Onject ssd detection code code example

Example: Onject ssd detection code

import cv2thres = 0.45 # Threshold to detect objectcap = cv2.VideoCapture(1)cap.set(3,1280)cap.set(4,720)cap.set(10,70)classNames= []classFile = 'coco.names'with open(classFile,'rt') as f:    classNames = f.read().rstrip('\n').split('\n')configPath = 'ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt'weightsPath = 'frozen_inference_graph.pb'net = cv2.dnn_DetectionModel(weightsPath,configPath)net.setInputSize(320,320)net.setInputScale(1.0/ 127.5)net.setInputMean((127.5, 127.5, 127.5))net.setInputSwapRB(True)while True:    success,img = cap.read()    classIds, confs, bbox = net.detect(img,confThreshold=thres)    print(classIds,bbox)    if len(classIds) != 0:        for classId, confidence,box in zip(classIds.flatten(),confs.flatten(),bbox):            cv2.rectangle(img,box,color=(0,255,0),thickness=2)            cv2.putText(img,classNames[classId-1].upper(),(box[0]+10,box[1]+30),                        cv2.FONT_HERSHEY_COMPLEX,1,(0,255,0),2)            cv2.putText(img,str(round(confidence*100,2)),(box[0]+200,box[1]+30),                        cv2.FONT_HERSHEY_COMPLEX,1,(0,255,0),2)    cv2.imshow("Output",img)    cv2.waitKey(1)