the number of port containers and verification code using YOLOv6.
  2. We used PySide to implement frontend and clustering algorithm to divide letters and numbers.
  3. This is only final work for summer training in school of computer Wuhan University, and it is not used for any business situation.
  4. The frame YOLOv6 is forked from Meituan, and the dataset I used is provided by wuhan fannuo software company. Please send me an email to get the dataset if you are interested.

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Solved:

The results are displayed repeatedly overlaid when the detection button is clicked.

The original image shows up again when the detection button is clicked.

The detected container numbers are displayed in the wrong sequence. Reason: the clustering algorithm's clustering criterion has been changed to the vertical coordinate."

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License:GNU General Public License v3.0


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