python - 使用 tensorflow 时出现错误：int() 参数必须是字符串、类似字节的对象或数字，而不是“NoneType”

Question

import cv2
import numpy as np
from os import listdir
from os.path import isfile, join

data_path = 'C:/Users/jeado/Desktop/Facial-Recognition-master/faces'
onlyfiles = [f for f in listdir(data_path) if isfile(join(data_path,f))]

Training_Data, Labels = [], []

for i, files in enumerate(onlyfiles):
    image_path = data_path + onlyfiles[i]
    images = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
    Training_Data.append(np.asarray(images, dtype=np.uint8))
    Labels.append(i)

Labels = np.asarray(Labels, dtype=np.int32)

model = cv2.face.LBPHFaceRecognizer_create()

model.train(np.asarray(Training_Data), np.asarray(Labels))

model.write('LBPHFaceRecognizer.xml')

print("Model Training Complete!!!!!")

#但存在错误 #File "C:\Users\jeado\anaconda3\lib\site-packages\numpy\core_asarray.py"，第 85 行，在 asarray 返回数组中（a，dtype，copy=False，order=order）

#TypeError: int() 参数必须是字符串、类似字节的对象或数字，而不是“NoneType”

怎么解决 ？请帮我

标签： pythonstringintegernonetype

Answer 1

如果路径是 data_path'C:/Users/jeado/Desktop/Facial-Recognition-master/faces' 并且有一个名为'hello.png'

当你执行 image_path = data_path + onlyfiles[i] 结果路径是'C:/Users/jeado/Desktop/Facial-Recognition-master/faceshello.png' 为了解决这个问题

import cv2
import numpy as np
from os import listdir
from os.path import isfile, join

data_path = 'C:/Users/jeado/Desktop/Facial-Recognition-master/faces'
onlyfiles = [f for f in listdir(data_path) if isfile(join(data_path,f))]

Training_Data, Labels = [], []

for i, files in enumerate(onlyfiles):
    image_path = join(data_path ,onlyfiles[i])
    images = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
    Training_Data.append(np.asarray(images, dtype=np.uint8))
    Labels.append(i)

Labels = np.asarray(Labels, dtype=np.int32)

model = cv2.face.LBPHFaceRecognizer_create()

model.train(np.asarray(Training_Data), np.asarray(Labels))

model.write('LBPHFaceRecognizer.xml')

print("Model Training Complete!!!!!")