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Collection of HAAR and LBP cascades designed to recognize various street signs

License: MIT License

computer-vision opencv opencv-python python haar-cascade lbp-features xml computervision haar-classifiers autonomous-vehicles

road-sign-cascades's Introduction

road-sign-cascades

Collection of HAAR and LBP cascades designed to recognize various street signs.

What's included?

  • Data folder: Contains data from each stage of training. Can be used to create lower stage cascades or to train to further stages.
  • info.txt: Contains notes about the training data as well as parameters used during training. Created for my own use but maybe you will find them to be helpful.
  • A few cascades. Tried to include the ones that I felt performed the best. However you can use the data folders to create cascades of different stages. Sometimes lower stage cascades work better than higher stage ones.
  • Vector files: Each folder contains a vector file of positive images used during training. Use to train cascades using custom parameters or to train cascades further than I did.

Notes:

Traffic Light cascade needs work. Low detection rate.

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road-sign-cascades's Issues

How did you generate thousands of positive images?

I found that there are more thousands of positive images and I don't know how to do it. Could you please tell me some details about it? Just commands and project structure is okay. Thank you very much.

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