Research and implementation of automatic detection of the decoction pieces in traditional Chinese medicine prescription based on YOLOv3
With the popularization of traditional Chinese medicine,the intelligent identification of tradition-al Chinese decoction pieces and prescriptions is particularly important.In this paper,we train the automatic detection model of traditional Chinese medicine prescriptions decoction pieces to assist the automatic verifi-cation and intelligent identification of traditional Chinese medicine decoction pieces.Taking the addition and subtraction of Xiaochaihu Decoction as an example,the test data set of decoction pieces of traditional Chinese medicine prescriptions is constructed,and the YOLOv3 model is used to train the data set.The convergence speed of YOLOv3 model is fast.The test set mAP is 99.16%and the average FPS is 10.11.As a result,the Yolov3 model has a good detection effect on the data set of traditional Chinese medicine prescriptions,and can be widely used in the fields of intelligent identification and detection of prescription medicinal materials and identification of medicinal materials.This paper provides a new method for the i-dentification of traditional Chinese medicine and the intelligent detection of traditional Chinese medicine prescriptions decoction pieces.
deep learningobject detectiontraditional Chinese medicine prescriptionYOLOv3Chinese medicine
万方数据
维普
