ESP32-CAM 的识别代码

import cv2
import numpy as np
import urllib.request

url = 'http://192.168.31.152/cam-hi.jpg'

cap = cv2.VideoCapture(url)
whT = 320
confThreshold = 0.5
nmsThreshold = 0.3
classesfile = 'coco.names'
classNames = []
with open(classesfile, 'rt') as f:
    classNames = f.read().rstrip('\n').split('\n')

modelConfig = 'yolov3.cfg'
modelWeights = 'yolov3.weights'
net = cv2.dnn.readNetFromDarknet(modelConfig, modelWeights)
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU)


def findObject(outputs, im):
    hT, wT, cT = im.shape
    bbox = []
    classIds = []
    confs = []
    found_cat = False
    found_bird = False
    for output in outputs:
        for det in output:
            scores = det[5:]
            classId = np.argmax(scores)
            confidence = scores[cla