No file or directory found at C:\Users\529\PycharmProjects\demo\Utils\models\cnn_fv.h5
import cv2
from keras.models import load_model
import numpy as np
import dlib
model = load_model('C:\\Users\\529\\PycharmProjects\\demo\\Utils\\models\\cnn_fv.h5')
detector = dlib.get_frontal_face_detector()
video = cv2.VideoCapture(0)
font = cv2.FONT_HERSHEY_SIMPLEX
def rec(img):
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
dets = detector(gray,1)
if dets is not None:
for face in dets:
left = face.left()
top = face.top()
right = face.right()
bottom = face.bottom()
#绘制矩形框
cv2.rectangle(img,(left,top),(right,bottom),(0,255,0),2)
#cv2.resize将原始图像调整为指定大小 scr：原始图像 dsize：输出图像的尺寸
img1=cv2.resize(img[top:bottom,left:right],dsize=(224,224))
#颜色空间转换函数
img1=cv2.cvtColor(img1,cv2.COLOR_BGR2RGB)
img1 = np.array(img1)/255.
img_tensor = img1.reshape(1,224,224,3)
prediction =model.predict(img_tensor)
if prediction[0][0]<0.5:
result='nosmile'
else:
result='smile'
print(result)
cv2.putText(img, result, (left,top), font, 2, (0, 255, 0), 2, cv2.LINE_AA)
# 实时展示效果画面
cv2.imshow('smile detector', img)
while video.isOpened():
res, img_rd = video.read()
if not res:
break
rec(img_rd)
# 每5毫秒监听一次键盘动作
if cv2.waitKey(5) & 0xFF == ord('q'):
break
# 最后，关闭所有窗口
video.release()
cv2.destroyAllWindows()
找到模型文件，直接把路径粘进代码里，避免手敲
你可以写r'路径'，加r表示\不再是转义符
检查了这个路径下C:\Users\529\PycharmProjects\demo\Utils\models\cnn_fv.h5 真的有这个h5文件吗。
如果存在就试下反斜杠 model = load_model('C:/Users/529/PycharmProjects/demo/Utils/models/cnn_fv.h5')
或者试下model = load_model('C:\Users\529\PycharmProjects\demo\Utils\models\cnn_fv.h5')