Hi Noob here. Just trying to figure out how to find the central x and y for the bounding box or another similar way of finding the center.
This is my code so far.
import cv2
import numpy as np
thres = 0.45
nmsThresh = 0.2
cap = cv2.VideoCapture(0)
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,nmsThreshold=nmsThresh)
print("coor is:",np.mean(bbox))
try:
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)
except:
pass
cv2.imshow("Output",img)
cv2.waitKey(1)
Any help would be greatly appreciated