Power transmission line damper deformation defect detection method based on cascade R-CNN algorithm
A transmission line and defect detection technology, which is applied to the detection of deformation defects of transmission line anti-vibration hammers, based on the cascaded R-CNN algorithm in the field of detection of transmission line anti-vibration hammer deformation defects, can solve the problems of easy missed detection and false detection, and detection efficiency Low-level problems, to achieve the effect of preventing mismatch and reasonable design
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[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0026] see Figure 1~2 , a method for detecting deformation defects of transmission line anti-vibration hammers based on the cascaded R-CNN algorithm, including the following steps:
[0027] Step 1: Preprocess the anti-vibration hammer image obtained from the high-voltage transmission line inspection image set, and obtain the anti-vibration hammer image data set after preliminary preprocessing;
[0028] In this embodiment, the preprocessing method of the anti...
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