循环包含路径的 .csv 文件并将标签添加到第二列

Question

目前我正在尝试谷歌视觉。我收集了相当多的图像，现在我想使用 google vision 对其进行标记。

到目前为止，我有一个 .csv 文件，其中第一列包含图像的路径。现在我正在尝试遍历路径，然后将相应的标签添加到第二列。

import os
import io
from google.cloud import vision
import csv
import pandas as pd
from google.cloud.vision import types


os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r'C:\Users\user\PycharmProjects\Test1\ServiceAccountToken.json'
client = vision.ImageAnnotatorClient()

csvPath = r'C:\Users\user\PycharmProjects\Test1\pictures\Tests.csv'


with io.open(csvPath, 'rb') as csv_file:
    for lines in csv_file:
        with io.open(lines, 'rb') as image_file:
            content = image_file.read()
            image = vision.types.Image(content=content)
            response = client.label_detection(image=image)
            labels = response.label_annotations.description
        

因此，在运行此代码后，我希望这个 .csv 文件包含第二列中的标签，此时我也收到此错误

Traceback (most recent call last):
  File "C:/Users/user/PycharmProjects/Test1/googleVisionTests.py", line 17, in <module>
    with io.open(lines, 'r') as image_file:
OSError: [Errno 22] Invalid argument: b'C:/Users/user/PycharmProjects/Test1/pictures/35mm-tR-hmR1ZGmE-unsplash.jpg\r\n'

希望有人能帮忙！

谢谢！

Answer 1

替换

with io.open(csvPath, 'rb') as csv_file:

与

with io.open(csvPath, 'r') as csv_file:

'rb' 以二进制模式打开文件，这里不需要 csv 文件