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Evaluation_step (Make sure you have downloaded the data and put them in the correct path)

(In ROOT directory)

  1. Follow the format in Evaluation_Results_Example to output your own detection results. (Each line: x1,y1,x2,y2,...,xn,yn. Note that number of n is not limited to 14)

  2. run "python tools/ctw1500_evaluation/sortdetection.py",

  3. run "python tools/ctw1500_evaluation/test_ctw1500_eval.py"

Example output: "ap: 0.6143, recall: 0.8162, pred: 0.7497, FM: 0.7815"

Paper address: https://arxiv.org/pdf/1912.08990.pdf

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TextTubes for Detecting Curved Text in the Wild Paper reproduction

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