编码
import cv2
thres = 0.45 # Threshold to detect object
cap = cv2.VideoCapture(0)
cap.set(3,1280)
cap.set(4,720)
cap.set(10,70)
classNames = []
classFile = '/home/pi/Desktop/objectDetection/coco.names'
with open(classFile,'rt') as f:
classNames = f.read().rstrip('\n').split('\n')
configPath = '/home/pi/Desktop/objectDetection/ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt'
weightsPath = '/home/pi/Desktop/objectDetection/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)
以下是用于安装 opencv/opencv-contrib 4.5.1 版的命令列表、文件结构、代码和错误的屏幕截图。
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