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1.文件目录

  • test_onnx.py:预测的py文件

  • img:分类的原始图片

  • model: onnx模型

2.安装的库

  • import numpy as np
  • import onnxruntime as rt
  • from PIL import Image
  • from PIL import ImageDraw, ImageFont
  • import colorsys

3.使用说明

模型文件链接:

4.检测结果

  • DETR模型介绍 197868a96aa54988a7e29bdfa9cff99b

output

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DETR-ONNX模型检测

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