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- my-project For the detection of sign each frame is analysed. First the image is Converted into gray scale image and then threshold is performed. Then by using blob analysis portion of red part is extracted. Then this extracted part is compared with each template. If the template is matched with extracted part then a rectangle is drawn at the location of extracted part in that frame. In this way rectangle is drawn at all the frames and at the end all frames are played using implay video command. Recognition and display the Name of Traffic Sign Now when the template is matched with extracted blob this is done by using correlation. Each template is matched with extracted blob by correlating each template and extracted part.If there’s exactly or 50 match then a check is assigned that its completely matching with the extracted blob sign. Now template is recognized Now the name of recognized sign is concatenated with the red sign. Image of Sign is Deigned and will be provided With the Source Code.
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文件名称:python
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python 线性回归,引用了机器学习的scikit-learn包库 值得学习(python linear regression,introduce scikit-learn maching learning it is worth learning)
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