The present application belongs to the field of power
system intelligent inspection and
computer vision technology, and provides a kind of
transmission line hidden danger target detection test
adaptive method and
system, obtains inspection image, utilizes pre-training
detector to carry out forward
inference to the inspection image, generates original prediction set, and the original prediction set includes prediction frame coordinates, class
label and
confidence score;Geometric
verification is carried out, and reasonable geometric prediction set is obtained;Carry out spatial neighborhood clustering, obtain multiple candidate clusters, calculate the scale dispersion of the area of the prediction frame in each candidate cluster, group according to the class
label, dynamically cluster the prediction frame in the group, perform weighted average on the prediction frame coordinates with the
confidence score as the weight, calculate the fusion confidence, obtain the refined pseudo
label set, use it as the supervision
signal, calculate the detection loss, and iteratively update the
model parameters through the optimization
algorithm until the iteration number is satisfied.The present application improves accuracy, versatility and
engineering reliability.